4.6.9 · D4 · HinglishOrdinary Differential Equations

ExercisesSecond-order linear ODEs — superposition principle, general theory

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4.6.9 · D4 · Maths › Ordinary Differential Equations › Second-order linear ODEs — superposition principle, general

Shuru karne se pehle, chaar words jinka hum baar baar use karenge, har ek ek picture se juda hua:

Figure — Second-order linear ODEs — superposition principle, general theory

Upar wale four-anchor figure ko ek control panel ki tarah left se right padhо. Sabse baayein cyan box operator hai: ek function uske left wire se enter karta hai aur transformed function right se bahar nikalti hai — yeh anchor 1 ki "machine" hai. Upper branch homogeneous case dikhata hai, jahan output wire par likha hai (koi bhi cheez system ko push nahi karti). Lower branch forcing term ko ek amber input arrow ke roop mein aate dikhata hai aur output par ke roop mein appear karta hai — anchor 3 ka baahri push. Right panel Wronskian ko ek chhota determinant ki tarah draw karta hai jisme apni derivatives ke upar stacked hain: amber "area" jo yeh measure karta hai woh nonzero hota hai bilkul tabhi jab do solution-arrows genuinely alag directions mein hों (anchor 4). Yeh panel dhyaan mein rakho — neeche ke har exercise mein se ek in chaar boxes ko poke karta hai.


Level 1 — Recognition

Kya tum type naam le sakte ho aur pieces padh sakte ho?

L1.1

Har equation ko classify karo (a) linear ya nonlinear, (b) homogeneous ya non-homogeneous. Jahan linear ho wahan coefficient functions aur forcing do.

Recall Solution

WHAT hum karte hain: har ek ko standard form se compare karo. WHY yeh ek saath sab kuch answer karta hai: standard form ek template with named slots hai — jis moment ek equation isse match karti hai, "linear?" ka jawab mil jaata hai (kya sirf un slots ke through enter karta hai, first power mein, koi products/nonlinear functions nahi?), aur "homogeneous?" ka jawab right-hand slot padhne se milta hai (zero hai ya nahi). Ek comparison teeno cousin questions settle kar deta hai.

(i) Linear (har ek ek baar, first power mein appear karta hai). Homogeneous (). Padho , , .

(ii) Linear — , ko multiply karta hai, aur input variable hai, nahi; linearity sirf is baat ki parwah karti hai ki kaise enter karta hai. Non-homogeneous, . Yahan , , .

(iii) Nonlinear — term unknown aur uski derivative ka product hai, jo template ke kisi slot mein allowed nahi hai. Koi apply nahi hota.

L1.2

Neeche diye gaye pairs mein se kaunsa kisi second-order homogeneous linear ODE ka fundamental set ban sakta hai (matlab kya woh linearly independent hain)? Sirf yes/no aur ek-line reason do.

Recall Solution

WHAT hum karte hain: poochhte hain "kya ek doosre ka constant multiple hai?" WHY yeh sahi test hai: ek fundamental set ko two-dimensional solution space span karni chahiye; agar ek function doosre ka sirf ek scaled copy hai, toh dono milke ek single direction mein point karte hain aur sirf ek one-parameter family produce kar sakte hain — do initial conditions meet karne ke liye yeh kafi nahi. Toh "constant multiple?" directly fundamental-set eligibility decide karta hai.

(a) Haan, independent — constant nahi hai.

(b) Nahi — ka constant multiple hai. Woh sirf ek direction span karte hain, ek parameter.

(c) Haan, independent — constant nahi hai, isliye , ka fixed multiple nahi hai.


Level 2 — Application

Standard machinery chalao.

L2.1

Verify karo ki aur dono solve karte hain, phir general solution likho.

Recall Solution

WHAT & WHY — har candidate substitute karo. Hum plug in karte hain kyunki "solution hai" ka matlab hai substitution ke baad equation hold kare.

ke liye: , . Tab ke liye: , . Tab Woh independent hain (ratio constant nahi), isliye

L2.2

ke liye Wronskian compute karo aur confirm karo ki yeh kabhi zero nahi hota.

Recall Solution

WHAT hum karte hain: . WHY: yeh determinant exactly woh condition hai jab "koi nonzero dono aur ko simultaneously zero nahi kar sakta" — matlab independence. Kyunki har ke liye , everywhere. Independent — L2.1 confirm karta hai.

L2.3

IVP solve karo , , .

Recall Solution

Step 1. General solution (L2.1 se): .

Step 2 — conditions apply karo. WHY: ek second-order ODE "do baar" integrate hoti hai, jo do constants produce karta hai; do initial conditions unhe uniquely pin down karti hain (existence–uniqueness se guarantee). , isliye .

Step 3 — pair solve karo. ko mein add karo: , hence . Check: ✓; ✓.


Level 3 — Analysis

Structure ke baare mein reason karo, sirf handle mat cranko.

L3.1

Abel's theorem use karke, kisi bhi do solutions ka Wronskian dhundho ek constant tak, bina solutions jaane. Phir explain karo ki ek single isolated point par zero kyun nahi ho sakta.

Recall Solution

WHAT & WHY. Abel's theorem kehta hai , isliye . Yeh hume se akele ki shape jaanne deta hai, koi solving ki zaroorat nahi.

Yahan . Isliye ke liye: agar toh ; agar toh har ke liye. Koi tarika nahi ki ek isolated point par zero ho aur baaki jagah nonzero — exponential kabhi zero nahi hoti, isliye all-or-nothing hai. Isliye ek convenient point check karna kaafi hai.

