1.2 the real number system

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Chapter 1 Section 1.2 The Real Number System as a Number Field

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MATH 17 - COLLEGE ALGEBRA AND TRIGONOMETRY

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Page 1: 1.2 the real number system

Chapter 1

Section 1.2

The Real Number System

as a Number Field

Page 2: 1.2 the real number system
Page 3: 1.2 the real number system

Uses of Number

1. Naming 2. Ordering 3. Counting 4. Measuring Note: The counting numbers are not sufficient for measuring.

Page 4: 1.2 the real number system

Definition

Numbers that will be used for counting and measuring will be collectively called real numbers

The Set of Real Numbers

And the set of real numbers will be denoted by ℝ.

Page 5: 1.2 the real number system

Equality Axiom

Reflexive Property of Equality

For any 𝑎 ∈ ℝ, 𝑎 = 𝑎

Symmetric Property of Equality

For any 𝑎, 𝑏 ∈ ℝ, if 𝑎 = 𝑏 then 𝑏 = 𝑎

Transitive Property of Equality

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, if 𝑎 = 𝑏 and 𝑏 = 𝑐 then 𝑎 = 𝑐

Page 6: 1.2 the real number system

Basic Operations

Addition +

Multiplication ∙

In elementary mathematics, particularly in arithmetic, we learned two basic operations on real numbers, namely

Page 7: 1.2 the real number system

Closure Axiom

Closure Property for Addition

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 + 𝑏 ∈ ℝ

Closure Property for Multiplication

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 ∙ 𝑏 ∈ ℝ

ℝ is closed under addition and multiplication.

Page 8: 1.2 the real number system

Example

Determine whether or not each of the following sets is closed under addition and multiplication.

1. ℕ 2. 𝐸 3. 𝑂 4. 𝑃 5. 𝐶

addition multiplication

YES YES

YES YES

NO YES

NO NO

NO YES

Page 9: 1.2 the real number system

Associativity Axioms

Associative Property for Addition

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, 𝑎 + 𝑏 + 𝑐 = 𝑎 + 𝑏 + 𝑐

Associative Property for Multiplication

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, 𝑎 ∙ 𝑏 ∙ 𝑐 = 𝑎 ∙ 𝑏 ∙ 𝑐

Addition and Multiplication are associative on any subset of ℝ.

Page 10: 1.2 the real number system

Commutativity Axioms

Commutative Property for Addition

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 + 𝑏 = 𝑏 + 𝑎

Commutative Property for Multiplication

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 ∙ 𝑏 = 𝑏 ∙ 𝑎

Addition and multiplication are commutative on any subset of ℝ.

Page 11: 1.2 the real number system

Distributivity Axiom

Distributive Property for Multiplication over Addition

For any 𝑎, 𝑏, 𝑐 ∈ ℝ,

𝑎 ∙ 𝑏 + 𝑐 = 𝑎 ∙ 𝑏 + 𝑎 ∙ 𝑐

These are satisfied by addition and multiplication on any subset of ℝ.

𝑎 + 𝑏 ∙ 𝑐 = 𝑎 ∙ 𝑐 + 𝑏 ∙ 𝑐

Page 12: 1.2 the real number system

Multiplicative Identity

Existence of Multiplicative Identity

There is a unique number 1 such that,

1 ∙ 𝑎 = 𝑎

𝑎 ∙ 1 = 𝑎

for any real number 𝑎

Page 13: 1.2 the real number system

Remark

Note that the set of counting (natural) numbers ℕ together with addition and multiplication satisfies all the axioms we have discussed so far.

Page 14: 1.2 the real number system

Equality Axiom

Addition Property of Equality (APE)

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, if 𝑎 = 𝑏 then 𝑎 + 𝑐 = 𝑏 + 𝑐

Multiplication Property of Equality (MPE)

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, if 𝑎 = 𝑏 then 𝑎 ∙ 𝑐 = 𝑏 ∙ 𝑐

Page 15: 1.2 the real number system

Substitution

If two real numbers are equal, then one may be substituted for the other in any algebraic expression

If 𝑥 = 5𝑦

then 2𝑥 + 3𝑦 = 2 5𝑦 + 3𝑦

Also, 𝑥3 = 5𝑦 3 = 125𝑦3

Page 16: 1.2 the real number system

Example

Tell which of the axioms of the real numbers justifies each of the following

statement.

