On pointwise convergence of Fourier series

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The discussion centers on the pointwise convergence of Fourier series for a piecewise continuous function with existing one-sided derivatives at discontinuities. The coefficients for the series are confirmed, leading to a computation that evaluates the series at a discontinuous point, yielding a specific result for the sum of reciprocals of odd squares. Concerns are raised regarding the rearrangement of series terms, particularly in relation to absolute convergence and the validity of splitting sums into even and odd indexed components. The necessity of symmetric indexing for odd and even terms is emphasized, along with the importance of ensuring that limits exist separately for valid rearrangements. The conversation concludes with a clarification on how to properly handle the limits and sums in the context of Fourier series convergence.
psie
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Homework Statement
Compute the Fourier series of $$f(t)=\begin{cases} t+\pi &-\pi <t<0\\ 0&0\le t\le \pi. \end{cases}$$ and find the sum of ##\sum_{n=1}^\infty \frac1{(2n-1)^2}##.
Relevant Equations
There is the following theorem in this section of the book; suppose that ##f## has period ##2\pi##, and suppose that ##t_0## is a point where ##f## has one-sided limiting values and (generalized) one-sided derivatives. Then the Fourier series of ##f## converges for ##t=t_0## to the mean value ##\frac12(f(t_0+)+f(t_0-))##. In particular, if ##f## is continuous at ##t_0##, the sum of the series equals ##f(t_0)##.
So, the function is piecewise continuous (and differentiable), with (generalized) one-sided derivatives existing at the points of discontinuity. Hence I conclude from the theorem that the series converges pointwise for all ##t## to the function ##f##.

I've double checked with WolframAlpha that the coefficients are \begin{align} c_0&=\frac{\pi}{4} \nonumber \\ c_{2n}&=\frac{i}{4n}, \ n\neq0 \nonumber \\ c_{2n+1}&=\frac{i}{2(2n+1)}+\frac{1}{\pi(2n+1)^2}. \nonumber \end{align} Now, we have ##\sum_{n\in\mathbb Z} c_ne^{int}##, and I proceed with the following computation \begin{align} \sum_{n\in\mathbb Z} c_ne^{int}&=c_0+\sum_{\substack{n\in\mathbb Z \\ n\neq0}} c_{2n}e^{i2nt}+\sum_{n\in\mathbb Z}c_{2n+1}e^{i(2n+1)t} \tag1 \\ &=\frac{\pi}{4}+\sum_{\substack{n\in\mathbb Z \\ n\neq0}} \frac{i}{4n}e^{i2nt}+\sum_{n\in\mathbb Z } \left(\frac{i}{2(2n+1)}+\frac{1}{\pi(2n+1)^2}\right)e^{i(2n+1)t} \nonumber \\ &=\frac{\pi}{4}-\sum_{n=1}^\infty\frac{\sin(2n)t}{2n}-\sum_{n=0}^\infty \frac{\sin(2n+1)t}{2n+1}+\frac{2}{\pi}\sum_{n=0}^\infty\frac{\cos(2n+1)t}{(2n+1)^2}\nonumber \\ &= \frac{\pi}{4}-\sum_{n=1}^\infty\frac{\sin nt}{n}+\frac{2}{\pi}\sum_{n=1}^\infty\frac{\cos(2n-1)t}{(2n-1)^2}\nonumber. \end{align} To evaluate the sum in the problem, I set ##t=0## and keep in mind that this is a discontinuous point. I get $$\frac12(f(0+)-f(0-))=\frac{\pi}{2}=\frac{\pi}{4}+\frac{2}{\pi}\sum_{k=1}^\infty \frac1{(2n-1)^2},$$ i.e. ##\sum_{k=1}^\infty \frac1{(2n-1)^2}=\frac{\pi^2}{8}##.

I'm doubting my own computation though. The equality in ##(1)##, when we split the sum into even and odd indexed sums, doesn't this require absolute convergence of the series?
 
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What does you text tell you about how to take the double limit \sum_{n \in \mathbb{Z}} c_ne^{inx} = <br /> \lim_{M \to \infty}\lim_{N \to \infty} \sum_{n=-M}^{N} c_{n}e^{inx}? If you are to assume M = N then this procedure is justified: all the necessary terms appear in the partial sum.
 
