Real Analysis: Weierstrass M-Test

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Homework Help Overview

The discussion revolves around the uniform convergence of the series \(\sum(-1)^n(x^2+n)/n^2\) on bounded intervals in \(\mathbb{R}\) and its absolute convergence properties. The original poster attempts to apply the Weierstrass M-Test and explore conditions for uniform convergence.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants discuss the application of the Weierstrass M-Test and the conditions required for uniform convergence. There are attempts to establish bounds for \(|g_n(x)|\) and to analyze the behavior of the series as \(n\) approaches infinity. Questions arise regarding the correctness of the original poster's reasoning and the implications of alternating series.

Discussion Status

Some participants have provided guidance on the conditions for uniform convergence and suggested alternative approaches to estimate errors in the context of alternating series. There is ongoing exploration of the implications of the convergence properties discussed.

Contextual Notes

Participants are navigating the complexities of uniform versus absolute convergence, with specific attention to the behavior of the series on bounded intervals. The original poster's attempts to apply the Weierstrass M-Test are met with skepticism, prompting further examination of the series' properties.

steelphantom
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Homework Statement


Show that the series [tex]\sum[/tex](-1)n(x2+n)/n2 is uniformly convergent on every bounded interval in R, but is not absolutely convergent for any x.

Homework Equations


Weierstrass M-Test

The Attempt at a Solution


Take g_n(x) = (-1)n(x2+n)/n2. Then |g_n(x)| = (x2+n)/n2. To be uniformly convergent on every bounded interval in R, that means it would have to be uniformly convergent on any I = [a, b] s.t. a, b [tex]\in[/tex] R. So now I need to find an Mn such that each Mn >= 0, |g_n(x)| <= Mn, and [tex]\sum[/tex]Mn converges.

But for any x, [tex]\sum[/tex]|g_n(x)| >= [tex]\sum[/tex]1/n, which does not converge. What is going on here? Thanks for any help.
 
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You have shown that it is not absolutely convergent by showing that |g_n(x)| does not converge. To show uniform convergence, you need to show that for every [tex]\varepsilon > 0[/tex] there is an N such that for all [tex]n\geq N[/tex], [tex]|g_n(x) - g(x)| < \varepsilon[/tex], where g(x) is the limit.

Edit: I don't believe the Weierstrass M test will work for this.
 
Last edited:
cellotim said:
You have shown that it is not absolutely convergent by showing that |g_n(x)| does not converge. To show uniform convergence, you need to show that for every [tex]\varepsilon > 0[/tex] there is an N such that for all [tex]n\geq N[/tex], [tex]|g_n(x) - g(x)| < \varepsilon[/tex], where g(x) is the limit.

Edit: I don't believe the Weierstrass M test will work for this.

Thanks for your response, cellotim.

How about if I use the fact that (g_n) converges uniformly to g on I = (a, b) iff lim(sup|g(x) - g_n(x)|) = 0, where x is in I.

So sup|g(x) - g_n(x)| = sup(x2 + n)/n2 = (b2 + n)/n2. So lim(sup{(b2 + n)/n2}) = 0, and the series is uniformly convergent for every bounded interval in R.
 
steelphantom said:
Thanks for your response, cellotim.

How about if I use the fact that (g_n) converges uniformly to g on I = (a, b) iff lim(sup|g(x) - g_n(x)|) = 0, where x is in I.

So sup|g(x) - g_n(x)| = sup(x2 + n)/n2 = (b2 + n)/n2. So lim(sup{(b2 + n)/n2}) = 0, and the series is uniformly convergent for every bounded interval in R.

There's a very easy way to estimate the error you make by truncating a series if it's an alternating series. Why not use that?
 
Dick said:
There's a very easy way to estimate the error you make by truncating a series if it's an alternating series. Why not use that?

I'm not sure why what I did was incorrect. I'm not really sure what you're getting at here. Sorry. :redface: What do you mean by "estimate the error you made"?
 
The series converges uniformly if the sequence of partial sums converge uniformly. So if you define g_n(x) to be the nth partial sum, sure, you want to show you can make |g_n(x)-g(x)|<epsilon. But |g_n(x)-g(x)| isn't a single term, it's an infinite series of all the terms in g(x) after the nth term. It the error you make by ignoring all those terms. In the case of an alternating series there is an easy way to estimate that error. Try Googling alternating series and see if you can find it.
 
Dick said:
The series converges uniformly if the sequence of partial sums converge uniformly. So if you define g_n(x) to be the nth partial sum, sure, you want to show you can make |g_n(x)-g(x)|<epsilon. But |g_n(x)-g(x)| isn't a single term, it's an infinite series of all the terms in g(x) after the nth term. It the error you make by ignoring all those terms. In the case of an alternating series there is an easy way to estimate that error. Try Googling alternating series and see if you can find it.

OK, let's see if this works.

Define an = (x2 + n)/n2. lim(an) = 0, so the series [tex]\sum[/tex](-1)nan converges. By lim(an) = 0, there exists N such that n > N implies an < [tex]\epsilon[/tex].

Then |[tex]\sum_{n=0}^\infty[/tex](-1)nan - [tex]\sum_{n=0}^N[/tex](-1)nan| < aN+1 < [tex]\epsilon[/tex]. So the series converges uniformly.

Is this right? Thanks for your help.
 

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