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Limits Involving Infinity Limits Involving Infinity

Limits Involving Infinity - PowerPoint Presentation

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Limits Involving Infinity - PPT Presentation

Chapter 22 Finite Limits as   The notion of infinity has long been troublesome both philosophically and mathematically The ancient Greeks essentially banished infinity from mathematics and in doing so may have delayed the discovery of calculus for more than 2000 years ID: 710496

limits behavior model function behavior limits function model finding values asymptotes find limit vertical functions infinity models finite properties

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Slide1

Limits Involving Infinity

Chapter 2.2Slide2

Finite Limits as

 

The notion of infinity has long been troublesome both philosophically and mathematically

The ancient Greeks essentially banished infinity from mathematics and in doing so, may have delayed the discovery of calculus for more than 2,000 years

An example known as Zeno’s Paradox, attributed to the Greek philosopher Zeno of Elea, will illustrate why

2Slide3

Finite Limits as

 

Suppose that your are walking in a straight line from your seat to the door

Before you get there, you must walk exactly half the distance

Before you get to the half-way point, you must walk half of that distanceBefore you get to the quarter-distance, you must walk half of that distance, and so on…

Therefore, you will never get to the door

But, of course, you do get to the door so we have a paradox

3Slide4

Finite Limits as

 

The problem, in Zeno’s view, was that you would have to perform an infinite number of tasks, which he maintained is impossible

There are several other similar paradoxes, all of which are meant to show why infinity makes no sense. (If you want to read more, Google “Zeno’s Paradoxes”)

The point for us to remember is that we must be careful when working with infinity; we must be precise in what we mean by this term

4Slide5

Finite Limits as

 

The first thing to remember is that infinity is not a number, rather it is a quality of endlessness

We will use the notation

and

, and these will mean that we allow

to grow “as big as we like”

Note the similarity to the phrase “as close as we like” or synonymously, “as small as we want”

Working with

infinite limits

or with limits

at infinity

requires definitions that are similar to the limit definition (though we won’t use them in this class)

 

5Slide6

Finite Limits as

 

Consider the function

What happens to the function values as

?

That is, what do the function values tend to become if we allow

to become larger and larger?

If

, then

; if

, then

; if

, then

; if

, then

What number is

approaching?

 

6Slide7

Finite Limits as

 

7Slide8

Finite Limits as

 

What happens with

values as

?

That is, what do the function values tend to become if we allow

to continue to the left as far as we like?

If

, then

; if

, then

; if

, then

; if

, then

What number is

approaching?

 

8Slide9

Finite Limits as

 

9Slide10

Finite Limits as

 

The graphs demonstrate the following (these are basic so you MUST know them):

These two facts are

theorems

that we can prove from a precise definition; we will take them as given

Note that the line

is a horizontal asymptote

 

10Slide11

Horizontal Asymptote

DEFINITION:

The line

is a

horizontal asymptote of the graph of a function

if either

 

11Slide12

Properties of Limits as

 

THEOREM:

If

,

, and

are real numbers and if

Sum/Difference Rule:

Product Rule:

Constant Multiple Rule:

 

12Slide13

Properties of Limits as

 

THEOREM:

If

,

, and

are real numbers and if

Quotient Rule:

Power Rule: if

and

are integers,

, then

provided that

is a real number.

 

13Slide14

Properties of Limits as

 

These properties are analogous to the general properties of limits from the previous section

Again note that these are theorems that we can prove

Concerning th

e Power Rule, this means that we can do the following with radicals

 

14Slide15

Example 1: Looking for Horizontal Asymptotes

Find

and

.

 

15Slide16

Example 1: Looking for Horizontal Asymptotes

The method demonstrated here is very useful for finding limits at infinity of rational functions. We will divide all terms in the numerator and denominator by the largest power of

, then use the limit properties to evaluate (and the fact that

. This is the same as multiplying by

where

is the largest exponent.

 

16Slide17

Example 1: Looking for Horizontal Asymptotes

 

17Slide18

Example 1: Looking for Horizontal Asymptotes

 

18Slide19

Example 1: Looking for Horizontal Asymptotes

19Slide20

Example 2: Finding a Limit as

 

Use the Sandwich Theorem to find

 

20Slide21

Example 2: Finding a Limit as

 

We know that

If

, then

Now,

By the Sandwich Theorem,

 

21Slide22

Example 3: Using the Limit Properties for

 

Find

 

22Slide23

Example 3: Using the Limit Properties for

 

 

23Slide24

Infinite Limits as

 

When finding limits as

, we may say that we are finding limits “at infinity”

