What is the convergence rate of Fourier series?

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SUMMARY

The convergence rate of Fourier series is influenced by the continuity of the functions being represented. Functions that exhibit greater continuity and resemble cosine functions tend to converge faster. Conversely, functions with less continuity experience slower convergence rates and are associated with higher Gibbs overshoot. The discussion highlights the relationship between convergence rates and Gibbs phenomenon, emphasizing the need for further exploration of these concepts.

PREREQUISITES
  • Understanding of Fourier series representation
  • Knowledge of function continuity and its impact on convergence
  • Familiarity with Gibbs phenomenon
  • Basic mathematical analysis skills
NEXT STEPS
  • Research the mathematical properties of Fourier series convergence
  • Study the relationship between function continuity and convergence rates
  • Examine the implications of Gibbs phenomenon in signal processing
  • Explore advanced topics in Fourier analysis, such as uniform convergence
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Mathematicians, engineering students, and anyone interested in the analysis of Fourier series and their convergence properties.

zheng89120
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Okay, so I didn't really understand the professor when he talked about the speed of convergence of Fourier series. The question is what kind of functions converge faster than what kind of other functions using Fourier series representation. My guess from what I have absorbed is that functions with the least continuity and resembles a cosine function the most converges the fastest. Obviously this is not entirely right, and I would like more explanation on this matter.

Thank you.

P.S. How does Gibb's phenomenon tie into the convergence of Fourier series. My guess from what I know is that functions that converge slower will have a higher Gibb's "overshoot".
 
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