increases or decreases without bound.
increases or decreases without bound.
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
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.
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 [link] and numerically in [link], 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
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.
(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
([link]). For example, for the function
since
the line
is a horizontal asymptote of
If
or
we say 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 [link] intersects the horizontal asymptote
an infinite number of times as it oscillates around the asymptote with ever-decreasing amplitude.
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.
For each of the following functions
evaluate
and
Determine the horizontal asymptote(s) for
Similarly,
Therefore,
has a horizontal asymptote of
and
approaches this horizontal asymptote as
as shown in the following graph.
for all
we have
for all
Also, since
we can apply the squeeze theorem to conclude that
Similarly,
Thus,
has a horizontal asymptote of
and
approaches this horizontal asymptote as
as shown in the following graph.
and
we first consider the graph of
over the interval
as shown in the following graph.
Since
it follows that
Similarly, since
it follows that
As a result,
and
are horizontal asymptotes of
as shown in the following graph.
Evaluate
and
Determine the horizontal asymptotes of
if any.
Both limits are
The line
is a horizontal asymptote.
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 [link] and [link], as
the values
become arbitrarily large. Therefore,
On the other hand, as
the values of
are negative but become arbitrarily large in magnitude. Consequently,
(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
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.
(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 [link]).
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
![The function f(x) is graphed, and it has a horizontal asymptote at L. L is marked on the y axis, as is L + ॉ and L – ॉ. On the x axis, N is marked as the value of x such that f(x) = L + ॉ.](../resources/CNX_Calc_Figure_04_06_023.jpg “For a function with a limit at infinity, for all x>N, | f(x)−L | <ε.”){: #CNX_Calc_Figure_04_06_009} |
Earlier in this section, we used graphical evidence in [link] and numerical evidence in [link] to conclude that
Here we use the formal definition of limit at infinity to prove this result rigorously.
Use the formal definition of limit at infinity to prove that
Let
Let
Therefore, for all
we have
Use the formal definition of limit at infinity to prove that
Let
Let
Therefore, for all
we have
Therefore,
Let
We now turn our attention to a more precise definition for an infinite limit at infinity.
(Formal) We say a function
has an infinite limit at infinity and write
if for all
there exists an
such that
for all
(see [link]).
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
Earlier, we used graphical evidence ([link]) and numerical evidence ([link]) to conclude that
Here we use the formal definition of infinite limit at infinity to prove that result.
Use the formal definition of infinite limit at infinity to prove that
Let
Let
Then, for all
we have
Therefore,
Use the formal definition of infinite limit at infinity to prove that
Let
Let
Then, for all
we have
Let
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:
approaches a horizontal asymptote
or
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.
Consider the power function
where
is a positive integer. From [link] and [link], we see that
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
For each function
evaluate
and
is
the graph of
involves a vertical stretch and reflection of the graph of
about the
-axis. Therefore,
and
is
the graph of
is a vertical stretch of the graph of
Therefore,
and
Let
Find
The coefficient
is negative.
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 [link] and [link].
The end behavior for rational functions and functions involving radicals is a little more complicated than for polynomials. In [link], 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
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.)
in the denominator is
Therefore, dividing the numerator and denominator by
and applying the algebraic limit laws, we see that
Since
we know that
is a horizontal asymptote for this function as shown in the following graph.
appearing in the denominator is
divide the numerator and denominator by
After doing so and applying algebraic limit laws, we obtain
Therefore
has a horizontal asymptote of
as shown in the following graph.
we have
As
the denominator approaches
As
the numerator approaches
As
the numerator approaches
Therefore
whereas
as shown in the following figure.
Evaluate
and use these limits to determine the end behavior of
Divide the numerator and denominator by
Before proceeding, consider the graph of
shown in [link]. 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
([link]).
We can summarize the results of [link] to make the following conclusion regarding end behavior for rational functions. Consider a rational function
where
then
has a horizontal asymptote of
as
then
has a horizontal asymptote of
as
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.
Find the limits as
and
for
and describe the end behavior of
Let’s use the same strategy as we did for rational functions: divide the numerator and denominator by a power of
To determine the appropriate power of
consider the expression
in the denominator. Since
for large values of
in effect
appears just to the first power in the denominator. Therefore, we divide the numerator and denominator by
Then, using the fact that
for
for
and
for all
we calculate the limits as follows:
Therefore,
approaches the horizontal asymptote
as
and the horizontal asymptote
as
as shown in the following graph.
