4.6.32 · D4 · HinglishOrdinary Differential Equations

ExercisesConvolution theorem — proof, applications

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4.6.32 · D4 · Maths › Ordinary Differential Equations › Convolution theorem — proof, applications

Figure — Convolution theorem — proof, applications

Upar wali picture har problem ke liye mental model hai: hum ek flipped graph ko doosre par slide karte hain aur overlap add karte hain. Ise apne dimag mein rakho.


LEVEL 1 — Recognition

Yahaan sirf ye puchha ja raha hai: kya ye ek convolution hai, aur do pieces kya hain? Abhi koi bhaari integration nahi.

Recall Solution L1.1

Test: convolution mein dono arguments ==milakar bante hain== (), aur upper limit honi chahiye.

  • (a) Arguments hain aur — ye milakar bante hain. Limits se hain. ✅ Ye convolution hai jisme (matlab ) aur (matlab ).
  • (b) Dono factors mein , hai — arguments aur hain, ye milakar nahi bante. ❌ Ye sirf ek ordinary integral hai, convolution nahi.
  • (c) Upper limit hai, nahi. ❌ Ye woh causal convolution nahi jo humne define ki (ye ek alag cheez hai). Answer: sirf (a); .
Recall Solution L1.2

Product split karo. . Standard pairs yaad karo (Laplace Transform — definition and properties se): kyun? Kyunki , isliye , aur hume se divide karna padta hai. Theorem apply karo: Ho gaya — ye maangi gayi convolution form hai.


LEVEL 2 — Application

Ab hum actually convolutions compute karte hain aur theorem ko aage-peeche dono taraf use karte hain.

Recall Solution L2.1

Direct. Yahaan : Theorem check. , toh -world mein product hai , aur . ✅ Same answer. Ye sabse clean proof hai ki convolution ≠ pointwise product: lekin .

Recall Solution L2.2

. Commutativity ki wajah se () jise integrate karna aasaan ho use flip ke saath rakho. rakho: bahar kyun nikala? Kyunki aur running clock ke liye constant hai. Integration by parts karo (): se multiply karo: Theorem se sanity check: , aur . Common denominator : numerator . Toh ye ke barabar hai. ✅

Recall Solution L2.3

Split: . Inverses: aur (kyunki , yahaan hai, isliye se divide karo). rakho; jab , toh : Check: . ✅


LEVEL 3 — Analysis

Ab hum convolution ko ODEs ke saath combine karte hain aur dissect karte hain ki har step kyun kaam karta hai.

Recall Solution L3.1

Laplace lo, use karke (dono zero hain): do -functions ka product hai, isliye uska inverse ek convolution hai: Ye kyun beautiful hai: system ka unit impulse ke liye response hai. Koi bhi input produce karta hai: — output wo input hai jo impulse response se smeared ho gayi. Yahi "smearing" hai convolution.

Recall Solution L3.2

Convolution pehchano. kyunki arguments aur milakar bante hain. (Dekho Volterra Integral Equations.) Dono sides ka Laplace lo. , , aur convolution → product: Algebraically solve karo (yahi poora point hai — integral algebra ban gaya): Note karo , toh . Partial fractions (dekho Inverse Laplace Transform — partial fractions):

  • : .
  • : .
  • coefficients compare karo: . Term by term invert karo: Spot check at : . Aur RHS at hai . ✅

LEVEL 4 — Synthesis

Multi-step problems jahan tumhe kaafi ideas assemble karne padte hain.

Recall Solution L4.1

ke saath Laplace: . Pehla term mein invert hota hai. Doosra term product hai , toh ye hai. Parent note se (App 2): Jodo: IVs check karo: ✅. , toh ✅.

Recall Solution L4.2

Tarika 1 — convolution. Split karo . Inverses: , . Toh hume chahiye: Product-to-sum: ( use karke, ke saath). Doosra bracket: . Tarika 2 — known transform. (table / differentiate karne ki trick). Isliye . Agree karte hain: dono dete hain . ✅


LEVEL 5 — Mastery

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

Recall Solution L5.1

General . Zero IVs ke saath Laplace: , toh Ab (kyunki , toh se divide karo). Ye impulse response hai. Product convolution mein invert hota hai: Degenerate . Equation ban jaati hai . Limit ko kernel ke andar lo: jab , (kyunki chhote ke liye ). Toh Interpretation / check: zero IVs ke saath matlab ko twice integrate karo; aur sach mein exactly double antiderivative hai (ek baar differentiate karo ⇒ , do baar ⇒ ). ✅ Kernel gracefully degrade karta hai — koi blow-up nahi.

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

ke paas: (linearly se utha — system abhi "fill" nahi hua). : koi bhi input accumulate hone se pehle output nahi. Jab : , toh . Output input level par saturate ho jaata hai — classic first-order "charging" curve. Ye frequency-domain cousin ka step response hai. Theorem se cross-check: , , product , inverse . ✅

Recall Solution L5.3

ke liye: Sirf kyun? Kyunki ke liye hai — kernel ek patla, ooncha pulse hai jiska area hai. Woh last integral par khatam hone wali width ki window par ka average hai. Jab , ek continuous function ka ek shrinking window par average point value par converge karta hai: Interpretation: unit-area pulse convolution ka identity hai — isse convolve karne par wapas milti hai. Yahi Dirac delta ka role hai: . L3/L5.1 mein har impulse-response derivation secretly isi par rely karti hai.


Active Recall

Reveal answers:

Kya ek convolution hai?
Haan, convolved with (arguments add up to ).
ki value?
.
ki value?
.
ka impulse response?
.
ek convolution ke roop mein?
.
par ki limit?
, kyunki ; singularity removable hai.

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