Throughout, map T:(u,v)↦(x,y) ka Jacobian determinant yeh hai:
∂(u,v)∂(x,y)=det(xuyuxvyv)=xuyv−xvyu,
aur change-of-variables rule chhoti purani area dxdy ko replace karta hai:
dxdy=∂(u,v)∂(x,y)dudv.
Yahan xu ka matlab hai "x ka partial derivative u ke saath respect to" — matlab x kitni tezi se move karta hai jab tum u ko nudge karo aur v ko fixed rakho. Bas itni hi machinery chahiye.
Chaar partials hain: xu=3,xv=0,yu=0,yv=5.
J=∂(u,v)∂(x,y)=det(3005)=3⋅5−0⋅0=15.Yeh kaisa dikhta hai:uv mein ek unit square, xy mein ek 3×5 rectangle ban jaata hai — area 15 guna bada. Scaling factor hai ∣J∣=∣15∣=15.
Recall Solution 1.2
Polar Jacobian r hota hai (parent note mein derive kiya gaya hai). r=2 pe yeh 2 ke barabar hai: radius 2 pe ek polar cell mein radius 1 par same drdθ box ki tulna mein double area hoti hai. Jitna door, utna mota wedge — Polar Coordinates picture dekho.
Recall Solution 1.3
(a) J=∂(u,v)∂(x,y)=det(111−1)=−2=0 har jagah — valid.
(b) J=∂(u,v)∂(x,y)=det(2u001)=2u, jo u=0 pe 0 hai. Map wahan one-to-one bhi nahi hai (u aur −u same x dete hain). u=0 pe invalid. Zero Jacobian matlab chhota cell flat crush ho gaya — Inverse Function Theorem dekho.
J=∂(u,v)∂(x,y)=det(cosvsinv−usinvucosv)=ucos2v+usin2v=u.Kyun collapse hota hai:cos2v+sin2v=1, toh sab kuch u mein fold ho jaata hai. Isliye dxdy=ududv, exactly parent note ka rdrdθ.
Recall Solution 2.2
Pehle forward Jacobian (easy, kyunki u,v diye hain x,y ke functions ke roop mein):
∂(x,y)∂(u,v)=det(2x2y−2y2x)=4x2+4y2.Reciprocate kyun karein: theorem ko old area per new cell chahiye, yaani ∂(x,y)/∂(u,v), aur dono Jacobians inverse matrices hain toh unke determinants 1 tak multiply hote hain. Isliye
J=∂(u,v)∂(x,y)=4(x2+y2)1.(1,1) pe: 4(1+1)1=81=0.125.
Recall Solution 2.3
J=∂(u,v)∂(x,y)=det(2113)=6−1=5.
Unit uv-square R pe map hota hai, toh
Area=∫01∫01∣J∣dudv=∫01∫015dudv=5.
Yeh exactly Determinant as Volume Scaling statement hai: parallelogram ka area edge vectors ke ∣det∣ ke barabar hota hai. Answer: 5.
Chaar corners map hote hain (0,0),(1,1),(2,0),(1,−1) pe — neeche figure mein parallelogram.
J=∂(u,v)∂(x,y)=det(111−1)=−2,∣J∣=2.
Parallelogram ke edge vectors hain a=(1,1) (u-edge ka image) aur b=(1,−1) (v-edge ka image). Cross Product and Area rule se iska area ∣axby−aybx∣=∣1⋅(−1)−1⋅1∣=2 hai. Yeh exactly ∣J∣ se match karta hai, jaise hona chahiye.
Figure — aise padho: left panel uv mein plain unit square hai (area 1); uska bottom yellow arrow u-edge hai, left pink arrow v-edge hai. Right panel xy mein image hai: yellow arrow a=(1,1) wahan hai jahan u-edge land kiya, pink arrow b=(1,−1) wahan jahan v-edge land kiya. Jo tilted blue parallelogram woh span karte hain uska area 2 hai — exactly ∣J∣, woh number jo uske andar likha hai.
Recall Solution 3.2
Maano JT, T:(u,v)↦(x,y) ka Jacobian matrix hai aur JT−1 inverse map ka. T−1∘T compose karne se identity milti hai, toh multivariable chain rule se (jo Jacobian matrices multiply karta hai) JT−1JT=I. Determinants lete hain aur det(AB)=detAdetB use karte hain:
detJT−1⋅detJT=detI=1.
Kyunki ye determinants exactly ∂(u,v)/∂(x,y) aur ∂(x,y)/∂(u,v) hain, unka product 1 hai. Geometrically kya matlab hai: agar T areas triple karta hai, toh T−1 unhe tihaayi tak shrink karta hai — stretches ek doosre ko undo karte hain.
Recall Solution 3.3
r=0 pe map injective nahi hai: har angle θ same point (0,0) pe map hota hai. Jacobian ka vanish hona signal karta hai ki poori θ-line ek point pe collapse ho rahi hai — cell zero area tak squash ho gayi. Theorem ki hypotheses (injective, nonzero Jacobian) is single line/point pe fail hoti hain. Lekin origin ek area-zero set hai, toh integral mein kuch contribute nahi karta; hum ise simply exclude kar sakte hain. Yeh standard "measure-zero exception" hai — Double Integrals over General Regions dekho.
Figure — aise padho: left panel xy mein original triangle hai jismein uska slanted hypotenuse x+y=1 yellow mein marked hai. Right panel uv-space mein transformed region hai: yeh do pink slanted lines u=v aur u=−v (triangle ke do legs se) aur horizontal yellow line v=1 (hypotenuse se) se bounded hai. Hum u ko −v se v tak integrate karte hain, phir v ko 0 se 1 tak — woh limits seedhe picture se padho.
Cylindrical: x=rcosθ,y=rsinθ,z=z. 3D Jacobian r hai (z-row/column ek factor 1 contribute karta hai; Spherical and Cylindrical Coordinates dekho). Toh dV=rdrdθdz aur
∭BzdV=∫02π∫01∫02zrdzdrdθ.
Stages mein integrate karo: ∫02zdz=2; phir ∫012rdr=1; phir ∫02π1dθ=2π. Product =2π. Answer: 2π.
Recall Solution 5.2
Map linear aur diagonal hai:
J=∂(u,v,w)∂(x,y,z)=deta000b000c=abc.
Is map ke under ellipsoid ban jaata hai unit ball u2+v2+w2≤1 (volume 34π). Isliye
V=∭ball∣abc∣dudvdw=abc⋅34π=34πabc.Sanity check:a=b=c=R rakhne se 34πR3 milta hai, yaani sphere. Answer: 34πabc.
Recall Solution 5.3
J=∂(u,v)∂(x,y)=det(xuyuxvyv)=det(1100)=1⋅0−0⋅1=0.
Jacobian har jagah0 hai, sirf ek point pe nahi. Yeh kaisa dikhta hai: do image edge vectors ru=(1,1) aur rv=(0,0) hain — doosra zero vector hai, toh "parallelogram" line y=x pe flat crush ho jaata hai, jiska area zero hai. Map injective nahi hai aur theorem apply nahi hota; image zero area ka ek curve hai, aur iske upar koi bhi double integral 0 hai. Yeh polar case (3.3) ke origin ka fully degenerate cousin hai: yahan yeh pure space pe fail hota hai, toh koi rescue nahi.