Fourier Analysis: Pointwise vs. L^2 Convergence

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SUMMARY

The discussion centers on the differences between pointwise convergence and convergence in L^2 within the context of Fourier analysis. It clarifies that convergence in L^2, also known as convergence in the mean, is distinct from weak convergence. The participants emphasize that pointwise convergence is largely ineffective for Fourier series, which necessitate Lebesgue integration for meaningful analysis. The conversation also highlights the limitations of traditional calculus courses in covering the theoretical aspects of Fourier analysis.

PREREQUISITES
  • Understanding of Fourier series
  • Familiarity with pointwise convergence and convergence in L^2
  • Basic knowledge of Lebesgue integration
  • Concepts of Riemann integrability
NEXT STEPS
  • Study Lebesgue integration and its applications in Fourier analysis
  • Explore convergence theorems related to Fourier series
  • Read "Fourier Analysis" by Stein and Shakarchi for a comprehensive understanding
  • Investigate the implications of convergence types in functional analysis
USEFUL FOR

Students of advanced calculus, mathematicians focusing on analysis, and educators seeking to deepen their understanding of Fourier analysis and its convergence properties.

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I'm just taking Calculus 4 this semester, where part of it is also Fourier analysis.

When I was browsing a little bit about the subject I found out that there are several different approaches and so I'm a bit confused now.

So this is how I understand it, correct me if I'm wrong:

There is the approach of pointwise convergence (which we are taking) and the approach of convergence in L^2 (is this called the weak convergence or is it something completely different?). Now the Fourier series can converge in the L^2 space but not pointwise and vice-versa.

Did I get it correct?

Another question is: What is a good book on Fourier analysis from the pointwise point-of-view on the level like Rudin's Principles of math. analysis?

Thanks
 
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No, that is not "weak convergence", that is "convergence in L2" or "convergence in the mean". You aren't going to find a book on Fourier Analysis from the "pointwise-point-of-view" because "pointwise convergence" is useless with Fourier series. For Fourier series to make any sense, you MUST use Lebesque integration and convergence in the norm.
 
Well, we are not using anything from the Lebesgue integration theory, we didn't even mention L^2 spaces.
Does that mean, that what we're learning ther is useless :smile: ?
 
As far as the theory is concerned, yes! You might well be learning to calculate Fourier series for simple functions and use them in basic applications- so I guess that is useful. But you can't be learning much of the theory. Most functions that have Fourier series aren't even Riemann integrable.
 

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