document resume institution jan 67 95p. · references scope code i pages 7. associative property of...

96
DOCUMENT RESUME ED 052 021 SE 011 325 AUTHOR TITLE INSTITUTION PUB DATE NOTE EDRS PRICE DESCRIPTORS ABSTRACT Helwig, G. Alfred; Shepperd, Anna G. Review of Academic Mathematics, A Tentative Guide. Baltimore County Public Schools, Towson, Md. Jan 67 95p. EDRS Price MF-$0.65 HC-$3.29 *Algebra, *Course Content, *Geometry, Instructional Materials, Mathematical Concepts, Mathematics Education, Number Concepts, Secondary School Mathematics, *Teaching Guides This teaching guide outlines a semester course for those students who need review work in concepts from algebra and geometry. Successful completion of this material would serve as a prerequisite to the study of trigonometry. Sequence, textbook references, and time allotments are suggested. Units studied are: the real numbers; operations on the real numbers; relations, functions, and graphs; first-degree equations; inequalities; quadratic equations; and logarithms. Appendices provide instruction in set concepts, properties of right triangles, relations, functions, and graphs. (RS)

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Page 1: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

DOCUMENT RESUME

ED 052 021 SE 011 325

AUTHORTITLEINSTITUTIONPUB DATENOTE

EDRS PRICEDESCRIPTORS

ABSTRACT

Helwig, G. Alfred; Shepperd, Anna G.Review of Academic Mathematics, A Tentative Guide.Baltimore County Public Schools, Towson, Md.Jan 6795p.

EDRS Price MF-$0.65 HC-$3.29*Algebra, *Course Content, *Geometry, InstructionalMaterials, Mathematical Concepts, MathematicsEducation, Number Concepts, Secondary SchoolMathematics, *Teaching Guides

This teaching guide outlines a semester course forthose students who need review work in concepts from algebra andgeometry. Successful completion of this material would serve as aprerequisite to the study of trigonometry. Sequence, textbookreferences, and time allotments are suggested. Units studied are: thereal numbers; operations on the real numbers; relations, functions,and graphs; first-degree equations; inequalities; quadraticequations; and logarithms. Appendices provide instruction in setconcepts, properties of right triangles, relations, functions, andgraphs. (RS)

Page 2: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

I

a//

U.S. DEPARTMENT OF HEALTH.EDUCATION& WELFAREOFFICE OF EDUCATION

THIS DOCUMENT HAS BEEN REPRO-

DUCED EXACTLY AS RECEIVED FROM

THE PERSON OR ORGANIZATION ORIG

INATING IT POINTS OF VIEW OR DPIN.IONS STATED DO NOT NECESSARILYREPRESENT OFFICIAL OFFICE OF EDU-

CATION POSITION OR POLICY

BALTIMORE COUNTY PUBLIC SCHOOLS

A Tentative Guide

REVIEW OF ACADEMIC MATHEMATICS

TOWSON, MARYLAND

JANUARY, 1967

Page 3: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

BALTIMORE COUNTY PUBLIC SCHOOLS

A Tentative Guide

REVIEW OF ACADEMIC MATHEMATICS

Prepared under the direction ofG. Alfred Helwig

Director of CurriculumAnna G. Shepperd

Assistant Superintendent of Instruction

Committee Member sRobert Frey, ChairmanEva HighW. Edwin Freeny

Stanley A. SmithSupervisor of Senior High School Mathematics

Vincent BrantCoordinator of Mathematics

William S. SartoriusSuperintendent

Towson, Maryland1967

Page 4: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

BOARD OF EDUCATION OF BALTIMORE COUNTYAigburth Manor

Towson, Maryland 21204

T. Bayard Williams, Jr.President

Mrs. John M. Crocker H. Ems lie ParksVice -President

Mrs. Robert L. Berney Ramsay B. Thomas, M. D.H. Russell Knust Richard W. Tracey, D. V. M.

William S. SartoriusSecretary-Treasurer and Superintendent of Schools

Page 5: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

TABLE OF CONTENTS

I. Foreword

II.A. UNIT I: The Set of Real Nur, [ber s and its Subsets.. 1

B. UNIT II: Fundamental Operations of Real Numbers 7

C. UNIT III: Relations, Functions, and Graphs 12

D. UNIT IV: First-Degree Equations 16

E. UNIT V: Inequalities 21

F. UNIT VI: Quadratic Functions and Equations 23

G. UNIT VII: Logarithms 25

III. Factor ing (Blue)

IV. Appendix II - Review I Elementary Set Concepts (Yellow)

V. Appendix I - Special Right Triangles (Green)

VI. Relations, Functions and Graphs (White)

Page 6: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

FOREWORD

Review of Academic Mathematics is a first semester course inthe RAM-Trig, sequence designed for those students who have hadAlgebra II and Geometry, but whose background is still not adequate forTrigonometry. This course emphasizes those concepts and skillsprerequisite to the study of Trigonometry. Topics such as operationson algebraic quantities, functions, geometry, and logarithms areincluded.

The time allotment and sequence of topics are suggestive. The

teacher may adjust these according to the needs of the students. Some

topics require supplementary material which may be obtained fromyour department chairman.

MaterialsCODE:

WKP Basic Text: Welchons, Krichenberger, PearsonAlgebra, Book Two. New York: Ginn and Co. 1957

Supplementary Materials(For distril-ution to students)

App I Appendix I: Special Right TrianglesApp II Review of Elementary Set ConceptsSMSG SMSG: InequalitiesVB Relations, Functions and Graphs

ReferencesA 0 Allendoerfer and Oakley. Principles of MathematicsVGF Vanatta, et al. Algebra Two, A Modern Course, new editionI A Adler, Irving. The New Mathemati-,sD Dolciani, Mary P. Modern Algebra Book IDB W Dolciani, Berman and Wooton. Modern Algebra Book II

SMSG: Geometry with CoordinatesJDD Jurgensen, Donnelly and Dolciani. Modern Geometry:

Structure and MethodR Rosenbach, et al., Plane TrigonometryH Heineman. Plane Trigonometry With Tables

- i -

Page 7: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PE

UN

IT I

T /e

Set

of

Rea

l Num

bers

and

its

Subs

ets

(Tim

e A

llotm

ent 3

day

s)

I.In

trod

uctio

n

A.

His

tori

cal b

ackg

roun

d

1.D

evel

opm

ent o

f nu

mbe

rs

2.N

umer

als

ILN

atur

al N

umbe

rsN

= {

1, 2

, 3...

}

A.

Subs

ets

of n

atur

al n

umbe

rs

1.U

nit s

et{1

}

2.Se

t of

prim

e nu

mbe

rs{2

, 3, 5

, 7...

}

3.Se

t of

com

posi

te n

umbe

rs{4

, 6, 8

, 9, 1

0..

B.

Sym

bols

of

grou

ping

:(

),

[,

5 +

{3

+ [

8 +

4(1

0)-

9 1

}

5 +

{3

+[

8 +

40-

9}

5 +

{3

+[

8 +

31]

5 +

{3

+ 3

9}5

+ 4

2 =

47

{},

RE

FER

EN

CE

SC

OD

E P

AG

ES

A 0

p. 3

9V

GF

P. 5

-6

VG

Fp.

7

WK

Pp.

26

1

Page 8: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

C.

D.

Ord

er o

f O

pera

tions

Exa

mpl

e: C

ompu

te4(

3 +

5)

- 24

4--

6 +

37

:=4

8-

24 -

H 6

+ 3

.7

:-.-

-32

-4

+ 2

149

Prop

ertie

s of

Nat

ural

Num

bers

(The

teac

her

shou

ld u

se n

umer

ical

exa

mpl

es to

illus

trat

e th

ese

prop

ertie

s. )

1. O

rder

For

diff

eren

t a a

nd b

e N

, a>

b or

b >

a2.

Clo

sure

pro

pert

y of

add

ition

If a

and

b a

re n

atur

al n

umbe

rs, t

hen

a +

b is

a u

niqu

e na

tura

l num

ber

3. C

losu

re p

rope

rty

of m

ultip

licat

ion

If a

and

b a

re n

atur

al n

umbe

rs, t

hen

ab is

aun

ique

nat

ural

num

ber

4. M

ultip

licat

ive

iden

tity

prop

erty

The

re is

an

iden

tity

elem

ent 1

for

mul

tiplic

atio

nsu

ch th

at

For

all a

e N

, a1

= 1

a =

a

5. C

omm

utat

ive

prop

erty

of

addi

tion

For

alla

, beN

, a+

b=b+

a6.

Com

mut

ativ

e pr

oper

ty o

f m

ultip

licat

ion

For

all a

, be

N, a

b =

ba

WK

P

VG

F

p. p.

14 8-9

- 2

-

Page 9: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

RE

FER

EN

CE

SSC

OPE

CO

DE

I P

AG

ES

7.A

ssoc

iativ

e pr

oper

ty o

f ad

ditio

n

For

alla

, b, c

EN

,(a

+b)

+c=

a+(b

+c)

8.A

ssoc

iativ

e pr

oper

ty o

f m

ultip

licat

ion

For

all a

, b, c

EN

, (ab

)c =

a(b

c)9.

Dis

trib

utiv

e pr

oper

ty o

f m

ultip

licat

ion

over

add

ition

For

all a

, b, c

EN

, a(b

+c)

= a

b +

al

Thi

s pr

oper

ty c

onne

cts

the

two

oper

atio

ns o

f m

ultip

licat

ion

and

addi

tion.

Inte

gers

J =

{...

, -3,

-2,

-1,

0,1,

2,3,

... }

A.

Prop

ertie

s of

Int

eger

s(T

he te

ache

r sh

ould

use

num

eric

al e

xam

ples

to il

lust

rate

thes

e pr

oper

ties.

)

1.O

rder

2.C

losu

re p

rope

rty

of a

dditi

on

3.C

losu

re p

rope

rty

of m

ultip

licat

ion

4.A

dditi

ve id

entit

y pr

oper

ty

The

re is

an

iden

tity

elem

ent 0

for

add

ition

suc

h th

at

For

alla

EJ,

a+

0 =

0 +

a=a

5.M

ultip

licat

ive

iden

tity

prop

erty

6.C

omm

utat

ive

prop

erty

of

addi

tion

7.C

omm

utat

ive

prop

erty

of

mul

tiplic

atio

n

VG

F

A 0

p. p.

10.-

11

51

3

Page 10: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

;PA

GE

S

8. A

ssoc

iativ

e pr

oper

tyof

add

ition

9. A

ssoc

iativ

e pr

oper

tyof

mul

tiplic

atio

n

10. D

istr

ibut

ive

prop

erty

of m

ultip

licat

ion

over

addi

tion

11. A

dditi

ve in

vers

epr

oper

ty

For

all a

E J

ther

e is

an

addi

tive

inve

rse

(-a)

E J

suc

h th

at

a+ (

-a)

= (

-a)

+ a

=0

B.

Spec

ial p

rope

rtie

s of

zer

o

1Fo

r al

laE

J, a

- 0

=0

a=0

Z. a

b =

0 if

and

onl

y if

a =

0 or

u =

0

3. F

or a

ll a

E J

,0a is

not

def

ined

IV. R

atio

nal N

umbe

rs.

Let

Q =

set

of

ratio

nal n

umbe

rs

A.

Def

initi

on

1. A

rat

iona

l num

ber

is a

num

ber

whi

ch m

ay b

e ex

pres

sed

in th

e fo

rm

aw

here

a, b

E J

and

b0.

b2.

Any

rat

iona

l num

ber

may

be e

xpre

ssed

as

a.=

A te

rmin

atin

g de

cim

al;

1.2

5;3

= .3

75; o

r4

18

1

b.A

n in

fini

te r

epea

ting

deci

mal

;=

.333

... ;

=3

3

B.

Sum

mar

y of

Pro

pert

ies

of R

atio

nalN

umbe

rs

1. A

ll th

e pr

oper

ties

of a

dditi

onan

d m

ultip

licat

ion

of in

tege

rs h

old

for

the

ratio

nal n

umbe

rs.

VG

Fp.

22-

25

WK

Pp.

213

-214

4

Page 11: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PE

2. M

ultip

licat

ive

inve

rse

prop

erty

For

all a

e Q

, a +

0, t

here

is a

mul

tiplic

ativ

e in

vers

e1

11

e Q

suc

h th

at a

a =

aa

=a

C.

Ven

n D

iagr

am

For

Nat

ural

Num

bers

, Rat

iona

l Num

bers

, and

Int

egei

-s

V.

Irra

tiona

l Num

bers

.L

et T

= s

et o

f ir

ratio

nal n

umbe

rs

A.

Def

initi

on

An

irra

tiona

l num

ber

is a

num

ber

whi

ch m

ay b

eex

pres

sed

as

a no

n-te

rmin

atin

g, n

on-r

epea

ting

deci

mal

.

B.

Dis

cove

ry c

redi

ted

to P

ytha

gora

s (c

irca

540

B. C

.)3

C.

Exa

mpl

es:

J 2

,J

4,

n,

.121

2312

3412

345.

..

VI.

Rea

L N

umbe

rs. L

et R

= th

e se

t of

real

. nui

nbcr

s

A.

R =

QuT

and

Q n

T=

4

RE

FER

EN

CE

SC

-3D

EI

PAG

ES

WK

P2.

214

VG

Fp.

30-

33

Page 12: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

PAG

ES

B.

Geo

met

ric

inte

rpre

tatio

n of

rea

l num

bers

1.T

he n

umbe

r lin

eI

Ap.

14

2.O

ne to

one

cor

resp

onde

nce

betw

een

the

set o

f re

al n

umbe

rs a

nd

the

set o

f po

ints

on

a lin

e.

VG

Fp.

35

C.

Cla

ssif

icat

ion

of n

umbe

rs (

char

t)A

0p.

56,6

5

D.

Ven

n D

iagr

ams

VG

Fp.

36-3

7

E.

Prop

ertie

s of

Rea

l Num

bers

JDD

p.99

-100

(The

teac

her

shou

ld u

se n

umer

ical

exa

mpl

es to

illu

stra

te p

rope

rtie

s. )

All

the

prop

ertie

s of

add

ition

and

mul

tiplic

atio

n of

rat

iona

l num

bers

also

hol

d fo

r th

e re

al n

umbe

rs.

VII

.R

evie

w

VII

I.T

est

6

Page 13: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

UN

IT I

I

Fund

amen

tal O

pera

tions

of

Rea

l Num

bers

(Tim

e A

llotm

ent 1

5 da

ys)

I.A

dditi

on a

nd S

ubtr

actio

n

The

teac

her

shou

ld r

evie

w th

e ad

ditio

n an

d su

btra

ctio

n of

who

le

num

bers

, int

eger

s, a

nd p

olyn

omia

ls th

roug

h da

ily d

rills

.

II.

Law

s of

Rat

iona

l Exp

onen

ts f

or R

eal N

umbe

rs(T

he te

ache

r sh

ould

dev

elop

thes

e la

ws

usin

g nu

mer

ical

exp

onen

ts. )

A.

xrn

xnm

+ n

= x

mB

.=

xm -

n,w

here

x j

0x xn

C.

x0=

1, w

here

x0.

Em

phas

ize

that

this

sta

tem

ent i

s a

defi

nitio

n.

m-

D.

1, w

here

x#

0.E

mph

asiz

e th

at th

is s

tate

men

t is

a

defi

nitio

n.

E.

(xm

)n=

xmn

P.

(xy)

n=

xnyn

G.

(±)

Y

xn nw

here

0

WK

Pp.

17-

18p.

35

Ex.

