Real & Distinct Roots — Question 6

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Question 6

Consider homogeneous constant-coefficient equations with two distinct real roots r1<r2r_1<r_2 and endpoint data y(0)=ay(0)=a, y(L)=by(L)=b, where L>0L>0.

Tasks

  1. Prove that every pair a,b∈ℝa,b\in\mathbb R determines exactly one solution by solving for the two mode coefficients. Identify the quantity that cannot vanish.

  2. Solve y″−3y′+2y=0y''-3y'+2y=0 with y(0)=y(ln⁡2)=1y(0)=y(\ln 2)=1.

  3. Prove that a nonzero combination Aer1t+Ber2tAe^{r_1t}+Be^{r_2t} has at most one real zero. Treat vanishing coefficients explicitly, and deduce positivity between strictly positive endpoints.

  4. For the solution in Task 2, find its maximum on [0,ln⁡2][0,\ln 2] and sketch it. Does positivity between positive endpoints mean the solution stays below its endpoint values?

Original worksheet page 1: question and worked solution for 3-2-006
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Question 6 – Solution

Strategy. Use the strict inequality of real exponentials to solve the endpoint problem and control the number of zeros.

Step 1: Invert the endpoint constraints. For y=Aer1t+Ber2ty=Ae^{r_1t}+Be^{r_2t}, the conditions give A+B=aA+B=a and Aer1L+Ber2L=bAe^{r_1L}+Be^{r_2L}=b. Therefore B=b−aer1Ler2L−er1L,A=a−B.B=\frac{b-ae^{r_1L}}{e^{r_2L}-e^{r_1L}},\qquad A=a-B. Because r2>r1r_2>r_1 and L>0L>0, the denominator is strictly positive. There is exactly one coefficient pair for all endpoint data, unlike some oscillatory endpoint problems.

Step 2: Fit the concrete equation. Here the roots are 1 and 2. At L=ln⁡2L=\ln 2, the equations are A+B=1A+B=1 and 2A+4B=12A+4B=1. Hence y=32et−12e2t.\boxed{y=\frac 32e^t-\frac 12e^{2t}}. Both endpoints have value 1, and each mode satisfies the original equation.

Step 3: Bound the number of zeros and deduce positivity. Factor the general solution as er1t(A+Be(r2−r1)t)e^{r_1t}(A+Be^{(r_2-r_1)t}). If B≠0B\ne 0, the bracket is strictly monotone, so it has at most one zero. If B=0B=0, a nonzero solution is a nonvanishing pure exponential; the case A=0A=0 is likewise nonvanishing.

If a solution with positive endpoints became negative inside, continuity would force two distinct zeros. If it merely touched zero inside while staying nonnegative, that interior minimum would have y=y′=0y=y'=0; initial-value uniqueness would force the identically zero solution, contradicting the endpoints. Thus it is strictly positive throughout the interval.

See the diagram in the original worksheet below.

Step 4: Distinguish positivity from an upper bound. For the concrete solution, y′=et(3/2−et)y'=e^t(3/2-e^t) changes from positive to negative at t=ln⁡(3/2)t=\ln(3/2), which lies between 0 and ln⁡2\ln 2. Its value there is ymax=3232−1294=98>1.\boxed{y_{\max}=\frac 32\frac 32-\frac 12\frac 94=\frac 98>1}. The curve stays positive but exceeds both endpoint values. A restriction on zeros is not a maximum principle bounding the response by its endpoints.

Original worksheet page 2: question and worked solution for 3-2-006

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