Convergence of Fourier Series Coefficients for L2 Functions

In summary, this solution uses dominant convergence and works as long as the domain of convergence is contained in the domain of the original function.
  • #1
Kindayr
161
0

Homework Statement


Let [itex]e_{n}(t)= \frac{1}{ \sqrt{2\pi}}\cdot e^{int}[/itex] for [itex]n\in\mathbb{Z}[/itex] and [itex]-\pi\le t\le\pi[/itex].

Show that for any [itex]f\in L^{2}[-\pi,\pi][/itex] we have that [tex](f,e_{n})=\int_{-\pi}^{\pi}f(t)\cdot e^{-int}dt\to0[/tex] as [itex]|n|\to \infty[/itex].

The Attempt at a Solution


I want to use dominant convergence, but unfortunately measure theory isn't a prerequisite for this course. Any help will be awesome!
 
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  • #2
Wait, if [itex]{e_n}[/itex] is complete, then [itex]\lim_{n\to\infty}\sum_{m=-n}^{n}(f,e_m)e_m[/itex] converges to [itex]f[/itex] absolutely, so the coefficients necessarily converge to zero. Would this work?
 
  • #3
Have you seen and proved Bessel's inequality??
 
  • #4
Yep we have. Could I say that:

Since [itex]\{e_n\}[/itex] is complete it follows that [itex]f=\lim_{n\to\infty} \sum_{m=-n}^{n}(f,e_m)e_m[/itex]. Thus, the latter sum converges and hence [itex]\lim_{n\to\infty}\sum_{m=-n}^{n}|(f,e_m)|^{2}<\infty[/itex]. Thus [itex]|(f,e_m)|^2 \to 0[/itex] so [itex]|(f,e_m)|\to 0[/itex] and whence [itex](f,e_m)\to 0[/itex], as required.

Does this work?
 
  • #5
Kindayr said:
Yep we have. Could I say that:

Since [itex]\{e_n\}[/itex] is complete it follows that [itex]f=\lim_{n\to\infty} \sum_{m=-n}^{n}(f,e_m)e_m[/itex]. Thus, the latter sum converges and hence [itex]\lim_{n\to\infty}\sum_{m=-n}^{n}|(f,e_m)|^{2}<\infty[/itex]. Thus [itex]|(f,e_m)|^2 \to 0[/itex] so [itex]|(f,e_m)|\to 0[/itex] and whence [itex](f,e_m)\to 0[/itex], as required.

Does this work?

You don't really need [itex]\{e_n\}[/itex] to be complete for that. Bessel's inequality works fine.
Also, the limit you mention is [itex]L^2[/itex]-convergence. You might want to be careful with that.
 
  • #6
micromass said:
You don't really need [itex]\{e_n\}[/itex] to be complete for that. Bessel's inequality works fine.
Also, the limit you mention is [itex]L^2[/itex]-convergence. You might want to be careful with that.

What should I be careful with? Does [itex]L^2[/itex]-convergence not imply absolute convergence? Sorry, just a little confused by your statement.
 
  • #7
What if I re-index so that [itex]n\in \mathbb{N}[/itex] so that [itex]d_0=e_0, d_1=e_1, d_2=e_{-1},\dots[/itex]. Then by Bessel's inequality we have [itex]\sum_{n=0}^{\infty}|(f,d_n)|^2\le \parallel f\parallel ^{2}<\infty[/itex]. Hence [itex]\sum_{n=0}^{\infty}|(f,d_n)|^2[/itex] converges absolutely and whence [itex](f,d_n)\to 0[/itex] and thus [itex](f,e_n)\to\ 0[/itex] as [itex]|n|\to\infty[/itex].

Would this be better?

I'm far from an analyst as you can probably tell hahahah.
 

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