1. 2 ∙ 3 + 2 ∙ 5 = 2 ∙ 3 + 5

2. 4 ∙ 10 ∙ 10 = 4 ∙ 10 ∙ 10

3. 10 ∙ 4 ∙ 10 = 4 ∙ 10 ∙ 10

Page 17: 1.2 the real number system

Solvable Equations

Consider 3 + 𝑥 = 5

𝑥 = 2 is a solution and 2 ∈ ℕ.

Thus, we say that the equation is solvable in ℕ

Now, consider 3 + 𝑥 = 0

This equation is not solvable in ℕ.

Page 18: 1.2 the real number system

Remark

ℕ is not large enough to contain solutions even for such simple linear equation that we have seen.

Something must be done!

Page 19: 1.2 the real number system

Additive Identity

Existence of Additive Identity

There is a unique number 0 such that,

0 + 𝑎 = 𝑎

𝑎 + 0 = 𝑎

for any real number 𝑎

Page 20: 1.2 the real number system

Identity Elements

Additive Identity 0

Multiplicative Identity 1

Remark: 0 ≠ 1 and 0 ∉ ℕ

Thus we form another set of numbers which contains the natural numbers and the additive identity. This set is called the set of whole numbers denoted by 𝕎

𝕎 = ℕ ∪ 0

Page 21: 1.2 the real number system

Solvable Equations

Is 3 + 𝑥 = 3 solvable in 𝕎?

Is 3 + 𝑥 = 2 solvable in ℕ? in 𝕎?

Page 22: 1.2 the real number system

Additive Inverses

Existence of Additive Inverse

For every real number 𝑎, there is a number − 𝑎 such that

𝑎 + −𝑎 = 0

Page 23: 1.2 the real number system

Example

What is the additive inverse of 0? By the existence of additive identity,

0 + 0 = 0 Therefore, −0 = 0.

What is the additive inverse of −𝑎? By the existence of additive identity,

𝑎 + −𝑎 = −𝑎 + 𝑎 = 0 Therefore, − −𝑎 = 𝑎.

Page 24: 1.2 the real number system

Theorem

Cancellation Law for Addition

For 𝑎, 𝑏, 𝑐 ∈ ℝ, if 𝑎 + 𝑐 = 𝑏 + 𝑐, then 𝑎 = 𝑏

Zero Property

For 𝑎 ∈ ℝ, 𝑎 ∙ 0 = 0

Page 25: 1.2 the real number system

Theorem

Theorem.

For 𝑎, 𝑏 ∈ ℝ, −𝑎 ∙ 𝑏 = − 𝑎 ∙ 𝑏

Corollary.

For 𝑎 ∈ ℝ, −1 ∙ 𝑎 = −𝑎

Page 26: 1.2 the real number system

Theorem

Corollary.

−1 ∙ −1 = 1

Theorem.

For 𝑎, 𝑏 ∈ ℝ, −𝑎 ∙ −𝑏 = 𝑎 ∙ 𝑏

Theorem.

For 𝑎, 𝑏 ∈ ℝ, − 𝑎 + 𝑏 = −𝑎 + −𝑏

Page 27: 1.2 the real number system

Definition

For any 𝑎, 𝑏 ∈ ℝ 𝑎 − 𝑏 = 𝑎 + −𝑏

Subtraction

For example: 9 − 7 = 9 + −7 = 2 2 − 2 = 2 + −2 = 0

Page 28: 1.2 the real number system

Set of Integers

ℤ = 𝕎 ∪ … ,−3,−2,−1 = … ,−3,−2,−1,0,1,2,3, …

Remark: ℤ is the smallest subset of ℝ that satisfies all the previous axioms.

Page 29: 1.2 the real number system

Subsets of ℤ

ℤ:: ℕ ℤ;: … ,−5,−4,−3,−2, −1

ℤ⊕: 𝕎

ℤ⊝: … ,−5,−4,−3,−2, −1,0

Page 30: 1.2 the real number system

Solvable Equations

Is 2 ∙ 𝑥 = −6 solvable in ℤ?