10-

15

WK

Pp.

203

WK

P3)

.20

4

- 7

-

Page 14: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

; PA

GE

S

H.

For

all x

E R

and

odd

pos

itive

b E

J

For

all r

eal x

> 0

and

eve

n po

sitiv

e bE

j}I

1

For

all r

eal x

< 0

and

eve

n po

sitiv

e b

E J

,xb

is n

ot d

efin

ed

(doe

s no

t exi

st)

III.

Law

s of

Rad

ical

s fo

r R

eal N

umbe

rs x

and

y a

nd P

ositi

ve I

nteg

ers

m a

nd n

A.

For

all x

> 0

,(

x)n

= x

ni x

nB

.Fo

r al

l x >

0,

V

For

all x

< 0

,an

d po

sitiv

e ev

en in

tege

r n,

1Y x

n=

Ix!

2In

par

ticul

arJ

x=

lxl.

Stre

ss th

at th

e sy

mbo

l

(whe

re n

is e

ven)

mea

ns a

non

-neg

ativ

e in

tege

r.

For

all x

< 0

and

pos

itive

odd

inte

ger

n,xn

= x

/3 % (

-5)3

= -

5

C.

For

all x

, y >

0,

(x)

=(

x )

D.

For

all x

, y >

0,

n.,-

-N

xy=

NX

vy/

E.

For

all x

, y >

0,

n /x y

n, y

nil

f\J

II

WK

P p.

216-

223

- 3

-

Page 15: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

1PA

GE

S

F.Fo

r al

l x >

0,

q 1r

x=

mfv

x

IV.

Prod

ucts

of

Poly

nom

ials

WK

Pp.

19-2

3(T

he te

ache

r sh

ould

obt

ain

stud

ent c

opie

s of

the

PRO

DU

CT

S A

ND

FAC

TO

RIN

G s

heet

fro

m th

e de

part

men

t cha

irm

an. )

A.

Prod

uct o

f tw

o m

onom

ials

B.

Prod

uct o

f a

mon

omia

l and

a p

olyn

omia

l

C.

Prod

ucts

of

two

poly

nom

ials

V.

Div

isio

nW

KP

p.23

A.

Div

isio

n of

a p

olyn

omia

l by

a m

onom

ial

1.In

clud

e pr

oble

ms

with

inte

gral

and

rat

iona

l exp

onen

ts.

2.E

mph

asiz

e th

e di

stri

butiv

e pr

inci

ple

in S

impl

ifyi

ng d

ivis

ion

prob

lem

s.

3.St

ress

the

need

for

sta

ting

the

rest

rict

ions

on

the

valu

es o

fth

e va

riab

le in

the

deno

min

ator

in o

rder

that

the

ratio

nal

expr

essi

on m

ay b

e pr

oper

ly d

efin

ed.

4.A

void

the

use

of th

e te

rm "

canc

el. "

Inst

ead

refe

r to

"2a

a +

0"

as ju

st "

anot

her

nam

e fo

r 1,

the

,2a mul

tiplic

ativ

e id

entit

y. "

2a2

- 8a

2a(a

- 4

)a

- 4

+,

a0

==

4a2a

aa

9

Page 16: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

5.St

ress

the

reas

on f

or "

inve

rtin

g an

d m

ultip

lyin

g"W

KP

p.25

33

8

44

73

86

37

==

77

84:

77

88

7

B.

Div

isio

n of

a p

olyn

omia

l by

a po

lyno

mia

lW

KP

p. 2

F

C.

Synt

hetic

div

isio

nW

KP

p.52

4

D.

Rat

iona

lizin

g a

radi

cal.

deno

min

ator

WK

Pp.

222

VI.

Fact

orin

gW

KP

p.71

-84

Stud

ents

sho

uld

be a

ble

to id

entif

y th

e ty

pes

of p

olyn

omia

ls a

s a

nece

ssar

y co

nditi

on f

or f

acto

ring

.U

se th

e st

uden

t she

ets

on

PRO

DU

CT

S A

ND

FA

CT

OR

ING

.

A.

Com

mon

mon

omia

l fac

tori

ng

B.

Com

mon

bin

omia

l fac

tori

ng

C.

Gen

eral

trin

omia

l. fa

ctor

ing

D.

Perf

ect s

quar

e tr

inom

ial

E.

Dif

fere

nce

of tw

o sq

uare

s fa

ctor

ing

F.Su

m a

nd d

iffe

renc

e of

cub

es f

acto

ring

G.

Poly

nom

ial.

fact

orin

g in

volv

ing

the

Rem

aind

er a

nd F

acto

r T

heor

em

s

- 10

-

Page 17: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

VII

. Ope

ratio

ns o

n Fr

actio

ns I

nvol

ving

Fac

tori

ng

VII

I. C

ompl

ex F

ract

ions

IX. C

ompl

ex N

umbe

rs -

an

exte

nsio

n of

the

real

num

ber

syst

em

A.

The

nee

d fo

r ex

tend

ing

the

real

num

bers

in o

rder

to s

atis

fy

the

equa

tion

x2=

-1

B.

The

imag

inar

y un

it i a

nd it

s po

wer

s

C.

Gra

phin

g im

agin

ary

num

bers

D.

Ope

ratio

ns w

ith im

agin

ary

num

bers

E.

Com

plex

num

bers

F.G

raph

ing

com

plex

num

ber

s

G.

Ope

ratio

ns w

ith c

ompl

ex n

umbe

rs

H.

Gra

phic

add

ition

and

sub

trac

tion

of c

ompl

ex n

umbe

rs

X. R

evie

w

XI.

Tes

t

WK

Pp.

104

-110

WK

Pp.

111

WK

Pp.

228

-233

Page 18: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

PA

GE

S

UN

IT I

II

Rel

atio

ns, F

unct

ions

, and

Gra

phs

(Tim

e A

llotm

ent 1

0 da

ys)

Tea

cher

s sh

ould

obt

ain

stud

ent c

opie

s of

this

uni

t fro

m th

eir

Dep

artm

ent C

hair

man

.

I.In

trod

uctio

n

II.

The

Use

of

Sent

ence

s in

Mat

hem

atic

s

III.

Tru

th V

alue

s of

Sen

tenc

es a

nd R

elat

ions

IV. B

inar

y R

elat

ions

V.

Proc

edur

e in

Inv

estig

atin

g R

elat

ions

A.

Tes

t que

stio

n fo

r de

term

inin

g tr

ue o

r fa

lse

sent

ence

s

B.

Nec

essi

ty ir

cle

arly

def

ined

sen

tenc

es

C.

Abb

revi

atio

n of

def

inin

g se

nten

ce

D.

Ord

er o

f el

emen

ts in

a p

air

E.

Sum

mar

y of

the

feat

ures

of

bina

ry r

elat

ions

VI.

Rel

atio

ns a

nd S

ets

A.

The

link

bet

wee

n re

latio

ns a

nd s

ets

B.

The

ele

men

ts o

f a

trut

h se

t

VII

. The

Car

tesi

an P

rodu

ct o

f T

wo

Sets

A.

Intr

oduc

tion

B.

Def

initi

on o

f C

arte

sian

pro

duct

of

two

sets

VB

p. 1

-3

VB

p. 3

-6

VB

p. 6

-9

VB

p. 9

- 13

- 1Z

-

Page 19: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

VII

I. G

raph

s of

the

Car

tesi

an P

rodu

cts

to b

e U

sed

in S

ente

nces

A.

Intr

oduc

tion

B.

Nat

ural

num

ber

s

C.

Inte

gers

D.

Rat

iona

l num

bers

E.

Rea

l num

ber

s

IX. .

Sent

ence

s in

Tw

o V

aria

bles

A.

Solu

tion

set o

f se

nten

ces

in tw

o va

riab

les

B.

Dom

ain

and

rang

e of

a r

elat

ion

C.

Func

tions

X.

Sent

ence

s E

xpre

ssin

g E

qual

ity

XI.

Ineq

ualit

ies

in S

ente

nces

in T

wo

Var

iabl

es

A.

Intr

oduc

tion

B.

Exa

mpl

e 1.

To

find

the

solu

tion

set a

nd g

raph

of:

{ (x

, y)

Iy

> x

} w

hen

U =

{1,

2,3,

4}C

.E

xam

ple

2.T

o fi

nd th

e so

lutio

n se

t and

gra

ph o

f:

{ (x

, y)

Iy

> x

} w

hen

U =

{-2,

-1,

0, +

1, +

2}

D.

Exa

mpl

e 3.

To

find

the

solu

tion

set a

nd g

raph

of:

(x, y

)I

y >

whe

n U

= th

e- s

et o

f re

al-n

umbe

rs.

CO

DE

PA

GE

S

VB

p. 1

3-16

VB

p. 1

7-21

VB

p. 2

2-26

VB

p. 2

6-35

Page 20: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

E.

The

abs

olut

e va

lue

of r

eal n

umbe

rsF.

Sent

ence

s in

volv

ing

ineq

ualit

ies

with

abs

olut

e va

lues

G.

Sent

ence

s in

volv

ing

vari

able

s of

the

seco

nd d

egre

e

XII

.Fu

nctio

nal N

otat

ion

VB

p. 3

6-R

A.

F =

{ (x

, y)

Iy

= x

- 1

} or

G =

{ (x

, y)

Iy=

x2}

f=

{ (x

, y)

I y

= 2

x}or

g=

{ (x

, y)

I y

= x

2}

B.

f(x)

or g

(x)

C.

The

fun

ctio

n ca

n th

eref

ore

be r

epre

sent

ed in

dif

fere

nt f

or m

s:

f=

{ (x

,y)

I y

= x

2}f

={

(x, x

2) }

f=

{ (x

, f(x

) )

If(

x) =

x2}

D.

Exa

mpl

e: G

iven

the

func

tion

f de

fine

d by

{ (x

, y)

I y

= x

- 1}

,fi

nd f

(1),

f(0

), f

(-12

)

E.

Exa

mpl

e: G

iven

the

func

tion

G d

efin

ed b

y

{ (x

,y)

Iy

=3x

2}fo

r th

e se

t U =

{-2

,-1,

C, +

1, +

2} f

ind

G(-

2), G

(1)

F.E

xam

ple:

Giv

en th

e fu

nctio

n f

defi

ned

by th

e se

nten

ce o

r ru

le

f(r)

=4

Tr

r3fi

nd f

(-5)

, f(a

), f

(3t)

,3

-14-

Page 21: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

1PA

GE

S

XII

I.

XIV

.

XV

.

XV

I.

Syst

ems

of S

ente

nces

Inv

olvi

ng E

quat

ions

and

Ineq

ualit

ies

A.

Intr

oduc

tion

B.

Exa

mpl

e 1:

Gra

ph th

e fo

llow

ing

sent

ence

s an

d st

ate

the

solu

tion

com

mon

to b

oth

sent

ence

s w

here

U =

the

set o

f re

al

num

bers

( x

+ 3

y =

6

( 4x

- y

= 1

1

C.

Exa

mpl

e 2:

Fin

d th

e so

lutio

n co

mm

on to

bot

hof

the

follo

win

g

sent

ence

s w

here

U =

the

set o

f re

al n

umbe

rs

y >

x

x +

y >

6

D.

Exa

mpl

e 3:

Fin

d th

e so

lutio

n co

mm

on to

bot

h se

nten

ces

whe

re

U =

the

set o

f re

al n

umbe

rs

cx2

y2

Sum

mar

y

Rev

iew

'

Tes

t

VB VB

p. p.

38-4

0

41

Page 22: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

D E

, PA

GE

S

UN

IT I

V

Firs

t - D

egre

e E

quat

ions

(Tim

e A

llotm

ent 1

5 da

ys)

The

teac

her

shou

ld s

tres

s a

set t

heor

etic

app

roac

h us

ing

the

idea

s in

Uni

t III

.

I.Se

ts a

nd V

aria

bles

Bp.

1-2

3(T

hese

topi

cs c

once

rnin

g se

ts s

houl

d be

a b

rief

rev

iew

.O

btai

n st

uden

tco

pies

of

u-R

evie

w o

f E

lem

enta

ry S

et C

once

pts"

. fro

m y

our

Dep

artm

ent

Cha

irm

an. )

A.

Con

cept

of

set

B.

Bas

ic te

rms

mem

ber

or e

lem

ent

(e)

equa

l set

s

non-

mem

ber

(i)

repl

acem

ent s

et

rule

met

hod

cons

tant

rost

er m

etho

dop

en s

ente

nce

fini

te s

etso

lutio

n se

t or

trut

h se

t

infi

nite

set

root

the

empt

y or

nul

l set

II.

Use

of

Sets

A.

Typ

es o

f su

bset

s

1.Pr

oper

sub

set

- 16

-

Page 23: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

I P

AG

ES

2.Im

prop

er s

ubse

t(N

OT

E: T

he e

mpt

y se

t is

a pr

oper

sub

set o

f ev

ery

set e

xcep

t its

elf.

)

B.

Ope

ratio

ns o

n se

ts

1.In

ters

ectio

n (A

n B

)Z

.U

nion

(A

U B

)

3.C

ompl

emen

t(

)

C.

Ven

n di

agra

ms

1.U

nive

rsal

set

Z.

Dia

gram

s fo

r in

ters

ectio

n, u

nion

, and

com

plem

ent

III.

The

Sol

utio

n of

Ope

n Se

nten

ces

A.

Tra

nsfo

rmin

g eq

uatio

ns w

ith p

rope

rtie

s of

equ

ality

1.A

dditi

on p

rope

rty

of e

qual

ity

For

all r

eal n

umbe

rs a

, b,

c,if

a =

b, t

hen

a+c=

b+c

2.M

ultip

licat

ion

prop

erty

of

equa

lity

For

all r

eal n

umbe

rs a

, b,

c,if

a =

b, t

hen

ac =

be

B.

Step

s in

sol

ving

(Fo

llow

out

line

as li

sted

in te

xt. )

The

teac

her

shou

ld e

mph

asiz

e th

at th

e va

lue

foun

d fo

r th

e va

riab

le

is a

roo

t onl

y w

hen

it sa

tisfi

es th

e or

igin

al e

quat

ion.

DB

Fp.

80-

33

V/K

Pp.

41

WK

Pp.

42-

44

Page 24: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFi

R E

NC

ES

CO

DE

PAG

ES

C.

Lite

ral e

quat

ions

and

for

mul

asW

KP

p.45

D.

Eva

luat

ion

of f

orm

ulas

WK

Pp.

46

IV.

Usi

ng V

aria

bles

to S

olve

Ver

bal P

robl

ems

A.

Inte

rpre

ting

alge

brai

c ex

pres

sion

s an

d se

nten

ces

WK

Pp.

47-4

8

(The

key

to s

olvi

ng "

verb

al p

robl

ems"

is s

kill

in tr

ansl

atin

gD

BF

p.11

9-54

Eng

lish

phra

ses

and

sent

ence

s ab

out n

umbe

rs in

to c

orre

spon

ding

alge

brai

c ex

pres

sion

s an

d se

nten

ces.

)

DB

Wp.

60-6

1

B.

Step

s in

sol

ving

pro

blem

s

(Use

ste

ps a

s lis

ted

in te

xt.)

C.

Typ

es o

f pr

oble

ms

WK

Pp.

49

1.G

eom

etry

WK

Pp.

51-5

8

2.M

otio

n

3.L

ever

4.M

ixtu

re

V.

Frac

tiona

l Equ

atio

ns

A.

