Convergence to pi^2/6 using Fourier Series and f(x) = x^2

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Homework Help Overview

The original poster is working on proving that the sum of the series \(\sum_{n=1}^\infty \frac{1}{n^2} = \frac{\pi^2}{6}\) using the Fourier series for the function \(f(x) = x^2\) defined on the interval \(0 \leq x < 2\pi\). The discussion revolves around the correct application of Fourier coefficients and the periodic extension of the function.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the validity of using different intervals for calculating Fourier coefficients and whether the original function was defined correctly. There are questions about the implications of periodicity and the correct limits for integration.

Discussion Status

Some participants have provided guidance on using the periodic extension of the function and suggested that the original poster does not need to change the function's form but rather focus on the limits of integration. There are ongoing clarifications about the treatment of the Fourier coefficients and the implications of discontinuities at the boundaries.

Contextual Notes

There is uncertainty regarding the original definition of the function \(f(x)\) and whether it was intended to be evaluated on the interval \((- \pi, \pi)\) instead of \((0, 2\pi)\). Additionally, the discussion touches on the potential need for corrections in the calculations of the Fourier coefficients based on the chosen interval.

libelec
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Homework Statement



Using the Fourier trigonometrical series for [tex]f(x) = {x^2},{\rm{ }}0 \le x < 2\pi[/tex], prove that [tex]\sum\limits_{n = 1}^\infty {\frac{1}{{{n^2}}}} = \frac{{{\pi ^2}}}{6}[/tex]

The Attempt at a Solution



This is more of a "what am I doing wrong question". First, because I'm not in the period defined by the trigonometrical coefficients, I have to change the limits using that:

[tex]0 \le x < 2\pi[/tex]
[tex]- \pi \le x - \pi < \pi[/tex]
[tex]\begin{array}{l}<br /> - \pi \le t < \pi , \\ <br /> t = x - \pi , \\ <br /> f(t) = f(x - \pi ) \\ <br /> \end{array}[/tex]

Then I find the Fourier coefficients with this in hand:

[tex]{a_0} = \frac{1}{\pi }\int\limits_{ - \pi }^\pi {f(t).dt = } \frac{1}{\pi }\int\limits_0^{2\pi } {f(x).dx = } \frac{1}{\pi }\int\limits_0^{2\pi } {{x^2}.dx = } \frac{8}{3}{\pi ^2}[/tex]

[tex]{a_n} = \frac{1}{\pi }\int\limits_{ - \pi }^\pi {f(t).\cos (nt)dt = } \frac{1}{\pi }\int\limits_0^{2\pi } {f(x).\cos (n(x - \pi ))dx = } \frac{1}{\pi }\int\limits_0^{2\pi } {{x^2}.\left[ {\cos (nx)\cos (n\pi ) - \sin (nx)\sin (n\pi )} \right].dx = }[/tex]
[tex]{a_n} = \frac{1}{\pi }\int\limits_0^{2\pi } {{x^2}.\cos (nx).{{( - 1)}^n}dx = } \frac{{{{( - 1)}^n}}}{\pi }\left( {\left. {\frac{{2x.\cos (nx)}}{{{n^2}}}} \right|_0^{2\pi }} \right) = \frac{{2{{( - 1)}^n}}}{{{n^2}}}[/tex]

[tex]{b_n} = \frac{1}{\pi }\int\limits_{ - \pi }^\pi {f(t).\sin (nt).dx = } \frac{1}{\pi }\int\limits_0^{2\pi } {f(x).\sin (n(x - \pi )).dx = } \frac{1}{\pi }\int\limits_0^{2\pi } {{x^2}.\left[ {\sin (nx)\cos (n\pi ) + \sin (n\pi )\cos (nx)} \right].dx = }[/tex]
[tex]{b_n} = \frac{{{{\left( { - 1} \right)}^n}}}{\pi }\int\limits_0^{2\pi } {{x^2}.\sin (nx).dx = } \frac{{{{\left( { - 1} \right)}^n}}}{\pi }\left( {\left. {(\frac{2}{{{n^3}}} - \frac{{{x^2}}}{n})\cos (nx)} \right|_0^{2\pi }} \right) = \frac{{4{{\left( { - 1} \right)}^{n + 1}}}}{n}[/tex]

