4.6.32 · D3 · Maths › Ordinary Differential Equations › Convolution theorem — proof, applications
Yeh note convolution theorem note ka hands-on companion hai. Wahan humne L { f ∗ g } = F ( s ) G ( s ) prove kiya tha. Yahan hum ise drill karenge jab tak har tarah ki problem — har sign, har degenerate input, har trap — ek baar mil na jaye.
Intuition "Convolution" ka matlab, ek aur baar, ek picture mein
Convolution ( f ∗ g ) ( t ) = ∫ 0 t f ( τ ) g ( t − τ ) d τ ek blend hai: ek fixed present moment t ke liye, hum g ki ek flipped copy ko f ke upar slide karte hain aur overlap ko add karte hain. Variable τ ek clock hai jo 0 (shuruaat) se t (abhi) tak chalta hai. Dono arguments τ aur t − τ hamesha t mein add up hote hain — yahi poora raaz hai.
Figure s01 — picture padhna. Horizontal axis running clock τ hai; vertical axis leftover time t − τ hai. Saath milke yeh sabhi ( τ , t − τ ) pairs ke quarter-plane ko label karte hain. Har faint black line ek fixed present moment ki diagonal hai; bold red diagonal woh hai jo t = 4 ke liye hai. Us red line ka har point τ + ( t − τ ) = t satisfy karta hai — dono black arrows horizontal piece τ aur vertical piece t − τ ko t mein add hote dikhate hain. Convolution us red diagonal ke har point par product f ( τ ) g ( t − τ ) leta hai aur sab ko add karta hai. Woh diagonal-ke-saath-summing hi convolution hai.
Kisi bhi symbol se darne se pehle, yahan ek chota dictionary hai jo hum baar baar use karenge:
Definition Is page ke teen symbols
L { f } = F ( s ) : Laplace transform — ek machine jo time-function f ( t ) leta hai aur s -function F ( s ) deta hai. (Laplace Transform — definition and properties mein bana hai.)
L − 1 : inverse — wahi machine ulti chalti hui, F ( s ) ko wapas f ( t ) mein badal deti hai.
∗ : convolution , upar wala blend integral. Ise kabhi ordinary multiplication × se mat confuse karo.
Definition Standing hypothesis (causal / one-sided functions)
Is page par sab kuch yeh assume karta hai ki f ( t ) aur g ( t ) causal hain: woh t < 0 ke liye 0 hain aur t ≥ 0 ke liye defined hain. Yeh standard Laplace-transform setting hai, kyunki L { f } = ∫ 0 ∞ e − s t f ( t ) d t sirf t ≥ 0 dekhta hai.
Yeh limits ke liye kyun matter karta hai. Kyunki g ( u ) = 0 jab bhi uska argument u < 0 ho, factor g ( t − τ ) 0 ho jaata hai jaise hi τ > t hota hai. Isliye "sach wala" integral ∫ 0 ∞ f ( τ ) g ( t − τ ) d τ collapse ho jaata hai ∫ 0 t mein — upper limit t hai, ∞ nahi . Yeh causality assumption exactly woh cheez hai jo [ 0 , t ] limits aur convolution theorem L { f ∗ g } = F ( s ) G ( s ) ko poore mein use karne ki permission deti hai.
Is topic ki har problem in cells mein se ek mein aati hai. Neeche ke worked examples mein se har ek us cell ke saath tagged hai jo woh cover karta hai, aur saath milke yeh sab ko hit karte hain.
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Cell (scenario class)
Isme kya tricky hai
Example
C1
Degenerate input : constant 1 ke saath convolve karna
Kya f ∗ 1 sirf f hai? (Nahi — yeh integrate karta hai!)
Ex 1
C2
Dono factors polynomial (1/ s m ⋅ 1/ s n )
Pure power algebra, koi trig nahi
Ex 2
C3
Repeated factor 1/ ( s 2 + a 2 ) 2
Same trig apne aap se blend ho raha hai
Ex 3
C4
Mixed exponential × trig
Integral mein sign bookkeeping
Ex 4
C5
Do alag exponentials (e a t , e b t )
Degenerate limit a → b
Ex 5
C6
ODE solve karo convolution se
s -answer ko blend mein convert karo
Ex 6
C7
Volterra integral equation
Hidden ∗ ko pehchano
Ex 7
C8
Word problem / real system (impulse response)
Physics → convolution translate karo
Ex 8
C9
Exam twist : commutativity + kaun sa factor flip karen
Aasaan integrand chuno
Ex 9
Jahan ek cell ka koi limiting / degenerate sub-case hai (jaise a → b ), woh example explicitly handle karta hai taaki koi unseen scenario kabhi na mile.
t 2 ∗ 1 compute karo aur "convolve-with-1 = integrate" rule check karo.
