TheoremComplete

The Convolution Theorem

The convolution theorem establishes a fundamental connection between multiplication in the transform domain and convolution in the time domain.


Statement

Theorem4.11Convolution theorem

If L{f}=F\mathcal{L}\{f\} = F and L{g}=G\mathcal{L}\{g\} = G, then

L{f∗g}(s)=F(s)G(s)\mathcal{L}\{f * g\}(s) = F(s)G(s)

where the convolution is (f∗g)(t)=∫0tf(τ)g(t−τ) dτ(f * g)(t) = \int_0^t f(\tau)g(t - \tau)\,d\tau.


Proof

Proof

F(s)G(s)=∫0∞e−sτf(τ) dτ⋅∫0∞e−sσg(σ) dσ=∫0∞∫0∞e−s(τ+σ)f(τ)g(σ) dτ dσ.F(s)G(s) = \int_0^\infty e^{-s\tau}f(\tau)\,d\tau \cdot \int_0^\infty e^{-s\sigma}g(\sigma)\,d\sigma = \int_0^\infty\int_0^\infty e^{-s(\tau+\sigma)}f(\tau)g(\sigma)\,d\tau\,d\sigma.

Substitute t=τ+σt = \tau + \sigma (so σ=t−τ\sigma = t - \tau, dσ=dtd\sigma = dt). The region of integration τ≥0,σ≥0\tau \geq 0, \sigma \geq 0 becomes 0≤τ≤t0 \leq \tau \leq t, t≥0t \geq 0:

F(s)G(s)=∫0∞e−st(∫0tf(τ)g(t−τ) dτ)dt=∫0∞e−st(f∗g)(t) dt=L{f∗g}(s).F(s)G(s) = \int_0^\infty e^{-st}\left(\int_0^t f(\tau)g(t-\tau)\,d\tau\right)dt = \int_0^\infty e^{-st}(f*g)(t)\,dt = \mathcal{L}\{f*g\}(s).

The interchange of order of integration is justified by absolute convergence (exponential order condition). ■\blacksquare

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Applications

ExampleSolving integral equations

Solve the integral equation y(t)=t+∫0ty(τ)sin⁡(t−τ) dτy(t) = t + \int_0^t y(\tau)\sin(t-\tau)\,d\tau.

This is y=t+y∗sin⁡ty = t + y * \sin t. Taking transforms: Y=1s2+Y⋅1s2+1Y = \frac{1}{s^2} + Y \cdot \frac{1}{s^2+1}.

Y(1−1s2+1)=1s2  ⟹  Y⋅s2s2+1=1s2  ⟹  Y=s2+1s4=1s2+1s4.Y\left(1 - \frac{1}{s^2+1}\right) = \frac{1}{s^2} \implies Y\cdot\frac{s^2}{s^2+1} = \frac{1}{s^2} \implies Y = \frac{s^2+1}{s^4} = \frac{1}{s^2} + \frac{1}{s^4}.

Inverting: y(t)=t+t36y(t) = t + \frac{t^3}{6}.

ExampleVariation of parameters via convolution

The solution to y′′+ω2y=g(t)y'' + \omega^2 y = g(t), y(0)=y′(0)=0y(0) = y'(0) = 0 is:

Y(s)=G(s)s2+ω2=G(s)⋅1s2+ω2.Y(s) = \frac{G(s)}{s^2+\omega^2} = G(s) \cdot \frac{1}{s^2+\omega^2}.

By the convolution theorem: y(t)=1ω∫0tg(τ)sin⁡[ω(t−τ)] dτy(t) = \frac{1}{\omega}\int_0^t g(\tau)\sin[\omega(t-\tau)]\,d\tau.

This is precisely the variation of parameters formula, derived algebraically.


Properties of Convolution

RemarkAlgebraic properties

Convolution satisfies:

  1. Commutativity: f∗g=g∗ff * g = g * f.
  2. Associativity: (f∗g)∗h=f∗(g∗h)(f * g) * h = f * (g * h).
  3. Distributivity: f∗(g+h)=f∗g+f∗hf * (g + h) = f * g + f * h.
  4. Zero element: f∗0=0f * 0 = 0.
  5. No identity: There is no ordinary function ee with f∗e=ff * e = f for all ff. However, the Dirac delta δ\delta serves as a generalized identity: f∗δ=ff * \delta = f.
ExampleDirect computation

Compute (et∗e2t)(t)=∫0teτe2(t−τ) dτ=e2t∫0te−τ dτ=e2t(1−e−t)=e2t−et(e^t * e^{2t})(t) = \int_0^t e^\tau e^{2(t-\tau)}\,d\tau = e^{2t}\int_0^t e^{-\tau}\,d\tau = e^{2t}(1-e^{-t}) = e^{2t} - e^t.

Verification: L{e2t−et}=1s−2−1s−1=1(s−1)(s−2)=1s−1⋅1s−2=F(s)G(s)\mathcal{L}\{e^{2t}-e^t\} = \frac{1}{s-2}-\frac{1}{s-1} = \frac{1}{(s-1)(s-2)} = \frac{1}{s-1}\cdot\frac{1}{s-2} = F(s)G(s).