Fundamental Sets of Solutions — Question 10

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Question 10

For y″−y=0y''-y=0 on ℝ\mathbb R, fix L>0L>0. Seek solutions ℓ,r\ell,r with endpoint values ℓ(0)=1,ℓ(L)=0,r(0)=0,r(L)=1.\ell(0)=1,\quad\ell(L)=0,\qquad r(0)=0,\quad r(L)=1. Use sinh⁡x=(ex−e−x)/2\sinh x=(e^x-e^{-x})/2 and cosh⁡x=(ex+e−x)/2\cosh x=(e^x+e^{-x})/2.

Tasks

  1. Construct ℓ,r\ell,r from the exponential fundamental pair and prove that they also form a fundamental set.

  2. Use this pair to solve y(0)=ay(0)=a, y(L)=by(L)=b for arbitrary real a,ba,b. Prove uniqueness.

  3. For a,b≥0a,b\ge 0 and not both zero, prove positivity on 0<t<L0<t<L and y(t)≤max⁡(a,b)y(t)\le\max(a,b) on [0,L][0,L]. Determine whether ℓ(t)+r(t)=1\ell(t)+r(t)=1 in the interior.

  4. For a=b=1a=b=1, locate the unique minimum on [0,L][0,L] and give its value. Explain why positive interpolation weights do not imply straight-line interpolation.

Original worksheet page 1: question and worked solution for 3-6-010
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Question 10 – Solution

Strategy. Choose basis functions adapted to the two measurements, then inspect their positive weights.

Step 1: Build an endpoint basis. Write r=Aet+Be−tr=Ae^t+Be^{-t}. The data give A+B=0A+B=0 and A(eL−e−L)=1A(e^L-e^{-L})=1, so A=1/(2sinh⁡L)A=1/(2\sinh L) and B=−AB=-A. Reflecting rr about the midpoint gives ℓ(t)=r(L−t)\ell(t)=r(L-t), hence ℓ(t)=sinh⁡(L−t)sinh⁡L,r(t)=sinh⁡tsinh⁡L.\boxed{\ell(t)=\frac{\sinh(L-t)}{\sinh L},\qquad r(t)=\frac{\sinh t}{\sinh L}.} Both solve y″−y=0y''-y=0 and have the stated endpoint values. Their determinant at zero is ℓ(0)r′(0)−ℓ′(0)r(0)=1/sinh⁡L≠0\ell(0)r'(0)-\ell'(0)r(0)=1/\sinh L\ne 0, so they form a fundamental set on ℝ\mathbb R.

Step 2: Fit the measurements. In this pair the endpoint coefficients are exactly the prescribed values: y=aℓ+br.\boxed{y=a\ell+br.} Every solution has a unique representation, and evaluating at 0,L0,L forces its coefficients to be a,ba,b. Thus the endpoint problem has exactly one solution.

Step 3: Bound the positive weights. On 0<t<L0<t<L, both weights are positive. The hyperbolic addition identity gives ℓ(t)+r(t)=cosh⁡(t−L/2)cosh⁡(L/2)≤1(0≤t≤L),\ell(t)+r(t)=\frac{\cosh(t-L/2)}{\cosh(L/2)}\le 1\qquad(0\le t\le L), with strict inequality in the interior, since |t−L/2|<L/2|t-L/2|<L/2. If M=max⁡(a,b)M=\max(a,b), then 0<y0<y in the interior and y≤M(ℓ+r)≤My\le M(\ell+r)\le M on the full closed interval. At an endpoint the solution can equal zero if the corresponding datum is zero.

Step 4: Examine equal endpoint data. For a=b=1a=b=1, y=cosh⁡(t−L/2)cosh⁡(L/2),ymin=1cosh⁡(L/2) at t=L/2.y=\frac{\cosh(t-L/2)}{\cosh(L/2)},\qquad \boxed{y_{\min}=\frac 1{\cosh(L/2)}\text{ at }t=L/2.} The minimum is unique because cosh⁡x\cosh x has its unique minimum at zero. The weights are positive but sum to less than one inside; this is not the straight-line interpolation of equal endpoint values.

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