Let\[x_1,x_2,...\]be a succession of real, non-negative numbers such that\[x_{n+1}\le x_n+\frac{1}{n^2}\]for all\[n\ge1\]Show that\[\lim_{n \rightarrow \infty}x_n\]exists.
Time for breakfast first...
*bookmark (I'll be on later)
ha...trivial...I'll let you think about it :)
That's only fair, y'all basically solved the other two for me. I need to learn to think about these kinds of problems.
try writing out the terms TuringTest - you should see how to solve it then...
use the fact that the MAXIMUM \(x_{n+1}=x_n+\frac{1}{n^2}\)
Okay, this kinda thing is really new to me, so I'm gonna be a bit slow getting it, but thanks for the tip!
what would the first term be?
It doesn't say a specific number, it's just a succession of positive real numbers. So you just mean\[x_2\le x_1+1\]eh?
yes - first term is \(x_1\) 2nd term MAX is \(x_1+\frac{1}{1^2}\) now, what would the 3rd term MAX be?
obviously\[x_2+\frac{1}{4}\]
don't add up the values - leave them as 1/n^2
and write the MAX 3rd term in terms of \(x_1\)
you should spot a pattern emerging...
ah... x_3 max is\[x_2+\frac{1}{2^2}=x_1+1+\frac{1}{2^2}\]x_n max is\[x_{n-1}+1+\frac{1}{2^2}+\dots+\frac{1}{(n-1)^2}\]
1st term should be \(x_1\)
yeah, just didn't write it. \[x_1\]x_2 max is\[x_2=x_1+1\]x_3 max is\[x_2+\frac{1}{2^2}=x_1+1+\frac{1}{2^2}\]x_n max is\[x_{n-1}+1+\frac{1}{2^2}+\dots+\frac{1}{(n-1)^2}\]
you should end up with something like:\[\text{MAX }x_{n+1}=x_1+\sum_1^n\frac{1}{n^2}\]
the sum on the right has a well known value
typo again... \[x_1\]x_2 max is\[x_2=x_1+1\]x_3 max is\[x_2+\frac{1}{2^2}=x_1+1+\frac{1}{2^2}\]x_n max is\[x_1+1+\frac{1}{2^2}+\dots+\frac{1}{(n-1)^2}\]so that leads to your formula clearly
BTW: I meant the 1st in the last line of your reply should be \(x_1\)
ok - so do you recognise the sum?
yeah, caught that^^^ server is so slow...
remember we want to know what happens as n tends to \(\inf\)
actaully we just need to show that a limit exists - you don't need the value of it
Ok, so the x_n are bounded by \( x_1 + π^2/6 \). Now why does that mean they have a limit?
Well because it's finite of course
the sum is well known and has a value of \(\frac{\pi^2}{6}\) as JamesJ stated
That I couldn't recall, though I knew it was finite
so we now know that:\[x_{n+1}\le x_1+\frac{\pi^2}{6}\]
isn't that enough to say that the limit is finite because x_1 and the sum are finite? regardless of n?
and that the sum exists of course as James pointed out.
maybe this is not a /strong/ enough proof. I thought this was enough but there must be more to it. maybe @JamesJ can help us understand?
The thing is you can have a bounded sequence that doesn't have a limit. For instance a_n = (-1)^n What you can say is that a bounded sequence has a convergent subsequence. You might want to try and show the sequence converges to the limit of a subsequence. But you may not want to go down that road.
Oh man, I don't even know what a subsequence is. Is that the sequence of partial sums?
do we need to use L'Hôpital's rule?
there are no sums here, except in the bound calculation we just did.. You want to show that (xn) converges. Not the sum of (xn) or anything else.
do we just need to show that the ratio between successive terms gets smaller, and therefore it converges?
(And L'Hopital has absolutely nothing to do with it.)
sorry - just grasping at straws here :-(
A strategy would be to show that (xn) is ultimately a Cauchy sequence. Then (xn) converges.
These terms--subseqnece, Cauchy--are all from Real Analysis. Having some knowledge of these things and standard theorems will help.
*subsequence
\[x_{n+1}-x_n\le\frac{1}{n^2}\]and we know 1/n^2 converges - is that sufficient?
the Cauchy sequence approach is what asnaseer said isn't it? Showing that the elements get arbitrarily closer to each other as n increases
If you absolute value then yes, that would show (xn) is Cauchy and then you could conclude (xn) converges. But unfortunately, you don't have \[ | x_{n+1} - x_n | < 1/n^2 \]
:(
JamesJ - does it have to be strictly LESS THAN? LESS THAN OR EQUAL is not enough?
right because it can be large negative...
less than/less than or equal; doesn't matter. What's important is the absolute value. Anyway, I think the Cauchy argument is the way to go. Suppose the (xn) is not Cauchy. Write that down in \( \epsilon-N \) terms and derive a contradiction.
ok - thanks - time to go learn about Cauchy...
