2.6.8 · D4 · HinglishMatrices & Determinants — Introduction

ExercisesDeterminant of 3×3 matrix — cofactor expansion

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2.6.8 · D4 · Maths › Matrices & Determinants — Introduction › Determinant of 3×3 matrix — cofactor expansion

Shuru karne se pehle, ek shared vocabulary reminder taaki neeche kuch bhi surprise na ho.

Signs ka checkerboard — position padhein aur yeh aapko kisi bhi minor ko touch karne se pehle batata hai:


Level 1 — Recognition

Goal: kya aap sign pattern padh sakte hain aur smart row/column pick kar sakte hain?

Exercise L1.1

In positions ke liye sign batayein: , , , .

Recall Solution L1.1

HUM KYA KARTE HAIN: dono indices add karein, phir poochhen "even hai ya odd?" Even , odd .

  • : , even
  • : , odd
  • : , odd
  • : , even

YAISE DIKHTA HAI: inhe checkerboard picture se check karein — chaar cells exactly light up hote hain. Signs kabhi bhi matrix ke numbers par depend nahi karte, sirf position par.

Exercise L1.2

Matrix ke liye kaun si single row ya column ke along expand karna sabse kam kaam dega, aur kyun?

Recall Solution L1.2

HUM KYA DHOONDH RAHE HAIN: woh line (row ya column) jisme sabse zyada zeros hain. Har zero entry apne poore cofactor term ko khatam kar deta hai (zero times kuch bhi zero hota hai), isliye zero ka matlab hai "ek kam determinant compute karna."

Scan karein: column 2 hai do zeros. Koi aur row ya column usse beat nahi karta.

Answer: column 2 ke along expand karein. Sirf ek term survive karta hai: ISKA KYUN MATLAB HAI: lazy-but-correct choice teen minors ko ek tak cut kar deta hai.


Level 2 — Application

Goal: poora algorithm end-to-end chalao.

Exercise L2.1

compute karein row 2 ke along expand karke (yeh parent ka Practice Problem 1 hai).

Recall Solution L2.1

ROW 2 KYUN? Isme position par hai, isliye ek term vanish ho jaata hai.

Row-2 entries hain . Unke checkerboard signs (pattern ki middle row padhein) hain .

Cofactor — sign ; row 2, column 1 cross out karein:

Cofactor — sign ; row 2, column 3 cross out karein:

Sum:

Row 1 se check karein (KYUN: invariance feel karne ke liye — alag raasta, same answer). Entries , signs :

Exercise L2.2

compute karein column 1 ke along expand karke.

Recall Solution L2.2

COLUMN 1 KYUN? Isme par hai, isliye teen mein se ek term disappear ho jaata hai.

Column-1 entries , signs (checkerboard ka left column) .

— sign ; row 1, column 1 delete karein:

— sign ; row 3, column 1 delete karein:

Sum:


Level 3 — Analysis

Goal: brute force ki jagah structure (triangular form, zero rows) use karein, aur answer interpret karein.

Exercise L3.1

Dikhayein ki upper-triangular matrix ke liye column 1 ke along expand karna row 1 ke along expand karne jaisa hi result deta hai, aur general pattern batayein (parent ka Practice Problem 3).

Recall Solution L3.1

Column 1 ke along. Entries signs ke saath. Sirf pehla survive karta hai:

Row 1 ke along. Entries signs ke saath:

Same answer, — parent ki "different path, same destination" baat confirm hoti hai.

General pattern: kisi bhi triangular matrix ke liye (diagonal ke ek taraf sab zeros) determinant diagonal entries ka product hota hai. Yahan . KYUN: zero column ke neeche expand karne par hamesha exactly ek nonzero term bachta hai — diagonal entry aur chhote triangular block ka product — aur woh recursion diagonal ko poora neeche multiply karta hai. Dekhen properties of determinants.

Exercise L3.2

compute karein aur geometrically interpret karein:

Recall Solution L3.2

Pehle structural observation. Rows 1 aur 2 dekhein: . Row 2, row 1 ka scalar multiple hai — dono rows space mein ek hi line ke along point karti hain.

