Fourier series and convergence

In summary, the conversation discusses the use of Fourier series in formal representation of a function. The author presents an example and questions whether it is valid to split the summation without checking for convergence. It is noted that the expressions are equal due to the associativity of addition. The convergence of the two series is also discussed, with the conclusion that both are convergent. The use of LaTeX to generate the image is also mentioned, and the possibility of a typographical error is considered.
  • #1
Niles
1,866
0

Homework Statement


Hi all.

There is an example in my book, where we have the following Fourier series, and the author writes it as:

[tex]
f(x) = \sum\limits_{n = 1}^\infty {\left( {\frac{{( - 1)^n }}{{n^2 }}\cos \left( {\frac{{n\pi x}}{p}} \right) + \frac{1}{n}\sin \left( {\frac{{n\pi x}}{p}} \right)} \right)} = \sum\limits_{n = 1}^\infty {\frac{{( - 1)^n }}{{n^2 }}\cos \left( {\frac{{n\pi x}}{p}} \right)} + \sum\limits_{n = 1}^\infty {\frac{1}{n}\sin \left( {\frac{{n\pi x}}{p}} \right)}
[/tex]

First of all, we are only allowed to split the sum up if, and only if each part in the summation converges, but the author does not check if they do or don't. Is he making a mistake or am I missing something?
 
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  • #2
These expressions are identically equal because addition is associative. That is, it doesn't matter what in what order you add numbers.
 
  • #3
Hmm, according to my analysis-book, both series have to converge in order for us to divide the sum up.
 
  • #4
You are write - if the two series converge absolutely then the original sum equals the sum of the two terms as shown. But I have a question.

You've given this:

The following code was used to generate this LaTeX image:


[tex]

f(x) = \sum\limits_{n = 1}^\infty {\left( {\frac{{( - 1)^n }}{{n^2 }}\cos \left( {\frac{{n\pi x}}{p}} \right) + \frac{1}{n}\sin \left( {\frac{{n\pi x}}{p}} \right)} \right)} = \sum\limits_{n = 1}^\infty {\frac{{( - 1)^n }}{{n^2 }}\cos \left( {\frac{{n\pi x}}{p}} \right)} + \sum\limits_{n = 1}^\infty {\frac{1}{n}\sin \left( {\frac{{n\pi x}}{p}} \right)}
[/tex]

If this is written as a way of saying "the function [tex] f [/tex] can be formally represented by this series, then convergence isn't an issue (although usually the notation [tex] f(x) \sim [/tex] is used rather than equality)

If the statement is that the first series actually converges to [tex] f [/tex], then there may be a theorem that says "given these conditions on a function, the Fourier series actually converges and ...", and the work is justified by that. A final possibility is that the reader is supposed to supply the details about why this is valid.

(There is always the possibility of a typographical error in the text, but one of this magnitude would be, I think, rare)
 
  • #5
The first sum is convergent, but the second requires thought. Break the second sum into a sum over odd integers plus a sum over even integers. The sum over odds describes a square wave of period 2p, so it is convergent. Every term in the even sum is smaller than the corresponding term in the odd sum, so it is convergent also by comparison.
 

1. What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions. It is used to approximate a periodic function by breaking it down into simpler components.

2. What is the purpose of a Fourier series?

The purpose of a Fourier series is to represent a periodic function in terms of simpler components, which makes it easier to analyze and manipulate mathematically. It is also used to approximate complicated functions that cannot be easily solved using other methods.

3. How do you determine the convergence of a Fourier series?

The convergence of a Fourier series can be determined by analyzing the coefficients of the series. If the coefficients decrease in magnitude and do not approach infinity, then the series is said to converge. Additionally, the rate of convergence can be determined by calculating the error between the original function and the Fourier series approximation.

4. What is the difference between pointwise and uniform convergence in Fourier series?

Pointwise convergence of a Fourier series means that the series converges to the original function at every point in its domain. Uniform convergence means that the series converges to the original function at every point in its domain with a bounded error. In other words, uniform convergence guarantees that the approximation is close to the original function at every point, while pointwise convergence only guarantees this for individual points.

5. How is the Gibbs phenomenon related to Fourier series?

The Gibbs phenomenon is a phenomenon observed in Fourier series where there is a persistent overshoot or undershoot near the discontinuity of a periodic function. It is caused by the inability of a Fourier series to accurately represent a discontinuity. This phenomenon becomes more apparent as the number of terms in the series increases, but can be reduced by using a different type of approximation, such as the Fejér kernel.

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