3.7 – variation

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Direct Variation: y varies directly as x (y is directly proportional to x), if there is a nonzero constant k such that 3.7 – Variation The number k is called the constant of variation or the constant of proportionality Verbal Phrase Expression h = h h = 2 . h h = 3 . h h . . = . kx y

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3.7 – Variation. Direct Variation: y varies directly as x (y is directly proportional to x), if there is a nonzero constant k such th at. The number k is called the constant of variation or the constant of proportionality. 3.7 – Variation. Direct Variation. - PowerPoint PPT Presentation

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Page 1: 3.7  –  Variation

Direct Variation: y varies directly as x (y is directly proportional to x), if there is a nonzero constant k such that

3.7 – Variation

The number k is called the constant of variation or the constant of proportionality

.kxy

Verbal Phrase Expression𝑦 𝑣𝑎𝑟𝑖𝑒𝑠 𝑑𝑖𝑟𝑒𝑐𝑡𝑙𝑦 h𝑤𝑖𝑡 𝑥 𝑦=𝑘𝑥

𝑠𝑣𝑎𝑟𝑖𝑒𝑠 𝑑𝑖𝑟𝑒𝑐𝑡𝑙𝑦 h𝑤𝑖𝑡 h𝑡 𝑒 𝑠𝑞𝑢𝑎𝑟𝑒𝑜𝑓 𝑡 𝑠=𝑘𝑡 2

𝑦 𝑖𝑠 𝑑𝑖𝑟𝑒𝑐𝑡𝑙𝑦 𝑝𝑟𝑜𝑝 . h𝑤𝑖𝑡 h𝑡 𝑒𝑐𝑢𝑏𝑒𝑜𝑓 𝑧 𝑦=𝑘 𝑧3

𝑢𝑖𝑠𝑑𝑖𝑟𝑒𝑐𝑡𝑙𝑦 𝑝𝑟𝑜𝑝 . h𝑤𝑖𝑡 h𝑡 𝑒𝑠𝑞 .𝑟𝑡 .𝑜𝑓 𝑣 𝑢=𝑘√𝑣

Page 2: 3.7  –  Variation

Direct Variation

kxy 824 k

k824

Suppose y varies directly as x. If y is 24 when x is 8, find the constant of variation (k) and the direct variation equation.

3k

xy 3direct variation equation

constant of variation

xy

39

515

927

1339

3.7 – Variation

Page 3: 3.7  –  Variation

kwd 567 k

k567

Hooke’s law states that the distance a spring stretches is directly proportional to the weight attached to the spring. If a 56-pound weight stretches a spring 7 inches, find the distance that an 85-pound weight stretches the spring. Round to tenths.

81

k

xy31

direct variation equation

constant of variation

8531

y

6.10y inches

3.7 – Variation

Page 4: 3.7  –  Variation

Inverse Variation: y varies inversely as x (y is inversely proportional to x), if there is a nonzero constant k such that

The number k is called the constant of variation or the constant of proportionality.

.xky

Verbal Phrase Expression𝑦 𝑖𝑠𝑖𝑛𝑣𝑒𝑟𝑠𝑒𝑙𝑦 𝑝𝑟𝑜𝑝𝑜𝑟𝑡𝑖𝑜𝑛𝑎𝑙 h𝑤𝑖𝑡 𝑥 𝑦=

𝑘𝑥

𝑠𝑣𝑎𝑟𝑖𝑒𝑠 𝑖𝑛𝑣𝑒𝑟𝑠𝑒𝑙𝑦 h𝑤𝑖𝑡 h𝑡 𝑒𝑠𝑞𝑢𝑎𝑟𝑒𝑜𝑓 𝑡 𝑠= 𝑘𝑡 2

𝑦 𝑖𝑠𝑖𝑛𝑣𝑒𝑟𝑠𝑒𝑙𝑦 𝑝𝑟𝑜𝑝𝑜𝑟𝑡𝑖𝑜𝑛𝑎𝑙 𝑡𝑜 𝑧 4 𝑦=𝑘𝑧4

𝑢𝑣𝑎𝑟𝑖𝑒𝑠 𝑖𝑛𝑣𝑒𝑟𝑠𝑒𝑙𝑦 h𝑤𝑖𝑡 h𝑡 𝑒𝑐𝑢𝑏𝑒 .𝑟𝑡 .𝑜𝑓 𝑣 𝑢=𝑘

3√𝑣

3.7 – Variation

Page 5: 3.7  –  Variation

Inverse Variation

xk

y

36

k

k18

Suppose y varies inversely as x. If y is 6 when x is 3, find the constant of variation (k) and the inverse variation equation.

xy

18

direct variation equation

constant of variation

xy

36

92

101.8

181

3.7 – Variation

Page 6: 3.7  –  Variation

tk

r

430

k

k120

The speed r at which one needs to drive in order to travel a constant distance is inversely proportional to the time t. A fixed distance can be driven in 4 hours at a rate of 30 mph. Find the rate needed to drive the same distance in 5 hours.

xr

120

direct variation equation

constant of variation

5120

r

24r mph

3.7 – Variation

Page 7: 3.7  –  Variation

Joint VariationIf the ratio of a variable y to the product of two or more variables is constant, then y varies jointly as, or is jointly proportional, to the other variables.

