2.1.10 · D1 · HinglishAnalytical Mechanics

FoundationsConstraints using Lagrange multipliers

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2.1.10 · D1 · Physics › Analytical Mechanics › Constraints using Lagrange multipliers

Yeh parent topic ka vocabulary page hai. Ise ek baar padho aur baad ki har equation seedhi English jaisi lagegi.


0. Woh scene jo hum describe kar rahe hain

Is chapter mein sab kuch ek aisi object ke baare mein hai jo kisi jagah rehne ke liye majboor hai: ek bead jo wire par piroyi hui hai, ek mass jo rope se latka hai, ek ball jo bina phisale roll kar rahi hai. Object khud se aazad ghoomna chahti hai (gravity khichti hai), lekin kuch cheez kuch motions ko mana karti hai. Hamara poora kaam hai ki dono — aazadi aur pabandi — ko symbols se describe karen.

Figure — Constraints using Lagrange multipliers

Tasveer dekho: bead curve par atki hui hai. Woh wire ke saath saath slide kar sakti hai (woh arrow allowed hai) lekin wire se bahar kabhi nahi ja sakti (woh arrow mana hai). Yeh split — saath vs bahar — apne dimaag mein rakho. Neeche har symbol in do directions mein se kisi ek ke baare mein baat karne ka tool hai.


1. Coordinates — woh numbers jo batate hain object kahan hai

Tasveer: bead ko plane mein locate karne ke liye tum uski horizontal position aur vertical position de sakte ho. Yeh do numbers hain, toh , . Ya, kyunki woh circle par rehti hai, tum radius aur angle de sakte ho — woh polar coordinates jo parent note pasand karta hai. Kisi bhi tarah, ek coordinate ek dial hai jise tum ghuma ke object ko hilate ho.

Topic ko yeh kyun chahiye: parent note ki har equation " ke liye" chalti hai. Woh hai kitne dials tumhare paas hain. Bina pehle coordinates ke tum constraint bhi state nahi kar sakte. Unhen choose karne ki poori kahani ke liye Generalized Coordinates and Degrees of Freedom dekho.

Question — mein subscript ka asal matlab kya hai?
Yeh coordinates ko number karne wala naam tag hai (); iska koi math nahi, sirf bookkeeping hai.
Question — Agar radians mein ek angle hai, toh kya hai?
Angular speed , radians per second mein.

2. Constraint function — deewar ko equation ke roop mein likhna

Tasveer: radius ke hoop par ek bead ke liye, niyam hai "centre se tumhari doori hamesha hai." Ek function ke roop mein jo zero hona chahiye: Agar , toh — allowed. Agar , toh — forbidden. Allowed points ka set () ek surface hai (yahan, circle). ko ek aisi height map sochho jiska "sea level" () bilkul deewar hai.

Figure — Constraints using Lagrange multipliers

kyun? Kabhi kabhi deewar khud time mein chalti hai (ek hoop utha ek uthaya ja raha hai, ek rope reeled in ho rahi hai). ko time par depend karne dena unhe cases cover karta hai. Agar deewar fixed hai, toh mein aata hi nahi — lekin hum general rehne ke liye likhte hain.

Question — mein, ki value physically kya matlab rakhti hai?
Bead hoop se units bahar hai — ek forbidden position.
Question — Ek constraint holonomic kyun hota hai non-holonomic ki jagah?
Yeh sirf positions (aur time) restrict karta hai, velocities kabhi nahi — toh ise ke roop mein likha ja sakta hai.

3. Partial derivative — ek direction mein deewar ki dhaul

Yeh pehla sachchi naya tool hai, toh hum ruk ke ise achhe se samajhte hain.

Yeh tool kyun chahiye aur koi nahi: hum jaanna chahte hain "deewar se bahar" kaunsi direction hai. Ek akela ordinary derivative nahi bata sakta, kyunki "bahar" ka matlab ho sakta hai nudge karna, ya nudge karna, ya kuch mix. Partial derivative hamare ko har direction alag se test karne deta hai, phir jawab jodne deta hai.

Tasveer: height-map surface par khado. woh dhaul hai jo tum feel karte ho agar direction mein ek kadam lo. ke liye: mein kadam lene se rate par badlata hai (tum seedha sea level se bahar chadh jaate ho). mein kadam lene se bilkul nahi badlata — tum deewar ke saath saath slide karte ho. Woh zero mathematics ka yeh kehna hai "allowed direction wali hai."


4. Gradient — seedha deewar se bahar ki taraf dikhata arrow

Tasveer: hoop par, — ek arrow jo radially bahar ki taraf point karta hai, circle ke bilkul perpendicular. Yahi woh direction hai jis mein ek deewar ki normal force push kar sakti hai. Yeh is poore topic ka raaz ka kaabza hai.

Figure — Constraints using Lagrange multipliers
Question — Ek frictionless constraint force ke saath kyun point karti hai?
Kyunki surface ke perpendicular hai, aur ek smooth deewar sirf apne aap ke perpendicular push kar sakti hai.
Question — ke liye kya hai, aur woh kaunsi direction mein hai?
mein — radially bahar ki taraf point karta hai, circle se bahar.