Tec

hniq

ues

empl

oyed

in s

olvi

ng f

ract

iona

l equ

atio

nsW

KP

P.11

3

1.Fi

ndin

g th

e le

ast c

omm

on m

ultip

le o

f th

e de

nom

inat

ors

KP

p.11

4-11

7

2.T

rans

form

ing

the

give

n eq

uatio

n in

to a

n eq

uiva

lent

equ

atio

n.1)

BW

p.27

The

stu

dent

sho

uld

iden

tify

at th

e ou

tset

the

valu

es o

f th

e va

riab

le(T

each

er's

man

ual)

- 18

-

Page 25: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

R E

NC

ES

CO

DE

;PA

GE

S

fos'

Avh

ich

one"

,or

both

mem

bers

of

the

equa

tion

are

not d

efin

ed.

Thi

s m

eans

that

the

repl

acem

ent s

et s

houl

d be

mea

ning

ful f

or th

e

prob

lem

.M

ultip

lyin

g an

equ

atio

n by

a v

aria

ble

expr

essi

on w

hich

may

repr

esen

t0

will

fre

quen

tly p

rodu

ce a

n eq

uatio

n w

hich

is n

ot

equi

vale

nt to

the

give

n eq

uatio

n.

B.

Ver

bal p

robl

ems

invo

lvin

g fr

actio

nal e

quat

ions

1.W

ork

prob

lem

s

2.M

otio

n pr

oble

ms

3.Pr

oble

ms

deal

ing

with

num

bers

VI.

Syst

ems

of L

inea

r E

quat

ions

A.

Lin

ear

com

bina

tion

met

hod

("el

imin

atio

n by

add

ition

or

subt

ract

ion"

)W

KP

p.16

4-16

5

(Em

phas

ize

that

the

root

, if

it ex

ists

, is

an o

rder

ed p

air

of n

umbe

rs,

not a

pai

r of

equ

atio

ns.)

DB

Wp.

95-9

8

B.

Subs

titut

ion

met

hod

VI

K P

p.16

6

C.

Det

erm

inan

t met

hod

WK

Pp.

41 9

- 4

25

1.D

efin

ition

of

dete

rmin

ant

2.So

lutio

n of

two

linea

r eq

uatio

ns in

two

vari

able

s

3.So

lutio

n of

thre

e lin

ear

equa

tions

in th

ree

vari

able

s

(Exp

ansi

on b

y di

agon

als

only

. )

- 19

Page 26: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

IPA

GE

S

VII

. Rat

io, .

Prop

ortio

n, a

nd V

aria

tion

A.

Def

initi

ons

B.

Exp

ress

ing

ratio

s an

d so

lvin

g pr

oble

ms

deal

ing

with

rat

ios

C.

Exp

ress

ing

prop

ortio

ns a

nd s

olvi

ng p

robl

ems

with

pro

port

ions

1.G

eom

etry

pro

blem

s (S

tres

s pr

opor

tiona

l sid

es o

f si

mila

r

tria

ngle

s.)

D.

Dir

ect v

aria

tion

E.

Inve

rse

vari

atio

n

F.Jo

int v

aria

tion

(opt

iona

l)

VII

I. R

evie

w

A.

Cha

pter

rev

iew

s

B.

Cha

pter

test

sC

.C

heck

ing

your

und

erst

andi

ng (

end

of e

ach

chap

ter

in te

xt)

IX.

Tes

t

WK

Pp.

189

ii K

Pp.

190

WK

Pp.

191

-192

WK

P1,

.19

3

WK

Pp.

194

DB

Wp.

211

-?.1

2W

KP

p. 1

95W

KP

p. 1

96D

BW

p. 3

13-3

15

Page 27: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PE

UN

IT V

RE

FER

EN

CE

SC

OD

E P

AG

ES

I.

Ineq

ualit

ies

(Tim

e A

llotm

ent 1

0 da

ys)

Ord

er o

n th

e N

umbe

r L

ine

A.

The

num

ber

line

B.

Sent

ence

s in

volv

ing

ineq

ualit

ies

SlV

ISC

T

Ine

qual

itie

sp.

1-1

3C

.O

pen

sent

ence

s

D.

Gra

ph o

f tr

uth

sets

E.

Com

poun

d in

equa

litie

s:O

r

F.C

ompo

und

ineq

ualit

ies:

And

G.

Gra

ph o

f tr

uth

sets

of

com

poun

d op

en s

ente

nces

II.

Prop

ertie

s of

Ord

er

A.

Com

pari

son

prop

erty

SMSG

B.

Tra

nsiti

ve p

rope

rty

of o

rder

Ineq

ualit

ie s

p. 1

5-37

C.

Ord

er o

f op

posi

tes

D.

Ord

er r

elat

ion

for

real

num

bers

E.

Add

ition

pro

pert

y of

ord

er

F.M

ultip

licat

ion

prop

erty

of

orde

r

- 21

-

Page 28: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

?PA

GE

S

III.

Solu

tion

of I

nequ

aliti

es

A.

Equ

ival

ent i

nequ

aliti

esSM

SG

B.

Poly

nom

ial i

nequ

aliti

esIn

equa

litie

sp.

39-

47C

.R

atio

nal i

nequ

aliti

es

IV.

Gra

phs

of O

pen

Sent

ence

s in

Tw

o V

aria

bles

A.

Ineq

ualit

ies

in tw

o va

riab

les

SMSG

B.

Gra

phs

of o

pen

sent

ence

s in

volv

ing

inte

gers

onl

yIn

equa

litie

sp.

49-

63C

.Sy

stem

s of

ineq

ualit

ies

V.

Rev

iew

VI.

Tes

t

- 22

-

Page 29: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

'PA

GE

S

I.

UN

IT V

I

Qua

drat

ic F

unct

ions

and

Equ

atio

ns

(Tim

e A

llotm

ent 1

0 da

ys)

Qua

drat

ic F

unct

ion

defi

ned

by y

= a

x2+

bx

+ c

, whe

re a

, b, c

.c R

and

a +

VJK

Pp.

247-

253

A.

Ter

min

olog

y to

be

stre

ssed

:pa

rabo

la, t

urni

ng p

oint

, max

imum

valu

e, m

inim

um v

alue

, axi

s of

sym

met

ry

B.

Gra

phC

.M

axim

um a

nd m

inim

um v

alue

s

D.

Axi

s of

sym

met

ry

II.

Qua

drat

ic E

quat

ions

set

not

atio

n to

be

used

in s

tatin

g eq

uatio

nW

KP

p.25

5

A..

Gra

phic

sol

utio

n

B.

Alg

ebra

ic s

olut

ions

WK

Pp.

257-

264

1.So

lutio

n of

pur

e or

inco

mpl

ete

quad

ratic

Solv

ed b

y us

ing

prin

cipl

e:ro

ots

of e

qual

s ar

e eq

ual.

2.So

lutio

n of

com

plet

e qu

adra

tics

a.So

lutio

n by

fac

tori

ngb.

Solu

tion

by c

ompl

etin

g th

e sq

uare

3.D

eriv

atio

n of

qua

drat

ic f

orm

ula

by s

olvi

ng th

e ge

nera

l qua

drat

icV

JKP

p.Z

65

ax2

+ b

x +

c =

0 b

y co

mpl

etin

g th

e sq

uare

a.U

se in

sol

ving

any

type

of

quad

ratic - 23

-

Page 30: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PE

4.So

lutio

n of

fra

ctio

nal e

quat

ions

whi

ch b

ecom

e qu

adra

tic e

quat

ions

upon

cle

arin

g of

den

omin

ator

s

5.So

lutio

n of

rad

ical

equ

atio

ns w

hich

res

ult i

n qu

adra

tic e

quat

ions

upon

squ

arin

g bo

th m

embe

rs

6.So

lutio

n of

ver

bal p

robl

ems

III.

Adv

ance

d T

opic

s in

Qua

drat

ic E

quat

ions

A.

Cha

ract

er o

f na

ture

of

root

s of

a q

uadr

atic

equ

atio

n

1.U

se o

f th

e di

scri

min

ant o

f a

quad

ratic

equ

atio

n

B.

The

sum

and

pro

duct

of

the

root

s of

a q

uadr

atic

equ

atio

n

1.U

se in

che

ckin

g th

e ro

ots

of a

qua

drat

ic e

quat

ion

2.U

se in

for

min

g a

quad

ratic

whe

n th

e ro

ots

are

know

n

IV.

Rev

iew

V.

Tes

t

RE

FER

EN

CE

SC

OD

E 1

PAG

ES

WK

Pp.

269

WK

Pp.

271

WK

Pp.

274

-275

WK

Pp.

407

WK

Pp.

410

Page 31: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

!PA

GE

S

UN

IT V

II

Log

arith

ms

(Tim

e A

llotm

ent 1

0 da

ys)

I.T

he E

xpon

entia

l and

Log

arith

mic

Fun

ctio

ns

A.

Def

initi

ons

DE

Wp.

333-

340

1.T

he e

xpon

entia

l fun

ctio

n an

d its

gra

ph

2.T

he lo

gari

thm

ic f

unct

ion

and

its g

raph

B.

The

exp

onen

tial a

nd lo

gari

thm

ic f

orm

s of

equ

ival

ent s

tate

men

tsW

KP

p.28

9

Prac

tice

in c

onve

rtin

g fo

rms

Rp.

141

Hp.

126-

127

II.

Prop

ertie

s of

Log

arith

ms

A.

Proo

fs o

f th

eore

ms

1.lo

gs M

N =

logs

M +

logs

NR

p.14

2-14

8

MW

KP

p.30

32.

log b

N=

log b

M -

log

bN

Hp.

128-

130

3.lo

gs M

P =

p lo

gs M

III.

Com

mon

Log

arith

ms

A.

The

cha

ract

eris

tic a

nd m

antis

saW

KP

p.29

0-30

3

1.D

efin

ition

sR

p.14

9-15

3H

p.13

1-13

42.

Met

hods

of

dete

rmin

ing

char

acte

rist

ics

- 2

-

Page 32: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

SCO

PER

EFE

RE

NC

ES

CO

DE

iPA

GE

S

B.

Use

of

tabl

es

1.G

iven

N, t

o fi

nd lo

g N

2.G

iven

log

N, t

o fi

nd N

C.

Lin

ear

inte

rpol

atio

n1.

Giv

en N

, to

find

log

N

2.G

iven

log

N, t

o fi

nd N

IV.

Log

arith

mic

Com

puta

tion

A.

App

roxi

mat

ions

and

sig

nifi

cant

fig

ures

B.

Prod

ucts

C.

Quo

tient

s

D.

Roo

ts a

nd p

ower

s

E.

Com

bine

d op

erat

ions

V.

Equ

atio

nsA

.So

lvin

g lo

gari

thm

ic e

quat

ions

B.

Solv

ing

expo

nent

ial e

quat

ions

VI.

Cha

nge

of B

ase

of L

ogar

ithm

s

VII

. Rev

iew

VII

I. T

est

Rp.

153

-159

Hp.

135

-136

ID13

41r

p. 3

43-3

45R

p. 1

59-1

65H

p. 1

37-1

39

WK

Pp.

286

-237

Rp.

165

-175

Hp.

139

-143

WK

Pp.

310

-213

Hp.

144

-i4

8

-25-

Page 33: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

BA

LT

IMO

RE

CO

UN

TY

PU

BL

IC S

CH

OO

LS

Cla

ssif

icat

ion

for

Prod

ucts

and

Fac

tori

ng

IDE

NT

IFIC

AT

ION

OF

PRO

DU

CT

PRO

DU

CT

FAC

TO

RS

IDE

NT

IFIC

AT

ION

OF

FAC

TO

1ED

FO

AM

Cas

e I A.

Poly

nom

ials

with

a c

omm

onm

onom

ial f

acto

r

B.

Poly

nom

ials

with

a c

omm

onbi

nom

ial f

acto

r

1. 3

(x+

y)

22.

3d(

3d -

4d+

1)

3. 5

a2nn

2b(

4-a

b-3b

)1 4x

(x2+

8xy-

2y2)

1.(x

-y)

(a+

b)2.

(a-b

) (n

+3)

(a-2

b) (

2x-3

y-5z

)

Cas

e I

A.

The

pro

duct

of

am

onom

ial a

nd a

poly

nom

ial

B.

The

pro

duct

of

two

poly

nom

ials

1. 3

x+3y

<>

2.<

9d3

-12d

+3d

>

2n3.

20a

b-5a

3n 2

2n 3

b -1

5ab

--->

<2

21

13

4.4x

+2x

y--

2-xy

<>

1.<

ax-a

y+bx

-by

>

2. n

a-nb

-3b+

3a <

>

3. 2

ax-4

bx-3

ay+

6by-

5az+

10bz

<-3

.3.

Cas

e II Pe

rfec

t squ

are

trin

omia

l

22

21.

(x-y

)

2. (

3x+

2y)2

3.(

2 xb

-6y2

)2

24.

(a-

b+6c

)

Cas

e II

Squa

re o

f a

bino

mia

l1.

x -

2xy+

y <

>

2.9x

2 +

121x

y+4y

2<

>

93.

TT

x2b

-'")c

by2

+36

y4

22

4. (

a-b)

+I2

c(a-

b)+

36c

<--

>

Page 34: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

...

IDE

NT

IFIC

AT

ION

OF

PRO

DU

CT

PRO

DU

CT

FAC

TO

RS

IDE

NT

IFIC

AT

ION

,O

FFA

C T

OR

ED

FO

RM

Cas

e II

ID

iffe

renc

e of

two

squa

res

22

>1.

(x+

y) (

x-y)

2. (

5a+

3b)(

5a-3

b)

3.(x

2+

y2)(

x+y)

(x-y

)

22

4.(x

4 +y4 )(

,x +

y )(

x,+

y)(x

7y)

xx

5. (

6m +

5ny)(

6m -

5ny

)

6. (

9x-9

y+11

z)(9

x-9y

-11z

)

Cas

e II

I

Prod

uct o

f th

e su

man

d di

ffer

ence

of

the

sam

e tw

o te

rms

1. x

-y

<

22

>2.

25a

-9b

<

3.x4

-y4

4.x8

-y8

<__

__.>

2x2y

>5.

36m

-25

n<

22

26.

81x

-16

2xy+

81y

-121

z <

-->

Cas

e IV Gen

eral

trin

omia

l2

>1.

(x+

3)(x

+2)

2. (

x-3)

(x+

2)

3. (

x-2)

(x-4

)1

4. (

3x-4

)(2x

+5)

xy

xy

5. (

2a -

3b )

(5a

+2b

y)

Cas

e IV

Prod

uct o

f tw

odi

ffer

ent b

inom

ials

1. x

+5x

+6

<

2.x2

-x-6

<).

23.

x -

6x+

8 <

>

6x2+

7x-2

04.

<

5. 1

0a2x

-lla

xby

-6b

--->

Page 35: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

IDE

NT

IFIC

AT

ION

OF

PRO

DU

CT

PRO

DU

CT

FAC

TO

RS

IDE

NT

IFIC

AT

ION

OF

FAC

TO

R E

D F

OR

M

Cas

e V

Sum

or

diff

eren

ceor

two

cube

s

33

1.(a

+b)

(a2-

ab+

b2)

zz

2.(a

-b)

(a +

ab +

b )

3.(.

3x-

4y)(

. 09x

2 +

1.2x

y+16

y 2)

11

12

11

24.

