Proving the limit does not exist formally

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In summary, the conversation discusses the difficulty of disproving a limit using epsilon-delta definition. The definition is stated and the negation is also explained. The conversation also discusses a general procedure for finding an epsilon and an example is given for disproving a limit using the given definition. It is emphasized that these proofs can be very tricky.
  • #1
NATURE.M
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So I've searched around quite a bit, and have been fairly unsuccessful when it comes to finding any sufficient material on disproving a limit using the epsilon delta def. I was wondering if any of you could recommend any good sources for learning how to disprove a limit using epsilon delta.
 
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  • #2
Both proving and disproving specific limits, for example to come up with narrow error estimates of the limit value, is generally an extremely tricky business.
 
  • #3
Recall the definition of ##\lim_{x\rightarrow c}f(x) = l##
$$\forall \epsilon > 0\ \exists\ \delta > 0 \ such\ that\ 0<|x-c|<\delta \implies |f(x) - l| < \epsilon$$
Say that is it not true that ##lim_{x\rightarrow c}f(x) = l## this means
$$\exists \epsilon > 0\ \forall\ \delta > 0\ , there\ is\ x\ satisfying\ 0< |x-c| < \delta \ but\ |f(x) - l| >= \epsilon$$
 
  • #4
DarthRoni said:
Recall the definition of ##\lim_{x\rightarrow c}f(x) = l##
$$\forall \epsilon > 0\ \exists\ \delta > 0 \ such\ that\ 0<|x-c|<\delta \implies |f(x) - l| < \epsilon$$
Say that is it not true that ##lim_{x\rightarrow c}f(x) = l## this means
$$\exists \epsilon > 0\ \forall\ \delta > 0\ , there\ is\ x\ satisfying\ 0< |x-c| < \delta \ but\ |f(x) - l| >= \epsilon$$

I understand the negation of the epsilon-delta statement, but you could say is there a particular way to approach such a task. When your trying to find an epsilon is there a general procedure you could perform. Or does it really just always change from limit to limit.
 
  • #5
Here's an example:
Disprove ##\lim_{x \rightarrow c}x+2 = c##
we want to show for some ##\epsilon > 0## then ##\forall \delta>0##
$$|x-c|<\delta \implies |(x+2) - c| >= \epsilon $$
We know
$$|(x+2) - c| = |(x-c) + 2|$$
And let's say $$|x-c|<1$$
Because remember that we are trying to show that there is an x in which the definition falls apart. So,
$$-1 < x -c < 1 \implies |(x-c) + 2| > |-1 + 2| = 1$$
So we can say that any ##\epsilon < 1## works. Notice that I chose |x-c| to be smaller than 2.
HINT: really any ##\epsilon < 2## works
EDIT: Just as arildno said, theses proofs can get REALLY tricky.
 
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What is a limit in mathematics?

A limit in mathematics is a value that a function or sequence approaches as the input or index approaches a certain point. It represents the behavior of a function or sequence near a particular point or at infinity.

How do you prove that a limit does not exist?

To prove that a limit does not exist, you need to show that the function or sequence approaches different values from different directions or that it approaches infinity. This can be done using various methods such as the epsilon-delta definition, the squeeze theorem, or the limit comparison test.

What is the epsilon-delta definition of a limit?

The epsilon-delta definition of a limit is a mathematical statement that describes the behavior of a function near a particular point. It states that for a given epsilon (ε) value, there exists a corresponding delta (δ) value such that if the distance between the input and the point is less than delta, then the distance between the output and the limit is less than epsilon.

Can a limit exist at one point but not at another?

Yes, a limit can exist at one point but not at another. This can happen when the function approaches different values from different directions or when it approaches infinity at one point but not at another.

Why is proving the limit does not exist important?

Proving the limit does not exist is important because it helps us understand the behavior of a function or sequence near a particular point. It also allows us to identify any discontinuities or points of divergence in a function, which is crucial in many mathematical applications and real-world scenarios.

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