Show That the Function F X X4sin 1 x 0 is Continuous on infinity Infinity
Learning Objectives
- 4.6.1 Calculate the limit of a function as increases or decreases without bound.
- 4.6.2 Recognize a horizontal asymptote on the graph of a function.
- 4.6.3 Estimate the end behavior of a function as increases or decreases without bound.
- 4.6.4 Recognize an oblique asymptote on the graph of a function.
- 4.6.5 Analyze a function and its derivatives to draw its graph.
We have shown how to use the first and second derivatives of a function to describe the shape of a graph. To graph a function defined on an unbounded domain, we also need to know the behavior of as In this section, we define limits at infinity and show how these limits affect the graph of a function. At the end of this section, we outline a strategy for graphing an arbitrary function
Limits at Infinity
We begin by examining what it means for a function to have a finite limit at infinity. Then we study the idea of a function with an infinite limit at infinity. Back in Introduction to Functions and Graphs, we looked at vertical asymptotes; in this section we deal with horizontal and oblique asymptotes.
Limits at Infinity and Horizontal Asymptotes
Recall that means becomes arbitrarily close to as long as is sufficiently close to We can extend this idea to limits at infinity. For example, consider the function As can be seen graphically in Figure 4.40 and numerically in Table 4.2, as the values of get larger, the values of approach We say the limit as approaches of is and write Similarly, for as the values get larger, the values of approaches We say the limit as approaches of is and write
Figure 4.40 The function approaches the asymptote as approaches
Table 4.2 Values of a function as
More generally, for any function we say the limit as of is if becomes arbitrarily close to as long as is sufficiently large. In that case, we write Similarly, we say the limit as of is if becomes arbitrarily close to as long as and is sufficiently large. In that case, we write We now look at the definition of a function having a limit at infinity.
Definition
(Informal) If the values of become arbitrarily close to as becomes sufficiently large, we say the function has a limit at infinity and write
If the values of becomes arbitrarily close to for as becomes sufficiently large, we say that the function has a limit at negative infinity and write
If the values are getting arbitrarily close to some finite value as or the graph of approaches the line In that case, the line is a horizontal asymptote of (Figure 4.41). For example, for the function since the line is a horizontal asymptote of
Definition
If or we say the line is a horizontal asymptote of
Figure 4.41 (a) As the values of are getting arbitrarily close to The line is a horizontal asymptote of (b) As the values of are getting arbitrarily close to The line is a horizontal asymptote of
A function cannot cross a vertical asymptote because the graph must approach infinity (or from at least one direction as approaches the vertical asymptote. However, a function may cross a horizontal asymptote. In fact, a function may cross a horizontal asymptote an unlimited number of times. For example, the function shown in Figure 4.42 intersects the horizontal asymptote an infinite number of times as it oscillates around the asymptote with ever-decreasing amplitude.
Figure 4.42 The graph of crosses its horizontal asymptote an infinite number of times.
The algebraic limit laws and squeeze theorem we introduced in Introduction to Limits also apply to limits at infinity. We illustrate how to use these laws to compute several limits at infinity.
Example 4.21
Computing Limits at Infinity
For each of the following functions evaluate and Determine the horizontal asymptote(s) for
Checkpoint 4.20
Evaluate and Determine the horizontal asymptotes of if any.
Infinite Limits at Infinity
Sometimes the values of a function become arbitrarily large as (or as In this case, we write (or On the other hand, if the values of are negative but become arbitrarily large in magnitude as (or as we write (or
For example, consider the function As seen in Table 4.3 and Figure 4.47, as the values become arbitrarily large. Therefore, On the other hand, as the values of are negative but become arbitrarily large in magnitude. Consequently,
Table 4.3 Values of a power function as
Figure 4.47 For this function, the functional values approach infinity as
Definition
(Informal) We say a function has an infinite limit at infinity and write
if becomes arbitrarily large for sufficiently large. We say a function has a negative infinite limit at infinity and write
if and becomes arbitrarily large for sufficiently large. Similarly, we can define infinite limits as
Formal Definitions
Earlier, we used the terms arbitrarily close, arbitrarily large, and sufficiently large to define limits at infinity informally. Although these terms provide accurate descriptions of limits at infinity, they are not precise mathematically. Here are more formal definitions of limits at infinity. We then look at how to use these definitions to prove results involving limits at infinity.
Definition
(Formal) We say a function has a limit at infinity, if there exists a real number such that for all there exists such that
for all In that case, we write
(see Figure 4.48).