(a+

b)(a

- a

b+b

25

410

25)

Cas

e V

The

pro

duct

of

abi

nom

ial a

nd a

trin

omia

l

1. a

+b

<>

33

2. a

-b

<>

33

3..0

27x

-64y

<>

13

13

4.-.

a+

---

b <

-->

idi,

125

Cas

e V

I

Poly

nom

ials

fact

orab

le b

y th

eFa

ctor

The

orem

(Use

syn

thet

icdi

visi

on):

x3+

x2+

x +

6

Tes

ting

x +

1 a

s a

fact

or-

111

+1

+1

+6

----

- 1

0 -

1is

fact

or

Cas

e 1'

I

The

pro

duct

of

two

poly

nom

ials

11

+ 0

+H

+5

rem

aind

er

Tes

ting

x -

1 as

a f

acto

r+

111

+ 1

+ 1

+ 6

> ..

x+

1no

t a

>is

fact

or+

1 +

Z +

31

2 +

311

+9

+re

mai

nder

Tes

ting

x +

2 a

s a

fact

or-

211

+1

+1

+6

..

x-1

not a

>is

fact

or-

2 +

2 -

6L

.1

+ 3

11 0

-re

mai

nder

.. x

+2

aT

he c

ompl

ete

fact

ors

are:

1(x

+2)

(x2

-x+

3)

Page 36: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

IDE

NT

IFIC

AT

ION

OF

PRO

DU

CT

PRO

DU

CT

FAC

TO

RS

IDE

NT

IFIC

AT

ION

OF

FAC

TO

RE

D F

OR

M

Cas

e V

II

Sum

or

diff

eren

ceof

like

pow

ers

nn

(a+

b )

55

43

2 2

34

1, (

x-y)

(x +

x y+

x y

+xy

+y

)6

54

23

3.

(x+

y)(x

-x

y+x

y -x

y2

5+

x y

-xy

+y6

)

22

86

24

42

68

3.(x

+y

)(x

-x y

+x

y -x

y +

y )

4. N

ot f

acto

rabl

e by

rea

lnu

mbe

rs.

Can

not b

ere

pres

ente

d as

odd

pow

ers.

5. F

acto

rabl

e by

com

plex

num

bers

.

x4-

(-Y

4) =

(x2

)2-

(Y2i

)2 =

22

22

(x +

y i,

,x /

x -y

i)

Cas

e -V

IIPr

oduc

t of

two

poly

nom

ials

1. x

-y<

>

2.x7

+y7

<

1010

2 5

23.

x +

y=

(x )

+(y

)

4.<

>

5<

--->

x4+

y4

5.

>

x4-1

-y4

4

Page 37: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

BALTIMORE COUNTY PUBLIC SCHOOLS

APPENDIX II

RE IEW OF ELEMENTARY SET CONCEPTS

by

Vincent BrantSupervisor of Senior High School Mathematics

July 1965

Page 38: DOCUMENT RESUME INSTITUTION Jan 67 95p. · REFERENCES SCOPE CODE I PAGES 7. Associative property of addition For alla, b, cEN, (a+b)+c=a+(b+c) 8. Associative property of multiplication

REVIEW OF ELEMENTARY SET CONCEPTS

1. Member Each object in a set is called a member (or element)of the set.

2. The symbol " " means "belongs to" or "is a memberof" or "is an element of. "

3. Set Notation (1) The phrase methodExample: the set of the (names of the) vertices of

AABC

(2) The roster (listing) methodExample: Using the same set as in (1) above:

{ A, B, C }

(3) The rule methodExample: Using the same set as in (1) and (2) above:

{ x I x is a vertex of ABC }This is read as "the set of all x such that x is avertex of triangle ABC.il

4. Infinite set A set which is unending is called an infinite set.

5. Finite set A set in which the members can be listed and the listingterminates is called a finite set.

6. The empty set The set which contains no members is called the emptyset or the null set.The symbol for the empty set is "clo"

7. Equal sets Two sets are equal if and only if they have the samemember s.

8. Subset Set A is a subset of set B (denoted ttACB II ) if and onlyif each member of A is also a member of B.

Every set is a subset of itself; that is, if A is a set,then AC A.

The empty set is a subset of every set; that is, if A isa set, then ci)C A.

Set A = set B if and only if AC B and BC A.

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9. Disjoint sets

10. Inter section

11. Union

Set A is a proper subset of set B if arA only if thereis at least one member of B which is me. a member of A.Examples: Let A = 1, 3, 4}

B = { 1, 2, 3, 4, 5 }C = { 4D = { 2, 5, 4, 3, 1

E = { 3, 5, 6}

Two

Then, AC B ; CC BAC D and DC A; hence A = DA and C are proper subsets of BACA; BC B; CC C ; DC D ; EC E4 is a subset of every set A, B, C, D, E,

But Eq B ( E is not a subset of B)

sets which have no members in common are calleddisjoint sets.

The intersection (denoted by "n II) of two sets A and Bis the set consisting of all the members common to Aand B.

Symbolically, A nB ={ x x -G.' A and x L B}If A and B are disjoint sets, then An B =If two sets are said to intersect (verb form), then thcirintersection has at least one member; that is, their in--tersection is non-empty.

Examples: Let A = { 1, 2, 3, 4, 5 }B = { 3, 4, 6, 7, }

C = { 1, 3, 4, 8}D = { 10, 11, 12}

Then, Bn C = { 3, 4 }An c = { 1, 3, 4 }Bn D =

The union (denoted by "U " ) of two sets A and B is theset consisting of all the members which are in at leastone of the two given sets A and B.

Symbolically, AUB={x x E A or x E B}Observe that the connective "or" in mathematics is usedin the inclusive sense; that is, x is a member of A or xis a member of B or x is a member of both A and B.

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12. CartesianProduct

13. Relation

14. Domain of arelation

15. Range of arelation

Examples: Let A = 1, 2, 3, 4, 5 }B = { 3, 4, 6, 7}C = { 1, 3, 4, 8 }

Then, AU B = { 1, 2, 3, 4, 5, 6, 7BU C = { 1, 3, 4, 6, 7, 8 }

}

The Cartesian Product of two sets A and B (not necessarilydifferent) is the set of all ordered pairs in which the fir stcoordinate belongs to A and the second coordinate belongsto B.

The Cartesian Product of A and B is denoted as:

A X B (read "A cross B")Example: Let A = { a, b, c, } and B = { 1, 2 }

Then, A X B = { (a, 1), (b, 1), (c, 1 ), (a, 2), (b, 2),(c, 2) )

A relation is a set of ordered pairs.or

A relation from A to B is a subset of A X B.

Example: Let A = { a, b, c }; let B = { 1, 2Some relations from A to B are:

Relation R = (a, 1 ) , (b, 2), (c, 1) }Relation Q = { (a, 2) }

Relation T = { (a, 1), (b, 1), (c, 1) }

Of course, A X B is also a relation.Also, the empty set, 4), is a relation.

The domain of a relation is the set of all the first coor-dinates of the ordered pairs of the relation.

The range of a relation is the set of all the second coor-dinates of the ordered pairs of the nitlation.

Example: Let Relation T = { (a, 2), (b, 3), (a, 5), (c, 2) }

Then, Domain of T = { a, b, c }Range of T =

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16. Function : A function from A to B is a special kind of relation such thatfor each first coordinate there is one and only one secondcoordinate.

Stated differently, no two ordered pairs of a function may havethe same first coordinate. Hence, the first coordinates in theordered pairs of a function must be differe,,t. However, thesecond coordinate may be the same.

Examples: D = { (1, a!, (2, b), (3, c), } is a function.E = r (1, a), (2, b), (1, c) is not a function;

it is a relation.K { (1, a), (2, a), (3, a) } is a function-- -

in a particular, a constant function.

Note: Domain of K = { 1, 2, 3 }Range of K = { a }

I = { (x, y) I y =x} is a function.

Note: Domain of I is the set of real numbers.Range of I is the set of real numbers.

17. Tests for afunction (a) The ordered pair test

A relation is a function provided every first coordinateis different.

(b) The vertical line testA relation is a function provided every vertical lineintersects the graph of the relation in exactly one point.If at least one vertical line intersects the graph in morethan one point, then the graph does not represent afunction, but a relation.

18. Comparison off and f(x) In the function, f = { (x, y) I y = 5x }

(a) the function f is the entire set of ordered pairs.

(b) f(x) is not the function.

(c) "f(x)", "5x" are different names for the secondcoordinate. Thus the function f might be written indifferent forms, as:

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f = { (x, Y.) I Y= 5x

orf = { (x, f(x) ) f(x) = 5x }

orf = { (x, 5x) x is a real number }

(d) The function is not "y = 5x".Instead, "y = 5x" is a sentence which definesthe function. This sentence assigns to each realnumber used as first coordinate another realnumber 5 times as large for its correspondingsecond coordinate.

"f(x)" is read "f at x" or "f of x" or"the value of the function f at x".

The function, f = (x, y) y = 5x } is read:

the function f defined by y = 5x

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HOMEWORK ASSIGNMENT

Study assignment: Study pages 1 - 5 in this Review of Elementary SetConcepts

Written assignment:

1. Construct the cartesian product of A x B whereA = { r, t, k } and B = { 6, 16, 1526 }

2. Construct the cartesian product of R x S whereR = 0, 2, 4, 6 } and S = { 1, 3, 5 }

3. Construct the cartesian product of E X D whereD = { a } and E = { 1 }

Directions for Examples 4 - 13:

Each of the following relations is a relation from R to R where R isthe set of real numbers. In each example, complete the following parts:

a. Draw the graph of the relation.b. State whether the relation is a function.c. State the domain of the relation.d. State the range of the relation.

4. R = { (a, y) I y = x }15. S = { (x, S(x) ) S(x) =2

x }

6. T = { (x, y) j y > 5x }

7. U = { (x,y) Y =x2 }

8. V = { (x, V(x) ) V(x) = 2x - 5

9. W { (x, y) I y = x3 }

10. X = { (x,y) x2 + y2 = 25 }

11. Y = { (x, y) I xy = 12 }

12. G = { (x, G(x) ) G(x) = 5 }

13. H { (x, y) x = 3 }

}

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Trigonometric Functions

Let P with coordinates (x, y) be a point on the terminal side of an angle withmeasure 0 in standard position. Let r = \Ix 4 + y2 represent distance of Pfrom the origin. /I\

1. The Sine Function O\l/

Sine (or sin) = { (0, sine) I sin 0

Observe that:(1) 0 is a number----a number that measures the magnitude of the angle

in degrees or radians.

(2) sin 0 is a number----the number which is assigned as the secondcoordinate by the defining sentence

sin 0= Yr(3) sin 0 is NOT the function.

sin 0 is the name of the second coordinate in the sine function.sin 0 is the VALUE of the sine function at 0.

(4) Each ordered pair of the sine function has real numbers for the firstand second coordinates.

These ideas apply as well to the remaining trigonometric functions.

2. The Cosine Function

cosine (or cos) = { (0, cos 0) 1 cos 0 = r

3. The Tangent Functiontangent (or tan) = { (0, tan 0) I tan 0 = Y }

4. The Cotangent I unction

cotangent (or cot) = { (0, cot 0) I cot 0 xy

5. The Secant Function

secant (or sec) = { (0, sec 0) I sec 0 = }

o. The Cosecant Functioncosecant (or csc) = { (0, csc 0) 1 csc 0 =

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r

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APPENDIX ISPZ,CIA.L RIGHT TRIANGLES

Certain right triangles appear frequently in problems of the physicalworld such as engineering and in problems of related mathematics coursessuch as trigonometry. These special right triangles may be classified intosets of triangles, each set containing only triangles that are similar to oneanother. You should be able to recognize the special right triangles discussedin this unit, to understand the relationships that exist for each set, and toapply these relationships in the solution of problems.

I. The 3, 4, 5 right triangles.Since 32 + 42 = 52, the converse of the Pythagorean Theorem tells

us that a triangle whose sides have measures 3, 4, 5 is a right triangle. Ina similar manner, we can conclude that if any positive number k is used asa constant of proportionality, then a triangle whose sides measure 3k, 4k,5k is a right triangle. For example, any triangle whose sides measure 6,8, 10 or 150, 200, 250 is a member of this set of right triangles.

Example 1. Find the length of the hypotenuse of a right triangleif the length of the two legs of the triangle are 18 and 24.

You should note that the triangle is a 3, 4, 5 right trianglewith 6 as the constant of proportionality since 18 = 6 - 4.Therefore, the length of the hypotenuse of the triangle is6 5 or 30.Example 2. Triangle ABC is a right triangle with L C as theright angle. AB = 75 and BC = 45. Find the length of AC.

Since the length of AB is 15 5 and the length of BC is15 3, the triangle is a 3, 4, 5 triangle with 15 as theconstant of proportionality. Therefore, AC must equal15 4 or 60.

II. The 5, 12, 13 right triangles.Explain why a triangle whose sides have measures of 5, 12, 13 is a

right angle. Explain why a triangle whose sides have measures of 5k, 12k,and 13k is a right triangle if k is some positive number. Explain why allthese triangles are similar. Give other examples of three numbers whichare the respective measures of the sides of triangles in this set of similarright triangles.

Example 1. Find the length of the hypotenuse of a right triangle ifthe lengths of the two legs of the triangle are 15 and 36.

You should note that the triangle is a 5, 12, 13 right trianglewith 3 as the constant of proportionality since 15 = 3 5 and36 = 3 12. Therefore, the length of the hypotenuse of the righttriangle is 3 13 or 39.

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Example 2. Triangle ABC is a right triangle with Z C as the right angle.If the hypotenuse of the triangle has a measure of 78 and one of the legsof the triangle has a measure of 72, find the measure of the other leg ofthe triangle.

Since 78 = 6 13 and 72 = 6 12, the triangle is a 5, 12, 13 trianglewith 6 as the constant of .proportionality. Therefore, the measure of theother leg is 6 5 or 30.

III. The 30, 60, 90 triangles.

Unlike the sets of triangles in (I) and (II), the triangles in this set areusually designated by measures of angles rather than lengths of sides. Supposethat in AABC, m L C = 90, B = 60, m,2 A = 30. We know by Theorem 5 7

on page 202 of your text, that the length of BC is one-half the length of AB.If we let m (BC) = a, then m (AB) = c = 2a, and by the

a2 + b2(2a)

2

a + b2 4a2

b2 = 3a2

b = a N77

Pythagorean Theorem

Thus we see that if AABC is a 30, 60, 90 triangle (a, b, c) p (1, NT-3", 2).

We can also prove the converse of this statement. If 6A'B'C' is a tri-angle with (VC', C'A', A'B') p (1, N,137 2), then AA'B'C' is a 30, 60, 90 tri-angle.

We know that AATB'C' is similar to A ABC by the SSS Similarity Theorem.Therefore, rn L Al = 30, m L B' = 60, and m L C' = 90 because correspondingangles of similar triangles are equal in measure.

The above discussion can be summarized in the follbwing-thearem_andcorollaries:

Theorem A. Triangle ABC is a right triangle withm Z A = 3-a, mL B tr. 60, m Z C = 90 if and only if(a, b, c) p (1, NTT; 2).

Corollary 1. In a right triangle whose acute angles havemeasures of 30 and 60, the shorter leg is one-half thehypotenuse. (s30 = )

2

Corollary 2. In a right triangle whose acute angles havemeasures of 30 and 60, the longer leg is equa142 one-halfthe hypotenuse multiplied by 3. (s

60= h Ni 3 )

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Example 1. Find the length of the altitude of an equilateral triangle if thelength of one of the sides is 8.

The altitude of an equilateral triangle bisects thevertex angle making a 30, 60, 90 triangle.

(4, x, 8) P (1, a 3, 2).The constant of proportionality is 4.Therefore, x = 4 'Tr

The problem can also be solved by usingCorollary 2-

660 h=

s60 = 8 .N132

s60 4 N1-37

Example 2. Find the measures of the sides of a 30, 60, 90 triangle ifthe length of the longer leg of the triangle is 10.