Pehle forecast karo: andaza lagao — kya t 2 ∗ 1 barabar t 2 hai (jaise 1 se multiply karna) ya kuch bada? Aage padhne se pehle apna guess likh lo.
Step 1. Pieces identify karo: f ( τ ) = τ 2 aur g ( t − τ ) = 1 (constant function har jagah 1 hai).
Yeh step kyun? Convolution ko dono factors running variable τ ke functions ke roop mein chahiye. Constant function argument chahe kuch bhi ho, 1 rehti hai.
Step 2. Integral likho:
t 2 ∗ 1 = ∫ 0 t τ 2 ⋅ 1 d τ .
Yeh step kyun? ( f ∗ g ) ( t ) = ∫ 0 t f ( τ ) g ( t − τ ) d τ mein direct substitution. Kyunki g ≡ 1 hai, 1 ke saath convolve karna literally 0 se t tak integrate karna hai — yahi intuition rakho.
Step 3. Integrate karo:
∫ 0 t τ 2 d τ = 3 t 3 .
Verify (theorem se): L { t 2 } = s 3 2 aur L { 1 } = s 1 . Unka product s 4 2 hai, aur L − 1 { s 4 2 } = 3 ! 2 t 3 = 3 t 3 . ✓
Moral: 1 ke saath convolve karna identity nahi hai — yeh integration hai. Tumhara "sirf t 2 " wala forecast classic trap hota.
Worked example Convolution se
L − 1 { s 3 s 2 1 } = L − 1 { s 5 1 } nikalo.
Forecast: do power factors → answer ek single power of t honi chahiye. Kaun si power? Andaza lagao.
Step 1. Split karo: F ( s ) = s 3 1 ⇒ f ( t ) = 2 t 2 , aur G ( s ) = s 2 1 ⇒ g ( t ) = t .
Yeh step kyun? L { t n } = s n + 1 n ! , isliye s 3 1 ↔ 2 ! t 2 aur s 2 1 ↔ 1 ! t 1 .
Step 2. Convolve karo:
( f ∗ g ) ( t ) = ∫ 0 t 2 τ 2 ( t − τ ) d τ .
Yeh step kyun? Theorem apply karo; f ( τ ) = τ 2 /2 andar rakho aur g ko g ( t − τ ) = t − τ mein flip karo.
Step 3. Expand karo aur integrate karo:
2 1 ∫ 0 t ( t τ 2 − τ 3 ) d τ = 2 1 [ 3 t t 3 − 4 t 4 ] = 2 1 ⋅ 12 t 4 = 24 t 4 .
Verify: L { t 4 /24 } = 24 s 5 4 ! = 24 s 5 24 = s 5 1 . ✓ Power 4 hai, 1/ s 5 se match karta hai.
y ′′ + 4 y = 0 ki zaroorat nahi, lekin yeh chahiye: L − 1 { ( s 2 + 4 ) 2 1 } .
Forecast: sin -type ka squared denominator. sin aur ek t cos term expect karo (resonance signature). Exact form guess karo.
Step 1. Pehchano ( s 2 + 4 ) 2 1 = s 2 + 4 1 ⋅ s 2 + 4 1 , aur L − 1 { s 2 + 4 1 } = 2 sin 2 t .
Yeh step kyun? L { sin a t } = s 2 + a 2 a , isliye a = 2 ke saath s 2 + 4 2 milta hai; 2 se divide karne par hamara factor milta hai.
Step 2. g ko apne aap se convolve karo, jahan g ( t ) = 2 1 sin 2 t :
y = ∫ 0 t 2 1 sin ( 2 τ ) ⋅ 2 1 sin ( 2 ( t − τ ) ) d τ = 4 1 ∫ 0 t sin 2 τ sin ( 2 t − 2 τ ) d τ .
Yeh step kyun? Direct application; dono arguments 2 τ aur 2 ( t − τ ) milke 2 t dete hain.
Step 3. Product-to-sum: sin A sin B = 2 1 [ cos ( A − B ) − cos ( A + B )] jahan A = 2 τ , B = 2 t − 2 τ , isliye A − B = 4 τ − 2 t aur A + B = 2 t :
y = 8 1 ∫ 0 t [ cos ( 4 τ − 2 t ) − cos 2 t ] d τ .