We say a function has a limit at negative infinity if there exists a real number such that for all there exists such that
for all In that case, we write
Figure 4.48 For a function with a limit at infinity, for all
Earlier in this section, we used graphical evidence in Figure 4.40 and numerical evidence in Table 4.2 to conclude that Here we use the formal definition of limit at infinity to prove this result rigorously.
Example 4.22
A Finite Limit at Infinity Example
Use the formal definition of limit at infinity to prove that
Checkpoint 4.21
Use the formal definition of limit at infinity to prove that
We now turn our attention to a more precise definition for an infinite limit at infinity.
Definition
(Formal) We say a function has an infinite limit at infinity and write
if for all there exists an such that
for all (see Figure 4.49).
We say a function has a negative infinite limit at infinity and write
if for all there exists an such that
for all
Similarly we can define limits as
Figure 4.49 For a function with an infinite limit at infinity, for all
Earlier, we used graphical evidence (Figure 4.47) and numerical evidence (Table 4.3) to conclude that Here we use the formal definition of infinite limit at infinity to prove that result.
Example 4.23
An Infinite Limit at Infinity
Use the formal definition of infinite limit at infinity to prove that
Checkpoint 4.22
Use the formal definition of infinite limit at infinity to prove that
End Behavior
The behavior of a function as is called the function's end behavior. At each of the function's ends, the function could exhibit one of the following types of behavior:
- The function approaches a horizontal asymptote
- The function or
- The function does not approach a finite limit, nor does it approach or In this case, the function may have some oscillatory behavior.
Let's consider several classes of functions here and look at the different types of end behaviors for these functions.
End Behavior for Polynomial Functions
Consider the power function where is a positive integer. From Figure 4.50 and Figure 4.51, we see that
and
Figure 4.50 For power functions with an even exponent of
Figure 4.51 For power functions with an odd exponent of and
Using these facts, it is not difficult to evaluate and where is any constant and is a positive integer. If the graph of is a vertical stretch or compression of and therefore
If the graph of is a vertical stretch or compression combined with a reflection about the -axis, and therefore
If in which case
Example 4.24
Limits at Infinity for Power Functions
For each function evaluate and
Checkpoint 4.23
Let Find
We now look at how the limits at infinity for power functions can be used to determine for any polynomial function Consider a polynomial function
of degree so that Factoring, we see that
As all the terms inside the parentheses approach zero except the first term. We conclude that
For example, the function behaves like as as shown in Figure 4.52 and Table 4.4.
Figure 4.52 The end behavior of a polynomial is determined by the behavior of the term with the largest exponent.
Table 4.4 A polynomial's end behavior is determined by the term with the largest exponent.
End Behavior for Algebraic Functions
The end behavior for rational functions and functions involving radicals is a little more complicated than for polynomials. In Example 4.25, we show that the limits at infinity of a rational function depend on the relationship between the degree of the numerator and the degree of the denominator. To evaluate the limits at infinity for a rational function, we divide the numerator and denominator by the highest power of appearing in the denominator. This determines which term in the overall expression dominates the behavior of the function at large values of
Example 4.25
Determining End Behavior for Rational Functions
For each of the following functions, determine the limits as and Then, use this information to describe the end behavior of the function.
- (Note: The degree of the numerator and the denominator are the same.)
- (Note: The degree of numerator is less than the degree of the denominator.)
- (Note: The degree of numerator is greater than the degree of the denominator.)
Checkpoint 4.24
Evaluate and use these limits to determine the end behavior of
Before proceeding, consider the graph of shown in Figure 4.56. As and the graph of appears almost linear. Although is certainly not a linear function, we now investigate why the graph of seems to be approaching a linear function. First, using long division of polynomials, we can write
Since as we conclude that
Therefore, the graph of approaches the line as This line is known as an oblique asymptote for (Figure 4.56).
Figure 4.56 The graph of the rational function approaches the oblique asymptote
We can summarize the results of Example 4.25 to make the following conclusion regarding end behavior for rational functions. Consider a rational function
where
- If the degree of the numerator is the same as the degree of the denominator then has a horizontal asymptote of as
- If the degree of the numerator is less than the degree of the denominator then has a horizontal asymptote of as
- If the degree of the numerator is greater than the degree of the denominator then does not have a horizontal asymptote. The limits at infinity are either positive or negative infinity, depending on the signs of the leading terms. In addition, using long division, the function can be rewritten as
where the degree of is less than the degree of As a result, Therefore, the values of approach zero as If the degree of is exactly one more than the degree of the function is a linear function. In this case, we call an oblique asymptote.