Confirm karne ke liye row 3 ke along expand karein. Entries , signs :

Geometric meaning (YAISE DIKHTA HAI): teen row-vectors normally ek solid box (parallelepiped) span karte hain kuch volume ke saath. Yahan unme se do ek line par hain, isliye "box" flat ho jaata hai — zero thickness, isliye zero volume, zero determinant. Neeche figure dekhein.

Figure — Determinant of 3×3 matrix — cofactor expansion

Level 4 — Synthesis

Goal: cofactor expansion ko ek unknown ke saath, aur ek baahri idea (Cramer / cross product) ke saath combine karein.

Exercise L4.1

ki woh saari values dhoondhein jinke liye singular ho (yani ).

Recall Solution L4.1

KYUN SET KAREIN? Matrix exactly tab singular hoti hai jab uska determinant zero hota hai — tab uska koi inverse nahi hota; dekhen determinant and inverse.

Column 1 ke along expand karein (isme par zero hai). Entries .

— sign ; row 1, column 1 delete karein:

— sign ; row 2, column 1 delete karein:

Teesri entry apne term ko khatam kar deti hai. Entry-times-cofactor assemble karein:

Zero set karein aur factor karein:

Sanity check : Aur (nonzero hona chahiye): , isliye invertible hai.

Exercise L4.2

Cross product ko ek symbolic determinant ki tarah likha ja sakta hai (dekhen cross product and determinants): Row 1 ke along cofactor expansion use karke, compute karein aur ke liye.

Recall Solution L4.2

ROW 1 KYUN EXPAND KAREIN? Row 1 mein basis vectors hain; wahan expand karne se har cofactor se result ka ek component nikalta hai. Signs .

Har compute karein:

Beech ke minus sign ka dhyan rakhte hue assemble karein:

Check (perpendicularity): cross product dono inputs ke perpendicular hota hai, isliye ke saath iska dot product hona chahiye:


Level 5 — Mastery

Goal: ek real system solve karne ke liye multiple determinants chain karein.

Exercise L5.1

Sirf ke liye solve karein, Cramer's rule use karke, system mein

Recall Solution L5.1

CRAMER'S RULE KYA KEHTA HAI: ke liye, unknown , jahan woh hai jisme uska doosra column right-hand side se replace kar diya gaya ho. KYUN KAAM KARTA HAI: ek column ko se replace karke aur determinants lene se determinant ki linearity ke through woh ek variable isolate hota hai.

Coefficient matrix aur uska determinant. ROW 1 KE ALONG KYUN EXPAND KAREIN? ki koi row ya column mein zero nahi hai, isliye koi choice kaam nahi bachaati; hum consistency ke liye row 1 par default karte hain (koi bhi row same number deta hai, jaise L3.1 ne dikhaya). Signs :

Kyunki , system ka unique solution hai — Cramer's rule valid hai.

banayein (column 2 ko se replace karein). PHIR ROW 1 KYUN? Same reason — kaan zeros nahi, isliye clean parallel comparison ke liye same row rakhte hain. Signs :

Isliye:

Full-solution check (zaroori nahi, lekin reassuring — KYUN: ek independent route ko reproduce karna chahiye). Teeno equations simultaneously solve karne par In values se har equation verify karein:

  • Eq 1: … yani , isliye yeh values galat hain — ek warning ki round numbers guess karna dangerous hai. Sahi se solve karte hain.

Sahi se solve karein (elimination). Eq 1 se, . Eq 2 aur Eq 3 mein substitute karein:

  • Eq 2:
  • Eq 3:

Pehli reduced equation ko doosri se subtract karein: Phir , aur

Sahi solution hai . Eq 2 check karein: Eq 3 check karein:

Dono routes agree karte hain: . Cramer's rule ne seedha sahi value di, aur full elimination ne usse confirm kiya.


Recall Jaane se pehle quick self-test

Determinant is par depend nahi karta ki aap kis row/column ke along expand karte hain. ::: Sach — yeh matrix ki ek fixed property hai; expansion choice sirf arithmetic route badalta hai. Ek row jo doosri row ka multiple hoti hai determinant ko… bana deti hai ::: (box flat hai, zero volume). Cramer's rule se -ve variable ke liye solve karne ke liye aap… replace karte hain ::: ka -va column right-hand-side vector se. Entry ke saath attached sign hai… ::: , sirf position par depend karta hai, entry ki value par kabhi nahi.