Yeh step kyun? cos 2 t term τ mein constant hai; doosra cleanly integrate hota hai.
Step 4. Integrate karo:
8 1 [ 4 s i n ( 4 τ − 2 t ) − τ cos 2 t ] 0 t = 8 1 [ 4 s i n 2 t − s i n ( − 2 t ) − t cos 2 t ] = 8 1 [ 4 2 s i n 2 t − t cos 2 t ] = 8 1 [ 2 s i n 2 t − t cos 2 t ] .
Yeh step kyun? Upper limit τ = t par: sin ( 4 t − 2 t ) = sin 2 t ; lower limit τ = 0 par: sin ( − 2 t ) = − sin 2 t , isliye bracket difference sin 2 t − ( − sin 2 t ) = 2 sin 2 t deta hai, aur 2 sin 2 t /4 = sin 2 t /2 .
Step 5. 8 1 ko carefully distribute karo:
y = 8 1 ⋅ 2 s i n 2 t − 8 1 ⋅ t cos 2 t = 16 s i n 2 t − 8 t c o s 2 t .
Yeh step kyun? Pehle term ke liye 8 1 ⋅ 2 1 = 16 1 , lekin doosre ke liye 8 1 ⋅ 1 = 8 1 — dono coefficients alag hain. Phir 16 1 factor out karne par milta hai:
y = 16 sin 2 t − 8 t cos 2 t = 16 1 ( sin 2 t − 2 t cos 2 t )
Verify: jaana-maana formula L − 1 { ( s 2 + a 2 ) 2 1 } = 2 a 3 1 ( sin a t − a t cos a t ) . a = 2 ke saath: 16 1 ( sin 2 t − 2 t cos 2 t ) . ✓
L − 1 { ( s − 1 ) ( s 2 + 1 ) 1 } nikalo.
Forecast: pehle factor se e t sin t ke saath blend hoga. Guess karo ki answer bounded hai ya badhta hai.
Step 1. Split karo: F = s − 1 1 ⇒ f ( t ) = e t ; G = s 2 + 1 1 ⇒ g ( t ) = sin t .
Yeh step kyun? L { e a t } = s − a 1 (yahan a = 1 ), L { sin t } = s 2 + 1 1 .
Step 2. g ko flip karke convolve karo:
∫ 0 t e τ sin ( t − τ ) d τ .
Yeh step kyun? Exponential ko f ( τ ) = e τ ke roop mein (integrate karna aasaan) andar rakho; theorem kehta hai ek argument t − τ hona chahiye.
Step 3. sin ( t − τ ) = sin t cos τ − cos t sin τ expand karo aur constants (τ mein) ko bahar nikalo:
sin t ∫ 0 t e τ cos τ d τ − cos t ∫ 0 t e τ sin τ d τ .
Yeh step kyun? sin t , cos t integration variable τ par depend nahi karte , isliye integral ke liye yeh constants hain.
Step 4. Standard integrals use karo ∫ e τ cos τ d τ = 2 1 e τ ( cos τ + sin τ ) aur ∫ e τ sin τ d τ = 2 1 e τ ( sin τ − cos τ ) , dono 0 se t tak:
∫ 0 t e τ cos τ d τ = 2 1 ( e t ( cos t + sin t ) − 1 ) , ∫ 0 t e τ sin τ d τ = 2 1 ( e t ( sin t − cos t ) + 1 ) .
Step 5. Substitute karo aur simplify karo (e t sin t cos t cross-terms cancel ho jaate hain):
2 1 e t − 2 1 cos t − 2 1 sin t
Independent partial-fraction inversion se verify karo (koi sign fudging nahi). Likho ( s − 1 ) ( s 2 + 1 ) 1 = s − 1 A + s 2 + 1 B s + C .
A (cover-up at s = 1 ): A = s 2 + 1 1 s = 1 = 2 1 .
Denominators clear karo: 1 = A ( s 2 + 1 ) + ( B s + C ) ( s − 1 ) . s 2 match karo: 0 = A + B ⇒ B = − 2 1 . Constant match karo (s = 0 ): 1 = A − C ⇒ C = A − 1 = − 2 1 .
