Heat Equation with Non-Zero Temperature Boundaries — Question 9

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Question 9

A rod on 0<x<10<x<1 obeys ut=uxxu_t=u_{xx} with unknown constant boundary temperatures A,BA,B. It is known that its full field has the form u(x,t)=A+(B−A)x+Ce−π2tsin⁡(πx).u(x,t)=A+(B-A)x+C e^{-\pi^2t}\sin(\pi x). Sensors at x=1/3,2/3x=1/3,2/3 record yL(t),yR(t)y_L(t),y_R(t). Set m(t)=(yL(t)+yR(t))/2m(t)=(y_L(t)+y_R(t))/2 and let Δ>0\Delta>0 be known.

Tasks

  1. Derive which combination of the readings identifies the stationary gradient immediately, even before the transient has decayed.

  2. Use readings at times 0,Δ0,\Delta to recover A,B,CA,B,C uniquely. State the consistency condition on the differences of the two pairs of readings.

  3. For Δ=(log⁡2)/π2\Delta=(\log 2)/\pi^2, use readings (8/3,10/3)(8/3,10/3) at zero and (13/6,17/6)(13/6,17/6) at Δ\Delta to find the complete field and verify the readings and boundary values.

  4. Explain why one pair of simultaneous readings cannot identify all three parameters. For small Δ\Delta, quantify amplification of errors in the two averaged readings when estimating the mean of the boundary temperatures.

Original worksheet page 1: question and worked solution for 9-6-009
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Question 9 – Solution

Strategy. Equal sine values at the two sensors let their difference cancel the transient; a second observation time separates the remaining steady and decaying parts.

Step 1: Cancel the equal transient values. At both sensor positions, sin⁡(πx)=3/2\sin(\pi x)=\sqrt 3/2. Thus d:=B−A=3(yR−yL),m(t)=S+Ke−π2t,S=(A+B)/2,K=3C/2.d:=B-A=3(y_R-y_L),\qquad m(t)=S+K e^{-\pi^2t},\quad S=(A+B)/2,\quad K=\sqrt 3 C/2. The difference determines the stationary gradient at any measurement time. It must be unchanged between the two observations if the assumed model holds.

Step 2: Invert the two-time averages. Put r=e−π2Δ∈(0,1)r=e^{-\pi^2\Delta}\in(0,1). From m0=S+Km_0=S+K, mΔ=S+rKm_\Delta=S+rK, K=m0−mΔ1−r,S=mΔ−rm01−r,A=S−d/2,B=S+d/2,C=2K/3.\boxed{K=\frac{m_0-m_\Delta}{1-r},\quad S=\frac{m_\Delta-rm_0}{1-r},\quad A=S-d/2,\ B=S+d/2,\ C=2K/\sqrt 3.} The denominator is nonzero because Δ>0\Delta>0. Equality of the observed differences is the only additional consistency condition; with it these parameters reconstruct all four readings under the stated model.

Step 3: Reconstruct the numerical example. Here r=1/2r=1/2, d=2d=2, m0=3m_0=3 and mΔ=5/2m_\Delta=5/2. Thus S=2S=2, K=1K=1 and A=1,B=3,C=2/3,u=1+2x+23e−π2tsin⁡(πx).\boxed{A=1,\quad B=3,\quad C=2/\sqrt 3,\qquad u=1+2x+\frac 2{\sqrt 3}e^{-\pi^2t}\sin(\pi x).} The endpoint values are one and three. The sensor transients are one at zero and one half at Δ\Delta, giving exactly the four supplied readings. The linear stationary part and the decaying sine verify ut=uxxu_t=u_{xx}.

Step 4: State the identifiability and conditioning limits. A single pair gives dd and S+KS+K, leaving infinitely many choices of S,KS,K. For two times, errors e0,eΔe_0,e_\Delta in the averages cause δS=(eΔ−re0)/(1−r)\delta S=(e_\Delta-r e_0)/(1-r). If |e0|,|eΔ|≤η|e_0|,|e_\Delta|\le\eta, |δS|≤1+r1−rη∼2ηπ2Δ(Δ↓0).|\delta S|\le\frac{1+r}{1-r}\eta\sim\frac{2\eta}{\pi^2\Delta} \quad(\Delta\downarrow 0). Opposite-signed errors attain the bound. Very close observations are therefore poorly conditioned even though the noiseless parameters are unique.

Original worksheet page 2: question and worked solution for 9-6-009

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