L3.2

Do functions aur ko par diya gaya hai. Dikhao ki everywhere hai, phir bhi linearly independent hain. Yeh Wronskian test ka CONTRADICTION kyun nahi hai?

Recall Solution

Piecewise set up karo. ke liye, ; ke liye, .

Region : , isliye wahan aur .

Region : , isliye . Tab .

Isliye pore par.

Independence. Maano sab ke liye. "Sab ke liye" ka matlab hai equation har us point par hold karni chahiye jo hum plug in karna chaahein — isliye hum convenient points choose karne ke liye free hain, aur har choice ke baare mein ek sach equation deti hai. Hume sirf itni equations chahiye jo force karein; yahan do well-chosen points kaafi hain kyunki woh do unknowns mein do independent linear equations dete hain.

  • par (jahan hai): .
  • par (jahan hai): .

Add karne par , phir . Sirf wahi constants jo kaam karte hain woh dono zero hain, isliye linearly independent hain. (Hume baaki jagah identity verify karne ki zaroorat nahi thi; yeh dikhana ki sirf possible constants zero hain already independence settle kar deta hai.)

Contradiction kyun nahi: clean " dependent" converse sirf tab hold karta hai jab dono functions ek hi linear ODE with continuous coefficients ke solutions hon. Yahan aise nahi hain — par ek way mein twice-differentiable nahi hai jo nice ke consistent ho. Isliye Wronskian test generally one-directional rehta hai: ek point par independent, hamesha; reverse ke liye ODE context chahiye (Abel's theorem ke zariye).

L3.3

Maano , ka ek solution hai aur doosra. Prove karo ki homogeneous equation solve karta hai, aur is se argue karo ki general solution ki form hoti hai.

Recall Solution

WHAT hum karte hain — ko difference par apply karo. Kyunki linear hai (superposition): Isliye koi bhi do particular solutions ek homogeneous solution se differ karte hain.

General form. Maano , ka koi bhi solution hai aur ek particular fix karo. Tab , isliye koi homogeneous solution hai. Rearrange karne par, Kyunki arbitrary tha, har solution is shape ka hai — kuch miss nahi hota.


Level 4 — Synthesis

Ek poora solution banane ke liye kai tools combine karo.

L4.1

Completely solve karo: , , . (Homogeneous part known hai: .)

Recall Solution

Step 1 — particular solution. Forcing ek constant hai. WHY constant guess karo? Ek constant ko mein feed karo: , isliye ; match karne par milta hai. Try karo : indeed ✓. (Yeh Method of undetermined coefficients ka sabse simple case hai.)

Step 2 — assemble. Structure theorem se,

Step 3 — conditions apply karo. , isliye . Add karo: , phir . Check: , ✓; ✓; ✓.

L4.2

Solve karo (sirf general solution). Level 2 se homogeneous set use karo.

Recall Solution

Step 1 — particular solution. Forcing ek degree-1 polynomial hai, isliye try karo (ek general degree-1 polynomial). WHY yeh form: ek linear polynomial ki derivatives degree ki polynomial rehti hain, isliye equation term-by-term balance ho sakti hai. se match karo: ka coefficient deta hai; constant deta hai. Isliye .

Step 2 — assemble. Particular part check karo: , ✓.


Level 5 — Mastery

Prove karo, generalise karo, ya degenerate case handle karo.

L5.1

Prove karo ki superposition principle non-homogeneous equations ke liye free scaling allow nahi karta, aur exactly woh ek linear combination of do particular solutions state karo jo solution HAI.

Recall Solution

Maano aur . Linearity se, Yeh ke barabar hoga iff . Isliye free scaling allowed nahi hai: sirf woh combinations jिनके coefficients ka sum ho (affine combinations) solutions rehte hain. Specifically deta hai — difference homogeneous hai, jo structure theorem का seed hai. Free scaling exclusively ek homogeneous property hai, jahan kisi bhi ke liye bana deta hai.

L5.2

Consider karo sab par. Tumhe bataya gaya hai ki aur solutions hain. Dikhao ki woh fundamental set banate hain, aur general solution ko exponential basis mein re-express karo confirm karne ke liye ki yeh same solution space hai.

Recall Solution

Solutions? ✓; ✓.

Wronskian se independence. : Everywhere nonzero ⇒ fundamental set ⇒ general solution .

Same space as . use karke, jahan . Koi bhi kisi par map hota hai aur vice versa — dono "bases" identical two-dimensional solution space span karte hain. Yeh exactly ek change of basis hai: same plane, different arrows.

L5.3 (degenerate / limiting case)

Directly solve karo (koi characteristic-equation shortcut nahi). Fundamental set kya hai, kya hai, aur yeh "boundary case" kyun hai jahan characteristic equation ki do roots collide karti hain?

Recall Solution

Direct integration. Equation kehti hai second derivative everywhere zero hai. Ek baar integrate karo: (ek constant, kyunki uski derivative hai). Dobara integrate karo: . Isliye fundamental set hai (Note karo do arbitrary constants — exactly woh jo ek second-order equation produce karni chahiye.)

Wronskian. ke saath hai, isliye Everywhere nonzero ⇒ genuinely independent hai ⇒ valid fundamental set.

Boundary case kyun. likhne par characteristic equation ban jaati hai, ek repeated root . Jab do roots coincide karte hain, exponential family sirf ek independent solution deti hai, ; doosre mein repeated-root rule se ka extra factor hona chahiye, matlab . Yeh exactly wahi hai jo humne haath se dhundha — koi coincidence nahi. Isliye do distinct exponential roots ke ek mein merge hone ki sabse clean picture hai, aur exactly isliye Characteristic equation — constant coefficient ODEs mein repeated-root formula mein ka woh factor hota hai.