5. Virtual displacement — ek khayal mein "allowed" nudge

Tasveer: bead ko pakdo aur use wire ke saath thoda hilao — kabhi wire se bahar nahi. Move ki woh chhoti si phuskari hai. Yeh "virtual" hai kyunki tum actually time nahi badhne dete; tum bas poochh rahe ho "kya hoga agar main ise is taraf nudge karun — kya yeh allowed hai?"

Frozen time kyun? Real motion mein object ka hilna aur deewar ka shayad hilna mix ho jaata hai. Object ki abhi deewar par aazadi ko isolate karne ke liye, hum ko rok dete hain. Isliye constraint ki variation apna term drop kar deti hai:

Question — aur mein kya fark hai?
ek real move hai jab time badhta hai; frozen time par ek khayal mein test-nudge hai jo constraint ka maan rakhta hai.
Question — geometrically kya kehta hai?
Allowed virtual displacement gradient ke perpendicular hai — yeh constraint surface ke andar flat pada rehta hai.

6. Kinetic aur potential energy , , aur Lagrangian

Tasveer: bead ko hoop par adha upar imagine karo. Uski kuch speed hai (yeh hai) aur kuch height hai (yeh hai). unhe ek number mein blend karta hai jo, jab hum ise sahi tarike se differentiate karte hain, Newton ke laws bahar nikalte hain — lekin kisi bhi coordinates mein, chahe ajib kyun na hon. Woh machinery Euler-Lagrange Equations hai.

"Minus" kyun? Combination ( nahi) wahi hai jiska variation sahi equations of motion deta hai — least action ke principle ka ek gehri baat. Is foundations page ke liye, bas ko recipe ki tarah maano; parent note ise ek black box ki tarah use karta hai.

Question — kaunse variables par depend karta hai, aur kaunse par?
velocities par depend karta hai (aur shayad positions par bhi); positions par depend karti hai.
Question — Lagrangian hai ya ?
.

7. Euler–Lagrange operator

Topic ko yeh kyun chahiye: ek free coordinate ke liye, is machine ko zero set karna hi motion ka niyam hai. Ek constraint ke neeche, yeh zero nahi hota — yeh bacha hua push ke barabar hota hai, constraint force . Toh poori parent equation padhti hai: (momentum ka rate) − (applied force) = (constraint force), jo sirf (real forces) ko rewrite karna hai.

Question — physically kya quantity hai?
Coordinate ke liye generalized momentum.
Question — Ek free (unconstrained) coordinate ke liye, Euler–Lagrange machine kiske barabar hai?
Zero — yeh ordinary equation of motion hai.

8. Show ka star: multiplier

Yeh kyun exist karna chahiye — saafs logic: §5 se, allowed nudge , ke perpendicular hai. d'Alembert se, wahi Euler–Lagrange bracket ke perpendicular hai. Do arrows jo ek hi flat plane ke perpendicular hain parallel hone chahiye — toh bracket kisi number ke liye. Woh number exist karne par majboor hai; hum bas ise naam dete hain.

Question — Ek sentence mein, physically kya represent karta hai?
Constraint force ki magnitude/strength (tension, normal force, friction).
Question — Hamen guarantee kyun hai ki ek number exist karta hai jo bracket ko se jodata hai?
Dono ek hi allowed-nudge plane ke perpendicular hain, toh woh parallel hone chahiye — parallel vectors ek scalar se differ karte hain, woh scalar hai.

9. Counting: , , aur "balanced equations"

Yeh kyun matter karta hai: classic panic — " undetermined lagta hai!" — gayab ho jaata hai jab tum count karte ho. Constraint equation khud woh extra relation hai jo ko pin down karta hai. Bookkeeping le aao aur koi variable kabhi mat khona.


Prerequisite map

Generalized coordinates q_k

Constraint function f = 0

Virtual displacement delta q

Partial derivative of f

Gradient grad f, perpendicular to wall

dAlembert virtual work equals 0

Kinetic T, Potential V

Lagrangian L = T minus V

Euler-Lagrange machine

Multiplier lambda appears

Constraint force lambda times grad f


Equipment checklist

Reveal karne se pehle jawab zor se bolo. Agar koi ruk jaaye, woh section dobara padho.

A generalized coordinate hai
koi bhi number jo specify karta hai system kahan hai — ek "dial" jise tum ghuma ke ise hilate ho.
mein dot ka matlab hai
time-rate of change — us coordinate ki speed.
Constraint encode karta hai
woh niyam ki sirf woh positions allowed hain jahan zero ho — deewar.
"Holonomic" ka matlab hai ki constraint depend karta hai
sirf positions (aur time) par, kabhi velocities par nahi.
Partial derivative jawab deta hai
kitna badlata hai jab tum sirf nudge karte ho aur baaki freeze karte ho.
Gradient point karta hai
constraint surface ke perpendicular — seedha deewar se bahar.
Ek virtual displacement hai
ek khayal mein, tiny, constraint-respecting nudge frozen time par.
Equation kehti hai
allowed nudges surface ke andar flat hain ( ke perpendicular).
Lagrangian define hota hai
, kinetic minus potential energy.
Euler–Lagrange bracket physically barabar hai
momentum ki rate-of-change minus applied force.
Multiplier physically represent karta hai
constraint force ki strength; woh force hai.
Jab physically
deewar koi push nahi karti — object surface chhodne wali hai / string dhili ho jaati hai.
Woh equation-count jo ko determined rakhta hai
EL equations constraints coordinates multipliers.