4.6.32 · D4Ordinary Differential Equations

Exercises — Convolution theorem — proof, applications

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Figure — Convolution theorem — proof, applications

The picture above is the mental model for every problem below: we slide one flipped graph across another and add up the overlap. Keep it in your head.


LEVEL 1 — Recognition

Here we only ask: is this a convolution, and what are the two pieces? No heavy integration yet.

Recall Solution L1.1

The test: in a convolution the two arguments must ==add up to == (), and the upper limit must be .

  • (a) Arguments are and — they add to . Limits are to . ✅ This is a convolution with (so ) and (so ).
  • (b) Both factors use , — arguments are and , they do not add to . ❌ Just an ordinary integral, not a convolution.
  • (c) Upper limit is , not . ❌ Not the causal convolution we defined (it's a different object). Answer: only (a); .
Recall Solution L1.2

Split the product. . Recall the standard pairs (from Laplace Transform — definition and properties): Why ? Because , so , and we need to divide by . Apply the theorem: Done — this is the requested convolution form.


LEVEL 2 — Application

Now we actually compute convolutions and use the theorem forwards and backwards.

Recall Solution L2.1

Direct. Here : Theorem check. , so the product in the -world is , and . ✅ Same answer. This is the cleanest proof that convolution ≠ pointwise product: but .

Recall Solution L2.2

. By commutativity () put the easier-to-integrate factor with the flip. Let's keep : Why pull out ? Because and is constant with respect to the running clock . Integrate by parts (): Multiply back by : Sanity via theorem: , and . Common denominator : numerator . So it equals . ✅

Recall Solution L2.3

Split: . Inverses: and (since , here , so we divide by ). Let ; as , : Check: . ✅


LEVEL 3 — Analysis

Now we combine convolution with ODEs and dissect why each step works.

Recall Solution L3.1

Take Laplace, using (both zero): is a product of two -functions, so its inverse is a convolution: Why this is beautiful: is the system's response to a unit impulse. Any input produces — the output is the input, smeared by the impulse response. That "smearing" is convolution.

Recall Solution L3.2

Spot the convolution. because arguments and add to . (See Volterra Integral Equations.) Laplace both sides. , , and convolution → product: Solve algebraically (this is the whole point — the integral became algebra): Note , so . Partial fractions (see Inverse Laplace Transform — partial fractions):

  • : .
  • : .
  • Compare coefficients: . Invert term by term: Spot check at : . And the RHS at is . ✅

LEVEL 4 — Synthesis

Multi-step problems where you must assemble several ideas.

Recall Solution L4.1

Laplace with : . First term inverts to . Second term is a product , so it's . From the parent note (App 2): Add: Check IVs: ✅. , so ✅.

Recall Solution L4.2

Way 1 — convolution. Split . Inverses: , . So we need : Product-to-sum: (using with ). The second bracket: . Way 2 — known transform. (differentiate trick / table). Hence . Agree: both give . ✅


LEVEL 5 — Mastery

Open-ended, structural, or general-parameter problems.

Recall Solution L5.1

General . Laplace with zero IVs: , so Now (because , so we divide by ). This is the impulse response . The product inverts to the convolution: Degenerate . The equation becomes . Take the limit inside the kernel: as , (since for small ). So Interpretation / check: with zero IVs means integrate twice; and indeed is exactly the double antiderivative (differentiate once ⇒ , twice ⇒ ). ✅ The kernel degrades gracefully — no blow-up.

Figure — Convolution theorem — proof, applications
Recall Solution L5.2

Near : (rises linearly from — the system hasn't "filled up" yet). : no output before any input has accumulated. As : , so . The output saturates at the input level — a classic first-order "charging" curve. This is the frequency-domain cousin's step response. Cross-check via theorem: , , product , inverse . ✅

Recall Solution L5.3

For : Why only ? Because for — the kernel is a thin, tall pulse of area . That last integral is the average of over a window of width ending at . As , the average of a continuous function over a shrinking window converges to the point value: Interpretation: the unit-area pulse acts as the identity of convolution — convolving with it returns unchanged. That's exactly the role of the Dirac delta: . Every impulse-response derivation in L3/L5.1 secretly relies on this.


Active Recall

Reveal answers:

Is a convolution?
Yes, convolved with (arguments add to ).
Value of ?
.
Value of ?
.
Impulse response of ?
.
as a convolution?
.
Limit of as ?
, since ; the singularity is removable.

Connections

Concept Map

Product F times G in s world

Convolution in t world

Inverse Laplace shortcut

ODE with impulse response

Volterra integral equation

Kernel sin omega t over omega

Integral becomes algebra