Taylor series vs. Fourier series

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SUMMARY

The discussion clarifies the relationship between Taylor series and Fourier series, establishing that while both are used to express functions, they utilize different bases: Taylor series use polynomial functions, whereas Fourier series employ trigonometric functions. Unlike Taylor series, which require functions to be infinitely differentiable at a specific point for convergence, Fourier series can converge for functions that are merely integrable (L^1). The convergence of Fourier series is guaranteed almost everywhere for functions in L^p spaces with p > 1, a significant result established in the late 1960s.

PREREQUISITES
  • Understanding of Taylor series and their properties
  • Knowledge of Fourier series and trigonometric functions
  • Familiarity with concepts of integrability (L^1 and L^p spaces)
  • Basic calculus, particularly differentiation and limits
NEXT STEPS
  • Study the properties of Fourier series and their convergence criteria
  • Explore the implications of L^p spaces in functional analysis
  • Investigate the historical development of convergence theorems in Fourier analysis
  • Learn about the applications of Fourier series in signal processing
USEFUL FOR

Mathematicians, physicists, and engineers interested in advanced calculus, particularly those working with series expansions and signal analysis.

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Is a Fourier series essentially the analogue to a Taylor series except expressing a function as trigs functions rather than as polynomials? Like the Taylor series, is it ok only for analytic functions, i.e. the remainder term goes to zero as n->infinity?
 
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A Taylor series has to be expanded around a specific point, and the coefficients consist of the derivatives of the function at that point: in particular, the function must be infinitely differentiable there. Convergence may be limited to a neighborhood of a certain radius around that point.

The Fourier series for a function is not dependent upon a specific point. A function need not be infinitely differentiable at any point (or even differentiable at all) to have a Fourier series. Every function that is integrable ([itex]L^1[/itex]) has a formal Fourier series, i.e., the coefficients exist.

Mere continuity is sufficient to ensure convergence almost everywhere. More generally, if [itex]f[/itex] is any function in [itex]L^p[/itex] for [itex]p > 1[/itex], then the Fourier series for [itex]f[/itex] converges almost everywhere. (This is a very hard result that wasn't obtained until the late 1960s.) On the other hand, there exists an [itex]L^1[/itex] function whose Fourier series diverges at every point.
 
The Taylor series is essentialy the Fourier series on a loop around the point of expansion.
 

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