Isliye ( s − 1 ) ( s 2 + 1 ) 1 = s − 1 1/2 + s 2 + 1 − 2 1 s − 2 1 . Har piece invert karo L − 1 { 1/ ( s − 1 )} = e t , L − 1 { s / ( s 2 + 1 )} = cos t , L − 1 { 1/ ( s 2 + 1 )} = sin t ke saath:
2 1 e t − 2 1 cos t − 2 1 sin t .
Yeh convolution result se exactly match karta hai — cos t aur sin t dono ke coefficients − 2 1 hain. ✓ (Answer e t ki wajah se badhta hai.)
a = b ke liye L − 1 { ( s − a ) ( s − b ) 1 } nikalo, phir limit b → a lo.
Forecast: do alag decays e a t , e b t — unka difference expect karo. Jab dono equal ho jaate hain tab kya hoga? Step 4 se pehle guess karo.
Step 1. f ( t ) = e a t , g ( t ) = e b t .
Yeh step kyun? Har factor 1/ ( s − a ) , 1/ ( s − b ) pure exponential mein invert hota hai.
Step 2. Convolve karo:
∫ 0 t e a τ e b ( t − τ ) d τ = e b t ∫ 0 t e ( a − b ) τ d τ .
Yeh step kyun? e b t (τ mein constant) factor out karo; remaining exponent ( a − b ) τ hai.
Step 3. Integrate karo (valid kyunki a = b hai, isliye exponent zero nahi):
e b t ⋅ a − b e ( a − b ) t − 1 = a − b e a t − e b t .
a − b e a t − e b t ( a = b )
Step 4 — degenerate case b → a . Formula 0/0 hai! Limit lo (ya Step 2 dobara b = a ke saath karo, jo ∫ 0 t 1 d τ = t deta hai):
lim b → a a − b e a t − e b t = t e a t .
Yeh step kyun? Jab a = b hota hai toh exponent ( a − b ) τ = 0 hota hai, isliye integrand sirf 1 hota hai aur integral t hota hai, jo t e a t deta hai. Yeh L − 1 { ( s − a ) 2 1 } = t e a t se match karta hai.
Verify (general): L { a − b e a t − e b t } = a − b 1 ( s − a 1 − s − b 1 ) = ( s − a ) ( s − b ) 1 . ✓
Verify (degenerate): L { t e a t } = ( s − a ) 2 1 . ✓
y ′′ − y = e t , y ( 0 ) = 0 , y ′ ( 0 ) = 0 solve karo (dekho Solving Linear ODEs with Laplace Transforms ).
Forecast: forcing e t natural mode e t ke saath resonant hai. Ek t e t term expect karo.
Step 1. Dono sides ka Laplace lo L { y ′′ } = s 2 Y − sy ( 0 ) − y ′ ( 0 ) use karke:
s 2 Y − Y = s − 1 1 ⇒ ( s 2 − 1 ) Y = s − 1 1 .
Yeh step kyun? Zero initial conditions boundary terms ko khatam kar dete hain, ODE ko algebra mein badal dete hain.
Step 2. Isolate karo aur factor karo: s 2 − 1 = ( s − 1 ) ( s + 1 ) , isliye
Y = ( s − 1 ) 2 ( s + 1 ) 1 = F ( s − 1 ) 2 1 ⋅ G s + 1 1 .
Yeh step kyun? Y ko product ke roop mein likhna ek badi partial fraction ki jagah convolution theorem ko invite karta hai.
Step 3. Inverses: f ( t ) = t e t (Ex 5 ke degenerate result se), g ( t ) = e − t .
Step 4. Convolve karo:
y = ∫ 0 t τ e τ e − ( t − τ ) d τ = e − t ∫ 0 t τ e 2 τ d τ .
Yeh step kyun? Exponentials combine karo: e τ e − ( t − τ ) = e − t e 2 τ .
Step 5. Integration by parts se integrate karo ∫ 0 t τ e 2 τ d τ = [ 2 τ e 2 τ − 4 1 e 2 τ ] 0 t = 2 t e 2 t − 4 1 e 2 t + 4 1 :
y = e − t ( 2 t e 2 t − 4 1 e 2 t + 4 1 ) = 2 t e t − 4 1 e t + 4 1 e − t .
y = 2 1 t e t − 4 1 e t + 4 1 e − t
Verify: y ′′ − y compute karo. y = 2 1 t e t − 4 1 e t + 4 1 e − t ke saath, milta hai y ′′ − y = e t , aur y ( 0 ) = − 4 1 + 4 1 = 0 , y ′ ( 0 ) = 0 . ✓ (Resonant t e t forecast ke anusaar aaya.)
y ( t ) = e − t + ∫ 0 t y ( τ ) ( t − τ ) d τ solve karo (dekho Volterra Integral Equations ).
