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pivoxa15
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How do you prove the existence but not necessarily the value of a limit?
pivoxa15 said:How do you prove the existence but not necessarily the value of a limit?
pivoxa15 said:Suppose you are given a limit. Show that a limit exists without needing to say what it is.
It is a general question.
pivoxa15 said:Okay, good point. I'll be more specific. I was thinking of limits of sequences only. Or are all limits sequences in which case I haven't narrowed down anything?
This doesn't imply that (a_n) will converge. [Counterexample: a_n = log(n).]John Creighto said:Well how about showing the limit of [tex]a_n-a_{n+1}=0[/tex] as n->oo
If you're going to be taking a limit of something, then it had better be a sequence (or something sequence-like). So, no, you haven't narrowed down anything. Do you mean sequences of numbers?pivoxa15 said:Okay, good point. I'll be more specific. I was thinking of limits of sequences only. Or are all limits sequences in which case I haven't narrowed down anything?
morphism said:This doesn't imply that (a_n) will converge. [Counterexample: a_n = log(n).]Well how about showing the limit of [tex]a_n-a_{n+1}=0[/tex] as n->oo
John Creighto said:What if a_n is bound both above and bellow?
Just because (a_n - a_{n+1}) -> 0 doesn't mean a_n is Cauchy. Again, a counterexample to this claim is a_n = log(n). We have log(n) - log(n+1) = log(n/(n+1)) -> log(1) = 0, but if this were Cauchy, then it would be convergent (since the reals are complete), and it clearly isn't.pivoxa15 said:In which case it would be in a compact space. All cauchy sequences in a compact space converge.
morphism said:Just because (a_n - a_{n+1}) -> 0 doesn't mean a_n is Cauchy. Again, a counterexample to this claim is a_n = log(n). We have log(n) - log(n+1) = log(n/(n+1)) -> log(1) = 0, but if this were Cauchy, then it would be convergent (since the reals are complete), and it clearly isn't.
It turns out that being bounded isn't good enough either, although finding a counterexample was trickier. At any rate: try a_n = exp(i(1 + 1/2 + ... + 1/n)). This doesn't converge - it goes around the unit circle in the complex plane. On the other hand,
[tex]a_n - a_{n+1} = \exp\left(i \left(1 + \frac{1}{2} + ... + \frac{1}{n}\right)\right)\left(1 - \exp\left(\frac{i}{n+1}\right)\right) \to 0.[/itex]
morphism said:It turns out that being bounded isn't good enough either, although finding a counterexample was trickier. At any rate: try a_n = exp(i(1 + 1/2 + ... + 1/n)). This doesn't converge - it goes around the unit circle in the complex plane. On the other hand,
[tex]a_n - a_{n+1} = \exp\left(i \left(1 + \frac{1}{2} + ... + \frac{1}{n}\right)\right)\left(1 - \exp\left(\frac{i}{n+1}\right)\right) \to 0.[/itex]
What are k and M?John Creighto said:Okay, how about [tex]a_n-a_{n-1} \le k \left( \frac{1}{n}-\frac{1}{n-1} \right) [/tex] for all n greater then M
Take the real part of it and see what happens.That's a pretty interesting example. Can you find a similar example on the reals?
morphism said:What are k and M?
Take the real part of it and see what happens.
The limit of a function is the value that a function approaches as the input (x) approaches a certain value (c). In other words, it is the value that the function is "approaching" but may never actually reach for a given input.
A limit is typically calculated using algebraic manipulation and substitution. For example, if the limit of a function as x approaches 3 is required, the function can be simplified and then the value of x can be substituted as 3 to find the limit.
A one-sided limit is when the function is approaching a specific value from only one direction, either from the left or the right. A two-sided limit is when the function is approaching a specific value from both the left and the right.
To prove the existence of a limit, you must show that the function approaches a specific value as the input approaches a certain value. This can be done through various methods, such as using the definition of a limit, algebraic manipulation, or graphical analysis.
Proving the existence of a limit is important because it allows us to make predictions about the behavior of a function and the values it will approach as the input changes. It also helps us to understand and analyze the behavior of more complex functions.