(a, 10, c.) p (1, 47, 2).10iThe constant of proportionality is

10 2 10, orTherefore, a = and c =NTT- 3

0 4-3and c = 20a =3 3

IV. The 45, 45, 90 triangles.

10

Since the triangles in this set have two angles that are equal in measure,they are sometimes called isosceles right triangles. We can prove that thelengths of the sides of any isosceles right triangle are preporticizial to (1, 1, NFIT.

In 'ABC. m L C= 90, m L A=mLB= 45. If we let the 5length of AC = a, then the length of BC = a. Why?By the Pythagorean Theorem c a

c2= a2 + a2

c2 = 2a2

c = a NT-27

45a

Therefore, we see that if &ABC is a 45, 45, 90 triangle, (a, a, c) p (1, 1, 47),

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We shall now prove the converse of this statement. If AA'B'C' is a tri-angle with (al, b', c') p (1, 1, Nr2T, then ..A.A113'C' is a 45, 45, 90 triangle.

We know that AA'13IC' is similar to A ABC by SSS Similarity Theorem.Therefore, m L C = 90, m L A = 45, m L B = 45 because corresponding angles ofsimilar triangles have equal measure.

The above discussion can be summarized in the following theorem andcorollary.

Theorem B. Triangle ABC is a right_triangle with m L A = m L B = 45and m L C = 90 if and only if (a, b, c) P (1, 1, r).Corollary. In an isosceles right triangle, either leg of the tri le isequal to one-half the hypotenuse multiplied by NTT (s = h

45

Example 1. Find the length of the hypotenuse of a right isoscelesif each leg of the triangle has a measure of 6.

(6, 6, c) p (1, 1, NraT

The constant of proportionality is 6.Therefore, c = 6 Nrit

Example 2. Find the length of each leg of an isoscelesright triangle if the length of the hypotenuse is 5.

(a, a, 5) )7) (1, 1, 4-2-1-

The constant of proportionality is 5- .Nr-2-

Therefore, a = 5- , orNTT

5 NT-2--

2

The problem can also be solved by using the corollary.h545 =

2

1. In each of theright triangleto the 3, 4, 5the 1, 1, 47-

5 4-2-s45 =2

Problem Set

triangle

a

following exercises, the lengths of a leg and the hypotenuse of aare given. Which of the measures belong to a triangle similartriangle? to the 5, 12, 13 triangle? to the 1, 437 2 triangle? totriangle?

(a) 6, 10 (e) 3, 6 (i) 6, 6 5

(b) 12, 15 (f) 3, 2 4-3 (j) 24, 26(c) 24, 25 (g) 8, 10 (k) 3 42, 5

(d) 15, 39 (h) 1. 5, .2. 5 (1) N1-77 2

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2. In each part of Problem 1, find the length of the side which is not given.

3. Complete the table for the right isosceles triangle in the diagram.B

a

C a

a11=1131

(a) 10(b) 5

(c) 9(d) 6

(e) 3

A (f)

4. Complete the table for the 30-60-90 triangle in the diagram.

a b

(a) 10(b) 5(c)(d)(e)

30 A (I)

189\1-3

2012 NT3

b

5. In each of the following exercises the length of one segment in the adjacentplane figure is given. Find the lengths of the remaining segments.

60(f)

m(AB) m(BC) m(CD) m(AD) m(DB) m(AC)

(a) 8(b) 2(c) 4 N/3(d)(e)

9

0813

6. Use the three corollaries in this unit to find the length of AB and BC in each ofthe following plane figures. You should do all work mentally and write onlythe answer.

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7. In the diagram, BC I AC and mLA = 30.

(a) If m(AB) = 6, find m(AC).(b) If m(AB) = 4 Ni 3, find m(AC).(c) Li m(AC) = 9, find m(AB).(d) If m(AC) = 6 Ni-3j find m(AB).

8. Repeat problem 7 if mLA = 60.

9. In the diagram, AABC is an equilateral trianglewhich is inclined at an angle to plane K.The measure of the dihedral angle C-AB-X is 60;CX is perpendicular to plane K; CD is per-pendicular to AB. Find the measure of eachof the following segments if the measure ofAB = 6.

(a) AC (d) CX(b) BC (e) AX(c) CD (f) BX

10. Repeat problem 9 if the measureof the dihedral angle is 30; (b) 45.

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RELATIONS, FUNCTIONS and GRAPHS

byVincent Brant

Supervisor of Senior High School MathematicsBoard of Education of Baltimore County

Towson 4, Maryland

Reproduction of this unit in whole or in part is expressly forbidden withoutthe permission of the author.

5')

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ERRATA SHEET ON THE UNIT, RELATIONS, FUNCTIONS, AND GRAPHS

1. Exercises labeling incorrectly:a. page 18: Exercise D should be Exercise Eb. page 20: Exercise E should be Exercise Fc. page 26: Exercise F should be Exercise Gd. page 29: Exercise G should be Exercise 1-1e. page 31: Exercise 1-1 should be Exercise Ii. paje 33: Exercise I should be Exercise Jg. page 35: Exercise I should be Exercise Kh. page 37: Exercise J should be Exercise Li. page 40: Exercise K should be Exercise M

2. page 4: Section D. Include also the following:

S(6, 6): 6 is greater than 6S(2, 2): 2 is greater than 2

3. page 9: Exercise B, 1 a. x is greater than 5 and x E.,{1,2,3, ..., 7}

4. page 10: Example 3: A X A, second column, first row should be (s, r)5. page 22: Section X, A, 3, (c): Line 22

All points not circled6. page 23, line 10, Section B, 1 If U = {-2, -1,0, + 1, + 2},7. page 26, line 1 Example 1: In problems, a - j,8. page 32, line 8 Section F. Sentences involving equalities and inequalities9. page 33, line 12, Exercise J, Directions: (1) Graph the relations in U if

U = {integers}10. page 34, Example 1 (b): Range: {0,1,4, 9... , nZ, }

11. page 37, line 1-9: ExampleGiven the function G defined by {(x, y) y = 2x2} for the Set U

{-8, -7 ..... - 1,0, +1, +2,..., + 8}

a. Describe the function Gb. Find G( + 2)c. Find G( -1)

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ERRATA SHEET (continued)

Solution:

a. G = {x, y) I y = 2x2

G {(-2, -8), (-1, + 2), (0, 0), (+1, +2), (+2, +8)}

b. (+2) = +8

c. G(-1) = +2)

12. Page 38, ExamEle 11

f(x + h) = x2 + 2xh +112 + 4x + 4h - 1

52

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Relations, Functions, and Graphs

I. Introduction

We use the word "relation" in our everyday conversation to indicatethat some association exists between two persons or objects under dis-cussion. It is also possible that some association exists among three ormore objects in our conversation. Such associations in normal usage areusually non-mathematical as can be seen from the following illustrations:

Tom is more handsome than George.Mary loves Jim.Panama has warmer weather than Canada.Mary is the sister of Larry and Jim.St. Louis is located between Los Angeles and New York

City.

Such predicates as "is more handsome than, " "loves, " "has warmerweather than, " "is the sister of, " "is located between, " are used torelate the objects under discussion. Thus, we convey the idea ofassociation or relation between two objects or among three or moreobjects in our normal conversation. In mathematics, however, weattempt to be more precise about the language which we use in describingrelations among objects or nersons. The next sections will present amore precise description and definition of relations as used in mathe-matics.

II. The use of sentences in mathematics

Just as the grammarian uses sentences in English to communicateideas, so does the mathematician use sentences in mathematics to con-vey mathematical ideas. In mathematics, however, a sentence is adeclarative statement which can be judged true or false, but not both.For example, the for_ _wing sentences are true:

Albany is located in the state of New York.8 is greater than 3.A rectangle is a parallelogram.December 25 is called Christmas Day in the United

States.Light is faster than sound.

In contrast,the following sentences are false:

7 is less than 5.Zero is a divisor of seven.Black colol..-6 reflect more heat than white.

In mathematics many sentences contain a variable which is a symbolthan can be replaced from some given set under discussion. These

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sentences containing a variable or variables are often called "opensentences. " When the symbol is replaced by any symbol in the set, thesentence must be capable of being judged true or false but not both. Suchsentences may use symbols as "x" or "y" for variables, in which casethe sentences can be denoted symbolicalir as 5(x) or S(y). In cases wherethere are two symbols (or more), such a "x" and "y", then the symbolicnotation of the sentence is S(x, y). In all cases, replacements for thesesymbols from the specific set must make the sentence true or false, butnot both. The following examples illustrate such sentences containing avariable or variables:

S(x) : 24 is a multiple of x.5(x) : 6 is greater than x.5(y) : y is greater than 7.5(y) : Torn is taller than y.S(x, y) : x is less than y.

III. Truth values of sentences and relations

In normal usage we often use sentences to imply that some associa-tion exists between two objects, or in other words, it is implied that therelation between the objects is true. It is possible, however, for a sen-tence to be classified as false because the phrase used to describe therelation between two objects is not true for the objects selected. Thefollowing sentences are given to illustrate that the choice of objects usedin connection with the phrase describing the relation results in a falsestatement.

Mary loves Jim (and we know that she really doesn't).Segment AB is perpendicular to segment AB.6 is greater than 8.

However, for different objects, the modified sentences are true. Forexample,

Mary loves Tom (and she really does)Segment AB is perpendicular to segment CD (when these

lines are given as forming right angles)8 is greater than 6.

Since these sentences are true, we say that the elation exists betweenthese objects, or that the relation holds for the selected objects. In thosecases where the sentences are judged as false, we state that the relationdoes not hold for the objects selected. The basic concept to be stressedis that the relation among objects exists when and only when the sentencedescribing the relation is true for the objects selected.

IV. Binary relations

In using sentences to describe relations among objects or persons,it should be emphasized that these objects are selected from specific set

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under discussion; for example, the set of males in Maryland, the set ofnatural numbers, the set of triangles, etc. Many relations in mathe-matics deal with pairs of objects from a given set. For example:

2 is less than 3 (using the set of natural numbers).-105 is divisible by 5 (using the set of integers).line a is a parallel to line b (using the set of lines in a plane).

When we consider relations between two objects from a given set, werefer to these relations as binary relations. However, it is possible toconsider relations among three objects; such as,

Point A lies between point B and point C

Thus, this phrase "lies between" deals with three points. Whenever threemembers of a set are used in a relation we called this a ternary relation.However, we shall restrict our discussion in this unit to binary relations.

V. Procedure in investigating relations

A. Test question for determining true or false sentecnes

Binary relations express a method whereby some property de-scribed by the sentence can be used to show which pairs of objectschosen from the set make the sentence true in regard to that property,and which pairs do not make the sentence true. In order to sort outthose pairs which. make the sentence true from those pair= -7-

make the sentence false, our first step must be to con ' allpossible pairs which can be formed from the gig r set. Jur secondstep must be to separate those pairs making the sentence true andthose pairs making the sentence false by asking the following testquestion of each and every pair which can be formed from the giventest:

"Does this pair make the sentence true?"

All those pairs which receive a "yes" answer are in the relation::All those pairs which receive a "no" answer are not in the relation.

B. Necessity of clearly defined sentences

If a sentence which is used to describe a relation is so statedthat there is ambiguity or doubt in our answer of "yes" or "no" to ourtest question, then we do not have a precise mathematical descriptionfor our relation, and cannot proceed until the defining sentence ismodified. It follows from this that sentences describing relationsmust be meaningful, should not contain nonsense statements, con-tradictory statements or statements which do not apply.

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C. Abbreviation of defining sentence

When two objects such as a and b from a given set are used ina sentence containing a predicate describing the relation (denoted byR), the resulting sentence may be symbolized as:

a R b.

This may be interpreted to read "a is in the R relation to b. " Sucha sentence or its abbreviation must be judged true or false dependingupon the choice of the objects. If a pair makes the sentence true,that pair is in the relation. It must not be assumed that a R b meansthat the pair (a, b) makes the sentence true automatically. Theabbreviation a R b simply means that it represents a sentence whosetruth or falsity must be judged for the selected pairs.

D. Order of the elements in a pair

Our aim in achieving precise mathematical statements causes )sto consider the following sentence, S (x, y) and the replacements forx and y in (x, y), from some set of natural numbers.

S(x, y) : x is greater than y.N = {2, 6}

S(6, 2) : 6 is greater than 2S(2, 6) : 2 is greater than 6.

It should be clear that the pair (6, 2) makes the sentence true andtherefore belongs to the relation. On the other hand, the pair,(2, 6), make3 the sentence false. We note further that the reasonfor this is the order of the two objects in the discussion. It istherefore necessary to consider the order of the objects in a pairin determining whether the pair belongs to the relation or does notbelong to the relation.

E. Summary of the features of binary relations

I. Binary relations deal with the associations between two objects.

2. Pairs of objects selected from a specific set which make thesentence describing a relation true belong to the relation. Thosepairs which make the sentence describing the relation false donot belong to the relation.

3. In order for sentences to define relations, they must avoid non-sense or contradictory statements for the objects under dis-cus sion.

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4. The order of the elements in the pairs of objects selected froma given set is important.

5. , A relation must be well-defined on a set. This means that thesentence describing the relations is capable of being judged trueor false, but not both when suitable replacements are made in thegiven sentence.

Exercise A

I. Determine whether the following sentences are true or false.

a. Air is heavier than water.b. Water is heavier than air.

311c. 2 is less than 3.d. 3 is less than 2.e. 2 is less than 2.f. 2 is less than or equal to 2.g. Segment a is parallel to segment b.h. Segment b is parallel to segment a.i. Segment a is longer than segment b.j. Segment b is longer than segment a.k. Triangle ABC triangle DEF1. Triangle GHI triangle QRS

m. Triangle GHI triangle QRSn. Line a I line ao. Line a I line bp. Line b I line a

a

A

b5"

It

ex.

4"

ex. n, o, p

H Q 61°2"

ex. 1, m

2. Are the following relations well-defined on the set of ordered pairsformed from the given set. Remember that order is important inrelations.

a. a is parallel to b where a, b N(set of natural numbers)b. a parallel to b where a, b are elern.ents of the set of lines in a planec. is a multiple of b where a, b E,N (set of natural numers)

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d. a is heavier than b where a, b B (set of books in your schoollibrary.

e. A lives in the same house as b where a, b P (set of planets of thesolar system)

VI. Relations and setsA. The link between relations and sets

1. So far we have attempted to show that a relation between pairsof elements from a given set simply means that there arepairs of objects which make the sentence describing therelation true. Our next objective is to show that a binaryrelation is a set of ordered pairs. In order to do this, letus review some basic concepts of elementary set theory.

One of the principle notions of sets is the intuitive principleof set construction. By agreement, a set is defined by asentence S(x) when the replacements for x in the sentencefrom some given set make that sentence true. Therefore,if some object, m from a given set A, makes the definingsentence true when it replaces the x in S(x), then m is amember of the set satisfying the conditions of the sentence.If other objects also make the sentence true, they will alsobe members of the same set as m. It is for this reason that

is called the truth set. Furthermore, S c) is often called thedefining sentence of {x S(x) }. The following example isgiven to illustrate the above concepts.

Given: x E, N; N = {1, 2, 3, 4, 5, 6, 7}

Defining sentence: S(x) ; x is greater thar 5

Therefore, { x S (x) = {6, 7}

Thus, m {x S (x) } if S (m) is true. It should be noted thateach truth set will be a subset of the given set. In addition, when noelements of the given set satisfies the defining sentence, the resultini;set is the empty set which is also a subset of the given set.Summarizing, we can say that the conditions implied in 5(x) on agiven set result in a set.

