Special limits
Growth of exponential and logarithmic functions
The previous page introduced dominant term analysis as a technique for evaluating limits at infinity. You can use the same idea with 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, while logarithmic functions like increase more slowly than any power of .
Examples
- Evaluate .
Solution
Answer:
Direct substitution gives the indeterminate form , so we need to compare growth rates.
As , the exponential grows faster than the polynomial . That means the denominator dominates, and the fraction gets closer and closer to .
This matches a case 1 situation from the horizontal asymptotes section: the denominator dominates, so the limit is .
- Evaluate .
Solution
Answer:
As , the pieces behave like this:
- (a very small positive number)
So we have a very large negative number divided by a very small positive number, which becomes unbounded in the negative direction. Therefore,
This matches a case 3 situation: the numerator dominates because the denominator shrinks toward .
- Let
Evaluate:
a)
b)
Answers
a)
b)
Solutions
a)
As :
- In the numerator, dominates and the constant .
- In the denominator, dominates the constant .
So the limit behaves like
Because , repeated multiplication by makes the expression shrink toward . Therefore, the limit is .
b)
As , we have , , and . Substituting those end behaviors into the expression gives
- Find
Answer:
Rewrite as . Any power of (like ) grows faster than as . So the denominator dominates and the fraction approaches .
This is another case 1 situation: the denominator dominates, so the limit is .
Squeeze theorem
Also called the sandwich theorem, the Squeeze theorem helps you evaluate limits by trapping a function between two others whose limits you already know.
Example
Suppose and .
If is a function such that for , find .
Solution
Because near , the Squeeze theorem says we just need to check whether and approach the same value as .
- :
- :
Since both limits equal , and stays between and , the limit is forced to be
The Squeeze theorem is especially useful for limits involving oscillating trigonometric expressions.
For example, consider
Direct substitution would involve , which is undefined, so we need a different approach.
A cosine function with amplitude 1 always stays between and :
Multiply all three parts by :
As , both bounding functions go to :
So by the Squeeze theorem,
Special trigonometric limits
There are two standard trigonometric limits (often proved using the Squeeze theorem). In both cases, direct substitution gives the indeterminate form .
A common variation changes the argument of the sine function. For example,
- Evaluate
Solution
Using the substitution rewrites the expression so it matches the standard form .
From , we have . Also, as , we have .
Rewrite the limit:
Give it a try:
- Evaluate
Solution
Here, there is no outside the sine functions, so we create the special limit forms by multiplying by and .
Start by rewriting the expression as a product:
Now multiply by 1 in two helpful ways:
Group terms to form the standard limits:
Now apply the special limit :
Challenge problems
- Evaluate
Solution
Using substitution, let the argument
As .
Notice that the denominator satisfies
which is .
Then the limit becomes
- Evaluate
Solution
First, factor the denominator:
Now separate out a factor:
Apply the special limit and then substitute into the remaining factor:
