Exercises — Solving systems using matrix inversion
2.6.12 · D4· Maths › Matrices & Determinants — Introduction › Solving systems using matrix inversion
Yeh page ek self-test ladder hai. Har problem mein sirf wahi tools use hote hain jo Solving Systems Using Matrix Inversion mein build kiye gaye hain: likhna, determinant gate , inverse , aur consistency branch jab ho. Har problem ko solution collapse karke try karo, phir kholo.
Un do workhorses ko yaad karo jinhe hum baar baar use karenge:
Notation ke do pieces jo hum throughout use karenge, ek baar yahan define kiye taaki koi symbol unexplained na rahe:
Level 1 — Recognition
Exercise 1.1
System ke liye coefficient matrix , variable matrix , aur constant matrix likho.
Recall Solution
KYA karte hain: numbers seedha equations se padhte hain. Coefficient matrix unknowns ko multiply karne waale numbers collect karta hai, row by row; constant matrix right-hand sides collect karta hai. Check karo ki system reproduce hoti hai: ki row 1 times deta hai , jo ki pehli entry ke barabar set hoti hai — exactly equation one. ✓
Exercise 1.2
ke liye compute karo aur batao ki exist karta hai ya nahi.
Recall Solution
. Kyunki , machine reversible hai, isliye exist karta hai.
Exercise 1.3
System ka coefficient matrix hai. Bina solve kiye, kya inversion method kaam karega? Gate compute karo.
Recall Solution
. Gate closed hai (), isliye exist nahi karta aur use nahi ho sakta. Hume consistency branch par fall back karna hoga.
Level 2 — Application
Exercise 2.1
ko matrix inversion se solve karo.
Recall Solution
Gate: — invert karna safe hai. Inverse. Yeh moves kyun? formula kehta hai: do diagonal entries swap karo (), do off-diagonal entries negate karo (), phir se divide karo. Har move "transpose the cofactor matrix and divide by the determinant" ka special case hai. Multiply (, ko right par rakhte hain kyunki mein right par hai): Toh . Check: ✓, ✓.
Exercise 2.2
ko matrix inversion se solve karo.
Recall Solution
Gate: . Inverse. Yeh moves kyun? inverse formula bas "transpose the cofactor matrix, divide by " ka miniature version hai: ek ke liye, ka cofactor hai, ka hai, ka hai, ka hai; us grid ko transpose karne se aur diagonal par aa jaate hain (swapped) aur off it (negated). Toh diagonal swap karo, off-diagonal negate karo, aur se divide karo: Toh . Check: ✓, ✓.
Exercise 2.3
system ko inversion se solve karo.
Recall Solution
Gate — ko row 1 ke along expand karo. Row 1 kyun? Koi bhi row (ya column) same determinant deta hai, isliye hum sabse convenient numbers wali row choose karte hain; yahan row 1 hai aur woh ek poora term kill kar deta hai, kaam bachata hai. Row 1 par sign pattern lagaate hue: Cofactor matrix, phir adjugate. Har cofactor times minor hai (apni row aur column delete karo, determinant lo). Nau sab karke transpose karte hue: Phir aur Toh . Check: ✓, ✓, ✓.
Level 3 — Analysis
Inke liye, pehle compute karo; sirf tab jab woh zero ho, test karo (yaad karo = zero column vector jo upar define kiya). Neeche ki figure is level ki poori geometric kahani hai: yeh teen possible arrangements mein do lines dikhati hai, aur neeche ke har exercise mein exactly ek panel hai.

Figure ko left se right padhte hain. Left panel mein do coloured lines ek single orange point par cross karti hain — yeh hai, unique case. Middle panel mein do lines exactly ek doosre par lie karti hain (violet dashed line thick magenta par baith gayi hai) — yeh hai jisme , infinitely many meeting points. Right panel mein do lines parallel chalti hain aur kabhi touch nahi karti — yeh hai jisme , no solution. Exercises 3.1, 3.2, 3.3 in panels ko order mein chalte hain: 3.1 = left (unique), 3.2 = middle (infinitely many), 3.3 = right (no solution).
Exercise 3.1
ko classify karo: unique, none, ya infinitely many? (Yeh figure ka left panel hai.)
Recall Solution
. — gate open. Non-zero determinant ka matlab hai machine reversible hai, isliye exactly ek solution hai — unique case. Do lines parallel nahi hain, isliye ek single point par cross karti hain (left panel mein orange dot). Completeness ke liye, solve karo: , toh Unique solution . Check: ✓.
Exercise 3.2
ko classify karo: unique, none, ya infinitely many? (Yeh figure ka middle panel hai.)
Recall Solution
. — gate closed. Ab test karo. Ek ke liye, (diagonal swap karo, off-diagonal negate karo — adjugate). Yahan woh zero vector hai. aur ⇒ infinitely many solutions. Sanity check: doosri equation exactly pehli ki double hai, toh woh ek hi line hain — middle panel.
Exercise 3.3
ko classify karo: unique, none, ya infinitely many? (Yeh figure ka right panel hai.)
Recall Solution
Same jaise Ex 3.2, toh . Ab : aur ⇒ no solution (inconsistent). Geometry: do parallel lekin alag lines — "3" vs "7" ek line ko doosri se push kar deta hai, right panel.
Exercise 3.4
ki kis value par ka unique solution fail ho jaata hai? Us ke liye, kya "no solution" hai ya "infinitely many"?
Recall Solution
. Unique solution exactly tab fail hota hai jab : par: , , . Toh par system ka no solution hai. (Equation one ban jaati hai , jo se contradict karti hai.)
Level 4 — Synthesis
Exercise 4.1
Tumhe bataya gaya hai ki ka solution ke saath hai. reconstruct karo bina re-solve kiye — aur explain karo ki tumne machine ki kaunsi direction use ki.
Recall Solution
KYA/KYUN: hume code aur rule pata hai; forward machine output deta hai . Yahan koi inverse ki zaroorat nahi — inversion sirf backwards jaane ke liye hai. Toh . Yeh round trip confirm karta hai : ko reverse machine mein daalo toh milta hai, aur forward machine return karta hai — exactly system .
Exercise 4.2
Systems ke pair aur ko ek saath solve karo, jahan , , . Use karo yeh fact ki sirf ek baar compute hota hai.
Recall Solution
Saath kyun karte hain: expensive step find karna hai; ek baar mil jaaye toh har right-hand side sirf ek multiplication hai. Yahi efficiency reason hai ki inversion elimination baar baar karne se better hai. Ex 2.1 se, aur . check karo: ✓, ✓.
Exercise 4.3
ko inversion se solve karo, dhyan rakho ki coefficient matrix mein zero likho jahan koi variable missing ho.
Recall Solution
Teeno variables dikhate hue rewrite karo: . Gate — row 1 ke along expand karo (choose kiya kyunki column 3 mein iska ek term drop karta hai). Signs ke saath: Adjugate — transpose kyun? KYA karte hain: saare nau cofactors compute karo cofactor grid banane ke liye, phir use transpose karo (rows columns ban jaate hain) taaki mile. Transpose kyun: sirf transposed grid hi satisfy karta hai, woh identity jo ko actually undo karaati hai; ise skip karna mein sabse common slip hai. Yahan carry out karte hue: Phir , aur Toh . Check: ✓, ✓, ✓.
Level 5 — Mastery
Exercise 5.1
Ek shop teen combos bechti hai. items A, B, C ke prices hain. Receipts mein likha hai: Prices ke liye matrix inversion se solve karo, determinant gate justify karo, aur confirm karo ki saare prices non-negative hain (taaki answer physically sensible ho).
Recall Solution
Gate — row 1 ke along expand karo (saari entries small hain, koi obvious zero nahi, toh koi bhi row chalega; row 1 arithmetic light rakhti hai). Signs ke saath: Non-zero ⇒ unique price list exist karti hai, invert karna safe hai. Cofactor matrix, phir adjugate ke liye transpose. Yaad karo har cofactor sign carry karta hai: (Ek corner verify karo: ; yeh adjugate ki position par baithta hai.) Phir aur Divide karne se pehle product compute karo: Prices — saare non-negative, physically sensible. Check: ✓, ✓, ✓.
Exercise 5.2
aur ki kin values ke liye system ka (a) unique solution, (b) no solution, (c) infinitely many solutions hoga? Har degenerate case ke saath exact determine karo.
Recall Solution
, . Gate — row 1 ke along expand karo (signs ): (a) Unique. . Kisi bhi ke liye, ek unique solution exist karta hai.
Degenerate branch: . set karo; phir ki row 3 ban jaati hai, jo exactly row 2 jaisi hai. Toh last do equations ka same left side hai: Yeh dono tab hi hold kar sakte hain jab ho. Yeh branch saaf split ho jaata hai:
(b) No solution. Agar aur , toh do equations ko ek saath do alag numbers ke barabar demand karti hain — flat contradiction. Koi exist nahi karta. (Consistency test se confirm karo: par, , aur check karo ki precisely tab jab .)
(c) Infinitely many. Agar aur , toh teesri equation doosri ki exact copy hai — yeh koi nayi information nahi deti. Teen unknowns mein genuinely do independent equations rah jaate hain, ek free parameter chodke, toh infinitely many solutions hote hain. (Consistency test: aur .)
Summary: ke liye unique (koi bhi ); ke liye no solution; ke liye infinitely many.
Connections
- Determinants — upar har gate ek determinant computation tha.
- Adjoint and Inverse of a Matrix — har ke peeche ki machinery.
- Cofactors and Minors — adjugates aur unke signs kaise bane.
- Consistency of Linear Systems — L3 aur L5 branch logic.
- Cramer's Rule — same gate use karne wala parallel-track solver.
- Gaussian Elimination — go-to method jab matrices badi ho jaayein.