4.6.24 · D5 · HinglishOrdinary Differential Equations

Question bankLinearization of nonlinear systems

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4.6.24 · D5 · Maths › Ordinary Differential Equations › Nonlinear Systems ka Linearization


True or false — justify

Linearization poore phase plane par valid ek approximation deta hai.
False. Ye sirf equilibrium ke ek chhote se neighbourhood mein trustworthy hai, jahan displacements , itne chhote hon ki quadratic terms negligible hon. Door jaane par discard kiye gaye terms dominate karte hain aur picture bilkul alag ho sakti hai.
Jacobian linear system hai, isliye iska symbolic form pehle se hi stability bata deta hai.
False. Ek symbolic mein abhi bhi hain aur ye ek constant-coefficient linear system nahi hai. Eigenvalues ka koi matlab nikle iske liye pehle ko ek specific equilibrium par evaluate karke numeric entries prapt karni hongi.
Agar dono eigenvalues negative real numbers hain, to equilibrium poore nonlinear system ke liye stable hai.
True. Dono eigenvalues ka real part negative hai, isliye point hyperbolic hai; Hartman–Grobman tab guarantee karta hai ki nonlinear flow nearby (stable node) linear flow jaisi dikhti hai.
Linearization mein center hona prove karta hai ki nonlinear system closed loops mein orbit karta hai.
False. Pure imaginary eigenvalues ka matlab hai , isliye point non-hyperbolic hai aur dropped quadratic terms "center" ko ek slow inward ya outward spiral mein badal sakte hain. Decide karne ke liye tumhe Lyapunov ya energy arguments chahiye.
Ek saddle point kabhi bhi stable nahi ho sakta.
True. Saddle ke real eigenvalues opposite sign ke hote hain, isliye kam se kam ek mode jaisi grow karta hai jahan — wo growing direction ise chahe kuch bhi ho unstable banata hai.
Har nonlinear system mein exactly ek equilibrium hota hai.
False. set karna equations ka ek aisa system hai jiske zero, ek, ya kaafi solutions ho sakte hain (pendulum ke infinitely many hain, par). Har equilibrium ko alag se analyse kiya jata hai.
Agar trace aur determinant hai, to equilibrium stable hai.
True. ke saath dono eigenvalue real parts ko negative force karta hai (unka sum hai, product hai), isliye har mode decay karta hai.
Agar trace aur determinant hai, to equilibrium unstable hai.
True. Dono eigenvalue real parts ab positive hain (sum , product ). Ye ek unstable node hai agar (real eigenvalues) aur ek unstable spiral hai agar (complex eigenvalues).
Linearization ek stable spiral aur ek stable node mein distinguish kar sakta hai.
True. Discriminant ka sign unhe distinguish karta hai: negative complex eigenvalues deta hai (spiral), non-negative real eigenvalues deta hai (node). Dono stable hain agar hai.
Agar linearization mein ek equilibrium unstable hai, to nonlinear system mein bhi ye definitely unstable hai.
True — par sirf tab jab ye hyperbolic ho. Ek positive-real-part eigenvalue (hyperbolic) guarantee karta hai ki ek growing direction Hartman–Grobman ke through nonlinear flow mein survive karta hai. Agar "instability" zero-real-part case se aayi ho, to aisi koi guarantee nahi hai.

Spot the error

"System ke liye, maine doosri equation ko factor kiya, liya, plug in kiya, mila, aur ruk gaya — ye sirf ek hi equilibrium hai."
Error: incomplete root-finding. Factored doosri equation ye bhi allow karti hai , jo pehli equation ke saath doosre solutions jaise kholti hai. Tumhe ki har branch exhaust karni chahiye.
"Mere equilibrium par Jacobian hai, eigenvalues hain, isliye ye ek stable center hai."
Error: ise 'stable' kehna. Ek center ka hota hai, isliye ye na decay karta hai na grow — ye asymptotically stable nahi hai, aur iske alawa linearization yahan sach mein nonlinear behaviour ke liye inconclusive hai.
" aur hain, ek negative hai isliye point stable hai."
Error: zero eigenvalue ko ignore karna. Ek zero eigenvalue ka matlab hai , jo point ko non-hyperbolic banata hai. Hartman–Grobman fail karta hai aur stability linearization se bilkul nahi padhi ja sakti.
"Maine evaluate kiya par ko andar rakha, phir eigenvalues nikalne ke liye set kiya ke terms mein."
Error: kabhi equilibrium substitute nahi kiya. Variables se bhari matrix ke eigenvalues wo constant growth rates nahi hain jo tumhe chahiye; pehle substitute karo, phir characteristic polynomial solve karo.
"Pehla Taylor term zero nahi hai, isliye main ise linear system mein ek constant ke roop mein rakh raha hoon."
Error: ye IS zero hai. Equilibrium ki bilkul definition se, hota hai. Agar ye zero nahi hota to tum equilibrium par nahi the aur poora linearization setup apply hi nahi hota.
"Dono eigenvalues real part ke saath complex hain, basically zero, isliye ye essentially ek center hai."
Error: hyperbolicity ko round off karna. Koi bhi nonzero real part, chahe kitni bhi chhoti ho, point ko hyperbolic banati hai — yahan ek unstable spiral hai. "Basically zero" zero nahi hai; flow genuinely bahar ki taraf spiral karta hai.