Is 2 ∙ 𝑥 = 1 solvable in ℕ? in 𝕎? In ℤ?

Is 2 ∙ 𝑥 = 3 solvable in ℕ? in 𝕎? In ℤ?

Page 31: 1.2 the real number system

Multiplicative Inverses

Existence of Multiplicative Inverses

For every real number 𝑎 ≠ 0, there is a

unique number 1

𝑎 such that

1

𝑎∙ 𝑎 = 1

The multiplicative inverse of 𝑎 is 1

𝑎.

Because of the commutative property for multiplication, the multiplicative inverse of 1

𝑎 is 𝑎.

Page 32: 1.2 the real number system

Theorem

Cancellation Law for Multiplication

For 𝑎, 𝑏 ∈ ℝ, and any nonzero number 𝑐 if 𝑎 ∙ 𝑐 = 𝑏 ∙ 𝑐, then 𝑎 = 𝑏

Theorem.

For 𝑎, 𝑏 ∈ ℝ, such that 𝑎 ∙ 𝑏 = 0, then either 𝑎 = 0 or 𝑏 = 0

Page 33: 1.2 the real number system

Theorem

Theorem

If 𝑎, 𝑏, are nonzero real numbers, 1

𝑎 ∙ 𝑏=

1

𝑎∙

1

𝑏

Page 34: 1.2 the real number system

Definition

For any 𝑎, 𝑏 ∈ ℝ and 𝑎 ≠ 0 𝑏

𝑎= 𝑏 ∙

1

𝑎

Division

Remark: Division by 0 is undefined.

Page 35: 1.2 the real number system

Definition

A real number 𝑥 which can be written as a quotient of an integer 𝑝 by a nonzero 𝑞 is called a rational number.

Rational Numbers

ℚ = 𝑥 𝑥 =𝑝

𝑞, 𝑝 ∈ ℤ, 𝑞 is a nonzero integer

Page 36: 1.2 the real number system

Theorem

Theorem.

For any number 𝑏, 𝑏

1= 𝑏.

Theorem. (Prove)

If 𝑐 is any nonzero real number then 𝑐

𝑐= 1

Theorem. (Prove)

𝑏

𝑎∙

𝑑

𝑐=

𝑏𝑑

𝑎𝑐, a ≠ 0, 𝑐 ≠ 0

Page 37: 1.2 the real number system

Theorem

Theorem.

If 𝑐 is a nonzero real number, 𝑎 ∙ 𝑐

𝑏 ∙ 𝑐=

𝑎

𝑏

Theorem. (Prove)

If 𝑏

𝑎=

𝑑

𝑎 then 𝑏 = 𝑑 and

If 𝑏

𝑎=

𝑑

𝑐 then 𝑏 ∙ 𝑐 = 𝑎 ∙ 𝑑, a ≠ 0, 𝑐 ≠ 0

Page 38: 1.2 the real number system

Theorem

Theorem.

If 𝑏

𝑎≠ 0, then

1𝑏

𝑎 =

𝑎

𝑏

Theorem.

If 𝑏

𝑎≠ 0, then

𝑑𝑐

𝑏𝑎 =

𝑑∙𝑎

𝑐∙𝑏

Page 39: 1.2 the real number system

Theorem

Theorem. ;𝑏

𝑎= −

𝑏

𝑎=

𝑏

;𝑎, and

;𝑏

;𝑎=

𝑏

𝑎, 𝑎 ≠ 0.

Theorem. 𝑏

𝑎+

𝑑

𝑐=

𝑏 ∙ 𝑐 + 𝑎 ∙ 𝑑

𝑎 ∙ 𝑐, a ≠ 0, 𝑐 ≠ 0

Page 40: 1.2 the real number system

Example

Perform the indicated operations

1. 2

3∙

5

12

2.4

5 20

25

3.2

5+

3

5

4.2

3+

4

5

.=2∙5

3∙2 .=

10

36 .=

5∙2

18∙2 .=

5

18

=4 ∙ 25

20 ∙ 5

=2 + 3

5

=2 ∙ 5 + 3 ∙ 4

3 ∙ 5

=100

100= 1

=5

5= 1

=22

15

Page 41: 1.2 the real number system

Theorem

Theorem.

