copyright © cengage learning. all rights reserved. modeling with linear functions section 2.2

20
Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

Upload: james-ferguson

Post on 02-Jan-2016

213 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

Copyright © Cengage Learning. All rights reserved.

Modeling with Linear Functions

SECTION 2.2

Page 2: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

2

Learning Objectives

1 Determine if two quantities are directly proportional

2 Construct linear models of real-world data sets and use them to predict results

3 Find the inverse of a linear function and interpret its meaning in a real-world Context

Page 3: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

3

Recognizing When to Use a Linear Model

Page 4: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

4

Recognizing When to Use a Linear Model

Several key phrases alert us to the fact that a linear model may be used to model a data set.

Some of the simplest linear models to construct are those that model direct proportionalities, where one quantity is a constant multiple of another quantity.

Page 5: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

5

Recognizing When to Use a Linear Model

Solving the equation y = kx for k yields

Thus another way to define direct proportionality is to say that two quantities are directly proportional if the output divided by the input is a constant.

Page 6: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

6

Example: w is directly proportional to z. If w = −6 when z = 2,find w when z = −7.

Solution:

Direct Variation, Example 1

Page 7: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

7

Direct Variation, Example 1

Page 8: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

8

Garth’s front lawn is a rectangle measuring 120 feet by 40 feet. If a 25lb. bag of “Weed and Feed” will treat 2,000 square feet, how many bags must Garth buy to treat his lawn? (Assume that he must buy whole bags.)

Solution:

Direct Variation, Example 2

Page 9: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

9

Direct Variation, Example 2

Page 10: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

10

Inverses of Linear Functions

Page 11: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

11

Inverses of Linear Functions

We have known that the domain of a function f was the range of its inverse function f

–1 and the range of the function f was the domain of its inverse function f

–1.

This notion is represented as follows.

The phrase “y is the function of x” corresponds with the phrase “x is the inverse function of y.”

Page 12: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

12

Inverses of Linear Functions

Symbolically, y = f (x) is related to x = f –1(y).

Recognizing this relationship between a function and its inverse is critical for a deep understanding of inverse functions, especially in a real-world context.

Many students struggle with the concept of inverse functions.

To help you get a better grasp on this concept, we will work a straightforward example before summarizing the process of finding an inverse of a linear function.

Page 13: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

13

Example 5 – Finding the Inverse of a Linear Function

Find the inverse of the function .

Solution:In the function we are given, x is the independent variable and y is the dependent variable. We solve this equation for x.

Page 14: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

14

Example 5 – Solution

In this new equation, y is the independent variable and x is the dependent variable. We can write the original function as

Similarly, we can write the inverse function as

The function is the inverse of

cont’d

Page 15: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

15

Inverses of Linear Functions

We now summarize the process of finding the inverse of a linear function. Observe that since dividing by 0 is undefined, this process only works for linear functions with nonzero slopes.

Page 16: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

16

Inverses of Linear Functions

We have known that horizontal lines can be written in the form y = b.

The inverse of a horizontal line is a vertical line x = a; however, a vertical line is not a function. Therefore, only linear functions with nonzero slopes have an inverse function.

Page 17: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

17

Inverses of Linear Functions Example

Based on data from June 2006, the forecast for maximum 5-day snow runoff volumes for the American River at Folsom, CA, can be modeled by v = f(t) = −2.606t + 131.8 thousand acre-feet,

where t is the number of days since the end of May 2006. That is, the model forecasts the snow runoff for the 5-day period beginning on the selected day of June 2006. Find the inverse function.

Page 18: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

18

Inverses of Linear Functions Example

v = f(t) = −2.606t + 131.8

Solution:

Page 19: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

19

Exit Ticket:

Page 20: Copyright © Cengage Learning. All rights reserved. Modeling with Linear Functions SECTION 2.2

20

Inverses of Linear Functions Example