Verbal Phrase Expression

𝑦 𝑣𝑎𝑟𝑖𝑒𝑠 𝑗𝑜𝑖𝑛𝑡𝑙𝑦 h𝑤𝑖𝑡 𝑥 𝑎𝑛𝑑 𝑧 𝑦=𝑘𝑥𝑧

𝑧=𝑘𝑟 𝑡2

𝑉=𝑘𝑇𝑃

𝐹=𝑘𝑚𝑛𝑟 2

3.7 – Variation

Page 8: 3.7  –  Variation

Joint Variation

𝑧=𝑘𝑥𝑦

z varies jointly as x and y. x = 3 and y = 2 when z = 12. Find z when x = 4 and y = 5.

12=𝑘 (3 ) (2 )2=𝑘𝑧=2 𝑥𝑦𝑧=2 (4 ) (5 )𝑧=40

3.7 – Variation

Page 9: 3.7  –  Variation

Joint Variation

𝑉=𝑘h𝑟 2

V varies jointly as h and . V = 402.12 cubic inches, h = 8 inches and r = 4 inches. Find V when h = 10 and r = 2.

402.12=𝑘 (8 ) ( 4 )2 3.142=𝑘𝑉=3.142h𝑟 2 𝑖𝑛3𝑉=125.68

The volume of a can varies jointly as the height of the can and the square of its radius. A can with an 8 inch height and 4 inch radius has a volume of 402.12 cubic inches. What is the volume of a can that has a 2 inch radius and a 10 inch height?

𝑉=3.142 (10 )22

3.7 – Variation

Page 10: 3.7  –  Variation

3 3 02

x yx y

A system of linear equations allows the relationship between two or more linear equations to be compared and analyzed.

02 10x yx y

7 14

y xy

7 292 432

y x

y x

y x

4.1 - Systems of Linear Equations in Two Variables

Page 11: 3.7  –  Variation

Determine whether (3, 9) is a solution of the following system. 5 2 3

3x yy x

5 3 2 39

15 18 3 3 3

9 33

9 9

Both statements are true, therefore (3, 9) is a solution to the given system of linear equations.

4.1 - Systems of Linear Equations in Two Variables

Page 12: 3.7  –  Variation

Determine whether (3, -2) is a solution of the following system.

2 83 4

x yx y

2 3 2 8

6 2 8 8 8

3 23 4

3 6 4

Both statements are not true, therefore (3, -2) is not a solution to the given system of linear equations.

3 4

4.1 - Systems of Linear Equations in Two Variables

Page 13: 3.7  –  Variation

Solving Systems of Linear Equations by Graphing

4 13

y xy

: 1,3Solution

3 3 3 4 1 1

3 3

4.1 - Systems of Linear Equations in Two Variables

Page 14: 3.7  –  Variation

Solving Systems of Linear Equations by Graphing

2 03x y

x y

: 1, 2Solution

3 3

2 1 2 0

0 0

3y x

1 2 3

2y x

4.1 - Systems of Linear Equations in Two Variables

Page 15: 3.7  –  Variation

Solving Systems of Linear Equations by the Addition Method

9357 3328

126315

2036610 2950627

9141217

4.1 - Systems of Linear Equations in Two Variables

(Also referred to as the Elimination Method)

Page 16: 3.7  –  Variation

6413

yxyx

13 yx

113 y

64 yx

13 yx

13 y2 y

2y

2,1Solution

77 x

77 x1x

4.1 - Systems of Linear Equations in Two VariablesSolving Systems of Linear Equations by the Addition Method

(Also referred to as the Elimination Method)

Page 17: 3.7  –  Variation

3210145

yxyx

145 yx

14515

y

32102 yx

145 yx

141 y24 y

21,

51

Solution525 x 5

1x

145 yx6420 yx 2

1y

4.1 - Systems of Linear Equations in Two VariablesSolving Systems of Linear Equations by the Addition Method

(Also referred to as the Elimination Method)

Page 18: 3.7  –  Variation

943652

yxyx

6523 yx 6052 x

9432 yx

652 yx

62 x3x

0,3Solution

07 y0y

18156 yx1886 yx

4.1 - Systems of Linear Equations in Two VariablesSolving Systems of Linear Equations by the Addition Method

(Also referred to as the Elimination Method)

Page 19: 3.7  –  Variation

201481074

yxyx

10742 yx20148 yx

00

20148 yx20148 yx

True Statement

4.1 - Systems of Linear Equations in Two Variables

Solution: All realsLines are the same

Solving Systems of Linear Equations by the Addition Method

(Also referred to as the Elimination Method)

Page 20: 3.7  –  Variation

4.1 - Systems of Linear Equations in Two Variables

23593

yxyx

233 yx593 yx

10

593 yx693 yx

lines are parallel

False Statement

No Solution

Solving Systems of Linear Equations by the Addition Method

(Also referred to as the Elimination Method)

Page 21: 3.7  –  Variation

Solving Systems of Linear Equations by Substitution

5 2 33

x yy x

325 yx 3325 xx

3x

365 xx3 x

xy 3

33y

9y

9,3Solution

4.1 - Systems of Linear Equations in Two Variables

Page 22: 3.7  –  Variation

Solving Systems of Linear Equations by Substitution

2 83 4

x yx y

43 yx43 yx

0y

82 yx

07 y

82 yx802 x

4x

0,4Solution

8432 yy886 yy

887 y82 x

4.1 - Systems of Linear Equations in Two Variables

Page 23: 3.7  –  Variation

Example4.1 - Systems of Linear Equations in Two Variables

LCD: 6

LCD: 15

Solution(2 ,−1)