Forecast: integral y ∗ t hai (y ko ramp t ke saath convolve karna). Growing aur decaying pieces ka mix expect karo.
Step 1. Hidden convolution pehchano: ∫ 0 t y ( τ ) ( t − τ ) d τ = ( y ∗ t ) ( t ) , aur L { t } = s 2 1 .
Yeh step kyun? Kernel ( t − τ ) ka argument t − τ hai — g ( t ) = t ke saath convolution ka tell-tale sign.
Step 2. Poori equation ka Laplace lo (L { y } = Y , L { e − t } = s + 1 1 ):
Y = s + 1 1 + Y ⋅ s 2 1 .
Yeh step kyun? Convolution → product integral equation ko ordinary algebra mein badal deta hai.
Step 3. Y ke liye solve karo:
Y ( 1 − s 2 1 ) = s + 1 1 ⇒ Y ⋅ s 2 s 2 − 1 = s + 1 1 ⇒ Y = ( s + 1 ) ( s 2 − 1 ) s 2 = ( s + 1 ) 2 ( s − 1 ) s 2 .
Yeh step kyun? Saare Y ek side collect karo aur divide karo; phir s 2 − 1 = ( s − 1 ) ( s + 1 ) factor karo taaki repeated root ( s + 1 ) 2 visible ho — woh shape agle partial-fraction template dictate karta hai.
Step 4. Partial fractions: Y = s − 1 A + s + 1 B + ( s + 1 ) 2 C .
Yeh step kyun? Repeated factor ( s + 1 ) 2 ko apne do terms chahiye (B simple power ke liye, C squared power ke liye).
A (cover-up at s = 1 ): A = ( s + 1 ) 2 s 2 s = 1 = 4 1 .
C (cover-up at s = − 1 ): C = s − 1 s 2 s = − 1 = − 2 1 = − 2 1 .
B (match karo, e.g. s = 0 par): ( 1 ) 2 ( − 1 ) 0 = 0 = − 1 A + 1 B + 1 C = − 4 1 + B − 2 1 ⇒ B = 4 3 .
Isliye A = 4 1 , B = 4 3 , C = − 2 1 .
Step 5. Term-by-term invert karo, L − 1 { 1/ ( s + 1 ) 2 } = t e − t use karke:
Yeh step kyun? Har simple piece ka jaana-maana inverse hai; L − 1 { 1/ ( s − 1 )} = e t , L − 1 { 1/ ( s + 1 )} = e − t , aur squared factor t e − t deta hai.
y = 4 1 e t + 4 3 e − t − 2 1 t e − t .
y = 4 1 e t + 4 3 e − t − 2 1 t e − t
Verify: t = 0 par, y ( 0 ) = 4 1 + 4 3 − 0 = 1 , aur RHS t = 0 par e 0 + 0 = 1 hai. ✓ Is y ka Laplace ( s + 1 ) 2 ( s − 1 ) s 2 ke barabar hai (neeche check kiya). ✓
Worked example Paani ek leaky tank mein
constant rate f ( t ) = 1 (litres/sec, t = 0 se shuru) se daala ja raha hai. Ek litre paani jo time τ par daala gaya woh e − ( t − τ ) ki tarah decay hota hai (tank proportionally leakarta hai). t time par tank mein kitna paani hai?
Forecast: shuruaat mein bharega; eventually inflow leak balance karega. Kis steady level ki umeed hai? Guess karo.
Step 1. Model: abhi ki quantity sabhi past instants τ par "kitna tab aaya" × "kitna ab tak survive karta hai" ka sum hai:
y ( t ) = ∫ 0 t = 1 f ( τ ) survival e − ( t − τ ) d τ = ( 1 ∗ e − t ) ( t ) .
Yeh step kyun? Yeh hi convolution hai — survival kernel e − ( t − τ ) system ka impulse response hai (dekho Transfer Functions and Impulse Response ). Note karo e − ( t − τ ) = 0 -behaviour: yeh sirf t ≥ τ ke liye sense banata hai, causal hypothesis aur [ 0 , t ] limits se match karta hai.
Step 2. Directly evaluate karo. τ -independent factor e − t integral se bahar nikalo:
y ( t ) = ∫ 0 t e − ( t − τ ) d τ = e − t ∫ 0 t e τ d τ = e − t [ e τ ] 0 t = e − t ( e t − 1 ) = 1 − e − t .
