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:<math>\sum_{k=1}^\infty\dfrac{1}{k^2}.</math>
 
:<math>\sum_{k=1}^\infty\dfrac{1}{k^2}.</math>
This is also related to the Riemann Zeta function as precisely <math>\zeta(2).</math> First, we will prove the sum converges using the [[Series#Integral test .28proof.29|Series#Integral_test]]: Let <math>f(x)=\frac{1}{x}</math> for <math>x\in[1,\infty]</math>. Clearly <math>f</math> is positive and decreasing on this interval, so the integral test can be applied.
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This is also related to the Riemann Zeta function as precisely <math>\zeta(2).</math> First, we will prove the sum converges using the [[Series#Integral test .28proof.29|integral test]]: Let <math>f(x)=\frac{1}{x}</math> for <math>x\in[1,\infty]</math>. Clearly <math>f</math> is positive and decreasing on this interval, so the integral test can be applied.
   
 
:<math>
 
:<math>

Revision as of 11:35, 29 May 2020

This article examines the famous Basel problem.

Introduction

The Basel problem was the problem to evaluate the sum

This is also related to the Riemann Zeta function as precisely First, we will prove the sum converges using the integral test: Let for . Clearly is positive and decreasing on this interval, so the integral test can be applied.

This is finite, so by the integral test the series converges. The next problem is to what value does it converge?

Euler's approach

Leonhard Euler was the first one to develop a clever approach to "solve" the problem, though not as rigorously as required. We will first demonstrate this approach and then give a rigorous proof.

The power series for the sine function is

so it holds that:

which we can be written out as

It is obvious that the coefficient of is . We will now obtain this coefficient through a different method. Obviously, the LHS function has zeroes at every integer that is a multiple of , except . Through polynomial factoring, we obtain that we can show this as

Using the difference of two squares formula, we simplify this to

Rearranging factors, we get

Now, with some simple algebra we obtain that the coefficient of in this expression is given by

If two polynomials are equal everywhere, then all coefficients must be equal; and this product is equal to the power series expansion, so we deduce that

Multiplying thoroughly by , we obtain the famous solution to the Basel problem:

However, as we stated, this proof is not rigorous enough, despite finding the correct answer.

A rigorous proof

Now, since we know the answer, we are ready to give a rigorous proof. Using Fourier analysis, we know that for a function that is defined over the interval the Fourier series is given by

where

We start out by finding the Fourier series for .

Since the function is even, the sine coefficients will vanish. That is, for each . Hence we just need to evaluate

.


Applying integration by parts yields

The sine term vanishes in the Fourier series because we will use integer multiples of pi in the sine function, and that yields zero, and the cosine function yields . Thus, we are left with

This means we can write the Fourier series as

Now, the Fourier convergence theorem states that if is defined on and piecewise smooth on , then for every the Fourier series of on converges to a value . If the -periodic extension of is continuous at then . If it is discontinuous, then it converges to the average of the left and right hand limits of .

We can use this here as is obviously piecewise smooth on the interval . Evaluating at we get

If we simplify we finally have

Rearranging for the sum we have the result

and this completes the rigorous proof.