2.1.10 · D5 · HinglishAnalytical Mechanics
Question bank — Constraints using Lagrange multipliers
2.1.10 · D5· Physics › Analytical Mechanics › Constraints using Lagrange multipliers
Traps se pehle, hum har symbol aur picture ko pin karte hain — is page par sab kuch inhi par lean karta hai.
True or false — justify
Multipliers tumhe constraint force rakhne dete hain instead of use throw karne ke.
True — embedded (reduced-coordinate) method constraint forces ko zero virtual work karwa ke vanish kar deta hai, jabki multiplier wahi force hai, purpose se raka gaya (figure s02 dekho).
Agar tum achhe generalized coordinates use karo, toh phir bhi tension deta hai.
False — ek baar constraint eliminate hone ke baad un coordinates mein koi nahi rehta, toh hai aur koi nahi hai jiससे force read ki ja sake.
Multiplier hamesha dimensionless hota hai.
False — ke units generalized force ke hone chahiye, toh ke units se set hote hain; agar ke length units hain, toh ek force hai.
poori motion ke liye ek single fixed constant hai.
False — time ki ek function hai; constraint force motion ke saath change hoti hai (jaise aur ke saath vary karta hai).
Constraint force hamesha motion ki direction mein point karti hai.
False — yeh (yaani ) ki direction mein point karti hai, jo allowed motion (surface ) ke perpendicular hai; exactly isliye yeh embedding ke under zero virtual work karta hai.
constraints aur coordinates ke saath (jaisa upar define kiya) tumhare paas exactly utni hi equations hain jitni unknowns hain.
True — tumhe Euler–Lagrange equations milte hain plus constraint equations, coordinates plus multipliers ke liye: .
Ek holonomic constraint degrees of freedom ko ek se reduce karta hai; multiplier method unhe zero se reduce karta hai.
Bookkeeping mein True — multiplier method sabhi coordinates (dependent ones bhi) rakhta hai aur add karta hai, ek chhote coordinate count ko constraint force tak direct access ke liye trade karta hai. Generalized Coordinates and Degrees of Freedom dekho.
Non-holonomic (velocity) constraints ko hamesha koi likh ke aur uska gradient lekar handle kiya ja sakta hai.
False — genuinely non-holonomic constraint non-integrable hota hai, toh koi position function exist nahi karta; tumhe velocity form directly use karni padti hai. Holonomic vs Non-holonomic Constraints dekho.
ki sign physical information carry karti hai.
True — iska sign batata hai constraint force ki direction (jaise ek rope sirf pull kar sakti hai, toh galat sign flag karta hai ki constraint violate hone wali hai / object surface chhod raha hai). Sign-convention figure s04 dekho.
Spot the error
"Ek constraint ke under hum d'Alembert sum ke har bracket ko zero set kar sakte hain, bilkul free case ki tarah."
Error — virtual displacements (kalpana mein time-frozen nudges surface ke saath saath) ab independent nahi hain; unhe satisfy karni padti hai, toh ek weighted sum ka zero hona har term ko zero hone par majboor nahi karta.
"Maine pehle set karke eliminate kiya, phir normal force dhundne ke liye add kiya."
Error — substitute karne ke baad coordinate chala jaata hai aur identically hota hai; vary karne ke liye koi free nahi hai, toh tum recover nahi kar sakte. ko free rakho jab tak differentiate karne ke baad nahi kar lete.
"Ek mass ke liye jo ek cylinder par wound string se latka hai ( = drop, constraint ), tension hi hai, toh main report karta hoon."
Error — par generalized force hai, jo ke barabar hai kyunki string drop-coordinate ke opposite pull karti hai; physical tension hai (sign diagram s04 dekho).
"Maine Euler–Lagrange equations nikaale lekin undetermined hai — method fail ho gaya."
Error — tum th equation bhool gaye, constraint khud; woh system ko close karta hai aur ko pin karta hai.
"Gradient aur friction force incline ke saath point karte hain, toh friction tangential hai aur isse usual tarah handle karta hai."
Subtle — rolling ke liye, constraint hai jiska gradient coordinate space mein exist karta hai, physical space mein nahi; resulting sahi tarike se tangential friction deliver karta hai kyunki wahi force no-slip enforce karti hai. Normal Force and Tension as Constraint Forces dekho.
"Kyunki normal force koi work nahi karta, zero hona chahiye."
Error — virtual work na karna matlab hai force allowed displacements ke perpendicular hai, yeh nahi ki uski magnitude zero hai; exactly us perpendicular push ki nonzero magnitude hai.