Yeh step kyun? e − ( t − τ ) = e − t e τ ; sirf e τ τ par depend karta hai, isliye sirf wahi integrate hota hai.
y ( t ) = 1 − e − t
Step 3 — limiting behaviour (sabhi cases). t = 0 par: y = 1 − e 0 = 0 (tank khaali shuru hota hai). Jaise t → ∞ : e − t → 0 , isliye y → 1 litre — inflow rate bilkul leak balance karta hai, ek stable steady state. Har finite t > 0 ke liye level strictly 0 aur 1 ke beech hai aur badh raha hai. Koi bhi scenario unseen nahi raha.
Verify (theorem se): L { 1 } = s 1 , L { e − t } = s + 1 1 , product s ( s + 1 ) 1 = s 1 − s + 1 1 , inverse 1 − e − t . ✓ Units: integrand hai (L/s)·(dimensionless survival)·(s) = L. ✓
t 3 ∗ cos t compute karo. Integral ko painless banane ke liye kaun sa factor flip karna chahiye?
Forecast: polynomial flip karne par t 3 par messy integration-by-parts karni padti hai; cos flip karne par polynomial simple rehta hai. Kaun sa smarter hai, guess karo.
Step 1. Commutativity kehti hai f ∗ g = g ∗ f , isliye hum ise kisi bhi taraf likh sakte hain:
t 3 ∗ cos t = ∫ 0 t τ 3 cos ( t − τ ) d τ = ∫ 0 t cos τ ( t − τ ) 3 d τ .
Yeh step kyun? Parent proof se, u = t − τ substitute karne par dono arguments swap ho jaate hain — tum choose karne ke liye free ho.
Step 2. Pehli form lo (cos flip karo): ∫ 0 t τ 3 cos ( t − τ ) d τ . Parts se grind karne ki jagah, theorem use karke answer nikalo, phir confirm karo.
L { t 3 } = s 4 6 , L { cos t } = s 2 + 1 s ⇒ L { t 3 ∗ cos t } = s 4 6 ⋅ s 2 + 1 s = s 3 ( s 2 + 1 ) 6 .
Yeh step kyun? s -world mein product = t -world mein convolution; transform compute karna integral se aasaan hai.
Step 3. s 3 ( s 2 + 1 ) 6 invert karo. Partial fractions: s 3 ( s 2 + 1 ) 6 = s 3 6 − s 6 + s 2 + 1 6 s .
Yeh step kyun? s 3 ( s 2 + 1 ) ka odd/even split ek low-power block 6/ s 3 − 6/ s aur ek trig block 6 s / ( s 2 + 1 ) produce karta hai; common denominator clear karke verified (neeche machine-checked).
Step 4. Term-by-term invert karo:
t 3 ∗ cos t = 3 t 2 − 6 + 6 cos t .
t 3 ∗ cos t = 3 t 2 − 6 + 6 cos t
Verify: t = 0 par convolution integral ∫ 0 0 ( ⋯ ) = 0 hai; formula 0 − 6 + 6 = 0 deta hai. ✓ Aur L { 3 t 2 − 6 + 6 cos t } = s 3 6 − s 6 + s 2 + 1 6 s = s 3 ( s 2 + 1 ) 6 . ✓
Lesson (the twist): dono flip legal hain, lekin s -product mein convert karna saari by-parts pain se bachata hai. Jab exam polynomial times trig/exponential de, transform-then-invert usually brute-force convolution se behtar hota hai.
Recall Kaun sa cell kaun sa hai?
1 ke saath convolve karna = integrate karna (identity nahi) ::: cell C1
Do decays e a t , e b t ka product a − b e a t − e b t deta hai, t e a t mein degenerate hota hai ::: cell C5
Hidden ∫ 0 t y ( τ ) k ( t − τ ) d τ ek Volterra equation ka signal hai jo Y ( s ) K ( s ) se solve hoti hai ::: cell C7
Leaky-tank steady level unit inflow aur e − t leak ke saath ::: 1 litre (Ex 8, cell C8)
Mnemonic Smart route chuno
"s mein product dikhe? Multiply karo. t mein blend dikhe? Convolve karo — ya transform karo aur integral se bacho."
Product F times G in s world
Convolution blend in t world
Convolve with 1 equals integrate
Two exponentials difference quotient
Degenerate limit gives t times e
ODE forcing solved by blend
Volterra equation becomes algebra
Impulse response of a real system