Yikes, I haven't done that sort of thing yet. Yes, study time!
which is good - we are increasing our knowledge! :-)
That's why I'm here :-)
ok, I've learned a little about Cauchy Sequences and Real Analysis (quite interesting) and have formulated this so far:\(\{x_n\}\) is Cauchy if for any \(\epsilon>0\) there is a number N such that \(|x_n-x_m|<\epsilon\) for n,m>N. So we can write:\[\begin{align} |x_n-x_m|&=|(x_n-x_{n-1})+(x_{n-1}-x_{n-2})+...+(x_{m+1}-x_m)|\\ &\le|x_n-x_{n-1}|+|x_{n-1}-x_{n-2}|+...+|x_{m+1}-x_m|\\ &\le\frac{1}{(n-1)^2}+\frac{1}{(n-2)^2}+...+\frac{1}{m^2}\\ &\le\psi^1(m)-\psi^1(n+1) \end{align}\] I'm not sure how to proceed from here. Am I even on the right track here @JamesJ?
As we commented above, you don't know that \[ |x_n - x_{n-1} | \leq \frac{1}{(n-1)^2} \] If you did, this problem would be easy. But alas, we don't.
Why did Zarkon call this problem 'trivial' if it involves so much I wonder...
but we are given:\[x_{n+1}\le x_n+\frac{1}{n^2}\]therefore:\[x_{n+1}-x_n\le \frac{1}{n^2}\]and since the right hand side is always positive aren't we allowed to just add the |'s around the left hand side?
@Zarkon - have we missed one of your BIG FOOTPRINTS somewhere?
there is more than one way to do a problem
It's actually not hard if you know how to write down the converse of the Cauchy condition. But perhaps he has something else in mind.
@Zarkon - I think your reply should have been: "to do a problem, more than one way, there is" in the style of Yoda :-)
I'll keep that in mind ;)
can you give us a clue @Zarkon?
@JamesJ - why can't we write the abs value as indicated?
Suppose x_4 = 1. Then \[ x_5 \leq x_4 + 1/4^2 = 17/16 \] so \( x_5 \) could be 1/2 say, in which case it is not true that \[ | x_5 - x_4 | \leq 1/4^2 \]
so for recursive definitions of inequalities - we can't use the same rules as for normal inequalities I guess
consider the sequence defined by \[y_1=x_1\] and \[y_{n+1}=x_{n+1}-\sum_{i=1}^{n}\frac{1}{i^2}\]
Nice.
\(y_{n+1}\) is always equal to \(x_1\)?
no
sorry always <= x_1
\[y_{n+1}=x_{n+1}-\sum_{i=1}^{n}\frac{1}{i^2}\le x_{n}+\frac{1}{n^2}-\sum_{i=1}^{n}\frac{1}{i^2} \] \[=x_{n}-\sum_{i=1}^{n-1}\frac{1}{i^2}=y_n\]
i.e., \( y_{n+1} \leq y_n \). Now ...
so the {\(y_n\)} sequence converges
yes...because it is bonded below and decreasing.
*bounded
and there must be a method to show that the {\(x_n\)} sequence also converges because of this - more reading?
let \[y_n\to y\] \[\lim_{n\to \infty}x_n=\lim_{n\to \infty}y_{n}+\sum_{i=1}^{n-1}\frac{1}{i^2}=y+\frac{\pi^2}{6}\]
I'll be honest and say I prefer this method to mine because it's direct; vs. mine which would be an indirect proof (and theoretically, a little more difficult).
Well I'm lagging pretty far behind the 3 of you, guess I don't have much to contribute. I did at least follow it though up until that last step. What is y?
thats a nice proof - thanks @Zarkon. and thanks @JamesJ for introducing me to the world of Real Analysis.
the limit of \(y_n\) we do now know its value
ah, ok, then I guess I get it. I'll have to study it though. Thanks guys.
The result that was just used is one of the most important basic results in analysis and worth knowing: Let (x_n) be sequence of real numbers which is - increasing and bounded above; or - decreasing and bounded below then (x_n) has a limit.
thx @JamesJ
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