Evaluate
Divide the numerator and denominator by
The six basic trigonometric functions are periodic and do not approach a finite limit as
For example,
oscillates between
([link]). 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 [link].
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 [link] and [link].
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 [link] and [link].
Find the limits as
and
for
and describe the end behavior of
To find the limit as
divide the numerator and denominator by
As shown in [link],
as
Therefore,
We conclude that
and the graph of
approaches the horizontal asymptote
as
To find the limit as
use the fact that
as
to conclude that
and therefore the graph of approaches the horizontal asymptote
as
Find the limits as
and
for
and
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.
Given a function
use the following steps to sketch a graph of
- and
-intercepts.
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.
has any vertical asymptotes.
Find all critical points and determine the intervals where
is increasing and where
is decreasing. Determine whether
has any local extrema.
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.
Sketch a graph of
Step 1. Since
is a polynomial, the domain is the set of all real numbers.
Step 2. When
Therefore, the
-intercept is
To find the
-intercepts, we need to solve the equation
gives us the
-intercepts
and
Step 3. We need to evaluate the end behavior of
As
and
Therefore,
As
and
Therefore,
To get even more information about the end behavior of
we can multiply the factors of
When doing so, we see that
Since the leading term of
is
we conclude that
behaves like
as
Step 4. Since
is a polynomial function, it does not have any vertical asymptotes.
Step 5. The first derivative of
is
Therefore,
has two critical points:
Divide the interval
into the three smaller intervals:
and
Then, choose test points
and
from these intervals and evaluate the sign of
at each of these test points, as shown in the following table.
Interval | Test Point | Sign of Derivative |
Conclusion | |
{: valign=”top”} | ———- |
is increasing. | |
{: valign=”top”} |
is decreasing. | |
{: valign=”top”} |
is increasing. | {: valign=”top”}{: .unnumbered summary=”This table has four rows and four columns. The first row is a header row, and it reads Interval, Test Point, Sign of Derivative f’(x) = 3x2 – 3 = 3(x – 1)(x + 1), and Conclusion. Under the header row, the first column reads (−∞, −1), (−1, 1), and (1, ∞). The second column reads x = −2, x = 0, and x = 2. The third column reads (+)(−)(−) = +, (+)(−)(+) = −, and (+)(+)(+) = +. The fourth column reads f is increasing, f is decreasing, and f is increasing.” data-label=””}
From the table, we see that
has a local maximum at
and a local minimum at
Evaluating
at those two points, we find that the local maximum value is
and the local minimum value is
Step 6. The second derivative of
is
The second derivative is zero at
Therefore, to determine the concavity of
divide the interval
into the smaller intervals
and
and choose test points
and
to determine the concavity of
on each of these smaller intervals as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is concave down. | |
{: valign=”top”} |
is concave up. | {: valign=”top”}{: .unnumbered summary=”This table has three rows and four columns. The first row is a header row, and it reads Interval, Test Point, Sign of f’’(x) = 6x, and Conclusion. Under the header row, the first column reads (−∞, 0) and (0, ∞). The second column reads x = −1 and x = 1. The third column reads − and +. The fourth column reads f is concave down and f is concave up.” data-label=””}
We note that the information in the preceding table confirms the fact, found in step
that
has a local maximum at
and a local minimum at
In addition, the information found in step
—namely,
has a local maximum at
and a local minimum at
and
at those points—combined with the fact that
changes sign only at
confirms the results found in step
on the concavity of
Combining this information, we arrive at the graph of
shown in the following graph.
Sketch a graph of
is a fourth-degree polynomial.
Sketch the graph of
Step 1. The function
is defined as long as the denominator is not zero. Therefore, the domain is the set of all real numbers
except
Step 2. Find the intercepts. If
then
so
is an intercept. If
then
which implies
Therefore,
is the only intercept.
