Fourier series of functions with points of discontinuity

Click For Summary

Discussion Overview

The discussion revolves around the convergence properties of Fourier series for functions with points of discontinuity, particularly in the context of L^2 spaces. Participants explore the conditions under which Fourier series converge to functions, addressing both pointwise and L^2 norm convergence, as well as the implications of discontinuities.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that the Fourier series for functions with countable discontinuities will converge to the function at points of continuity and to the average value at discontinuities.
  • Others challenge this by stating that there are continuous functions whose Fourier series do not converge, suggesting that additional conditions (like Lipschitz or differentiability) are necessary for convergence claims.
  • One participant emphasizes that convergence should be understood in the context of the L^2 norm, arguing that Fourier series converge to the function regardless of discontinuities.
  • Another participant introduces the concept of equivalence in L^2 space based on the Lebesgue integral, suggesting that Fourier series converge to the continuous equivalent function.
  • Clarifications are made regarding the meaning of "infinite linear combination" and "converge," indicating that interpretations of convergence may vary.
  • There is a contention regarding the closure properties of C[a,b], with one participant asserting that it is not closed under infinite addition, while another maintains that truncated Fourier series remain continuous.

Areas of Agreement / Disagreement

Participants express differing views on the convergence of Fourier series, particularly regarding the conditions required for convergence and the implications of discontinuities. The discussion remains unresolved with multiple competing interpretations of convergence and the properties of function spaces.

Contextual Notes

Limitations include the need for clarity on definitions of convergence and the conditions under which various convergence claims hold. The discussion reflects a range of assumptions about the properties of functions in L^2 spaces and their Fourier series representations.

jorgdv
Messages
29
Reaction score
0
If you have a function with countable discontinuities on an interval, I know that the Fourier series will converge to that function without those discontinuities. But how could you explain that formally? If the basis of the Fourier series span the space L^2[a,b], that would include functions with countable point-discontinuities, right?
 
Physics news on Phys.org
The Fourier series for L^2 functions will converge to the function at all points of continuity and will converge to the average value at the discontinuities.
 
mathman said:
The Fourier series for L^2 functions will converge to the function at all points of continuity and will converge to the average value at the discontinuities.

Not really. There is a continuous function whose Fourier series does not converge. What you say is only true with some additional conditions, for example a Lipschitz condition or a differentiable condition.
 
micromass said:
Not really. There is a continuous function whose Fourier series does not converge. What you say is only true with some additional conditions, for example a Lipschitz condition or a differentiable condition.

It depends on what you mean by convergence. I was talking about convergence in the L^2 norm.
 
mathman said:
It depends on what you mean by convergence. I was talking about convergence in the L^2 norm.

Then it's still wrong. The Fourier series of a function always converges to the function in the L^2-norm. Doesn't matter what the discontinuities are.

http://en.wikipedia.org/wiki/Riesz–Fischer_theorem
 
What I was thinking is that in the L2 space there is an equivalence relation such that if the Lebesgue integral of the diference is 0, then they are equivalent. However, the functions in the trigonometric basis of Fourier are contained in C[a,b], and because C[a,b] is closed under addition, the infinite linear combination with real coefficients will also be contained in C[a,b]. So the Fourier series will converge to the continuous equivalent function in the L2 space. Is that right?
 
jorgdv said:
What I was thinking is that in the L2 space there is an equivalence relation such that if the Lebesgue integral of the diference is 0, then they are equivalent. However, the functions in the trigonometric basis of Fourier are contained in C[a,b], and because C[a,b] is closed under addition, the infinite linear combination with real coefficients will also be contained in C[a,b]. So the Fourier series will converge to the continuous equivalent function in the L2 space. Is that right?

What do you mean with "infinite linear combination" and what do you mean with "converge". The answers to your question depend on that. There are multiple ways to interpret convergence or summation of functions.
 
With "infinite linear combination" I mean an infinite sum of elements contained in the space, in this case, scaled by real numbers (each element). And with "converge" in that context I meant pointwise.
 
  • #10
However, the functions in the trigonometric basis of Fourier are contained in C[a,b], and because C[a,b] is closed under addition, the infinite linear combination with real coefficients will also be contained in C[a,b].

Not true: C[a,b] is not closed under infinite addition. All truncated Fourier series are continuous!
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 14 ·
Replies
14
Views
5K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 0 ·
Replies
0
Views
628
Replies
1
Views
3K
  • · Replies 6 ·
Replies
6
Views
9K
  • · Replies 10 ·
Replies
10
Views
3K