The Hilbert space L²([0,2pi], R) and Fourier series.

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SUMMARY

The set E={sin(nx), cos(nx): n in N ∪ {0}} is established as a maximal orthonormal basis for the Hilbert space L²([0,2π], R) of square integrable functions. To prove this, one must demonstrate that E is a maximal orthonormal set, that the orthogonal complement of E is trivial, and that the span of E is dense in L². This proof confirms that L² functions are equal to their Fourier series without relying on the convergence of L² functions to their Fourier series.

PREREQUISITES
  • Understanding of Hilbert spaces and their properties
  • Familiarity with orthonormal bases and maximal sets
  • Knowledge of Fourier series and their convergence
  • Basic principles of functional analysis
NEXT STEPS
  • Study the properties of maximal orthonormal sets in Hilbert spaces
  • Learn about the concept of orthogonal complements in functional analysis
  • Research the density of spans in L² spaces
  • Explore the implications of Fourier series in the context of L² convergence
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Mathematicians, students of functional analysis, and anyone studying Fourier series and Hilbert spaces will benefit from this discussion.

quasar987
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Homework Statement


Is there a way to prove that E={sin(nx), cos(nx): n in N u {0}} is a maximal orthonormal basis for the Hilbert space L²([0,2pi], R) of square integrable functions (actually the equivalence classes "modulo equal almost everywhere" of the square integrable functions)?

I mean, I am asking if we can show directly, using the definition or some other characterization, that E is a Hilbert space basis for L², so that we can conclude that L² functions are equal to their Fourier series. In other words, we can't use the fact that L² functions converge to their Fourier series to show that E is maximal.


Homework Equations



Relevant characterizations of "E is a hilbert space basis" that I am aware of:

(1) E is a maximal orthonormal set
(2) the orthogonal complement of E is trivial
(3) the span of E is dense



The Attempt at a Solution

 

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