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 vV onto VN is the unique vector in VN such that vp=minwVNvw.

Properties:

  1. p satisfies vp,w=0 for all wVN.
  2. p=j=1Nv,u^ju^j
  3. vp2=v2p2

Application to Fourier Series

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

The L2 error of this projection is fSn2=f22πa02π(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|fSN|2dt=EN2=ππ|f|2dt2π{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=1ancos(nt)+bnsin(nt)? (Synthesize to get a signal)

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