If, on the other hand, we wish to find a limit as

, where

is a real number, and if the function values increase/decrease without bound, then we may say we are finding “infinite limits”

We will write

if the function value increase without bound as

We will write

if the function values decrease without bound as

 

24Slide25

Infinite Limits as

 

Ordinarily, to write something like

makes no sense because infinity is not a number

However, if we define what this means (as we did in the previous slide), then we are allowed to use the above notation

Remember, though, that if function values increase/decrease without bound as

, then the limit

does not exist

It is sometimes desirable to know whether the function values continue to increase or continue to decrease without bound

 

25Slide26

Vertical Asymptotes

DEFINITION:

The line

is a

vertical asymptote of the graph of a function

if either

If

and

, then we may write

Note that in each case above, the limit DNE!

 

26Slide27

Example 4: Finding Vertical Asymptotes

Find the vertical asymptotes of

. Describe the behavior to the left and right of each vertical asymptote.

 

27Slide28

Example 4: Finding Vertical Asymptotes

Since

, then by the definition of vertical asymptotes this is sufficient to conclude that

is a vertical asymptote. However, it is also the case that

Therefore, whether approaching zero from the right or the left, the function values increase without bound. We can write

. (Is the same true of

?)

 

28Slide29

Example 5: Finding Vertical Asymptotes

Find all vertical asymptotes for the graph of

.

 

29Slide30

Example 5: Finding Vertical Asymptotes

Since

, then the asymptotes are found at all values of

where

. These occur at

; that is, at odd multiples of

. The asymptotes are at all values of

such that

where

is an integer.

For each value of

,

 

30Slide31

Example 5: Finding Vertical Asymptotes

31Slide32

End Behavior Models

By “end behavior” we mean

For some functions, we can use a simpler “model” of a function that has the same end behavior

That is, both functions approach the same value as

approaches positive or negative infinity

In the case of polynomial functions written in standard form, the lead term can be use to model end behavior

 

32Slide33

Example 6: Modeling Functions for

Large

 

Let

and

. Show that, while

and

are quite different for numerically small values of

, they are virtually identical for

large.

 

33Slide34

Example 6: Modeling Functions for

Large

 

34Slide35

Example 6: Modeling Functions for

Large

 

35Slide36

Example 6: Modeling Functions for

Large

 

If we take the limit of the ratio of the functions as

, we see that the limit approaches 1 (confirming what was seen in the graphs):

 

36Slide37

End Behavior Model

DEFINITION:

The function

is:a

right end behavior model for if and only if

a

left end behavior model

for

if and only if

If one function provides both a left and right end behavior model, it is simply called an

end behavior model

.

 

37Slide38

End Behavior Model

To clarify this definition, a function

is a right end behavior model for a function

if both functions have nearly similar values for “large enough” positive values of

A function is a left end behavior model for a function

if both functions have nearly similar values for “large enough” negative values of

Remember that an end behavior model lets us use a simpler function to model a more complex function as

For any polynomial function

, the function

is an end behavior model

 

38Slide39

Example 7: Finding End Behavior Models

Find an end behavior model for

 

39Slide40

Example 7: Finding End Behavior Models

Find an end behavior model for

Since

is an end behavior model for the numerator and

is an end behavior model for the denominator, then

is an end behavior model for

 

40Slide41

Example 7: Finding End Behavior Models

41Slide42

Example 7: Finding End Behavior Models

Find an end behavior model for

Since

is an end behavior model for the numerator and

is an end behavior model for the denominator, then

is an end behavior model for

 

42Slide43

Example 7: Finding End Behavior Models

43Slide44

Example 8: Finding End Behavior Models

Let

. Show that

is a right end behavior model for

while

is a left end behavior model for

.

 

44Slide45

Example 8: Finding End Behavior Models

Use the definition:

In the second example, evaluating

gives

. This is called an

indeterminate form

and we have not yet developed methods for finding such limits, so we will trust the graph for now.

 

45Slide46

Example 8: Finding End Behavior Models

46Slide47

Example 8: Finding End Behavior Models

47Slide48

Example 9: “Seeing” Limits as

 

Find

.

 

48Slide49

Example 9: “Seeing” Limits as

 

Find

.

We can prove that, for nearly all of the functions we will be using, if

then

What this means is that we can find the limit, then evaluate that value in

. This holds true for limits at infinity. Therefore

 

49Slide50

Example 9: “Seeing” Limits as

 

Find

.

Another way to approach this is to note that,

(which we can als0 prove). Now, if

This means that

 

50Slide51

Example 9: “Seeing” Limits as

 

51Slide52

Exercise 2.2

Online exercise 2.2

52