How Can Fourier Coefficients Help Solve Infinite Series Problems?

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Discussion Overview

The discussion revolves around the use of Fourier coefficients to solve problems related to infinite series, specifically focusing on the series of 1/(2m+1)^2 and 1/n^4. Participants explore the relationship between Fourier series and these series, discussing the properties of the functions involved and the implications of their Fourier coefficients.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants define the function f(t) = |t| over the interval [-π, π] and inquire about using its Fourier coefficients to demonstrate that the infinite series of 1/(2m+1)^2 equals (π^2)/8.
  • Others confirm that the Fourier series can be utilized, suggesting that the function is equal to the sum of its Fourier series at t=0.
  • Participants discuss how to derive the Fourier series from the coefficients, with one participant providing the form of the series based on the coefficients they have calculated.
  • There is a mention of the sine coefficients vanishing due to the even nature of the function, and a correction regarding the values of the Fourier coefficients for odd and even n.
  • One participant presents their findings on the Fourier coefficients, noting discrepancies when substituting into the series.
  • Another participant references a similar thread for additional context and shares their derived series, seeking further guidance on the next steps.
  • A later post introduces a new function f(t) = t^2, providing its Fourier coefficients and expressing confusion about deriving the series for 1/n^4 and the relevance of the norm of f squared.
  • One participant suggests using Parseval's theorem to address the new problem presented.

Areas of Agreement / Disagreement

Participants generally agree on the use of Fourier coefficients and the structure of the Fourier series, but there are discrepancies in the calculated coefficients and the implications for the infinite series. The discussion remains unresolved regarding the exact steps needed to derive the series for the new function presented.

Contextual Notes

Some participants express uncertainty about the derivation of specific series from the Fourier coefficients, and there are unresolved mathematical steps related to the application of Parseval's theorem and the relationship between the coefficients and the series.

Poirot1
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define f(t)=|t|, t between - pi and pi.

I have found the Fourier co-efficents of f and am now charged with showing that the infinite series of 1/(2m+1)^2 is equal to (pi^2)/8. Can I use the Fourier co-efficents?
 
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Poirot said:
define f(t)=|t|, t between - pi and pi.

I have found the Fourier co-efficents of f and am now charged with showing that the infinite series of 1/(2m+1)^2 is equal to (pi^2)/8. Can I use the Fourier co-efficents?
Yes: Use the fact that $f(t)$ is the sum of its Fourier series at the point $t=0$.
 
How do I find it's Fourier series?
 
Poirot said:
How do I find it's Fourier series?
You said that you had found the Fourier coefficients of $f$, so you can write down its Fourier series. If the Fourier coefficients are $a_n$ and $b_n$ then the Fourier series is $$a_0 + \sum_{n=1}^\infty (a_n\cos nt + b_n\sin nt)$$. There is a theorem which says that if the function $f$ is continuous then it is equal to the sum of its Fourier series.
 
Opalg said:
You said that you had found the Fourier coefficients of $f$, so you can write down its Fourier series. If the Fourier coefficients are $a_n$ and $b_n$ then the Fourier series is $$a_0 + \sum_{n=1}^\infty (a_n\cos nt + b_n\sin nt)$$. There is a theorem which says that if the function $f$ is continuous then it is equal to the sum of its Fourier series.

I will tell you what I have found: If g(n) is the Fourier coeffient of f at n, then g(0)=pi/2

g(n)=-2/pi(n)^2, when n is odd, and g(n)=0 for all non-zero even n.

If I plug in zero in the Fourier series, the sin coefficents vanish, and I don't get the right answer.
 
Take a look at this thread: http://www.mathhelpboards.com/f16/fourier-series-3924/

It's kind of similar... or (almost) the same. ;)
 
I like Serena said:
Take a look at this thread: http://www.mathhelpboards.com/f16/fourier-series-3924/

It's kind of similar... or (almost) the same. ;)

Thanks.

I get f(t)=pi/4 - (2cost/pi +2cos2t/4pi +...). What do I do from here?
 
Poirot said:
I will tell you what I have found: If g(n) is the Fourier coeffient of f at n, then g(0)=pi/2

g(n)=-2/pi(n)^2, when n is odd, and g(n)=0 for all non-zero even n.

If I plug in zero in the Fourier series, the sin coefficents vanish, and I don't get the right answer.
That is mostly correct. The sine coefficients all vanish (because $|t|$ is an even function). For the cosine coefficients, notice that $$g(n) = \frac1\pi\int_{-\pi}^\pi |t|^n\cos nt\,dt = \frac2\pi\int_0^\pi t^n\cos nt\,dt$$ (because the integral from $-\pi$ to $0$ is the same as the integral from $0$ to $\pi$). That gives answers twice what you found, namely $g(0) = \pi$ and $g(n) = -\frac4{\pi n^2}$ when $n$ is odd (and 0 for nonzero even $n$). If you write the odd number $n$ as $2m+1$ then the Fourier series becomes $$\tfrac12g(0) + \sum_{n=1}^\infty g(n)\cos nt = \frac\pi2 - \sum_{m=0}^\infty \frac4{(2m+1)^2\pi}\cos (2m+1)t.$$ Now see what that comes to when $t=0.$
 
Thanks, solved it. Now I have a similar problem:

$f(t)=t^2$

fourier coefficents are g(0)=pi^2/3 and g(n)=2/(n^2) .(-1)^n otherwise.

Deduce that the infinite series of 1/n^4 is equal to pi^4/90.

Whatever t I input, I don't get, and indeed don't see how I am going to get the extra factor of 1/n^2 in the series. I don't know whether it's relevant but I was also asked to show that the norm of f squared is pi^4/5 (which I was able to do).
 
  • #10
Poirot said:
Thanks, solved it. Now I have a similar problem:

$f(t)=t^2$

fourier coefficents are g(0)=pi^2/3 and g(n)=2/(n^2) .(-1)^n otherwise.

Deduce that the infinite series of 1/n^4 is equal to pi^4/90.

Whatever t I input, I don't get, and indeed don't see how I am going to get the extra factor of 1/n^2 in the series. I don't know whether it's relevant but I was also asked to show that the norm of f squared is pi^4/5 (which I was able to do).
Use Parseval's theorem (see equation (4) in that link).
 

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