Then, using Parseval's identity:

[tex]{\left\| {f(x)} \right\|^2} = \frac{{{a_0}^2}}{2} + \sum\limits_{n = 1}^\infty {{a_n}^2 + {b_n}^2}[/tex]
[tex]\frac{1}{\pi }\int\limits_0^{2\pi } {{{({x^2})}^2}.dx} = \frac{{{{\left( {\frac{8}{3}{\pi ^2}} \right)}^2}}}{2} + \sum\limits_{n = 1}^\infty {{{\left( {\frac{{2{{( - 1)}^n}}}{{{n^2}}}} \right)}^2} + {{\left( {\frac{{4{{( - 1)}^{n + 1}}}}{n}} \right)}^2}}[/tex]
[tex]\frac{{32}}{5}{\pi ^4} = \frac{{32{\pi ^4}}}{9} + \sum\limits_{n = 1}^\infty {\frac{4}{{{n^4}}} + \frac{{16}}{{{n^2}}}}[/tex]
[tex]\frac{{112}}{9}{\pi ^4} = \sum\limits_{n = 1}^\infty {\frac{{4 + 16{n^2}}}{{{n^4}}}}[/tex]

And here I reach a deadpoint. What do I do?
 
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You are extending f(x) periodically with period [itex]2\pi[/itex]. You get the same thing when you integrate a periodic function over any period. That is, if g(x) has period P, then

[tex]\int_a^{a+P} g(x)\, dx = \int_b^{b+P} g(x)\, dx[/tex]

That means you don't have to use [itex]-\pi[/itex] to [itex]\pi[/itex] in your formulas for the coefficients; you can use 0 to [itex]2\pi[/itex], so you don't have to fiddle with changing the x2.

The other thing you are missing is using the Dirichlet theorem which tells you what the series will converge to at 0 and [itex]2\pi[/itex]. Notice that your periodic extension of your function has a jump discontinuity at those points.
 
Also, one other question. Are you sure your function x2 wasn't given on [itex](-\pi,\pi)[/itex] in the first place?
 
LCKurtz said:
You are extending f(x) periodically with period [itex]2\pi[/itex]. You get the same thing when you integrate a periodic function over any period. That is, if g(x) has period P, then

[tex]\int_a^{a+P} g(x)\, dx = \int_b^{b+P} g(x)\, dx[/tex]

That means you don't have to use [itex]-\pi[/itex] to [itex]\pi[/itex] in your formulas for the coefficients; you can use 0 to [itex]2\pi[/itex], so you don't have to fiddle with changing the x2.

The other thing you are missing is using the Dirichlet theorem which tells you what the series will converge to at 0 and [itex]2\pi[/itex]. Notice that your periodic extension of your function has a jump discontinuity at those points.

Let me see if I get it: you're saying that x^2.cos(nx) and x^2.sin(nx) are 2Pi periodic, so that change of limits that produced the (-1)^n was wrong? I didn't have to do anything, just integrate them between 0 and 2Pi?

And what do you want me to do with the borders? I know that they will converge to the lateral limits average but I don't know what you mean.

And yes, x^2 was defined in (0, 2Pi).
 
libelec said:
Let me see if I get it: you're saying that x^2.cos(nx) and x^2.sin(nx) are 2Pi periodic, so that change of limits that produced the (-1)^n was wrong? I didn't have to do anything, just integrate them between 0 and 2Pi?

No, I am not saying that x2cos(nx) and x2sin(nx) are periodic. I am saying that the periodic extensions of them are periodic, and that is what you are expanding in a FS. I didn't go through your steps to see if you had any mistakes an your calculation of an and bn. I am just saying you can use the usual formulas on any period you wish, and in the present case, it is much easier to use [itex](0,2\pi)[/itex].
And what do you want me to do with the borders? I know that they will converge to the lateral limits average but I don't know what you mean.

And yes, x^2 was defined in (0, 2Pi).

The reason I asked this is because, if I recall correctly, evaluating the even extension of x2 on [itex](-\pi,\pi)[/itex] at 0 is the way I have seen the problem done.
 