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2. Let us continue the investigation of truth sets when we areconcerned with sentences where the replacement of twoobjects from a given set is required to determine the truthor falsity of the sentence.

Given: N {1, 2, 3 }; x, y E N

Defining sentence: S(x, y) : x is greater than y.

Replacing x and y with the elements of set N, we note thefollowing:

S(x, y) : x is greater than yS(1, 1) : 1 is greater than 1 falseS(1, 2) : 1 is greater than 2 falseS(1, 3) : 1 is greater than 3 false3(2, 1) : 2 is greater than 1 trueS(2, 2) : 2 is greater than 2 falseS(2, 3) 2 is greater than 3 falseS(3, 1) : 3 is greater than 1 trueS(3, 2) : 3 is greater than 2 trueS(3, 3) : 3 is greater than 3 false

Thus {(x, y) S(x,y)} = {(2, 1), (3, 1), (3, 2) }.

Observe that the pairs for which S(x, y) is true form a set,-a truth set. While this set is not a wabset of the given set N,we shall see in the next section that it is a subset of the setcontaining all possible pairs which can be formed from thegiven set. The main point of the above illustration is to showthat a binary relation is a set of ordered pairs.

titre should be careful not to infer from the above statementthat sets can only be formed by the use of defining sentences.This is not true since a perfectly good set might beCl,{ cow, red}. In this case, the only feature which they havein common is that they belong to the same set. In ourdiscussion of mathematical sentences, however, we shouldrealize that the resulting set is a truth set; that is, a setof objects which make a sentence such as S(x) or S(x, y) trueupon proper replacement of x, or x and y.

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B.. The elements of a truth set

It should be noted that in {x I S (x)}, the elements of theresulting set were single objects. In the above illustration of{(x, y) I S(x, y) }, the elements of the resulting truth set were

ordered paits.

Let us consider another example to emphasize the point that eachof the ordered pairs in a truth set should be considered as a singleelement of that set. For example, let us toss a penny and a diesimultaneously, and describe the result of each toss by an orderedpair in which the H (heads) or T (tails) of the tossed penny iswritten as the first coordinate of the pair, and the number of thedie is written as the second coordinate of the pair. Thus theconditions of the set may be described as

Q = {(x,y) I x is an H or T of the penny, and y is the numberof the die}

Then,

Q = {(H, 1), (H, 2), (H, 3), (H, 4), (H, 5), (H, 6),

(T, 1), (T, 2), (T, 3), (T, 4), (T, 5), (T, 61}

Note that one element of the set is (H, 1). Another is (T, 5). Eachpair is considered collectively as a single member of the set justas the word "pair" is considered as a single word. Thus, eachelement of the set actually is the result of a single toss of thepenny and the die.

Another example might be given with ordered triples. For example,let us toss three different colored dice (red, green, white) into theair. The result of the toss could be indicated by writing thenumber of the red die first, the number of the green die second,and the number of the white die third, such as:

S ={(1, 1 , 1 ) , ( 1 , 1 , 2 ) , (1,1, 3), ..., (2,4,5), (2, 4, 6), , (6, 6, 6)}

Observe that each element of the set is the result of a single tossexpressed by three symbols in a certain order.

This idea could be extended to order quadrv,ples, quintuples, etc.For n items we use the term "n-tuples. " This idea has greatapplication in the study of vectors. However, we shall dealprimarily with ordered pairs since our emphasis in this unit ison binary relations or relations between two objects. We nowproceed to consider a more precise statement of the formation ofthese ordered pairs--the cartesian product of two sets.

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Exercise B

1. Find the truth set in each of the following sentences:

a. S(x) : is greater than 5, and x {1, 2, 3, , 7}

b. S(x) x is equal to or greater than 5, and x E {1, 2, 3, ... , 7}

c. S(x). : x is a divisor of 10, and x {1, 2, 3, ... 10}

d. S(x), x is a multiple of 6, and x 6 {1, 2, 3, , 48}

e. S(x) : 5 is greater than x, and x e {I, 2, 3, 4}1. S(x) : x2 = 2x, and x E {0, 1, 2, 3, 4, 5}

g. S(x, y) x is greater than y, and x, y {1, 2, 3, 4}

h. S(x, y) x is greater than or equal to y, and x, y { 1, 2, 3, 4}

1. S(x, y) y = x and x, y {1, 2, 3, 4}

j. S(x, y) y = 2x, and x, y {1, 2, 3, 4}

k. S(x, y) y = 3x and x, y {1 , 2 , 3, ... , n, }

VII. The cartesian product of two sets

A. Introduction

If you refer to example 2 on page 7, you will recall thatwe must consider all possible ordered pairs which can be formedfrom the given set so that we may replace the variables in thesentences to determine those ordered pairs which make thesentence true. There is an operation on two sets which enablesus to form al:, possible ordered pairs from two given. sets. Thisoperation is called the carte sian product of two sets. Keep inmind that the ordered pair (a, 1) is different from the orderedpair (1, a)

B. Definition of cartesian product of two sets

1. If R and S are two sets, the set of all ordered pairs, in whichthe first element belongs to set R and tJ.e secc)nd elementbelongs to set S is called the cartesian. product of the two setsR and S. This entire set of ordered pairs (iesignatedas "R X S" and is read as "R cross S.

2. If the problem asks for the set of ordered pairs, S X R, thenthe elements of set S would be written first in the pair and theelements of set R would be written second.

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3. The problem of finding the cartesian product of two finite setswith a small number of elements is easily accomplished byusing the following tree diagram:

Example 1:

Given: R = {1, 3}= 2, 4, 6}

To find: R X S, or all ordered pairs (x, y) such that x R and

y s

x R

1.

3-

y R X S

2 (1, 2)4 (1. 4)6 (1, 6)

2 (3, 2)4 *,,` (3, 4)6 >(3, 6)

...R X S = {(l, 2), (1, 4), (1, 6), (3,2), (3,4), (3, 6)}

4. Example 2:

Given: A = {m, n, o}B= {s, describe A X B

A X B = {(m, s), (m, t)

(n, s), (n, t)

(o, s), (o, t)}

5. Example 3:

Given: A= {r, s, t }, describe A X A

A X A = {(r, r), (s, t), (t, r)

(r, s), (s, s), (t, s)

(r, t), (s, t), (t, t))

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6. Example 4:

Given: A = {1, 2, 3}

B= {a, b}, describe A X B and construct.a graph of A X B

A X B = .{(1, a), (2, a), (3, a)

(1, b), (2, b), (3, b)}

A graph or picture of A X B car, be constructed easily by usingpoints to represent the ordered pairs. First, draw orthogonal(perpendicular) axes and let the first coordinate of the orderedpairs represent the horizontal distance of the point, and let thesecond coordinate of the ordered pairs represent. the verticaldistance of the point.

B

(3, b)

--------(2, a)

A

7. Example 5:

Given: A = {1,2}

Required: Describe A X A and construct its graph.

Solution: A X A = {(1, 1), (1, 2), (2, 1), (2, 2)}

A2

1

(1,2)

<----(2f 1)

2

A

8. Example 6:In Example 4 describe B X A and constructB X A = {(a, 1),

(a, 2),(a, 3),

(b, 1)(b, 2)(b, 3)}

3

2

1

its graph

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Exercise C

1. Given: A = {l , 2, 3} ; B = {r, s, t}

a. Write the Cartesian product A X B; graph A X B

b. Write the Cartesian product B X A; graph B X A

2. Given: R = {chocolate ice cream, vanilla ice cream, strawberryice cream

S = {chocolate syrup, marshmallow, whipped cream}

Required:

a) R X S ; by graph of R X S

3. Given: Q = {spiced ham, liverwurst, bologna}T = {white bread, rye bread}

Required:a) Q X T b) graph of Q X T

4. Two dice are used in an experiment, one green and the other red.The number of dots on each face of the green die are from 1 to 6inclusive and are represented by the set

G = {1, 2, 3, 4, 5, 6}

The number of dots on each face of the red die are representedby the set

R = {1, 2, 3, 4, 5, 6}

a. Write the Cartesian product G X R

b. Locate the points repre enting the ordered pairs of G X Ron the following graph. G represents the horizontal axis,and R represents the vertical axis. The first number of theordered pair indicates how many units the right the pointwill be located. The second number of the ordered pairindicates how many units above the '---,rizontal axis the ,)ointis to be placed. Bo.,1 numbers are -0- cessary for the locationof the point. Plc all th points represented by the orderedpairs of G X R

6

5

4

3

2

--r-zG3

5 t

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The result should he a figure in the form of a square, butmade up of dots only. The inside of the square is also filled withevenly spaced dots. This figure is known as a lattice of pointsor a sample space. The latter concept is used in problemsdealing with probability.

5. Can you describe what kind of a sample space would result ifa red, a green, and a white die w ?re used in the above experiment?

VIII. Graphs of the cartesian products to be used in mathematicalsentences

A. Introduction

In the previous pages we have developed the following importantideas:

1. A relation is a set of ordered pairs2. The given set from which all the possible orderer' pairs

can be formed to find the truth set must be clea_iy stated.Changing the given set often results in a different truthset for the very same sentence.

From this point on we shall refer to the given set as U and toU X U as the replacement set containing all the ordered pairsfrom which we will select those pairs which make the sentencetrue. In our subsequent work we shall be using sets of numbersfor our given sets. Some of these will be finite, while others willbe infinite (never-ending). It is necessary that we consider someof these number systems and note the types of graphs which willresult in the graphing of the cartesian product of U X U.

B. Natural numbers

1. Example 1: A finite set U of natural numbers and the resultingGiven: U {1, 2, 3}

(1, 3), (2, 1), (2, 2), (2, 3), (3, 1), (3, 2), (3, 3)}

graph of U X U

U X U = {(l, 1), (1, 2),

3

2

1

1 2 3

Observe that the set of natural numbers when graphed on a linedo not account for all the points on the line. Thus, gaps appearbetween the points on both the axes and the graph of the Cartesianproduct.

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2. Example 2: An infinite set U of natural numbers ari theresulting graph of U X U

Given: U = {1, 2, 3, . . .}

U X U = {(l, 1), (1,2), (1, 3), ..., (2,(3, 2), (3, 3), . , (n, n),

3 ,

2

1

1 2 3

1), (2, 2), (2, 3),..., (3, 1),(n, n+1), . . .

>s-

Note: Arrows are used to indicate that the graph of U X Uis never-ending

C. Integers

Example 1: A finite set U of integers and the resultinggraph of U X U

Given: U = {-3, -2, -1, 0, +1, +2, +3)

The set of ordered pairs of U X U can be represented by the pointsof the following graph:

y

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2. Example 2: An infinite set U of integers and the resultinggraph of U X U

Given: U = {... , -3, -2, 1, 0, 41, +2 +3, ...}

The graph of infinite"set U X U in this case would be the sameas the graph of the finite set given in example 1 above exceptthat arrows would have to be inserted in the diagram to indicatea never-ending or infinite set of ordered pairs.

3. Remember that the graph of the integers on a line has gaps in thenum} because the set of integers cannot account for allpoints on the line. Like the set of natural numbers, the graphof U X U for integers consists of isolated points.

D. Rational numbers

1. The graph of the cartesian product of the rational numbersresembles the graph of U X U for the integers. Although therational numbers are closely packed, they also have gaps in thenumber line, and therefore the graph of U X U will also containisolated points. Many students are mistaken when they thinkthat the rational numbers "fill up" all the points on the line.For example, if we take the rational numbers between 0 and 1and find the number midway between them. we obtain the numberZ. If we then find the number midway between 0 and -2-, we obtainthe number 4. If we continue this forever, we see that we shallnever be able to account for all the points on the line. ThereWill always be "holes" in the line for which no rational numbercan be assigned.

2. Because the set U of points representing the rational numbersis so closely packed, and the set U X U will also be closelypacked, then all the dots used for points will appear to cover thewhole plant.. We know, however, that no matter how manypoints are used or how solidly packed the points are, thesepoints are isolated ard that gaps, however, tiny, will existin the graph of U X U fox rational numbers. For this reason,we shall not use the graph of U X U of rational numbers in ourdiscus sion.

E. Real numbers

1. The real numbers, which consist of all rational and irrationalnumbers, contain all the numbers necessary to account for everypoint on the number line. Thus, there are not gaps or "holes"in the number line. This also means that the graph of U X U forthe set U of real numbers accounts for every point in the plane.One of the important ideas in analytic geometry is that to every

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point on the plane there corresponds one and only one orderedpair of the sr', U X U where U is the set of real numbers andconversely.

Err.

2. In problems where wc.: shall have to consider U as the set ofreal numbers and U X U as the replacement set, it is impossi:b1.eto indicate U X U as we did in the case of the natural numbers, orintegers. We shall consider mentally that every point in theplane representing every ordered pair of U X U is to be usedin considering those replacements which make the sentence trie.

Exercise D

1. Directions:

In the following problems a-e,A. write the set of ordered pairs of U X UB. construct a graph of U X U

a. U = {-1, 0, 1}

b. U = {2, 3}

c. U = {-2, -1, 0, 1, 21.

d. U = {-1, 0, 1, 2}

e. U = {a. b} Hint: Let a and b represent the lengths ofsome arbitrary distance from theintersection of the axes.

2. If U = {integers}, construct a graph of U X U.Does this graph account for all points in the plane?

3. If U = {real numbers} and you are required to show each orderedpair on the graph by a dot made by your pencil point, what wouldyou do to your graph so that all points would be accounted for?,

4. If U has n elements how-many members does U X U contain?

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IX. Sentences in two variables

A. Solution set of sentences in two variables

1. When we select those ordered pairs of the universalset U X U which make a sentence in two variablestrue, we have obt ained the truth set or the solutionset. Thus, the sentence acts as a set selector becauseit divides the set of U X U into two subsets:

a. The subset of ordered pairs which makes thesentence truethe solution set or the truth set.Thus, a relation in U is a subset of U X U.

b. The subset of ordered pairs which makes thesentence false.

B. Domain and range of a relation

1. The domain of a relation is defined as the setof the first coordinates of the solution set.These first coordinates are sometimes referredto as the "pre-images" of the relation. Thedomain of a relation may be easily obtained froma graph by mentally projecting a vertical linefrom each and every point in the graph to thehorizontal axis and reading the value of thatpoint on the horizontal axis. The entire setof numbers obtained by such projections willmake up the set known the domain of therelation.

2. The range of the relation is defined as the c_etof the second coordinates of the solution set.The second coordinates are sometimes referredto as the "images" of the relation. Each imageis associated with one or more :pre-images of therelation. The range of a relation may be easilyobtained from a graph by mentally projecting ahorizontal line from. each and every point in thegraph of the relation until it meets the verticalaxis. The entire set of numbers obtained by suchprojects will make up the set known as the rangeof the relation.

