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.
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 t bante hain== (τ+(t−τ)=t), aur upper limit t honi chahiye.
(a) Arguments hain τ aur t−τ — ye milakar t bante hain. Limits 0 se t hain. ✅ Ye convolution hai jisme f(τ)=τ2 (matlab f(t)=t2) aur g(t−τ)=t−τ (matlab g(t)=t).
(b) Dono factors mein τ, τ hai — arguments τ aur τ hain, ye milakar t nahi bante. ❌ Ye sirf ek ordinary integral hai, convolution nahi.
(c) Upper limit ∞ hai, t nahi. ❌ Ye woh causal convolution nahi jo humne define ki (ye ek alag cheez hai).
Answer: sirf (a); f(t)=t2,g(t)=t.
Recall Solution L1.2
Product split karo.s3(s−2)1=F(s)s31⋅G(s)s−21.
Standard pairs yaad karo (Laplace Transform — definition and properties se):
L−1{s31}=2t2=f(t),L−1{s−21}=e2t=g(t).t2/2 kyun? Kyunki L{tn}=n!/sn+1, isliye L{t2}=2/s3, aur hume 2 se divide karna padta hai.
Theorem apply karo:L−1{s3(s−2)1}=∫0t2τ2e2(t−τ)dτ.
Ho gaya — ye maangi gayi convolution form hai.
Ab hum actually convolutions compute karte hain aur theorem ko aage-peeche dono taraf use karte hain.
Recall Solution L2.1
Direct. Yahaan f(t)=1,g(t)=1:
(1∗1)(t)=∫0t1⋅1dτ=[τ]0t=t.Theorem check.L{1}=s1, toh s-world mein product hai s1⋅s1=s21, aur L−1{1/s2}=t. ✅ Same answer.
Ye sabse clean proof hai ki convolution ≠ pointwise product: 1⋅1=1 lekin 1∗1=t.
Recall Solution L2.2
f(t)=t,g(t)=et. Commutativity ki wajah se (f∗g=g∗f) jise integrate karna aasaan ho use flip ke saath rakho. f(τ)=τ rakho:
(t∗et)(t)=∫0tτet−τdτ=et∫0tτe−τdτ.et bahar kyun nikala? Kyunki et−τ=ete−τ aur running clock τ ke liye et constant hai.
Integration by parts karo (u=τ,dv=e−τdτ,v=−e−τ):
∫0tτe−τdτ=[−τe−τ]0t+∫0te−τdτ=−te−t+[−e−τ]0t=−te−t−e−t+1.et se multiply karo:
(t∗et)(t)=et(1−e−t−te−t)=et−1−t.Theorem se sanity check:L{t}L{et}=s21⋅s−11, aur L{et−1−t}=s−11−s1−s21. Common denominator s2(s−1): numerator s2−s(s−1)−(s−1)=s2−s2+s−s+1=1. Toh ye s2(s−1)1 ke barabar hai. ✅
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, L{y′′}=s2Y−sy(0)−y′(0)=s2Y use karke (dono zero hain):
s2Y+4Y=F(s)⇒Y=transfer function H(s)s2+41F(s).Y do s-functions ka product hai, isliye uska inverse ek convolution hai:
y(t)=h(t)∗f(t),h(t)=L−1{H(s)}=21sin2t.Ye kyun beautiful hai:h(t)=21sin2t system ka unit impulse ke liye response hai. Koi bhi input f produce karta hai:
y(t)=21∫0tsin(2(t−τ))f(τ)dτ
— output wo input hai jo impulse response se smeared ho gayi. Yahi "smearing" hai convolution.
Recall Solution L3.2
Convolution pehchano.∫0t(t−τ)y(τ)dτ=(t∗y)(t) kyunki arguments t−τ aur τ milakar t bante hain. (Dekho Volterra Integral Equations.)
Dono sides ka Laplace lo.L{et}=s−11, L{t}=s21, aur convolution → product:
Y=s−11+s21Y.Algebraically solve karo (yahi poora point hai — integral algebra ban gaya):
Y(1−s21)=s−11⇒Y⋅s2s2−1=s−11⇒Y=(s−1)(s2−1)s2.
Note karo s2−1=(s−1)(s+1), toh Y=(s−1)2(s+1)s2. Partial fractions (dekho Inverse Laplace Transform — partial fractions):
(s−1)2(s+1)s2=s−1A+(s−1)2B+s+1C.
s=1: B(1+1)=1⇒B=21.
s=−1: C(−1−1)2=1⇒C⋅4=1⇒C=41.
s2 coefficients compare karo: A+C=1⇒A=1−41=43.
Y=s−13/4+(s−1)21/2+s+11/4.
Term by term invert karo:
y(t)=43et+21tet+41e−t.Spot check at t=0:y(0)=43+0+41=1=e0. Aur RHS at t=0 hai e0+0=1. ✅
Open-ended, structural, ya general-parameter problems.
Recall Solution L5.1
General ω>0. Zero IVs ke saath Laplace: (s2+ω2)Y=F(s), toh
Y=s2+ω21F(s).
Ab L−1{1/(s2+ω2)}=ω1sinωt (kyunki L{sinωt}=ω/(s2+ω2), toh ω se divide karo). Ye impulse response h(t) hai. Product H(s)F(s) convolution mein invert hota hai:
y(t)=h∗f=ω1∫0tsin(ω(t−τ))f(τ)dτ.■Degenerate ω→0. Equation ban jaati hai y′′=f(t). Limit ko kernel ke andar lo: jab ω→0, ωsin(ω(t−τ))→(t−τ) (kyunki chhote x ke liye sinx≈x). Toh
y(t)→∫0t(t−τ)f(τ)dτ.Interpretation / check:y′′=f zero IVs ke saath matlab f ko twice integrate karo; aur sach mein ∫0t(t−τ)f(τ)dτ exactly double antiderivative hai (ek baar differentiate karo ⇒ ∫0tf(τ)dτ, do baar ⇒ f(t)). ✅ Kernel gracefully degrade karta hai — koi blow-up nahi.
Recall Solution L5.2
y(t)=∫0te−(t−τ)⋅1dτ=e−t∫0teτdτ=e−t(et−1)=1−e−t.t=0 ke paas:1−e−t≈t (linearly 0 se utha — system abhi "fill" nahi hua). y(0)=0: koi bhi input accumulate hone se pehle output nahi.
Jab t→∞:e−t→0, toh y→1. 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:H(s)=s+11, F(s)=s1, product s(s+1)1=s1−s+11, inverse 1−e−t. ✅
Recall Solution L5.3
t>ϵ ke liye:
(f∗gϵ)(t)=∫0tf(t−τ)gϵ(τ)dτ=ϵ1∫0ϵf(t−τ)dτ.Sirf [0,ϵ] kyun? Kyunki τ>ϵ ke liye gϵ(τ)=0 hai — kernel ek patla, ooncha pulse hai jiska area 1 hai.
Woh last integral t par khatam hone wali ϵ width ki window par f ka average hai. Jab ϵ→0, ek continuous function ka ek shrinking window par average point value par converge karta hai:
limϵ→0(f∗gϵ)(t)=f(t).Interpretation: unit-area pulse convolution ka identity hai — isse convolve karne par f wapas milti hai. Yahi Dirac delta ka role hai: f∗δ=f. L3/L5.1 mein har impulse-response derivation secretly isi par rely karti hai.