Now let's consider the end behavior for functions involving a radical.
Example 4.26
Determining End Behavior for a Function Involving a Radical
Find the limits as and for and describe the end behavior of
Checkpoint 4.25
Evaluate
Determining End Behavior for Transcendental Functions
The six basic trigonometric functions are periodic and do not approach a finite limit as For example, oscillates between (Figure 4.58). The tangent function has an infinite number of vertical asymptotes as therefore, it does not approach a finite limit nor does it approach as as shown in Figure 4.59.
Figure 4.58 The function oscillates between as
Figure 4.59 The function does not approach a limit and does not approach as
Recall that for any base the function is an exponential function with domain and range If is increasing over If is decreasing over For the natural exponential function Therefore, is increasing on and the range is The exponential function approaches as and approaches as as shown in Table 4.5 and Figure 4.60.
Table 4.5 End behavior of the natural exponential function
Figure 4.60 The exponential function approaches zero as and approaches as
Recall that the natural logarithm function is the inverse of the natural exponential function Therefore, the domain of is and the range is The graph of is the reflection of the graph of about the line Therefore, as and as as shown in Figure 4.61 and Table 4.6.
Table 4.6 End behavior of the natural logarithm function
Figure 4.61 The natural logarithm function approaches as
Example 4.27
Determining End Behavior for a Transcendental Function
Find the limits as and for and describe the end behavior of
Checkpoint 4.26
Find the limits as and for
Guidelines for Drawing the Graph of a Function
We now have enough analytical tools to draw graphs of a wide variety of algebraic and transcendental functions. Before showing how to graph specific functions, let's look at a general strategy to use when graphing any function.
Problem-Solving Strategy
Problem-Solving Strategy: Drawing the Graph of a Function
Given a function use the following steps to sketch a graph of
- Determine the domain of the function.
- Locate the - and -intercepts.
- Evaluate and to determine the end behavior. If either of these limits is a finite number then is a horizontal asymptote. If either of these limits is or determine whether has an oblique asymptote. If is a rational function such that where the degree of the numerator is greater than the degree of the denominator, then can be written as
where the degree of is less than the degree of The values of approach the values of as If is a linear function, it is known as an oblique asymptote. - Determine whether has any vertical asymptotes.
- Calculate Find all critical points and determine the intervals where is increasing and where is decreasing. Determine whether has any local extrema.
- Calculate Determine the intervals where is concave up and where is concave down. Use this information to determine whether has any inflection points. The second derivative can also be used as an alternate means to determine or verify that has a local extremum at a critical point.
Now let's use this strategy to graph several different functions. We start by graphing a polynomial function.
Example 4.28
Sketching a Graph of a Polynomial
Sketch a graph of
Checkpoint 4.27
Sketch a graph of
Example 4.29
Sketching a Rational Function
Sketch the graph of
Checkpoint 4.28
Sketch a graph of
Example 4.30
Sketching a Rational Function with an Oblique Asymptote
Sketch the graph of
Checkpoint 4.29
Find the oblique asymptote for
Example 4.31
Sketching the Graph of a Function with a Cusp
Sketch a graph of
Checkpoint 4.30
Consider the function Determine the point on the graph where a cusp is located. Determine the end behavior of
Section 4.6 Exercises
For the following exercises, examine the graphs. Identify where the vertical asymptotes are located.
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For the following functions determine whether there is an asymptote at Justify your answer without graphing on a calculator.
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For the following exercises, evaluate the limit.
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For the following exercises, find the horizontal and vertical asymptotes.
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For the following exercises, construct a function that has the given asymptotes.
For the following exercises, graph the function on a graphing calculator on the window and estimate the horizontal asymptote or limit. Then, calculate the actual horizontal asymptote or limit.
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For the following exercises, draw a graph of the functions without using a calculator. Be sure to notice all important features of the graph: local maxima and minima, inflection points, and asymptotic behavior.
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on
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For to have an asymptote at then the polynomials and must have what relation?
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For to have an asymptote at then the polynomials and must have what relation?
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If has asymptotes at and then has what asymptotes?
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Both and have asymptotes at and What is the most obvious difference between these two functions?
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True or false: Every ratio of polynomials has vertical asymptotes.
Source: https://openstax.org/books/calculus-volume-1/pages/4-6-limits-at-infinity-and-asymptotes
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