Limit of Power Series at x=1 Proof

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Homework Help Overview

The discussion revolves around proving the limit of a power series at x=1, specifically addressing the convergence of the series \(\sum_{v=0}^{\infty} a_v x^v\) as \(x\) approaches 1 from the left, given that \(\sum_{v=0}^{\infty} a_v\) converges and \(a_v > 0\).

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to establish the limit using properties of uniform convergence and continuity of the power series. Some participants question the necessity of the positivity of \(a_v\) in the proof and suggest referencing Abel's Theorem for a more robust justification.

Discussion Status

Participants are actively exploring the implications of uniform convergence and the conditions under which it applies. There is acknowledgment of a potential oversight regarding the use of positivity of \(a_v\), and alternative approaches are being considered. The discussion remains open with no explicit consensus reached.

Contextual Notes

One participant notes a theorem regarding uniform convergence for power series, indicating that while it applies for \(|x| < 1\), the continuity at the endpoint \(x=1\) requires further justification. There is also a question about the treatment of uniform convergence in open intervals versus closed intervals.

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Homework Statement



If a_v > 0 and [tex]\sum_{v=0}^{\infty} a_v[/tex] converges, then prove that [tex]\lim_{x \rightarrow 1^-} \sum_{v=0}^{\infty} a_v x^v = \sum_{v=0}^{\infty} a_v[/tex].

Homework Equations


The Attempt at a Solution



Since [tex]\sum a_v[/tex] converges, then we can say that [tex]\sum a_v x^v[/tex] converges for x = 1. This implies that it converges uniformly for
all |x| < 1.

Let [tex]f(x) = \sum a_v x^v[/tex] for |x| < 1. Since the convergence is uniform, we know that f is continuous in its interval of convergence. Since the power series converges as well for x = 1, we can also say that f(x) is "left-hand continuous" at x = 1. That is, for all positive epsilon there exists a positive delta such that [tex]|f(x) - f(1)| < \epsilon[/tex] whenever [tex]|x - 1| < \delta[/tex], if we only take x approaching 1 from the left.

Note that [tex]|f(x) - f(1)| = |\sum a_v x^v - \sum a_v | < \epsilon[/tex] whenever [tex]|x-1| < \delta[/tex].

This is precisely the statement: [tex]\lim_{x \rightarrow 1^-} \sum_{v=0}^{\infty} a_v x^v = \sum_{v=0}^{\infty} a_v[/tex]. QED.

The proof seems bullet-proof to me, but what bugs me is that I didn't use the fact that the a_v are positive, so there must be something wrong with the proof...
 
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This implies that it converges uniformly for
all |x| < 1.

What theorem are you using to justify this (i.e., what is its exact statement)?

I don't see how this problem can be solved without quoting Abel's Theorem, or essentially reproducing its proof. (Also, by Abel's Thm, a_v>0 is not required.)
 
Yeah I realized the mistake I made. I have a theorem in my book stating the uniform convergence for |x| < 1, but I can't say that it is uniformly continuous at 1, I would have to use Abel's theorem. But I found another way to solve the problem. ThanksEDIT: The exact statement of the theorem I'm using: "If a power series in x converges for a value x = c, it converges absolutely for every value x such that |x| < |c|, and the convergence is uniform in every interval |x| <= N, where N is any positive number less than |c|. Here N may lie as near to |c| as we please.

Just a quick question, do we ever talk about uniform convergence in open intervals? Or must we mark off some end points so that we can take off a closed interval?
 
Last edited:
An example of a function with uniform convergence on an open interval (i.e. all of [tex]\mathbb{R}[/tex]) is [tex]\sin(x)[/tex]. This can be easily seen once you know the inequality [tex]|\sin x - \sin y| \leq |x - y|[/tex] for all [tex]x,y \in \mathbb{R}[/tex].
 

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