MATH 414 Lecture 13

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Convergence in the Mean

(also called convergence)



Orthogonal projections

Set-up:

  1. Inner Product Space ,
  2. Subspace with orthonormal basis

The orthogonal projection of onto is the unique vector in such that .

Properties:

  1. satisfies for all .

Application to Fourier Series

With Fourier Series, we project a function onto the vector space (this basis is indeed orthonormal.

The error of this projection is


Theorem. converges to in the mean if and only if

Proof. . If converges to 0, then must also converge to 0.

quod erat demonstrandum

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Analysis and Synthesis

Given , it's easy to come up with a Fourier series (Analysis of signal)

However, Given , , and , is there a such that ? (Synthesize to get a signal)

Answer. Yes! As long as is finite, but this requires integrals (Riesz-Fisher Theorem) because Riemann integrals don't work.