4.4.24 · D4 · HinglishMultivariable Calculus

ExercisesDivergence — definition, physical meaning (flux density)

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4.4.24 · D4 · Maths › Multivariable Calculus › Divergence — definition, physical meaning (flux density)

Poore page mein, yeh ek formula yaad rakho jo hum compute karne ke liye use karte hain:

Yahan ek vector field hai jiske teen components hain, har ek position ka function hai. Symbol ka matlab hai "kitni tezi se change hota hai jab hum -direction mein step karte hain, ko fixed rakhte hue" — yeh ek partial derivative hai. Hum sirf teen matching (diagonal) terms ko add karte hain.

Figure — Divergence — definition, physical meaning (flux density)

Upar ki picture poore page ke liye tumhara visual dictionary hai: red arrows bahar ki taraf nikal rahi hain = positive divergence (ek source/tap), blue arrows andar ki taraf khich rahi hain = negative divergence (ek sink/drain), aur yellow arrows circle mein ghoom rahi hain = zero divergence (pure swirl, kuch bhi create nahi ho raha).


Level 1 — Recognition

L1.1

Batao ki ek scalar hai ya vector, aur kyun.

Recall Solution

Ek scalar (har point par ek number). mein dot matching components ko multiply karke unhe add karta hai: . Numbers ko add karne se ek number milta hai, koi arrow nahi.

L1.2

Radial field ke liye compute karo.

Recall Solution

Har component sirf apne variable par depend karta hai, isliye har derivative hai. Positive aur constant → har jagah uniform outward spreading (ek expanding gas).

L1.3

ke liye compute karo.

Recall Solution

Har jagah negative → arrows andar ki taraf point kar rahe hain → ek sink (drain).

L1.4

Constant field ke liye compute karo.

Recall Solution

Teeno components constant hain, isliye har partial derivative hai: Bade arrows hain, lekin box ke across kuch bhi change nahi hota: jo left se enter karta hai woh right se nikalta hai. Size spreading.


Level 2 — Application

L2.1

ke liye compute karo.

Recall Solution

Har diagonal partial lo (baaki do variables ko constants maano):

  • ( ek constant ki tarah saath chalta hai),
  • ,
  • .

L2.2

ke liye compute karo, phir origin par evaluate karo.

Recall Solution
  • ,
  • ,
  • (chain rule: andar ka derivative hai jo hai, andar se divide). par:

L2.3

ke liye (jo -axis ke around swirl hai) compute karo aur words mein batao ki yeh circulation vs spreading ke baare mein kya prove karta hai.

Recall Solution

mein koi nahi hai, isliye uska -derivative hai; mein koi nahi hai, isliye uska -derivative hai. Yeh field pure rotation hai: fluid axis ke around ghoomta hai lekin na create hota hai, na destroy. (Iska curl, divergence nahi, nonzero hai — dekho Curl — rotation density.)


Level 3 — Analysis

L3.1

Field ka hai. Geometric definition ko directly verify karo origin par centred box ke through outward flux compute karke, usse volume se divide karke, aur leke.

Recall Solution

Sirf nonzero hai, isliye sirf do faces jo ke perpendicular hain woh flux carry karti hain.

  • Right face : outward normal , toh flux .
  • Left face : outward normal , toh ; flux . Top/bottom/front/back faces ka normal hai, aur , isliye unka contribution hai. Volume se divide karo: flux density har ke liye, isliye limit hai. Yeh se match karta hai. ✓ (Kyunki symmetric hai, equal outflow dono -faces se nikalta hai — origin par koi net source nahi.)

L3.2

Dikhao ki kisi bhi do smooth vector fields ke liye, (divergence linear hai). Phir use karo find karne ke liye bina scratch se recompute kiye.

Recall Solution

Har partial derivative khud linear hai: . Teen diagonal terms ko sum karo aur regroup karo: Ab ke saath (div from L1.2) aur ke saath (div from L2.3): Swirl rotation add karta hai lekin koi spreading nahi, isliye total spreading rate unchanged rehti hai.

L3.3

Inverse-square field ke liye origin se door kisi bhi point par compute karo. (Yeh ek point charge ka electric field hai.)

