What is the Squeeze Theorem and How to Use It in Sequence Calculus Problems?

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In summary, the squeeze theorem is used for solving sequence calculus problems by finding two simple functions that the original function can be "squeezed" between. These simple functions should approach the same limit, and one side can be negative if needed. The function should be in the middle when finding the limit, but it is not necessary when finding upper or lower bounds. The theorem gets its name because the function is placed in the middle when finding limits of complicated functions.
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rcmango
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Homework Statement



using the squeeze theorem:

lim cosn / sqrt(n)
n -> infinity

Homework Equations



cos/n/sqrt(n) and 1/sqrt(n)

The Attempt at a Solution



I just have a question about the squeeze theorem.

From my understanding, when using the squeeze theorem for these time of sequence calculus problems, I am always going to have the original equation in the middle?

also, why does one side of the squeeze theorem need to be negative?
this sequence approaches 0.

heres the work:
-1/sqrt(n) <= cosn/sqrt(n) <= 1/sqrt(n)

and, if this happened to be sin instead of cosine, would i just put 0 on both sides of the <= instead of the equations.

thanks alot.
 
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  • #2
it doesn't have to be always negative on the LHS. The idea of the squeeze theorem is to find TWO "simple" functions that you can "squeeze" you function into. Simple in the sense that their limits are easy to evaluate. Of course, you need them to approach the same limit. In this case, you have a negative function -1/sqrt(n) because you know that Cos(n) is bounded by -1 (from below) and +1 (from above).

by the way, in your example n->0, function doesn't approach a finite value.

You need your function in the middle only when you want to find the limit of that function as it approaches some number. In other cases, such as when you just want to find some lower/upper bound (note: may not be the greatest lower or least upper bound) of your function then, you just need to restrict it on one side.

anyway squeezing theorem or sandwich theorem gets its name because you do put your function in the middle when finding limits of complicated function.
 
  • #3
thanks for all your help.
 

FAQ: What is the Squeeze Theorem and How to Use It in Sequence Calculus Problems?

What is the squeeze theorem?

The squeeze theorem, also known as the sandwich theorem or the pinching theorem, is a mathematical theorem that is used to prove the limit of a function. It states that if two functions f(x) and g(x) are bounded by a third function h(x) in a certain interval, and the limit of h(x) approaches a certain value as x approaches a certain point, then the limits of f(x) and g(x) must also approach that same value.

What is the importance of the squeeze theorem in mathematics?

The squeeze theorem is important in mathematics because it allows us to evaluate the limit of a function that may be difficult to compute directly. It is also used in calculus to prove the convergence of infinite series and to evaluate indeterminate forms.

How is the squeeze theorem applied in real-life situations?

The squeeze theorem has various real-life applications in physics, engineering, and economics. For example, it can be used to determine the velocity and acceleration of an object in motion, to estimate the value of a limit in economics, and to analyze the behavior of electrical circuits.

What are the conditions for using the squeeze theorem?

For the squeeze theorem to be applicable, the functions f(x), g(x), and h(x) must be defined on the same interval, and h(x) must be sandwiched between f(x) and g(x) in that interval. Additionally, the limit of h(x) must exist as x approaches the given point.

How do you use the squeeze theorem to prove a limit?

To prove a limit using the squeeze theorem, you must first identify the functions f(x), g(x), and h(x) that are bounded together. Then, you must show that the limit of h(x) approaches a certain value as x approaches a given point. Finally, you must use the squeeze theorem to show that the limits of f(x) and g(x) also approach that same value. If all three conditions are met, the limit is proven.

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