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a)

(-6, 0

d)

4

3

2

1

-1(3, 4)

< 4),.(l,.1) j

(2" 1

r)

(-5, 0

U = {1, 2, 3, 4}

Solution Set : {(1, 1), (2, 1), (2, 2), (3, 4)}

Domain: {1, 2, 3}Range: {1, 2, 4}

Exercise D

0, 3)

U = {real numbers}

5, 0)

Solution Set ={infinite};impossible to list

Domain: { -5 Z x L + 5 }Range.: {-3Z y L + 3}

1. The following graphs represent relations in U where U = {realnumbers}. State in each case the domain and the range of therelation. Arrowheads are placed on lines to indicate that theyare infinite in length.

y(0, +4)

J)

e)

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7 r

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2. The following ordered pairs in each problem represent arelation. State the domain and the range of the relation ineach problem.

a. {(l, 2), (2, 4), (3, 2), (4, 2)}

b. {(1, 4), (1, 3), (1, 1), (2, 4)}

c. {(-3, 8), (-5, 7), (-2, 6), (-1, -7), (3, 2)}

d. {(7, 3), (6, 2), (5, 2), (4, 3), (2, 7))

e. {(-9,2), (-8, 6), (4, 3), (7, 2), (-9,1)1f. {(l, 1), (2, 2), (3, 3), ... , (n, n),

{ (3, 1), (3, 2), (3, 3), ... , (3, n),

C. Functions

1. A function is a special kind of relation in U such that for eachfirst coordinate there is one and only one second coordinate. Arelation, however, may have one or more second coordinatefor any first coordinate. It should be emphasized that everyfunction is a relation, but that not every relation is a function.In other words, the set of functions are a subset of the s-t ofrelations as is represented by the following set diagram.

(Functions'',

Relations y

There are two methods by which we can determine whether arelation is a function. We shall discuss these methods in thenext two sections.

2. Vertical line test of a function

A simple method of determining whether a sentence in twovariables rfforcsents a function is to draw the graph of therelatiou and then consider the vertical lines through each andevery point of the graph. If every vertical line under con-sideration can intersect the graph in one and only one point,then the graph represents a function. If at least one verticalline intersects the graph in more than one point, then the graph

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does not represent a function, but a relation. Of course, thevertical lines do not actually have to be drawn, but thought ofmentally.

Relation, nota function

/I\

Function

3. Ordered pair test

Relation, nota function

Function

A second method to determine whether a relation is a functionis to observe the ordered pairs of the relation. This method doesnot require a graph. If you remember the definition of functionas a special relation or set of ordered pairs in which each firstcoordinate can have tine and only one second coordinate, it shouldbe clear that a function cannot have two ordered pairs with thesame first coordinate. In other words, a function must have allordered pairs with different first coordinates. However, thesecond coordinates may be different or can be the same. Thetest concerns the first coordinates of all the ordered pairs.

Example I: {(1, 2), (3, 4), (5, 4)} This is a function.Example 2: {(1. 2), (1, 3), (5, 4)} This is a relation, not a

function. Observe that 1is used as the first co-ordinate in two differentpairs.

Example 3: {(a, b), (b, c), (c, d)1 This is a function.Example 4: {(2, 3), (3, 3), (4, 3), (5, 3)} This is a function since

all first coordinatesare different.

Exercise E

1. Refer to the graphs in problem 1 of Exercisc.. D. Use the verticalline test to determine whether these graphs represent functions.

2. Refer to problem 2 of Exercise D. Use the ordered pair test todetermine whether these relations are functions.

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3. In problems a-f , the given graphs represent relations in U,where U = {1, 2, 3, 4} In each of the graphs

(1) Write the set of ordered pairs describing the relationrepresented by the circled points.

Determine whether the relation is a function.

(3) State the' domain of the relation

(4) State the range of the relation.

d) 4

3 3 .C!.)

2 2 , C)

(2)

a) 4

1 01 2 3 4

c) 4

3

2

I

O 0 G 0

1 2 3

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e)

f)

1 C;) 0 Cr')

I 2 3 4

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X. Sentences expressing equality

A. Example 1 Given: (x, y) I y = x} where U = {1, 2, 3, 4}

Required: a) to find the solution set1') to graph the relation

1. If U = {1, 2, 3, 4 }, then the universal set of ordered pairs ofU X U is:

{(1, 1), (2, 1), (3, 1), (il, 1)(1, 2), (2, 2), (3, 2), (4, 2)(1, 3), (2, 3), (3, 3), (n, 3)(1, 4), (2, 4), (3, 4), (4, 4)1

2. From this universal set, U X U, we are to select only thoseordered pairs which make the sentence y = x true. It shouldbe clear that this solution set will consist of those orderedpairs whose 1i st coordinate is equal to the second coordinate.Therefore, solution set is:

{(l, 1), (2, 2), (3, 3), (4,4))

Note that the solution set is a subset of U X U.

3. The following graph reveals these ideas:

a. All the po' -its in the graph :'epresent the universal set.

b. Only those points which are circled belong to the solutionset and make the sentence true.

c. All points not circled belong to the subset of the orderedpairs which make the sentence false.

I 2 3 4

4. Note that the graph of this sentence is not a continuous line,but is composed of isolated points.

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B.

5. Using the vertical line test, we see that vertical lines intersectthe graph of the relation (the circled points) in one and only onepoint. Also by the ordered pair test, every first coordinate isdifferent. Hence, this relation is a function.

6.

7.

Domain of the relation:

Range of the relation:

{1,

{1, 2,

2,

3,

3, 4}

4}

Example 2 Given: {(x, y) y = x } where U = {-2, -1, 0, +1, +2}

Required: a. To find the solution setb. To construct the graph of the relation

1. If Y = {-2, -1,0, +1, +2}, the graph of U X U will consist of 25points representing all the ordered pairs of U X U. From thisuniversal set we are to select those ordered pairs which makethe sentence y = x true. The solution set for this sentence is:

{(-2, -2), (-1, -1), (0, 0), (+1, +1), (+2, +2)}

2. The following graph illustrates the elution set ;.)y circling thosepoints representing ordered pairs satisfying the requirementsof the sentence.

3. Domain: {-2, -1, 0, +1, +2}

4. Range: {-2, -1, 0, +1, +2}

5. This relation is a function

C. Example 3 To find and graph: {(x, y) y =1:1

when U = {real numbers}

1. If we let U = {real numbers}, then the totality of orderedpairs under discussion in this problem will be representedby all the points of the plane. Note that in this case the

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universal set is infinite. The solution set is also an infinite setconsisting of such ordered pairs as:

(-3, -3), (+5, +5), (0,0), (1,4), ( .727272...., 727272... ) \TT-, irT),etc.

2. The graph of this sentence is the continuous line made up ofpoints whose ordered pairs have equal components.

3. Domain: {real number}

4. Range: {real numbel's}

5. This relation is a function

6. Observe that the same sentence was used in this problem and thetwo previous problems, yet the solution set was different in eachcase. The graph was therefore different. This difference in thesolution set for the same sentence is due to the fact that differentuniversal sets were used. This should emphasize the statementmade previously that it is necessary to state precisely the unive.sal set in each problem in order to avoid confusion and disagreement

D. Graphing mathematical sentences whose variables are of the firstdegree

1. Many of the equations which you will meet in your work will beof the first degree; that is, the exponent of each variable is 1and only one variable can appear in each term. Thus, thefollowing sentences are of the first degree.

x +y = 5

= 2

x = 3

These sentences when graphed will have their points lying in astraight line. Thome graphs using natural numbers of integersas the universal set will not have a continuous line, whereas thegraph using the set of real numbers as the given set will resultin a continuous straight line.

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2. If the graph a first degree equation is always a straight line,then we shall need three ordered pairs which shall be representedas points. Although it is true that only two points are needed todraw a line, it is wise to include a third point to check theaccuracy of the first two points. If the three points are correct,only one line will pass through all three points. a the three pointsare not correct, then connecting the three points will result in atriangle.

3. To find any three ordered pairs which make the sentence true, itis convenient to transform the sentence so that the second co-ordinate is always expressed in terms of the first coordinate.

Example: Given sentence:Transformed sentence:

x + y = 5y = 5 - x

Observe that y and 5-x are different names for the same number.If we choose any three values arbitrarily from the given set torepresent the value of the first coordinate x and then replace thesevalues in the transformed sentence, we shall obtain the correspond-ing second coordinate. Suppose our given set is the set of realnumbers and we select arbitrarily x = 3, x = -1, and x = 7

Lf x = 3

y = 5 - xy = 5 - 3 Therefore, this ordered paid is (3, 2)

= 2

If x = -1

y = 5 - xy = 5 - (-1) Therefore, this ordered pair is ( -1, 6)y = 6

Ifx =7

y = 5 - xy = 5 -y = -2

Therefore, this ordered pair is (7, -2)

With these three ordered pairs we may draw a continuous linesince U X U consists of all points in the plane

(-1, 6)

(3, 2)

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Exercise F

1. In problems a - k , graph the relations in U if U = {1, 2, 3, 4, 5}. Inaddition, state:

(1) the solution set(2) whether the relation is a function(3) the domain of the relation(4) the range of the relation

a. {(x,y) I y = 2x} f. {(x, y) I X = 2}

b. {(x, y) I y = x} g. {(x,y) I y = -3}

C. 1t (X, Y) I Y = h. {(x,Y) x = ,2)

d. {(x, y) I y + ax = 5} i. {(x, y) I y 3}

e. { (x, y) I y = x - 1} j. {(x, y) 12x - 3y = 6}

2. Repeat problem 1 using U = {-2, -1, 0, +1, +2}

3. Repeat problem 1 using 13 = {real numbers}. Do not answer part (1)since the solution sets are infinite.

XI Inequalities in sentences in two variables

A. Introduction

1. The concept of ordered pairs as the solution set of sentences intwo variables lends itself well to the solution of inequalities.

2. In considering inequalities we consider the universal set in exactlythe same way which we used in considering equalities (equations).Recall that changing the universal set may often affect the solutionset.

B. Example 1 To find the solution set and graph of:{(x, y) I y > x } when U = {1, 2, 3, 4}

1. If we let U = {1,2,3, 4}, we have a universal set consisting of16 ordered pairs and a graph of the universal set consisting of16 points.

2. Note that the requirements of the sentence state that the secondcomponent must always be greater than the first component. Itshould be clear that the solution set must consist of the followingordered pairs:

{ (1, 2), (1, 3), (1, 4), (2, 3), (2, 4), (3, 4)1

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3. The circled points of the following graph indicate those pointsrepresenting ordered pairs which are solutions to the givensentence.

4. Domain: {1, 2, 3}

5. Range: {2, 3, 4}

6. This relation is not a function by the vertical line test.

C. Example 2 To find the solution sPt and graph of:

{ (x, y) y > x when U = { -2, -1, 0, +1, +2}

1. Let U = {-2, -1, 0, +1, +2}. The universal set will consist of 25ordered pairs represented by 25 points. Observe that the secondcomponent must always be greater than the first component.

Solution Set = {(-2, -1), (-2, 0), (-2, 1), (-2, 2), (-1, 0),

(-1, 1), (-1, 2) (0, 1), (0, 2), (1, 2)}

2. The circled points of the following graph indicate those pointsrepresenting those ordered pairs of the solution set.

y

3. Domain: {-2, -1, C, +1.}

4. Range: {-1, 0, +1, +2}

5. This relation is not a function.

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6. Note that the graph of the above solution set consists of thosepoints which lie above the graph of {(x, y) I y = x} having thesame universal set.

D. Example 3 To find the solution set and graph of {(x, y) I y > x 'whereU = {real numbers}.

1. If U = {real numbers}, then the totality of ordered pairs ofU X U can be represented by all the points of the plane. Insteadof circling those points which represent the solution set, we shallshade the entire region containing the points representing thesolution set. In this case, the shaded region including all pointslying above the graph of y = x. represents geometrically thesolution set of the sentence. Note that the region should ex;:ludeall points of the line represented by the sentence y = x.

2. Domain: {real numbers}

3. Range: {real, numbers}

4. This relation is not a function.

5. We usually think of a line as a geometric figure which connectstwo points on a plane. However, a line performs another task;that is, it divides the plane into three infinite sets of points.In this problem where TJ = {real numbers}, the line representedby the sentence y = x divides the plane into the following sects:

a. the set of points of the line represented by the sentencey = x.

b. the set of points of the half-plane lying above the linerepresented by the sentence y = x; that is, the pointsof this region represent all the ordered pairs whichmake the sentence y 5 x true.

c. the set of points of the half-plane lying below the linerepresented by the sentence y = x; that is, the pointsof this region represent all the ordered pairs whichmake the sentence y < x true.

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6. Because lines can slant in many directions, confusion often arisesas to which region contains those points whose ordered pairs makea sentence true. A simple test is to select an arbitrary point be-longing to one of the regions, and determine whether the orderedpair representing that selected point makes the sentence true. Ifthe sentence is thus judged true for this particular ordered pair,then the region must lie on the same side as the selected point.If the sentence is judged false for that particular ordered pair, thenthe region must lie on the other side of the line.

The point which results in the least amount of calculation is thepoint at the origin represented by the ordered pair, (0, 0). If,however, the line passes through the origin, some other point mustbe selected which lies on either side of the line.

Exercise G

In the following problems you are given sentences in two variables witha specified set U. For each of the problems:

(1) Graph the relation in U. The only pointy to be used in this graphare those whose ordered pairs make the sentence true. DO NOTPLACE IN YOUR DIAGRAM ALL OF THE ORDERED PAIRS OFU X U.

(2) State the solution set in ordered pairs if U X U is a small finiteset; in a descriptive statement, if possible, where U X U is aninfinite set

(3) State the domain of the relation

(4) State the range of the relation

(5) State whether the relation is a function

1. If U = {1, 2, 3, 4, 5}

a. {(x, y) I y = 2x}

Solution:

(1)

Pin MN I I I MS M I,

5

4

3

2

1

1 2 3 4 5

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(2)

(3)

(4)

(5)

Solution set: { (1;2), (2, 4)}

Domain: {1, 2}

Range: {2, 4}

This relation is a function

b. {(x,y) I y < x {(x,y) I x + y < 5}

c. {(x,y I y = -x, j, {(x, y) I x + y

d. {(x,Y)Iyx} k. {(x,y) I x = 2 }

e. {(x,y) I y = 2x } 1. {(x,Y) I Y = 3 }

f. {(x, y) I y < 2x } m. {(x, y) I x = -1}

g. {(x, y) y = 6x} n. {(x, y) I y = -2}

h. {(x,y) I x + y = 5} o. {(x,Y) I y<

2. Repeat problem 1(a) to (o) if U = { -2, -1, 0, +1, +2}

3. Use the same sentences in problem I (a) to (o), but let U = {real numbers}.For each problem:

(1) Graph the relation(2) State the domain of the relation(3) State the range of the relation(4) State whether the relation is a function

E. The absolute value of signed numbers

1. The absolute value of a positive number is that same positive number.The symbol for absolute value consists of two vertical bars on eachside of the number.

I + 51= +5

1 + 7 1 = +7

In many texts the above examples are written as

1 + 5 1 = 5

1 + 7 1 = 7

There should be no confusion, however, because these texts use thenumeral "5" as another name of "+5" since the set of natural numbers

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have the same structure as the positive integers. To avoid confusion,we shall agree to use the notation as given in the first example.

2. The absolute value of a negative number is the additive inverse of thenegative number.

I-5 I = -(-5) orI -7 I = -(-7) or

I -5 I

I -7 I

3. The absolute value of zero is zero

1 0 1 = 0

= + 5

= + 7

4. Summary of absolute value of signed numbers

= x where x?... 0

= -x where x < 0

The following diagram shows how the absolute value represents arelation whereby a. positive or negative number is associated withitself or its additive inverse, and zero is associated with itself.

absolute value

Exercise H

1. Determine the following:

a. 1 + 18 1

b. I 36 I

c. 1 0 I

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2. State whether the following statements are true or false:

a.I 3 14 I +3 I

g. I -10 I < + 36

b. - 3 t + 3 h. I -101 I < I + 36 I

c. 1 -4 1> 1 -19 1 i. 1 - 5 1 > 1 -125 1

d. 1 + 4 1 < 1 +19 1 j. - 26 = + 26 1

e . 1 + 4 1< 1 -19 1 k. 0 > - 5

I. 1 -4 I > I +19 I1. 1 0

I > 5 I

F. Sentences involving inequalities with absolute values

1. Example 1 To find the solution set and graph of{(x$Y)Iy=lx 1} where U= {integers}.

a. Observe that the sentence to be satisfied requires that the secondcoordinate always be equal to the absolute value of the firstcoordinate.

