MATH 414 Lecture 13

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Convergence in the Mean

(also called L2 convergence)



Orthogonal projections

Set-up:

  1. Inner Product Space V, ⟨⋅,⋅⟩
  2. Subspace with orthonormal basis VN=Span{u^1,u^2,…,u^N}

The orthogonal projection p→ of v→∈V onto VN is the unique vector in VN such that ‖v→−p→‖=minw→∈VN‖v→−w→‖.

Properties:

  1. p→ satisfies ⟨v→−p→,w→⟩=0 for all w→∈VN.
  2. p→=∑j=1N⟨v→,u^j⟩u^j
  3. ‖v→−p→‖2=‖v→‖2−‖p→‖2

Application to Fourier Series

With Fourier Series, we project a function f onto the vector space VN=Span{12π,1πcos⁡t,1πsin⁡t,…,1πcos⁡(Nt),1πsin⁡(Nt)} (this basis is indeed orthonormal.

The L2 error of this projection is ‖f−Sn‖2=‖f‖2−2πa02−π(∑k=1Nak2+bk2)


Theorem. Sn converges to f in the mean if and only if

∫−ππ|f(t)|2dt=2π(a022+∑n=1∞(an2+bn2))

Proof. ∫−ππ|f−SN|2dt=EN2=∫−ππ|f|2dt−2π{a022+∑k=1N(ak2+bk2)}. If EN2 converges to 0, then ∑k=1N(ak2+bk2) must also converge to 0.

quod erat demonstrandum

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Analysis and Synthesis

Given f(t), it's easy to come up with a Fourier series (Analysis of signal)

However, Given a0, an, and bn, is there a f(t) such that f(t)=a0+∑n=1∞ancos⁡(nt)+bnsin⁡(nt)? (Synthesize to get a signal)

Answer. Yes! As long as a02+∑n=1∞an2+bn2 is finite, but this requires L2 integrals (Riesz-Fisher Theorem) because Riemann integrals don't work.