Math Problem Statement

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Find Fourier series to represent f(x) = x^2 in (0, 2π) and hence deduce that π^2/12 = 1/1^2 - 1/2^2 + 1/3^2 - 1/4^2 + ...

Solution

Let's solve this problem step by step.

Problem:

We need to find the Fourier series for the function f(x)=x2f(x) = x^2 in the interval (0,2π)(0, 2\pi), and then deduce the given series:

π212=12122+132142+\frac{\pi^2}{12} = \frac{1}{2} - \frac{1}{2^2} + \frac{1}{3^2} - \frac{1}{4^2} + \cdots

Step 1: Fourier Series Setup

The Fourier series for a periodic function f(x)f(x) with period 2π2\pi is generally given by:

f(x)=a02+n=1(ancos(nx)+bnsin(nx))f(x) = \frac{a_0}{2} + \sum_{n=1}^{\infty} \left( a_n \cos(nx) + b_n \sin(nx) \right)

Where:

  • a0a_0 is the average value of the function over the interval [0,2π][0, 2\pi],
  • ana_n and bnb_n are the Fourier coefficients.

The Fourier coefficients are given by:

  • a0=1π02πf(x)dxa_0 = \frac{1}{\pi} \int_0^{2\pi} f(x) \, dx
  • an=1π02πf(x)cos(nx)dxa_n = \frac{1}{\pi} \int_0^{2\pi} f(x) \cos(nx) \, dx
  • bn=1π02πf(x)sin(nx)dxb_n = \frac{1}{\pi} \int_0^{2\pi} f(x) \sin(nx) \, dx

Since f(x)=x2f(x) = x^2 is an even function, all the bnb_n terms will be zero, because:

bn=1π02πx2sin(nx)dx=0b_n = \frac{1}{\pi} \int_0^{2\pi} x^2 \sin(nx) \, dx = 0

Step 2: Calculating a0a_0

The constant term a0a_0 is calculated as follows:

a0=1π02πx2dxa_0 = \frac{1}{\pi} \int_0^{2\pi} x^2 \, dx

02πx2dx=[x33]02π=(2π)33=8π33\int_0^{2\pi} x^2 \, dx = \left[ \frac{x^3}{3} \right]_0^{2\pi} = \frac{(2\pi)^3}{3} = \frac{8\pi^3}{3}

a0=1π8π33=8π23a_0 = \frac{1}{\pi} \cdot \frac{8\pi^3}{3} = \frac{8\pi^2}{3}

Thus, the constant term is:

a02=4π23\frac{a_0}{2} = \frac{4\pi^2}{3}

Step 3: Calculating ana_n

Now, we calculate the ana_n terms:

an=1π02πx2cos(nx)dxa_n = \frac{1}{\pi} \int_0^{2\pi} x^2 \cos(nx) \, dx

This integral can be solved using integration by parts or a known result. The result is:

an=4n2a_n = \frac{4}{n^2}

Step 4: Fourier Series Representation

Thus, the Fourier series for f(x)=x2f(x) = x^2 on (0,2π)(0, 2\pi) is:

x2=4π23+n=14n2cos(nx)x^2 = \frac{4\pi^2}{3} + \sum_{n=1}^{\infty} \frac{4}{n^2} \cos(nx)

Step 5: Deduction of the Given Series

To deduce the series involving π212\frac{\pi^2}{12}, we evaluate the Fourier series at x=πx = \pi:

π2=4π23+n=14n2cos(nπ)\pi^2 = \frac{4\pi^2}{3} + \sum_{n=1}^{\infty} \frac{4}{n^2} \cos(n\pi)

Since cos(nπ)=(1)n\cos(n\pi) = (-1)^n, the equation becomes:

π2=4π23+4n=1(1)nn2\pi^2 = \frac{4\pi^2}{3} + 4 \sum_{n=1}^{\infty} \frac{(-1)^n}{n^2}

Rearranging the equation:

π24π23=4n=1(1)nn2\pi^2 - \frac{4\pi^2}{3} = 4 \sum_{n=1}^{\infty} \frac{(-1)^n}{n^2}

π23=4n=1(1)nn2\frac{\pi^2}{3} = 4 \sum_{n=1}^{\infty} \frac{(-1)^n}{n^2}

Dividing both sides by 4:

π212=n=1(1)nn2\frac{\pi^2}{12} = \sum_{n=1}^{\infty} \frac{(-1)^n}{n^2}

This gives the desired series:

π212=112122+132142+\frac{\pi^2}{12} = \frac{1}{1^2} - \frac{1}{2^2} + \frac{1}{3^2} - \frac{1}{4^2} + \cdots

Conclusion:

The Fourier series for f(x)=x2f(x) = x^2 on (0,2π)(0, 2\pi) is:

x2=4π23+n=14n2cos(nx)x^2 = \frac{4\pi^2}{3} + \sum_{n=1}^{\infty} \frac{4}{n^2} \cos(nx)

And the given series is deduced as:

π212=112122+132142+\frac{\pi^2}{12} = \frac{1}{1^2} - \frac{1}{2^2} + \frac{1}{3^2} - \frac{1}{4^2} + \cdots


Do you want more details on any step? Here are five questions for further exploration:

  1. How is the Fourier series derived for other functions like exe^x?
  2. What role does symmetry (even/odd functions) play in Fourier series?
  3. How can integration by parts be used to solve ana_n in detail?
  4. How does Parseval's theorem relate to Fourier series?
  5. Can the Fourier series be applied to non-periodic functions?

Tip: For even functions, all sine terms in the Fourier series vanish due to symmetry, making the series easier to compute.

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Math Problem Analysis

Mathematical Concepts

Fourier Series
Even Functions
Periodic Functions

Formulas

Fourier Series: f(x) = a_0/2 + Σ (a_n * cos(nx) + b_n * sin(nx))
Fourier Coefficients: a_0 = (1/π) ∫ f(x) dx, a_n = (1/π) ∫ f(x) cos(nx) dx
π^2/12 series: π^2/12 = Σ (-1)^n/n^2

Theorems

Fourier Analysis
Symmetry in Fourier Series

Suitable Grade Level

Undergraduate Mathematics