For any number 𝑏, 𝑐 ∈ ℝ and any nonzero number 𝑎, there exists a unique solution to

the equation 𝑎 ∙ 𝑥 + 𝑏 = 𝑐

Page 42: 1.2 the real number system

Solvable Equations

Is 𝑥2 = 9 solvable in ℚ?

Is 𝑥2 = 2 solvable in ℚ?

Why is there no rational number whose square is 2?

Page 43: 1.2 the real number system

Definition

A real number which is not rational is called an irrational number.

Irrational Numbers

ℚ′ ≔ set of irrational numbers ℝ = ℚ ∪ ℚ′

Page 44: 1.2 the real number system

Decimals

A real number can have decimal representation that is:

terminating 2.36 or non-terminating 2.363636…

A non-terminating decimal representation can be

repeating 2.3636… or non-repeating π = 3.1415…

Page 45: 1.2 the real number system

Decimals

• terminating or • nonterminating but repeating.

Rational Numbers

• nonterminating and non-repeating.

Irrational Numbers

Examples: 54 0. 33 = 1

3 −12

Examples: 𝑒 𝜋

Page 46: 1.2 the real number system

Irrational Numbers

Some irrational numbers are of the form 𝑝𝑛 where 𝑝 is a real number

𝑝𝑛 : 𝑛𝑡ℎ root of 𝑝 (sometimes called radicals) 𝑝 is called the radicand 𝑛 is called the index

𝑝: square root of 𝑝

Page 47: 1.2 the real number system

nth Root

𝑝𝑛 is a solution to 𝑥𝑛 = 𝑝

−83

is a solution to 𝑥3 = −8. Since −2 is the only real number whose cube is − 8,

−83

= −2

4 is a solution to 𝑥2 = 4. Since −2 and 2 are real numbers whose

square is 4, we need to decide on which 4 is. Now we define the principal root.

Page 48: 1.2 the real number system

Definition

If 𝑛 is even and 𝑝 is a non-negative, we define 𝑝𝑛 as the positive 𝑛th root of 𝑝. If 𝑝 is negative, 𝑝𝑛 is undefined.

Principal Root

If 𝑛 is odd and 𝑝 is positive, −𝑝𝑛 = − 𝑝𝑛

Hence by definition, 4 = 2.

Page 49: 1.2 the real number system

Example

1. 16

2. 83

3. −273

4. 6254

5. −4

Determine the value of the following radicals

.= 4

.= 2

.= −3

.= 5

.undefined

Page 50: 1.2 the real number system

Theorem

Theorem.

For a positive number 𝑝 and an even number 𝑛

𝑝𝑛𝑛 = 𝑝

Example.

164

= 244= 2

Page 51: 1.2 the real number system

Order Axioms

Our objective now is to identify how the real numbers can be arranged on a line.

In order to do this, we refer to the order axioms that the set of real numbers satisfy.

Page 52: 1.2 the real number system

Less Than

First, we assume the existence of the relation “less than” between two numbers, denoted by the symbol <

𝑎 < 𝑏 is read as 𝑎 is less than 𝑏.

Page 53: 1.2 the real number system

Trichotomy Axiom

For any 𝑎, 𝑏 ∈ ℝ, one and only one of the following holds:

𝑎 < 𝑏 𝑎 = 𝑏 𝑏 < 𝑎

We will use this axiom to formally define positive and negative real numbers.

Page 54: 1.2 the real number system

Definition

A real number 𝑎 is said to be positive if 0 < 𝑎 and negative if 𝑎 < 0. The number 0 is neither positive nor negative.

The trichotomy axiom guarantees that every real number is either positive, negative or zero

Positive and Negative Numbers

Page 55: 1.2 the real number system

Transitivity Axiom

Transitivity Axiom of Order

For any 𝑎, 𝑏, 𝑐 ∈ ℝ, and if 𝑎 < 𝑏 and 𝑏 <c, then 𝑎 < 𝑐.