LCKurtz said:
No, I am not saying that x2cos(nx) and x2sin(nx) are periodic. I am saying that the periodic extensions of them are periodic, and that is what you are expanding in a FS. I didn't go through your steps to see if you had any mistakes an your calculation of an and bn. I am just saying you can use the usual formulas on any period you wish, and in the present case, it is much easier to use [itex](0,2\pi)[/itex].

But still, the expressions for an and bn, etc, are made for (-[tex]\pi[/tex], [tex]\pi[/tex]), I still have to make some correction when I calculate them for (0, 2[tex]\pi[/tex]), right?
 
No. You don't have to change anything but the limits. If f(x) has period [itex]2\pi[/itex] then

[tex]\frac 1 {\pi}\int_{-\pi}^{\pi} f(x)\cos{nx}\, dx = \frac 1 {\pi}\int_{0}^{2\pi} f(x)\cos{nx}\, dx[/tex]

and ditto for the sine. In the current problem the latter is much preferred because it is the only one in which you can use [itex]f(x) = x^2[/itex].

And looking ahead, I'm guessing you might want to use the even periodic extension of x2, which would be [itex]4\pi[/itex] periodic. As I mentioned before, the usual series for this is the periodic extension of x2 on [itex](-\pi,\pi)[/itex], but that is apparently not what you have been asked to do.
 
LCKurtz said:
No. You don't have to change anything but the limits. If f(x) has period [itex]2\pi[/itex] then

[tex]\frac 1 {\pi}\int_{-\pi}^{\pi} f(x)\cos{nx}\, dx = \frac 1 {\pi}\int_{0}^{2\pi} f(x)\cos{nx}\, dx[/tex]

and ditto for the sine. In the current problem the latter is much preferred because it is the only one in which you can use [itex]f(x) = x^2[/itex].

And looking ahead, I'm guessing you might want to use the even periodic extension of x2, which would be [itex]4\pi[/itex] periodic. As I mentioned before, the usual series for this is the periodic extension of x2 on [itex](-\pi,\pi)[/itex], but that is apparently not what you have been asked to do.

So I use the even periodic extension for f(x): that is, f(x) = x2 for -2[tex]\pi[/tex]<x<2[tex]\pi[/tex], and then I make the following calculations?:

[tex]{a_0} = \frac{1}{{2\pi }}\int\limits_{ - 2\pi }^{2\pi } {{x^2}dx}[/tex]

[tex]{a_n} = \frac{1}{{2\pi }}\int\limits_{ - 2\pi }^{2\pi } {{x^2}\cos (\frac{1}{{2\pi }}nx)dx}[/tex]

[tex]{b_n} = \frac{1}{{2\pi }}\int\limits_{ - 2\pi }^{2\pi } {{x^2}\sin (\frac{1}{{2\pi }}nx)dx}[/tex]

Is that what you're saying?
 
There shouldn't be any [itex]\pi[/itex] in your cosines and sines. [itex]2p=4\pi[/itex] so
[tex]\sin{\frac{n\pi x}{p}} = sin{\frac n 2 x}[/tex]
 
  • #10
But that's the way?
 
  • #11
LCKurtz said:
There shouldn't be any [itex]\pi[/itex] in your cosines and sines. [itex]2p=4\pi[/itex] so
[tex]\sin{\frac{n\pi x}{p}} = sin{\frac n 2 x}[/tex]

And, once more, I will add that I suspect you are doing the wrong problem. Maybe there is a typo somewhere. Because if you take the periodic extension of x2 on [itex](-\pi,\pi)[/itex] and evaluate its series at [itex]x = \pi[/itex] you will get your desired answer.
 
  • #12
OK, thanks. One question, though, when do I know when to use the periodic extensions (even an odd extensions)?
 
  • #13
libelec said:
OK, thanks. One question, though, when do I know when to use the periodic extensions (even an odd extensions)?

That's a good question. It depends on what you intend to do with the series, but generally, the smoother the periodic function is, the faster the series will converge. In this case, if you take the even extension of x2 you get a continuous function whereas if you take the odd extension you get jump discontinuities at the ends. And the even extension has no sine terms so that's half the work. Another hint in this problem would be the series you are asked about has terms like 1/n2 in it which suggests you need a continuous periodic function.
 
  • #14
Thank you.
 

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