Recall Solution

likho, toh . Hume chahiye. Pehle, (from , differentiate karo: ). Product + chain rule: Symmetry se - aur -terms aur dete hain. Add karo: Matlab: charge se door field geometrically spread hoti hai, lekin uski magnitude exactly utni tezi se drop hoti hai () ki outflow inflow kisi bhi tiny box ke across — zero divergence. Saara "source" origin par concentrated hai, jahan formula blow up hota hai (yeh kaam Divergence Theorem (Gauss) ka hai).


Level 4 — Synthesis

L4.1

Ek scalar function find karo jiska gradient field har jagah constant divergence ho. (Quantity Laplacian hai.)

Recall Solution

Hume chahiye. Try karo :

  • , aur similarly , . Toh kaam karta hai. Iska gradient hai, jiska divergence hai — match karta hai. (Koi bhi bhi kaam karega.)

L4.2

Plane par ek vector field banao jiska har jagah ho lekin woh zero field nahi ho aur pure rotation bhi nahi ho. (Hint: mein outflow ko exactly mein inflow se cancel karo.)

Recall Solution

Hume chahiye. Choose karo toh ; phir hume chahiye, jaise . Isliye Check karo: . Yeh ek saddle/stretch flow hai — yeh ke along stretch karta hai aur ke along squeeze karta hai, isliye fluid ek ellipse mein stretch hota hai lekin uska area (volume) preserve hota hai. Yeh zero nahi hai aur circular swirl bhi nahi hai; incompressible phir bhi non-trivial. Yeh "area-preserving stretch" exactly woh flow hai jo incompressible fluid ke liye Continuity equation satisfy rakhta hai.

L4.3

ke liye (sirf ke along point karne wala field, size ke saath), har find karo jo ko constant banata ho. Interpret karo.

Recall Solution

Yahan , , toh . set karke integrate karo: Toh . Speed profile ki slope divergence hai: linearly speeding-up flow () fluid ko constant rate par create karta hai; additive constant ek uniform drift hai jo kuch contribute nahi karta (jaise L1.4 mein).


Level 5 — Mastery

L5.1

Product rule prove karo, jahan ek scalar field hai. Phir use karo aur par.

Recall Solution

Proof. -th diagonal term hai. Ek derivative ke liye ordinary product rule se: par sum karo: Application. ke saath, , , aur : Direct check: , aur ; teeno ko sum karne se milta hai. ✓

L5.2

Ek gas ka density aur velocity hai. Continuity equation kehti hai . Maano (constant) aur . Kya mass conserved hai (kya flow constant density ke saath consistent hai)? Apna reasoning dikhao.

Recall Solution

Constant density matlab , isliye equation demand karta hai . Kyunki constant hai, . Compute karo Toh . ✓ Haan — flow divergence-free (incompressible) hai, isliye constant density perfectly consistent hai: mass conserved hai. Stretch-and-squeeze motion volume preserve karta hai, isliye density kabhi change nahi hoti.

L5.3

Divergence Theorem (Gauss) use karke, radius ke sphere ke through ka outward flux compute karo bina koi surface integral kiye.

Recall Solution

Theorem hume ek mushkil surface integral ko divergence ka ek easy volume integral se swap karne deta hai. Yahan (L1.2), ek constant, isliye Sanity check direct surface reasoning se: sphere par , toh , constant; sphere ki area se multiply karne par milta hai. ✓ Dono routes agree karte hain — divergence hai flux density, integrate kiya hua.


Connections

  • Divergence — definition, physical meaning (flux density) — parent note jo yeh drills reinforce karte hain.
  • Curl — rotation density — woh operator jo divergence jo ignore karta hai use pakadta hai (L2.3, L4.2).
  • Divergence Theorem (Gauss) — L5.3 mein use kiya, L3.3/L5.3 mein cautioned.
  • Gradient and the del operator — woh jo har computation ke peeche hai; L4.1 mein Laplacian feed karta hai.
  • Flux through a surface — woh surface integral jo L3.1 mein average ho raha hai.
  • Continuity equation — L5.2 ki physics.