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pasmith said:
What does you text tell you about how to take the double limit \sum_{n \in \mathbb{Z}} c_ne^{inx} =<br /> \lim_{M \to \infty}\lim_{N \to \infty} \sum_{n=-M}^{N} c_{n}e^{inx}? If you are to assume M = N then this procedure is justified: all the necessary terms appear in the partial sum.
Yes, ##M=N## is the definition in my book. Are you saying that if the right-hand side converges (at least pointwise) in $$\sum_{n=-N}^{N}c_ne^{inx}=c_0+\sum_{\substack{n=-N \\ n \text{ even}}}^N c_{n}e^{inx}+\sum_{\substack{n=-N \\ n \text{ odd}}}^N c_{n}e^{inx},$$ then we can split the sum (technically rearrange it) into sums of even and odd indexed terms? I know it holds for positive series indexed by ##\mathbb N##, but I'm not sure if it holds for alternating, possibly complex, series indexed by ##\mathbb Z##.

If the answer is yes, I assume this follow from the limit law, where ##s_n=a_n+b_n## and ##\lim_{n\to\infty} a_n, \ \lim_{n\to\infty} b_n## both exist, then $$\lim_{n\to\infty} s_n=\lim_{n\to\infty} (a_n+b_n)=\lim_{n\to\infty} a_n+\lim_{n\to\infty} b_n.$$
 
psie said:
Yes, ##M=N## is the definition in my book. Are you saying that if the right-hand side converges (at least pointwise) in $$\sum_{n=-N}^{N}c_ne^{inx}=c_0+\sum_{\substack{n=-N \\ n \text{ even}}}^N c_{n}e^{inx}+\sum_{\substack{n=-N \\ n \text{ odd}}}^N c_{n}e^{inx},$$ then we can split the sum (technically rearrange it) into sums of even and odd indexed terms? I know it holds for positive series indexed by ##\mathbb N##, but I'm not sure if it holds for alternating, possibly complex, series indexed by ##\mathbb Z##.

You can't do <br /> \lim_{N \to \infty} \sum_{n=-N}^N a_n = \lim_{N \to \infty} \sum_{\substack{n=-N \\ n \text{ odd}}}^N a_n + \lim_{N \to \infty} \sum_{\substack{n=-N \\ n \text{ even}}}^N a_n because it involves taking all even terms before (or after) all odd terms, and that is only justified if the series is absolutely convergent. You can, of course, omit from the sum any term which is zero.

(Take care when indexing odd and even terms separately. You need the index to be symmetric about zero, so taking the even term as n = 2k is fine since -2k = 2(-k), but taking the odd term as n = 2k+1 is not since -(2k+1) \neq 2(-k) + 1. The index n = (-1)^k(2|k| - 1) for |k| \geq 1 does have this property.)

If the answer is yes, I assume this follow from the limit law, where ##s_n=a_n+b_n## and ##\lim_{n\to\infty} a_n, \ \lim_{n\to\infty} b_n## both exist, then $$\lim_{n\to\infty} s_n=\lim_{n\to\infty} (a_n+b_n)=\lim_{n\to\infty} a_n+\lim_{n\to\infty} b_n.$$
This theorem only applies if \lim a_n and \lim b_n exist separately; here they do not.

What you can do is <br /> \lim_{N \to \infty} \sum_{n=-N}^N c_ne^{int} = c_0 + \lim_{N \to \infty}\sum_{n=1}^N ((c_n + c_{-n})\cos nt + i(c_n - c_{-n})\sin nt). Now if f is real then c_n and c_{-n} are complex conjugates, so this reduces to <br /> c_0 + \lim_{N \to \infty} \sum_{n=1}^N (2\Re(c_n) \cos nt - 2\Im(c_n)\sin nt). Setting t = 0 makes the sine terms vanish, and \Re(c_n) vanishes for even n so we are justified in writing this as <br /> \tfrac12 (f(0^{+}) + f(0^{-})) = c_0 + \lim_{K \to \infty} \sum_{k=1}^K 2\Re(c_{2k - 1}).
 
First, I tried to show that ##f_n## converges uniformly on ##[0,2\pi]##, which is true since ##f_n \rightarrow 0## for ##n \rightarrow \infty## and ##\sigma_n=\mathrm{sup}\left| \frac{\sin\left(\frac{n^2}{n+\frac 15}x\right)}{n^{x^2-3x+3}} \right| \leq \frac{1}{|n^{x^2-3x+3}|} \leq \frac{1}{n^{\frac 34}}\rightarrow 0##. I can't use neither Leibnitz's test nor Abel's test. For Dirichlet's test I would need to show, that ##\sin\left(\frac{n^2}{n+\frac 15}x \right)## has partialy bounded sums...