Solution set = {(0, 0), (+1, +1), (-1, +1), (+2, +2), (-2, +2), (+3, +3),

( -3, +3),

.+3

2

+1 *

- 0 +

-2

71

b. Domain: {integers}

c. Range: {all non-negative integers} or {all positive integers and zero}

d. This relation is a function.

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2. Example 2: To find the solution set and graph of{(x, y) Iy=lx1} where U = { real numbers}

a. From previous discussions it should be clear that the solutionset consists of all ordered pairs which make up the two half-lines as shown in the following graph. It is impossible tolist all the ordered pairs which make the sentence true.

x

b. Domain: {all real numbers}

c. Range: {all non.-negative real number s}

d. This relation is a function.

Exercise I

Direction: In the following sentences(1) Graph the relation in U if U = {real numbers}(2) State the domain of the relation(3) State the range of the relation(4) State whether the relation is a function

1. {(x,y)ly>x}2. {(x, Y) lk I = + 3 }

(Note. y can take on anyvalues and not affectthe sentence)

3. { (x, y)I

IxI > + 3 }4. {(x, y) I Ix. I < 3 }

(Note: "3" is another namefor "+3"

5. {(x,y) I Ix' 3 }6. {(x, y) I 3 < x < 5 }

7. {(x, y) I 3 < x. _< 5 }

8. (x, Y) Y I 2x I }

.9. { (x, 3r) lly1=4}

Problems 15-28: Repeat problems 1-14 but use U = {real nurnbers}.

513

10. {(x, y) I y<2 2 }11. {(k, y'? 1.1x1 + IYI = 4 }

Since. Ix] = +x. if x_>_ 0.and -Ix I = '-x if x: < 0then we really have foursentences to satisfy+x +y = 4 where x > 0 and y> 0-x +y = 4 whele x < 0 and y > 0+x -y = 4 where x > 0 and y '<-x -y = 4 where x < 0 and y < 0

12. {(x,Y) 11x1 + 1 YI< 413. {(x,y) I IxI + IYI > 2 }

14. {(x,y) I Ix' IYI 3 }15. {(x,y)

1 Ix' IYI > 2

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(0,

y

G. Sentences involving variables of the second degree

1. Example 1 Discuss the graph of {(x, y) y = x2} when

b)

(3, 9) ).

(2, 4)

0)

Domain: ={0, 1, 2, 3}

Range: ={0, 1, 4, 9}

a. U = {0, 1, 2, 3, .. , 9}b. U = {integers}c. U = {real numbers}

c)y /

.77(\3,

(-2, 4) . . (2, 4)

(-1, 1) . (1, 1)._

(0, 0)

9) (-3, 9) */(3, 9)

(-2, 4) (2, 4)

(-1, 1) (1, 1)

Domain: {integers} Domain: {real numbers}.Range: {0, 1,4,9, , n

2,

This relation is a This relation is-a functionfunction

.} Range: {non-negativereal numbers}

This relation is afunction

2. Exaxnplr Z Discuss the graph of y) x = y2} when

U = {real numbers}

(9, 3)(4,2)

(1, 1)

(4,(9, -3)

X

Domain: {non-negative real numbers}Range: {real numbers}This relation is not a function.

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3. Example 3 Discuss the graph of {(x, y)1..x 2 '+ y2 < 4 } when

U = (-2, -1,0, +1,+2)

Domain: { -1, 0, +1}

Range: {-1, 0, +1}

This relation is not a function

4. Example 4 2y2Discuss the graph of {(x, x y = 4} when

a.

b.

a. U = {-2, -1,0,+1+2}b. U = {real numbers}

Exercise I

Domain: { -2, 0, +2}

Range: {-2, 0, +2}

This relation is not a function

Domain: {-2 < x < +2}

Range: {-2 < y < +2}

This relation is not a function

Directions: Discuss the graphs of the following problems whena. U = {integers}b. U = {real numbers)

1. {(x, y) x2 + y2 = 16 8.2. {(x, y)

Ix2 +y2 >9} 9.

3. {(x,y) I x2 + y2 = 25} 10.4. -{(x, y I x2 + y2 < 25} 11.5. {(x,y) I 9 <x2 +y2 < 25} 12.6. {(x, y) I 9 < x2 + y2 < 25 } 13.

- 35 -

Ex y) I =

{ (x, Y) Ix=

Y) IY={(x, y) I x =

{(x, Y) I Y

Y) I x <

x2 - 2}

Y2 112x + 212

y +2x2

Y )

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XII. Functional notation

A. From our work in set'.;, we note that a set is simply designated bya capital letter, such as U or S or A, etc. Since we have developedthe concept that a function is a special kind of relation or set ofordered pairs, we often designate the function by a capital letter,such as F or G, etc. Thus we may use the notation:

F = {(x, y) j y = x - 1} or G = {(x, y) I y = x 2}

Frequently we find that a (lower-case) letter is used torepresent the function or set of ordered pairs such as:

f = {(x,y) j y = 2x} or g = {(x, y) j y = xal

B. We have seen how equations or inequalities act as devices to assigna second coordinate to a first coordinate of the ordered pair. Thesecond coordinate assigned to any first coordinate x is written:

f (x) or g (x).

This is read as "f at x" or "g at x"; sometimes it is read"f of x" or g of x." Therefore, y = f(x). y and f(x) are namesfor the same number. It should be emphasized that f and f(x)are not the same. The notation "f" means the entire set ofordered pairs which make the sentence true, whereas thenotation "f(x)" simply means the second coordinate of theordered pair which is assigned to some first coordinate x.

C. The function can therefore be represented in different forms:

f = {(x,Y) I Y = x2}

f = {(xsx )}

f = {(x, f(x) j f(x) = x2}

These forms are used interchangeably so that it is wise to becomefamiliar with them.

D. Example: Given the function f defined by {(x,y) y = xfind f(1), f(0), f(-12)

f(1) = 1 - 1 = 0; therefore f(1) = 0

f(0) = 0 - 1 = -1; therefore f(0) = -1

f(-12) = 1 - (-12) = 1 + 12 = 13; therefore f(-12) = 13

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E. Example: Given the function G defined by {(x,y) I y = 3x2} for theFet U = {-2, -1, 0, +1, +2}

a. Describe the function Gb. Find G (+2)c. Find G (-1)

Solution: a. G = {(x, y) I y = 3x2}

G = {(-2, +12), (-1, +3), (0, 0), (+1, +3), (+2,-142))

F. Example:

b. G (+2) = +12c. G (-1) + 3

Given the function f defined by the sentence or rulef(r) = (4/3) Tr r3

find: (1) f(-5)(2) f(a)(3) f(3t)

Solution: ( 1) f(-5) = -5001T/3

(2) 1(a) = (4/3) Tra 3

(3) f(3t) = 36Trt3

Exercise .1

Directions: Given the following sentences which define the function f in whichthe universal set is {real numbers) calculate the following foreach problem from I - 8

a. f(-3)b. f(4)c. f( 5)

1. y = 4x + 9

d. f (0)e. f(2.13)f. 1(4a)

2. f(x) = 8x - 5

3. f(x) = 3x2 - 4x + 5

4. y = x2 + 3x - 2

- 37 -

g. f(-3a)h. f(+100)

5. y =2. 13/x

6. r = 3t2 - 5t

7. y = 2

8. f(x) = -2

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*9. Given G = {(x, y) I G(x) = 43(1, find G(0); G(-1); G(1)

*la. Given F = {(x,y) x + 1F (x) = } defined for all values except x = 1.x 1

Find F (0); F(2); F(-1); F (rn + 1)

Given f = {(x, y) f(x) = x2 -I- 4x -1, show that

f(x h) = x2 - 3x + 7 + 2xh - 3h + hz

*12. Given g = {(x, y) I g(x) = x4 + 3x2 - 4 }, show that g(a) = g(-a).

*13. Given f = {(x, y) I f(x) = 1/x, show that f(x + h) - f(x) = -h/x2 + xh

*14. Given g = {(x, y)i

g(x) = nix + n, show that g(x t) - g(x) = mt

*15. Given f = {(x, y) I f(x) = x +--x-1 and g = {(x, y) I g(x) = x

show that f(x) g (x) = g(x 2)

XIII. Systems of sentences involving equations and inequalities

A. Introduction

In the previous sections the required solution involved findinga set of ordered pairs which satisfied the conditions defined by asentence of equality or inequality. There are many problems inmathematics which require a set of ordered pairs which mustsatisfy two or more sentences. Such a problem is referred to asa simultaneous system. The solution set which satisfies two ormore sentences simultaneously contains the ordered pairs whichmake the sentences true. The number of ord5red pairs which makeup the solution set may be none, one, more than one, and in somecases, the solution set may be an infinite set. Such a set representsthe intersection of the two sets because it contains the ordered pairor pairs common to both sentences.

The method of graphing the solution of such systems involvesthe graphing of the lines or regions as shown in the previoussections. Where two regions are involved, it is wise to indicateone region by shading one regir'n with horizontal lines, andshading the second region by vertical lines. Then the region whichshows the double shading or cross-hatching represents the regioncontaining the points representing the ordered pairs making thesentences true. If more than two regions are involved, slantedshading may be used. Pencils of different colors are also helpful.

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B. Example 1: Graph the following relations and state the solutionset common to both sentences, WhereU = {real numbers}

{(x,y) y =

{(x,y) x + y = 6}

or{(x, y) y = x}f { (x, y) x + y = 6}

Solution set: {(3, 3)} or x = 3Y = 3

C. Example 2: Find the solution set common to both of thefollowing sentences where U = {real numbers}

I

x + y> 6

x

The region indicated by the cross-hatching contains those pointsrepresenting those ordered pairs of the solution set which are commonto both sentences. This solution set is infinite.

D. Example 3:

X2 +y2 <9y < x

Find the common solution set to both sentences whereU = {real numbers}

I

Notice that the solution set common to both sentences isby those points lying inside the circle and lying on and below the straightline but not on the circumference of the circle.

repre sented

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Exercise K

Directions: In the following simultaneous systems, of sentences make a graphof the sentences and state the solution set by a description of thegraph of the solution set or listing the members of the solution.set where it is small. In all cases consider U = {real numbers].

1.. y = xy = 3x

Z. y = xy = x + 2

3. x + y = 5x = 3

4. x + y = 5x - y = 3

5. x + 2y = 8y =

6. 2x + y 5x - y = 1

7. x - y = 0+ y = 5

8. y - x = 13y = 2x

9. x - y = 1x + y = 9

10. y = x + 5y = x + 3

11. y xy 3x

12. y > xy < x + 4

13. x + y =7-'2 5x

14. y > x + 5y < x + 2

15. y < x + 5y >x +2

16. x > 0y > 0

17. x < 0y > 0

18. x < 0Y <0

19. x > 0y < 0

20. x > 0y> 0x + y 5

21. y> x2y < x 6

22. x > 3x < -.3

23. x < 3x < -3

24. x> 3x> -3

- 40 -

25. y > 5y < 2

26. 3Z >;12y >. x

27. x2 + y2 > 4y < x

28. y > x2y < 3

229. y> xx< -.2

30. x2 y2 > 9

x 5

31. x2 + y2 25

x2 +y2 4

32. x2 + y2

25

x2 + y2 4

33. x2 + y2

9

y > x2

34. x > 4y <

35. x < 4y >2

36. x > 4x > 4

37. x < 4y < 2

38. x + y 5

y?ix -6Y i --.3

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Honor Problems

Directions: Graph the solution set of the following sentences:

1. xy = yxx

2. +y

= 2x y

3. x+y=y+x4.

x yy x

XIV. Summary

5. x2 -y2 =.0

6. I xy I > 0

7. x - y: = y x

8. xy 0

A. A relation is a set of ordered pairs.

B. A function is a special kind of relation such that no two orderedpairs have the same first coordinate.

C. The concept of function involves a domain, range, and a definingsentence (rule or formula) which assigns to the first coordinateof the ordered pair one and only one value for the second coordinate.

D. The domain of a relation is the set of the first coordinates of theordered pairs which make up the relation.

E. The range of a relation is the set of the second coordinates of theordered pairs which make up the relation.

F. The function is not the sentence, rule or formula. The function isthe set of ordered pairs. When we point to a graph and state" this is the graph of the function", we always mean those pointsand only those points of the graph which represent the orderedpairs of the function.

G. f(x) is not the function nor does it represent the function. f(x) issecond coordinate of the ordered pair whose first coordinate is x.The term, f(x) is often used loosely to mean the function. It isbetter to use the symbol "f" when we mean the function, and reservethe symbol "f(x) to mean the second coordinate of the ordered pair.

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BIBLIOGRAPHY

Aiken, J. A., and Beseman, C.A. MODERN MATHEMATICS; TOPICS ANDAND PROBLEMS. New York: McGraw-HillBook Company, Inc. 1959.

Andree, Richard V. SELECTIONS FROM MODERN ALGEBRA. New York:Henry Holt and Company. 1958

Birkhoff G. and Mac Lane S. A SURVEY OF MODERN ALGEBRA. (RevisedEdition) New York: The MacmillanCompany. 1953

Breuer, Joseph. (translated by Howard Fehr). THE THEORY OF SETS.Englewood Cliff, N. J. : Prentice-Hall, Inc.1958

Christian, Robert. INTRODUCTION TO LOGIC AND SETS. New York, N. Y. :Ginn and Company. 1958

College Entrance Examination Board. Princeton, N. J. : 1959.APPENDICES, 1959ELEMENTARY PROBABILITY AND STATISTICAL

INFERENCE FOR SECONDARY SCHOOLS, ANEXPERIMENTAL COURSE. 1957

Freund, John E. A MODERN INTRODUCTION TO MATHEMATICS.Englewood Cliffs, N. J. Prenctice-Hall, Inc.1956

Johnson, Richard E. FIRST COURSE IN ABSTRACT ALGEBRA. EnglewoodCliffs, N. J.: Prentice-Hall, Inc. 1953

Kelley, John L. INTRODUCTION TO MODERN ALGEBRA. Princeton, \I. J. :D. Van Nostrand Company, Inc. 1960

Kershner, R. G. and Wilcox, L. R. THE ANATOMY OF MATHEMATICS.New York: The Ronald Press Company. 1950

May, Kenneth 0. ELEMENTS OF MODERN MATHEMATICS. Reading,Massachusetts: Addison-Wesley PublishingCompany, Inc. 1959

McCoy, Neal H. INTRODUCTION TO MODERN ALGEBRA. Boston,Massachusetts: Allyn and Bacon, Inc. 1960

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National Council of Teachers of Mathematics. THE GROWTH OF MA THE-MATICAL IDEAS, Twenty Fourth Yearbook.Washington, D. C.: 1959

Woodward, Edith J. , and McLenna, Roderick C. ELEMENTARY CONCEPTSOF SETS. New York: Henry Holt and Company. 1959.

University of Illinois Committee on School Mathematics. ORDERED PAIRSAND GRAPHS, UNIT 4. Urbana, Illinois: Universityof Illinois. 1959

Cir;