Page 56: 1.2 the real number system

Addition Axiom

Addition Axiom of Order

If 𝑎, 𝑏, 𝑐 ∈ ℝ, and 𝑎 < 𝑏 then 𝑎 + 𝑐 < 𝑏 + 𝑐

Theorem

For a positive real number 𝑎, c < 𝑎 + 𝑐.

Page 57: 1.2 the real number system

Multiplication Axiom

Multiplication Axiom of Order

If 𝑎, 𝑏, 𝑐 ∈ ℝ, and if 𝑎 < 𝑏 and 0 < 𝑐 then 𝑎 ∙ 𝑐 < 𝑏 ∙ 𝑐

Page 58: 1.2 the real number system

Definition

If 𝑎, 𝑏 ∈ ℝ, we say 𝑎 > 𝑏, read as “𝑎 is greater than b”, if and only if 𝑏 < 𝑎.

Greater Than

Thus, 𝑎 is positive if 𝑎 > 0 and negative if 0 > 𝑎.

Page 59: 1.2 the real number system

Theorem

Theorem.

The set of positive real numbers is closed under addition and multiplication

Theorem.

If 𝑎 > 0, then−𝑎 < 0 and if 𝑎 < 0, then −𝑎 > 0

Theorem.

If 𝑎 < 𝑏, then −𝑏 < −𝑎

Page 60: 1.2 the real number system

Theorem

Theorem.

If 𝑎 ∈ ℝ, either 𝑎2 = 0 or 𝑎2 > 0

Corollary.

1 > 0

Definition.

𝑎 < 𝑏 if and only if there exists a positive real number c such that a + c =b

Page 61: 1.2 the real number system

Theorem

Theorem.

If 𝑎, 𝑏, 𝑐 ∈ ℝ, and 𝑎 > 𝑏 and 𝑐 < 0, then ac < bc

Theorem.

If 𝑎 > 0 then 1

𝑎> 0

Theorem.

If 𝑎 > 𝑏, then −𝑏 > −𝑎

Page 62: 1.2 the real number system

Definition

An inequality of the form 𝑎 < 𝑥 < 𝑏 is called a continued inequality and is to be understood to be 𝑎 < 𝑥 and 𝑥 < 𝑏.

Continued Inequality

We shall also define 𝑎 ≤ 𝑏 to mean 𝑎 < 𝑏 or 𝑎 = 𝑏.

Similarly 𝑎 ≥ 𝑏 means 𝑎 > 𝑏 or 𝑎 = 𝑏.

Page 63: 1.2 the real number system

Real Number Line

The order properties of numbers allow us to arrange the real numbers on a line, called the real number line. We choose an arbitrary point to correspond to the number 0. To the right of 0, we place the positive real numbers while the negative real numbers are placed to the left of 0.

Page 64: 1.2 the real number system

Real Number Line

Moreover, a number 𝑥 is greater than another number 𝑦 if 𝑥 is found to the right of 𝑦. The real number line is shown below.

−5 −1 0 1 5

Page 65: 1.2 the real number system

Real Number Line

We can now say that every real number corresponds to a point on the line and every point corresponds to a real number. In other words, there is a one-to-one correspondence between the set of real numbers and the set of points on the line.

Page 66: 1.2 the real number system

Real Number Line

The one-to-one correspondence allows us to set-up a coordinate system on the line. Thus, to a given point on the line, there corresponds a real number which we shall call the coordinate of the point.

Page 67: 1.2 the real number system

Example

Locate the following numbers on the real number line

1.1

2

2. −3

2

3. 6

4. 𝜋

0 11 22 3

Page 68: 1.2 the real number system

Definition

If 𝑥1 and 𝑥2 are points on the real number line, the distance 𝑑(𝑥1, 𝑥2) between them

is given by 𝑑 𝑥1, 𝑥2 = 𝑥2 − 𝑥12

Distance

Page 69: 1.2 the real number system

Example

If the points 𝐴 and 𝐵 have the given coordinates respectively, find the distance between them.

