Convolution Integrals — Question 5

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Question 5

All functions are causal (zero for t<0t<0). Use the one-sided Laplace transform and (f*g)(t)=∫0tf(t−u)g(u)du(f*g)(t)=\int_0^t f(t-u)g(u)\,du. Write Ha(t)=0H_a(t)=0 for t<at<a and 11 for t≥at\ge a. Values at isolated endpoints do not affect an ordinary integral.

For a real parameter λ\lambda, solve the Volterra integral equation u(t)=1+λ∫0te−(t−τ)u(τ)dτ,t≥0.u(t)=1+\lambda\int_0^t e^{-(t-\tau)}u(\tau)\,d\tau, \qquad t\ge 0. Seek a continuous solution on the entire half-line.

Tasks

  1. Use transforms to derive the solution, treating every exceptional parameter value explicitly.

  2. Derive an equivalent first-order IVP and prove the converse implication, establishing uniqueness among continuous solutions.

  3. Classify boundedness, positivity and long-time behavior for all real λ\lambda, including λ=0\lambda=0.

  4. Give the exact real transform domain in every case. Explain why exponential decay of the memory kernel does not by itself guarantee a bounded solution.

Original worksheet page 1: question and worked solution for 4-9-005
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Question 5 – Solution

Strategy. Feedback changes the effective growth rate. Verify the transformed candidate through an equivalent IVP so no growth assumption is needed for uniqueness.

Step 1: Solve the transformed equation. Initially for sufficiently large ss, U=1s+λUs+1,U=s+1s(s+1−λ).U=\frac 1s+\frac{\lambda U}{s+1},\qquad U=\frac{s+1}{s(s+1-\lambda)}. Partial fractions give u(t)=1−λe(λ−1)t1−λ(λ≠1),u(t)=1+t(λ=1).\boxed{u(t)=\frac{1-\lambda e^{(\lambda-1)t}}{1-\lambda} \quad(\lambda\ne 1),\qquad u(t)=1+t\quad(\lambda=1).} In particular λ=0\lambda=0 gives u=1u=1; the factor s+1s+1 then cancels in UU.

Step 2: Prove equivalence without assuming a transform. For continuous uu, define v=e−t*uv=e^{-t}*u. Differentiation gives v′=u−vv'=u-v, v(0)=0v(0)=0. The integral equation makes uu continuously differentiable and yields u′=(λ−1)u+1,u(0)=1.u'=(\lambda-1)u+1,\qquad u(0)=1. Conversely, let uu solve this IVP and form vv as above. The residual w=u−1−λvw=u-1-\lambda v satisfies w′=−u+1+λv=−ww'=-u+1+\lambda v=-w and w(0)=0w(0)=0. Hence w=0w=0 and the integral equation holds, including at λ=0\lambda=0. The linear IVP has a unique global solution, which proves the asserted existence and uniqueness.

Step 3: Classify all parameters. For λ<1\lambda<1, the solution is bounded and tends to 1/(1−λ)>01/(1-\lambda)>0. For λ=1\lambda=1 it grows linearly; for λ>1\lambda>1 it grows exponentially with positive leading coefficient λ/(λ−1)\lambda/(\lambda-1). For λ≠1\lambda\ne 1, u′=λe(λ−1)tu'=\lambda e^{(\lambda-1)t}: it decreases from 11 to a positive limit when λ<0\lambda<0, is constant when λ=0\lambda=0, and increases when λ>0\lambda>0. Thus it is positive for every real λ\lambda and every t≥0t\ge 0.

Step 4: Inspect the actual transform domain. For λ<1\lambda<1 the positive nonzero limiting constant forces s>0s>0; for λ=1\lambda=1 the linear term also requires s>0s>0. For λ>1\lambda>1 the nonzero exponential requires s>λ−1s>\lambda-1. Consequently s>0(λ≤1),s>λ−1(λ>1).\boxed{s>0\ (\lambda\le 1),\qquad s>\lambda-1\ (\lambda>1).} Positive feedback can offset or exceed the kernel’s decay. The rate in the equivalent equation is λ−1\lambda-1, not simply the kernel’s rate −1-1.

Original worksheet page 2: question and worked solution for 4-9-005

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