The previous page introduced dominant term analysis as a technique to evaluate limits at infinity. This approach can also be applied to exponential and logarithmic functions by comparing their growth rates to those of polynomials.
As you move from left to right on their graphs, exponential functions like grow faster than any polynomial (visualize the graph), while logarithmic functions increase more slowly than any power of .
1. Evaluate .
Answer:
Direct substitution results in the indeterminate form so we need to analyze the behavior of the function.
Because exponential functions grow at a faster rate than polynomials, the in the denominator dominates and the numerator is negligible as .
This is like a case 1 situation from the horizontal asymptotes section on the previous page, and the entire function tends toward the bigger gets.
2. Evaluate .
Answer:
As approaches , approaches 0 so does not dominate in this case. Though not entirely proper, this trick of “plugging in” for can help with understanding each piece more clearly:
:
:
divided by a very small positive number results in . This is like a case 3 situation where the numerator dominates.
3. Let
Evaluate:
a)
b)
a)
b)
a)
In the numerator, dominates (grows faster than ).
In the denominator, dominates.
Then
But as , the fraction is continuously multiplied by itself, and the overall value is decreasing. Therefore. the limit is .
b)
This time, neither nor dominate because as , both of those approach 0, as does . Then the expression can be reduced to
4. Find
Answer:
is a power function and still grows more quickly than . For large , the denominator dominates and is negligible. This is like a case 1 situation and the function shrinks to 0.
Also known as the sandwich theorem, this theorem helps evaluate limits that seem complicated at first glance by “squeezing” the function between two others with known limits. The theorem is:

Suppose and .
If is a function such that for , find .
Because we’re given that is “squeezed” between and for all near the point of interest , we just need to find if and both equal the same value.
Since , and is squeezed between them, is “forced” to be .
The Squeeze theorem is particularly useful for limits involving more complicated trigonometric functions.
For example, to find , notice that direct substitution results in as a component (function is undefined at ) and the previous techniques covered don’t suffice to resolve this.
Instead, use the fact that the output values of a cosine function of amplitude 1 are always squeezed between -1 and 1:
Then multiplying by ,
Since and , by the Squeeze Theorem:
There are two special trig limits that can be proved using the squeeze theorem (although the proof won’t be shown here) since direct substitution results in the indeterminate form .
A common variation of these involves a change in the argument of the sine function. For example,
1. Evaluate
Using the substitution will help you rewrite the expression in a form that more clearly mirrors . It’s important to note that from the substitution, and as , as well. Then the limit can be rewritten as:
Give it a try:
2. Evaluate
This one is different because there is no variable outside of the sine arguments. Instead, we’ll have to create our own. The limit can be separated into
With a bit of algebraic manipulation (multiplying by a giant one), we can turn each into the special limit:
1. Evaluate
Using substitution, let the argument
As .
Notice that the denominator
which is .
Then the limit becomes
2. Evaluate
First, factor the denominator:
Separate into form:
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