Step 3. Evaluate the limits at infinity. Since
is a rational function, divide the numerator and denominator by the highest power in the denominator:
We obtain
Therefore,
has a horizontal asymptote of
as
and
Step 4. To determine whether
has any vertical asymptotes, first check to see whether the denominator has any zeroes. We find the denominator is zero when
To determine whether the lines
or
are vertical asymptotes of
evaluate
and
By looking at each one-sided limit as
we see that
In addition, by looking at each one-sided limit as
we find that
Step 5. Calculate the first derivative:
Critical points occur at points
where
or
is undefined. We see that
when
The derivative
is not undefined at any point in the domain of
However,
are not in the domain of
Therefore, to determine where
is increasing and where
is decreasing, divide the interval
into four smaller intervals:
and
and choose a test point in each interval to determine the sign of
in each of these intervals. The values
and
are good choices for test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is decreasing. | |
{: valign=”top”} |
is decreasing. | |
{: valign=”top”} |
is increasing. | |
{: valign=”top”} |
is increasing. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and five rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’(x) = 2x/(1 − x2)2, and Conclusion. Under the header row, the first column reads (−∞, −1), (−1, 0), (0, 1), and (1, ∞). The second column reads x = −2, x = −1/2, x = 1/2, and x = 2. The third column reads −/+ = −, −/+ = −, +/+ = +, and +/+ = +. The fourth column reads f is decreasing, f is decreasing, f is increasing, and f is increasing.” data-label=””}
From this analysis, we conclude that
has a local minimum at
but no local maximum.
Step 6. Calculate the second derivative:
To determine the intervals where
is concave up and where
is concave down, we first need to find all points
where
or
is undefined. Since the numerator
for any
is never zero. Furthermore,
is not undefined for any
in the domain of
However, as discussed earlier,
are not in the domain of
Therefore, to determine the concavity of
we divide the interval
into the three smaller intervals
and
and choose a test point in each of these intervals to evaluate the sign of
in each of these intervals. The values
and
are possible test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is concave down. | |
{: valign=”top”} |
is concave up. | |
{: valign=”top”} |
is concave down. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and four rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’’(x) = (6x2 + 2)/(1 − x2)3, and Conclusion. Under the header row, the first column reads (−∞, −1), (−1, 1), and (1, ∞). The second column reads x = −2, x = 0, and x = 2. The third column reads +/− = −, +/+ = +, and +/− = −. The fourth column reads f is concave down, f is concave up, and f is concave down.” data-label=””}
Combining all this information, we arrive at the graph of
shown below. Note that, although
changes concavity at
and
there are no inflection points at either of these places because
is not continuous at
or
Sketch a graph of
A line
is a horizontal asymptote of
if the limit as
or the limit as
of
is
A line
is a vertical asymptote if at least one of the one-sided limits of
as
is
or
Sketch the graph of
Step 1. The domain of
is the set of all real numbers
except
Step 2. Find the intercepts. We can see that when
so
is the only intercept.
Step 3. Evaluate the limits at infinity. Since the degree of the numerator is one more than the degree of the denominator,
must have an oblique asymptote. To find the oblique asymptote, use long division of polynomials to write
Since
as
approaches the line
as
The line
is an oblique asymptote for
Step 4. To check for vertical asymptotes, look at where the denominator is zero. Here the denominator is zero at
Looking at both one-sided limits as
we find
Therefore,
is a vertical asymptote, and we have determined the behavior of
as
approaches
from the right and the left.
Step 5. Calculate the first derivative:
We have
when
Therefore,
and
are critical points. Since
is undefined at
we need to divide the interval
into the smaller intervals
and
and choose a test point from each interval to evaluate the sign of
in each of these smaller intervals. For example, let
and
be the test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is increasing. | |
{: valign=”top”} |
is decreasing. | |
{: valign=”top”} |
is decreasing. | |
{: valign=”top”} |
is increasing. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and five rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’(x) = (x2 − 2x)/(x − 1)2 = x(x − 2)/(x − 1)2, and Conclusion. Under the header row, the first column reads (−∞, 0), (0, 1), (1, 2), and (2, ∞). The second column reads x = −1, x = 1/2, x = 3/2, and x = 3. The third column reads (−)(−)/+ = +, (+)(−)/+ = −, (+)(−)/+ = −, and (+)(+)/+ = +. The fourth column reads f is increasing, f is decreasing, f is decreasing, and f is increasing.” data-label=””}
From this table, we see that
has a local maximum at
and a local minimum at
The value of
at the local maximum is
and the value of
at the local minimum is
Therefore,
and
are important points on the graph.
Step 6. Calculate the second derivative:
We see that
is never zero or undefined for
in the domain of
Since
is undefined at
to check concavity we just divide the interval
into the two smaller intervals
and
and choose a test point from each interval to evaluate the sign of
in each of these intervals. The values
and
are possible test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is concave down. | |
{: valign=”top”} |
is concave up. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and three rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’’(x) = 2/(x − 1)3, and Conclusion. Under the header row, the first column reads (−∞, 1) and (1, ∞). The column row reads x = 0 and x = 2. The third column reads +/− = − and +/+ = +. The fourth column reads f is concave down and f is concave up.” data-label=””}
From the information gathered, we arrive at the following graph for
Find the oblique asymptote for
Use long division of polynomials.