Why questions

Hum quadratic terms kyun discard karte hain par linear terms kyun rakhte hain?
Kyunki equilibrium ke paas chhote hain, isliye unke squares bahut chhote hain (). Linear terms dominate karte hain, isliye unhe rakhna leading behaviour capture karta hai — ye tangent-plane approximation hai.
Eigenvalues stability decide kyun karte hain, eigenvectors nahi?
Solutions ke sums hain; exponent control karta hai ki har mode grow karega ya decay karega. Eigenvector sirf us mode ki direction set karta hai, ye nahi ki wo time ke saath survive karega ya nahi.
Jacobian "sahi" linear approximation kyun hai aur koi doosri matrix kyun nahi?
Jacobian first partial derivatives collect karta hai — bilkul equilibrium par har surface ke tangent plane ki slopes. Ye by construction vector field ki best linear approximation hai wahan.
Hartman–Grobman ko "koi eigenvalue zero real part ke saath nahi" kyun chahiye?
Ek zero real part ek knife-edge hai: linear flow na grow karta hai na decay, isliye wo chhote quadratic terms jo humne discard kiye the decisive ho jaate hain. Sirf jab har mode strictly grow ya strictly decay kare tabhi hum unhe safely ignore kar sakte hain.
Pendulum ka bottom equilibrium ek genuine center kyun ho sakta hai jab linearization "inconclusive" hai?
Sirf linearization ye certify nahi kar sakta, lekin pendulum energy conserve karta hai, aur closed energy contours closed orbits force karte hain — ek independent argument jo inconclusive linear center ko real center mein upgrade karta hai.
Pendulum ke top par saddle kyun appear hota hai lekin bottom par center kyun?
Bottom par restoring force ek nudged pendulum ko wapas kheenchti hai (oscillation → center); top par gravity ek nudge ko amplify karta hai, ek growing aur ek shrinking direction deta hai (mixed-sign real eigenvalues → saddle).
Hum simultaneously kyun solve karte hain ek equation at a time ki jagah?
Ek equilibrium ko dono velocities ek saath vanish karni hoti hain; ek point jo satisfy karta hai par abhi bhi move karta hai. Sirf dono equations ke common solutions hi sach mein fixed points hain.

Edge cases

Jab ek point par ho, to linearization kya batata hai?
Kam se kam ek eigenvalue zero hai (unka product hai), isliye point non-hyperbolic hai aur linearization inconclusive hai — near-equilibria ki ek poori line ya curve exist ho sakti hai, jiske liye deeper analysis chahiye.
Eigenvalues pure imaginary hain (, , isliye ) — kis type ka hai, aur kya ye trustworthy hai?
Linearization ek center hai (closed elliptical loops), lekin ise non-hyperbolic banata hai, isliye ye inconclusive hai: sach mein nonlinear point ek genuine center ya ek slow spiral ho sakta hai. Pendulum ke bottom ki tarah energy ya Lyapunov argument se confirm karo.
Do equal positive real eigenvalues (repeated root, , , ) — classify karo.
Ye ek unstable improper node hai (dono , isliye hyperbolic aur unstable). Agar diagonalizable hai to ye ek unstable star node hai; agar defective hai to ye ek unstable improper node hai jiske trajectories ek single shear direction ke along bahar bhagte hain — koi rotation nahi.
Dono eigenvalues equal negative reals hain (repeated root) — kya classification abhi bhi valid hai?
Haan, lekin check karo ki defective to nahi hai. Ek repeated negative eigenvalue rakhta hai, isliye point hyperbolic aur stable hai, aur Hartman–Grobman apply hota hai. Agar diagonalizable hai to ye ek star node hai; agar defective hai (non-diagonalizable, jisme Jordan block chahiye) to ye ek improper node hai jiske trajectories real-axis shear se ek single eigendirection ke saath bend karte hain — koi rotation ya spiralling nahi hai, geometry alag hai lekin stability unchanged hai, isliye Jordan form inspect karo.
Agar equilibrium exactly ek aisi boundary par baitha ho jahan differentiable nahi hai, to analysis ka kya hoga?
Jacobian ke liye partial derivatives ka exist karna zaroori hai; agar ya wahan non-smooth hai, to koi Jacobian exist nahi karta aur standard linearization simply apply nahi hoti — tumhe doosre methods chahiye.
Dono eigenvalues zero hain (ek double zero, repeated) — center hai ya kuch worse?
Worse. Ek double-zero eigenvalue highly degenerate hai: ek rotation bhi guarantee nahi hai, aur ye genuinely imaginary nahi hai (jiske liye nonzero chahiye hota). Is strongly non-hyperbolic case ke liye Lyapunov ya centre-manifold techniques chahiye.
Agar do eigenvalues aur hain (dono large), kya point "bahut unstable" hai?
Ye ek saddle hai (opposite signs → unstable), lekin "magnitude" sirf ye set karta hai ki trajectories har direction mein kitni tezi se chalti hain, qualitative type nahi. Instability ke liye ek growing direction kaafi hai.
Predator–prey center jo linearization se mila, kya hum closed cycles par trust kar sakte hain?
Sirf linearization se nahi — ye non-hyperbolic hai. Classic Lotka–Volterra model ke liye ek conserved quantity independently prove karta hai ki orbits sach mein closed hain, lekin ek generic system linear center ke saath secretly spiral kar sakta hai.