"Main Euler-Lagrange Equations se reduced Euler–Lagrange equations use kar sakta hoon aur phir bhi read kar sakta hoon."
Error — reduced equations pehle hi constraint use kar chuki hain; sirf tab appear karta hai jab redundant coordinate aur uska term retain kiya jaaye.
Why questions
Geometrically, multiplier appear kyun hota hai?
EL-bracket vector left-hand sides ka collection hai, ek vector mein stacked, ek entry per coordinate. Allowed nudge is bracket vector aur dono ke perpendicular hai (figure s03); upar wale linear-algebra fact se (do arrows jo same line ke perpendicular hain parallel hote hain), bracket kisi scalar ke liye.
Hum constraint variation ko se kyun multiply karte hain aur add karte hain, substitute karne ki jagah?
Ek zero add karna (kyunki ) physically kuch nahi badalta lekin choose karne deta hai dependent coordinate ke bracket ko kill karne ke liye, jiske baad remaining independent hote hain. Yeh wahi trick hai jaise d'Alembert's Principle and Virtual Work.
constraint force ki direction kyun hai aur kuch aur kyun nahi?
ka gradient surface ke perpendicular point karta hai, aur ek constraint force exactly wahi hai jo ek body ko us surface se off/onto push karti hai — uske perpendicular — toh force ke proportional honi chahiye.
Embedded method kabhi nahi bata sakta jab bead hoop chhod deti hai, kyun?
Hoop chhodna ki event hai; embedded method ne ko bilkul discard kar diya hai, toh uske paas zero set karne ke liye koi expression nahi hai.
Ek single constraint ke liye multiplier method equations kyun deta hai?
EL equations (har retained coordinate ke liye ek) plus constraint equation , coordinates plus extra unknown se match karta hai.
Lagrange-multiplier mechanics conceptually constrained optimization ke same idea kyun hai?
Dono ek constraint ko add karke aur stationarize karke enforce karte hain; multiplier constraint ke liye sensitivity measure karta hai. KKT Conditions mein inequality-constraint generalization dekho — aur neeche edge cases mein concrete mechanical analogue.
Is method ke kaam karne ke liye constraint coordinates mein differentiable kyun honi chahiye?
Humein exist karna chahiye constraint-force direction form karne ke liye; ek non-smooth constraint ka well-defined gradient nahi hota aur method kink par break ho jaata hai.
Edge cases
Bead ke liye jis instant ho, kya karta hai?
Yeh zero se guzarta hai aur negative ho jaata agar hoop sirf andar push kar sakta; sign flip signal karta hai ki bead physically separate ho rahi hai, toh model sirf tak valid hai (yeh exactly ek mechanical KKT "inactive constraint" hai: one-sided contact drop out ho jaata hai jab sign change karta).
Ek pull-only string ke liye kya hota hai jab computed string ko push karwata?
Constraint ab active nahi hai — string slack ho jaati hai — aur tumhe constraint drop karni padti hai (set ) instead of ek nonphysical negative tension par trust karne ke; yeh KKT constraint ke switch off hone ka mechanics version hai (figure s04 dekho).
Rolling/pulley problem mein agar moment of inertia ho, toh tension kya karta hai?
; ek massless cylinder react karne ke liye koi rotational inertia offer nahi karta, toh koi tension build nahi hota aur mass par girta hai.
Agar (infinitely heavy cylinder) ho, toh aur kya hain?
aur ; cylinder nahi ghoomega, toh mass essentially static equilibrium mein hang karta hai aur tension gravity balance karti hai.
Kya hoga agar constraint time-dependent ho, (ek moving support)?
Surface khud time mein sweep karti hai, toh constraint force ab ek moving wall par act karta hai aur real work kar sakta hai; energy conserved nahi hoti aur ek moving push track karta hai (figure s05 dekho — wall bead ko slide hote hue displace karti hai).
Ek frictionless straight wire par free bead ke liye (ek one-line constraint jo sab curvature remove karta hai), transverse kya hai?
Yeh utna hi hai jo bead ko line par rakhta hai (jaise uska weight component support karna); agar koi transverse applied force exist nahi karta, toh — ek degenerate lekin bilkul valid answer.
Agar do constraints parallel ho jaayein (unke gradients ), kya break hota hai?
Do constraint surfaces tangentially touch karte hain toh unke normals coincide karte hain (figure s06); combination infinitely many ways mein split ho sakta hai, toh aur individually undetermined hain — ek badly posed (redundantly constrained) problem.
Recall Yaad rakhne ke liye ek-line summary
honest constraint force hai: coordinate rakho, constraint add karo, push read karo — aur iska sign dekho jaanne ke liye ki surface kab jaane deti hai.