1 nonlinear models chapter 2 quadratic functions and models exponential functions and models...

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1 Nonlinear Models Chapter2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Lectures 2 & 3

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Page 1: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

1

Nonlinear ModelsChapter2

• Quadratic Functions and Models

• Exponential Functions and Models

• Logarithmic Functions and Models

• Logistic Functions and Models

Lectures 2 & 3

Page 2: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Quadratic FunctionQuadratic Function

2( ) 0f x ax bx c a

A quadratic function of the variable x is a function that can be written in the form

Ex.

a, b, and c are fixed numbers

2( ) 12 3 1f x x x

Page 3: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

3

Quadratic FunctionQuadratic Function

2( ) 0f x ax bx c a

Every quadratic function has a parabola as its graph.

a > 0a < 0

Page 4: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

4

Features of a ParabolaVertex:

x – intercepts

y – intercept

symmetry

,2 2

b bx y f

a a

2 0ax bx c 2

bx

a

y c

Page 5: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

5

Sketch of a Parabola

Vertex:

x – intercepts

y – intercept

2; 92

bx y

a

5y

2( ) 4 5f x x x Ex.

2 4 5 0x x 5,1x

Page 6: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Application

Ex. For the demand equation below, express the total revenue R as a function of the price p per item and determine the price that maximizes total revenue.

3 600q p

( ) 3 600R p pq p p 23 600p p

Maximum is at the vertex, p = $100

Page 7: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Exponential FunctionExponential Function

( ) 0xf x Ab b

An exponential function with base b and exponent x is defined by

Ex. ( ) 5 3xf x

where A and b are constants.

Page 8: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

8

Laws of ExponentsLaws of ExponentsLaw Example

1. x y x yb b b

2.x

x yy

bb

b

4.x x xab a b

3.yx xyb b

5.x x

x

a a

b b

1/ 2 5 / 2 6 / 2 32 2 2 2 8 12

12 3 93

55 5

5

61/ 3 6 / 3 2 18 8 8

64

3 3 3 32 2 8m m m 1/ 3 1/ 3

1/ 3

8 8 2

27 327

Page 9: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Graphing Exponential FunctionsGraphing Exponential Functions

Ex. ( ) 3xf x

(0,1)

( )y f x

0 1

1 3

2 9

11 3

x y

Page 10: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

10

Finding the Exponential Curve Through Two Points

Ex. Find an equation of the exponential curve that passes through (1,10) and (3,40).

( ) xf x Ab

110 Ab340 Ab

340

10

Ab

Ab

24 b2b

Plugging in we get A = 5

( ) 5 2 xf x

Page 11: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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ExampleExampleEx. A certain bacteria culture grows according to the following exponential growth model. The bacteria numbered 20 originally, find the number of bacteria present after 6 hours.

0.4479( ) 20 4 tQ t

0.4479(6)(6) 20 4 829.86Q

So about 830 bacteria

Page 12: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Compound InterestCompound Interest

( ) 1mt

rA t P

m

A = the future value

P = Present valuer = Annual interest ratem = Number of times/year interest is compoundedt = Number of years

Page 13: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Compound InterestCompound Interest

Find the accumulated amount of money after 5 years if $4300 is invested at 6% per year and interest is reinvested each month

1mt

rA P

m

12(5).06

4300 112

A

= $5800.06

Page 14: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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The Number e

e is an irrational constant.

2.718281828459045...e

If $1 is invested for 1 year at 100% interest compounded continuously (m gets very large) then A converges to e:

11

m

A em

Page 15: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Continuous Compound InterestContinuous Compound Interest

rtA Pe

A = Accumulated amount P = Present valuer = Annual interest ratet = Number of years

Page 16: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Ex. Find the accumulated amount of money after 25 years if $7500 is invested at 12% per year compounded continuously.

rtA Pe0.12(25)7500A e

$150,641.53

Continuous Compound InterestContinuous Compound Interest

Page 17: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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LogarithmsLogarithms

log if and only if 0yby x x b x

The base b logarithm of x is the power to which we need to raise b in order to get x.

Ex. 3

7

1/ 3

5

log 81 4

log 1 0

log 9 2

log 5 1

Page 18: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logarithms on a Calculator

Common Logarithm10log log

ln loge

x x

x x

Natural Logarithm

Abbreviations

log 4 0.60206

ln 26 3.2581

Base 10

Base e

Page 19: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Change-of-Base Formula

To compute logarithms other than common and natural logarithms we can use:

log lnlog

log lnba a

ab b

9log15

log 15 1.232487log9

Ex.

Page 20: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logarithmic Function GraphsLogarithmic Function Graphs

Ex. 3( ) logf x x

(1,0)

3logy x1/ 3logy x

1/ 3( ) logf x x

(1,0)

Page 21: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

21

Properites of Logarithms

1. log log log

2. log log log

3. log log

4. log 1 0

5. log 1

b b b

b b b

nb b

b

b

mn m n

mm n

n

m n m

b

Page 22: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Ex. How long will it take a $800 investment to be worth $1000 if it is continuously compounded at 7% per year?

0.071000 800 te

3.187765t

0.075

4te

5ln 0.07

4t

Apply ln to both sides

Application

About 3.2 years

Page 23: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logarithmic FunctionLogarithmic Function

( ) log bf x x C A logarithmic function has the form

Also:( ) ln f x A x C

Ex. ( ) 4.6 ln 8f x x

Page 24: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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ExampleExampleSuppose that the temperature T, in degrees Fahrenheit, of an object after t minutes can be modeled using the following equation: 0.3( ) 200 150 tT t e

1. Find the temperature after 5 minutes.0.3(5)(5) 200 150 166.5T e

2. Find the time it takes to reach 190°.0.3190 200 150 te

0.31/15 te ln 1/15

9 min.0.3

t

Page 25: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logistic FunctionLogistic Function

where A, N, b are constants.

A logistic function is a function that may be expressed in the form:

( ) 0, 11 x

Nf x b b

Ab

Page 26: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logistic FunctionLogistic Function

( ) 0, 11 x

Nf x b b

Ab

N N

b >1 0 < b <1

N is called the limiting value

Page 27: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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Logistic Function for Small Logistic Function for Small xx

Thus it grows approximately exponentially with base b.

For small values of x we have:

11x

x

N Nb

AAb

Page 28: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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ModelingModelingEx. A small school district has 2400 people. Initially 10 people have heard a particular rumor and the number who have heard it is increasing at 50%/day. It is anticipated that eventually all 2400 people will hear the rumor. Find a logistic model for the number of people who have heard the rumor after t days.

10(1 ) 2400A Using (0,10):

tAb

tP

1

2400

Page 29: 1 Nonlinear Models Chapter 2 Quadratic Functions and Models Exponential Functions and Models Logarithmic Functions and Models Logistic Functions and Models

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For small value of t: in 1 day 15 people will know

so b = 1.503

A = 239

tb

tP

2391

2400

12391

240015

b

t

tP

50312391

2400

.