1. 3, 7

2. −2,−5

𝑑 3,7 = 7 − 3 2 = 4

d −2,−5 = −2 − (−5) 2 = 3

Page 70: 1.2 the real number system

Definition

The absolute value of a number 𝑥 is defined as

𝑥 = 𝑥2 = 𝑥 if 𝑥 > 0−𝑥 if 𝑥 < 00 if 𝑥 = 0

With this definition, it follows that that the

distance 𝑑(𝑥1, 𝑥2) = |𝑥2 – 𝑥1| and it is always non-negative as expected.

Absolute Value

Page 71: 1.2 the real number system

Example

If the points 𝐴 and 𝐵 have the given coordinates respectively, find the distance between them.

1. 3, 7

2. −2,−5

𝑑 3,7 = 3 − 7 = 4

d −2,−5 = −2 − (−5) = 3

Page 72: 1.2 the real number system

Theorem

Theorem.

For any 𝑎 ∈ ℝ, − 𝑎 ≤ 𝑎 ≤ 𝑎

Theorem.

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 ∙ 𝑏 = 𝑎 𝑏 and

𝑎𝑏 = 𝑎

𝑏

Triangle Inequality.

For any 𝑎, 𝑏 ∈ ℝ, 𝑎 + 𝑏 ≤ 𝑎 + 𝑏

Page 73: 1.2 the real number system

Example

Give an interpretation of the following statements: 1. 𝑥 = 5 2. 𝑥 − 2 = 3 3. 𝑥 < 3 4. 𝑥 > 3 5. 𝑥 − 1 < 2

Page 74: 1.2 the real number system

Interval Notations

For real numbers 𝑎 and 𝑏 we define the following sets:

𝑎, 𝑏 = 𝑥 ∈ ℝ 𝑎 < 𝑥 < 𝑏 𝑎, 𝑏 is read as ”open interval from 𝑎 to 𝑏”

𝑎, 𝑏 = 𝑥 ∈ ℝ 𝑎 ≤ 𝑥 ≤ 𝑏

𝑎, 𝑏 is read as ”closed interval from 𝑎 to 𝑏”

Page 75: 1.2 the real number system

Definition

The number 𝑢 is called an upper bound of a set 𝑆 if 𝑥 ≤ 𝑢 for all 𝑥 ∈ 𝑆. Similarly, the number 𝑣 is called a lower bound of a set 𝑆 if 𝑥 ≥ 𝑣, for all 𝑥 ∈ 𝑆

Upper and Lower Bounds

Page 76: 1.2 the real number system

Example

1. 7,0,8 − 2,3 Upper bounds: Lower bounds:

2. 1,1

2,1

3, …

Upper bounds: Lower bounds:

Give upper and lower bounds for the following sets.

Page 77: 1.2 the real number system

Example

3. 𝑥1

2< 𝑥 <

5

2

Upper bounds: Lower bounds: 4. 𝑥 𝑥 < −1 or 𝑥 > 1 Upper bounds: Lower bounds:

5. 𝑥 ∈ ℕ1

2≤ 𝑥 ≤

9

2

Upper bounds: Lower bounds:

Page 78: 1.2 the real number system

Definition

An upper bound 𝑢 is called the least upper bound (lub) if no upper bound is less than 𝑢. A lower bound 𝑣 is called the greatest lower bound (glb) if no lower bound is greater than 𝑣.

Least Upper Bound and Greatest Lower Bound

Page 79: 1.2 the real number system

Example

1. 7,0,8, −2,3 lub: glb:

2. 1,1

2,1

3, …

lub: glb:

Identify the lub and glb of the following

8

2

10

Page 80: 1.2 the real number system

Example

3. 𝑥1

2< 𝑥 <

5

2

lub: glb: 4. 𝑥 𝑥 < −1 or 𝑥 > 1 lub: glb:

5. 𝑥 ∈ ℕ1

2≤ 𝑥 ≤

9

2

lub: glb:

52

12

none

none

1 4

Page 81: 1.2 the real number system

Completeness Axiom

Completeness Axiom

Every subset 𝑆 of ℝ, that has an upper bound has a least upper bound in ℝ.

Similarly, every subset 𝑆 of ℝ, that has a lower

bound has a greatest lower bound in ℝ.