Silly Squeeze Theorem Question lim (cos(x))

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In summary: Thanks for the response!In summary, the author is reviewing the Sandwich Theorem and provides an example of how it applies. They are having trouble seeing the transition in the last two steps and a counter example is given. The author stands corrected when they realize that if for every positive epsilon there exists a positive delta such that |1 - cosx| < \epsilon whenever |x| < \delta , then cos(x) is continuous at x = 0.
  • #1
Saladsamurai
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Homework Statement



Hoowwwwdddyyyyyy!

I am reviewing some Calculus and was going over the Sandwich Theorem. It's delicious.

An example that they give is: From the definition of cos[itex]\theta[/itex], [itex]0\le 1-\cos\theta\le |\theta|[/itex] for all theta. and we have

[tex]\lim_{\theta\rightarrow 0}(1-\cos\theta)=0[/tex] or

[tex]\lim_{\theta\rightarrow 0}\cos\theta = 1[/tex]

I am having trouble seeing the transition in the last two steps. How does

[tex]\lim_{\theta\rightarrow 0}(1-\cos\theta)=0 \Rightarrow

\lim_{\theta\rightarrow 0}\cos\theta = 1[/tex] ?

Thanks! :smile:
 
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  • #2
[tex]
\lim_{\theta\rightarrow 0}(1-\cos\theta)= \lim_{\theta \rightarrow 0} 1 - \lim_{\theta \rightarrow 0} cos\theta [/tex] and since [tex] \lim_{\theta \rightarrow 0} (1 - cos\theta) = 0 [/tex], we have [tex] \lim_{\theta \rightarrow 0} cos\theta = \lim_{\theta \rightarrow 0} 1 = 1 [/tex]
 
  • #3
JG89 said:
[tex]
\lim_{\theta\rightarrow 0}(1-\cos\theta)= \lim_{\theta \rightarrow 0} 1 - \lim_{\theta \rightarrow 0} cos\theta [/tex] and since [tex] \lim_{\theta \rightarrow 0} (1 - cos\theta) = 0 [/tex], we have [tex] \lim_{\theta \rightarrow 0} cos\theta = \lim_{\theta \rightarrow 0} 1 = 1 [/tex]

Awwww man! Oldest trick in the book! Can't believe I didn't see that! Thanks JG89! :smile:
 
  • #4
Here's another way to look at it:

If [tex] \lim_{\theta \rightarrow 0} (1 - cos\theta) = 0 [/tex] then for all positive epsilon there exists a positive delta such that [tex] |1 - cos\theta| < \epsilon [/tex] whenever [tex] |\theta| < \delta [/tex].

Note that [tex] |1 - cos\theta| = |(1 - cos\theta) - 0| < \epsilon [/tex]. So this statement says that for theta approaching 0, [tex] 1 - cos\theta [/tex] goes to 0, or since |1 - cos(theta) - 0| = |1 - cos(theta)|, that cos(theta) goes to 1.
 
  • #5
If [tex]\lim_{x\rightarrow a} f(x) = L[/tex] and [tex]\lim_{x\rightarrow a} g(x) = M[/tex], then [tex]\lim_{x\rightarrow a} (f + g)(x) = L + M[/tex]. It is then a simple corollary that [tex]\lim_{x\rightarrow a} f(x) = L[/tex] if and only if [tex]\lim_{x\rightarrow a}(f(x) - L) = 0[/tex]. (The same theorem is used to prove both ways; apply it creatively).
 
  • #6
JG89 said:
[tex]
\lim_{\theta\rightarrow 0}(1-\cos\theta)= \lim_{\theta \rightarrow 0} 1 - \lim_{\theta \rightarrow 0} cos\theta [/tex] and since [tex] \lim_{\theta \rightarrow 0} (1 - cos\theta) = 0 [/tex], we have [tex] \lim_{\theta \rightarrow 0} cos\theta = \lim_{\theta \rightarrow 0} 1 = 1 [/tex]

Note that the passage from the first equation to the second is only valid in if you already know that the [tex]\lim_{x\rightarrow 0} \cos x[/tex] exists, something you would have to argue or show separately.
 
  • #7
Well if the limit as x approaches 0 of 1 - cos(x) exists, something which is being assumed in the OP's question, of course the limit of cos(x) exists.
 
  • #8
JG89 said:
Well if the limit as x approaches 0 of 1 - cos(x) exists, something which is being assumed in the OP's question, of course the limit of cos(x) exists.

This is not true! Consider f(x) to be -1 for x in (-oo, 0) and 1 for x in [0, oo) and let g(x) be 1 for x in (-oo, 0] and -1 for x in (0, oo). Then as x approaches 0, (f + g)(x) approaches 0 as well, but individually the limits of f and g do not even exist at 0!
To bridge the step in your theorem, you must either know or prove beforehand that cos(x) is continuous at 0 or that it at least has a limit there.
 
  • #9
I stand corrected. Thanks for the counter example!
 
  • #10
Though in my defense, if for every positive epsilon there exists a positive delta such that [tex] |1 - cosx| < \epsilon [/tex] whenever [tex] |x| < \delta [/tex], then since cos(0) = 1, then we have [tex] |1 - cosx| = | cos0 - cosx| < \epsilon [/tex] if [tex] |x| < \delta [/tex], which means cos(x) is continuous at x = 0, so it must possesses a limit there.
 
  • #11
JG89 said:
Though in my defense, if for every positive epsilon there exists a positive delta such that [tex] |1 - cosx| < \epsilon [/tex] whenever [tex] |x| < \delta [/tex], then since cos(0) = 1, then we have [tex] |1 - cosx| = | cos0 - cosx| < \epsilon [/tex] if [tex] |x| < \delta [/tex], which means cos(x) is continuous at x = 0, so it must possesses a limit there.

Nice argument!
 

1. What is the Silly Squeeze Theorem?

The Silly Squeeze Theorem is a mathematical concept used to determine the limit of a function by comparing it to two other functions with known limits. It is also known as the Squeeze Theorem or the Sandwich Theorem.

2. How is the Silly Squeeze Theorem applied to the function lim (cos(x))?

In the case of the function lim (cos(x)), the Silly Squeeze Theorem can be applied by finding two other functions, f(x) and g(x), such that f(x) ≤ cos(x) ≤ g(x) for all values of x. Then, if the limits of f(x) and g(x) as x approaches the same value are equal, then the limit of cos(x) as x approaches that value will also be equal to that value.

3. What is the purpose of using the Silly Squeeze Theorem in this example?

The purpose of using the Silly Squeeze Theorem in this example is to find the limit of the function lim (cos(x)) without directly evaluating it. This can be useful when the limit cannot be easily evaluated, but can be sandwiched between two other functions with known limits.

4. Can the Silly Squeeze Theorem be used for other functions besides lim (cos(x))?

Yes, the Silly Squeeze Theorem can be used for any function where it is possible to find two other functions that sandwich it and have known limits. It is commonly used in calculus to evaluate limits that are otherwise difficult to determine.

5. Are there any limitations to using the Silly Squeeze Theorem?

While the Silly Squeeze Theorem can be a useful tool in determining limits, it does have its limitations. It can only be used when there are two other functions that can be used to sandwich the given function, and it may not always provide an exact answer. Additionally, it cannot be used if the function being evaluated is not continuous on the interval being considered.

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