Sketch a graph of
Step 1. Since the cube-root function is defined for all real numbers
and
the domain of
is all real numbers.
Step 2: To find the
-intercept, evaluate
Since
the
-intercept is
To find the
-intercept, solve
The solution of this equation is
so the
-intercept is
Step 3: Since
the function continues to grow without bound as
and
Step 4: The function has no vertical asymptotes.
Step 5: To determine where
is increasing or decreasing, calculate
We find
This function is not zero anywhere, but it is undefined when
Therefore, the only critical point is
Divide the interval
into the smaller intervals
and
and choose test points in each of these intervals to determine the sign of
in each of these smaller intervals. Let
and
be the test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is decreasing. | |
{: valign=”top”} |
is increasing. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and three rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’(x) = 2/(3(x − 1)1/3), and Conclusion. Under the header row, the first column reads (−∞, 1) and (1, ∞). The second column reads x = 0 and x = 2. The third column reads +/− = − and +/+ = +. The fourth column reads f is decreasing and f is increasing.” data-label=””}
We conclude that
has a local minimum at
Evaluating
at
we find that the value of
at the local minimum is zero. Note that
is undefined, so to determine the behavior of the function at this critical point, we need to examine
Looking at the one-sided limits, we have
Therefore,
has a cusp at
Step 6: To determine concavity, we calculate the second derivative of
We find that
is defined for all
but is undefined when
Therefore, divide the interval
into the smaller intervals
and
and choose test points to evaluate the sign of
in each of these intervals. As we did earlier, let
and
be test points as shown in the following table.
Interval | Test Point | Sign of |
Conclusion | |
{: valign=”top”} | ———- |
is concave down. | |
{: valign=”top”} |
is concave down. | {: valign=”top”}{: .unnumbered summary=”This table has four columns and three rows. The first row is a header row, and it reads Interval, Test Point, Sign of f’’(x) = −2/(9(x − 1)4/3), and Conclusion. Under the header row, the first column reads (−∞, 1) and (1, ∞). The second column reads x = 0 and x = 2. The third column reads −/+ = − and −/+ = −. The fourth column reads f is concave down and f is concave down.” data-label=””}
From this table, we conclude that
is concave down everywhere. Combining all of this information, we arrive at the following graph for
Consider the function
Determine the point on the graph where a cusp is located. Determine the end behavior of
The function
has a cusp at
For end behavior,
A function
has a cusp at a point
if
exists,
is undefined, one of the one-sided limits as
of
is
and the other one-sided limit is
is
as
(or as
if the values
become arbitrarily close to
as
becomes sufficiently large.
is
as
if
becomes arbitrarily large as
becomes sufficiently large. The limit of
is
as
if
and
becomes arbitrarily large as
becomes sufficiently large. We can define the limit of
as
approaches
similarly.
where
the end behavior is determined by the leading term
If
approaches
or
at each end.
the end behavior is determined by the relationship between the degree of
and the degree of
If the degree of
is less than the degree of
the line
is a horizontal asymptote for
If the degree of
is equal to the degree of
then the line
is a horizontal asymptote, where
and
are the leading coefficients of
and
respectively. If the degree of
is greater than the degree of
then
approaches
or
at each end.
For the following exercises, examine the graphs. Identify where the vertical asymptotes are located.
For the following functions
determine whether there is an asymptote at
Justify your answer without graphing on a calculator.
Yes, there is a vertical asymptote
Yes, there is vertical asymptote
For the following exercises, evaluate the limit.
For the following exercises, find the horizontal and vertical asymptotes.
Horizontal: none, vertical:
Horizontal: none, vertical:
Horizontal: none, vertical: none
Horizontal:
vertical:
Horizontal:
vertical:
and
Horizontal:
vertical:
Horizontal: none, vertical: none
For the following exercises, construct a function
that has the given asymptotes.
and
Answers will vary, for example:
and
Answers will vary, for example:
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.
[T]
[T]
[T]
[T]
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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.
on
For
to have an asymptote at
then the polynomials
and
must have what relation?
For
to have an asymptote at
then the polynomials
and
must have what relation?
The degree of
must be greater than the degree of
.
If
has asymptotes at
and
then
has what asymptotes?
Both
and
have asymptotes at
and
What is the most obvious difference between these two functions?
True or false: Every ratio of polynomials has vertical asymptotes.
and
or
then
is a horizontal asymptote of
or
if
approaches it as
or
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