4.5.21 · D3 · HinglishLinear Algebra (Full)
Worked examples — Determinants — cofactor expansion along any row - column
4.5.21 · D3· Maths › Linear Algebra (Full) › Determinants — cofactor expansion along any row - column
Shuru karne se pehle, do base facts jinpar sab kuch tika hua hai. Pehle determinant:
Doosra, cofactor symbol jo hum neeche har formula mein use karenge:
Scenario matrix
Yahan har class ka case hai jo cofactor expansion present kar sakta hai. Har row ek alag trap ya twist hai; last column bataata hai kaunsa worked example use handle karta hai.
| # | Case class | Kya alag banaata hai | Killed by |
|---|---|---|---|
| A | Plain , no zeros | Full 3-cofactor grind | Ex 1 |
| B | Row/column with zeros | 80/20: sparse line chuno | Ex 2 |
| C | Sign-trap position with odd | Woh jo log bhool jaate hain | Ex 3 |
| D | "Same answer any line" proof-in-practice | Do tarike se expand karo, compare karo | Ex 4 |
| E | Make-zeros-first (row ops) | Row-add free hai; row-swap ka cost hai | Ex 5 |
| F | Degenerate / singular () | Collapse detect karo, meaning samjho | Ex 6 |
| G | recursion | Cofactor of a cofactor | Ex 7 |
| H | Real-world word problem (area) | Determinant = signed area | Ex 8 |
| I | Exam twist: symbolic / unknown entry | solve karo jo banaye | Ex 9 |
Nau examples work karo aur aap har cell touch kar loge.
Example 1 — Case A: plain , koi free zeros nahi
- Row-1 formula likho. Yeh step kyun? Row ke along cofactor expansion kehta hai top row mein chalo, har entry uske signed minor ke saath:
- Checkerboard se signs padhho. , , . Yeh step kyun? Sign sirf position par depend karta hai, entry ki value par kabhi nahi.
- Har minor compute karo us entry ki row aur column cover karke. Yeh step kyun? Entry ki row aur column delete karna uske minor ki definition hai — problem ko ek aisi tak le aata hai jo hum pehle se solve karna jaante hain.
- Entries aur signs ke saath combine karo. Yeh step kyun? Ab , sign, minor ko saath plug karo:
Example 2 — Case B: zeros ke peeche bhaago
- Column 2 pick karo aur formula likho. Yeh step kyun? 80/20: teen mein se do terms se multiply hote hain, toh pencil uthane se pehle hi gayab ho jaate hain.
- ka sign: . Yeh step kyun? Position ek square par baith hai.
- Ek minor: row 2, column 2 delete karo. Yeh step kyun? Surviving entry ki row aur column hatane ke baad woh block bachta hai jiska determinant hi minor hai.
- Combine karo: Yeh step kyun? Entry sign minor ek surviving term hai.
Example 3 — Case C: odd-position sign trap
- Position signs list karo. Yeh step kyun? Numbers touch karne se pehle har sign settle karo taaki koi stray minus slip na kare.
- Teen minors (har entry ki row aur column 3 delete karo). Yeh step kyun? Har minor woh hai jo entry ki apni row aur column 3 cover karne ke baad bachta hai — same shading picture jaise intro figure mein hai.
- Entry sign minor combine karo. Yeh step kyun? Middle term wahi hai jahan log crash karte hain — entry , sign , minor :
Example 4 — Case D: fresh matrix par "any line" prove karo
- Row 1 ke along expand karo. Yeh step kyun? Standard shuruat.
- Minors. Yeh step kyun? Har woh block hai jo row-1 entry ki row aur column cover karne ke baad bachta hai.
- Combine karo. Yeh step kyun? Entries signs minors, summed:
Example 5 — Case E: pehle zeros banao (row ops), swap ka dhyan rakho
- Row-add operations. Yeh step kyun? Ek row ka multiple doosri mein add karna unchanged rehne deta hai — pure profit. aur karo:
- Column 1 ke along expand karo — sirf top entry nonzero hai. Yeh step kyun? Do engineered zeros teen mein se do cofactors ko khatam kar dete hain, sirf ek bachta hai.
- Ek cautionary variant. Yeh step kyun? Maano ki aapne kahin swap kiya hota. Ek swap ko se multiply kar deta hai; ek row ko se scale karna se multiply karta hai. Row-adds hi ek maatra free operation hai.
Example 6 — Case F: degenerate (singular) matrix
- Row 1 ke along expand karo. Yeh step kyun? Koi zeros nahi, toh honestly grind karo collapse prove karne ke liye.
- Minors. Yeh step kyun? Har row-1 entry ki row aur column cover karo taaki surviving padh sako.
- Combine karo. Yeh step kyun? Entries signs minors, summed:
Example 7 — Case G: ek (cofactor of a cofactor)
- Row 2 ke along expand karo. Yeh step kyun? Ek nonzero entry ek cofactor. jahan row 2 aur column 2 delete karta hai:
- Ab is ko uski bottom row ke along expand karo — phir sparse. Yeh step kyun? Recursion: ek cofactor khud cofactor expansion se solve hota hai.
- Combine karo. Yeh step kyun? Inner minor ko single row-2 term mein feed karo.
Example 8 — Case H: real-world word problem (signed area)

- se edge vectors banao. Yeh step kyun? Ek determinant do vectors se bane parallelogram ka area measure karta hai; triangle iska aadha hota hai.
- determinant form aur expand karo (base case, koi cofactors ki zaroorat nahi). Yeh step kyun? par hum already base case par hain — kuch expand nahi karna.
- Aadha karo. Yeh step kyun? Determinant parallelogram area deta hai; triangle exactly aadha hota hai. Positive kyun? Determinant ka sign hai, matlab counter-clockwise chalta hai. Clockwise ordering se milta; magnitude phir bhi area hai.
Example 9 — Case I: unknown ke saath exam twist
- Row 1 ke along expand karo (position par ek zero hai). Yeh step kyun? Ek term vanish ho jaata hai.
- Minors. Yeh step kyun? Har row-1 entry ki row aur column cover karo taaki surviving padh sako.
- Combine karo. Yeh step kyun? Entries signs minors se determinant ek polynomial in ban jaata hai:
- Zero set karo aur solve karo. Yeh step kyun? Singular .
Recall Sab cells par self-test
Answers cover karo aur har number reproduce karo. Ex 1 answer ::: Ex 3 answer ::: Ex 4 answer ::: Ex 5 answer ::: Ex 6 answer (singular) ::: Ex 7 answer ::: Ex 8 area ::: Ex 9 singular values :::
Connections
- Parent: Cofactor expansion
- Leibniz formula for determinants — jahan signs ultimately aate hain.
- Determinant via row reduction — Example 5 ki trick poori tarah push ki.
- Properties of determinants (multilinearity, alternation) — Examples 6 & 8 inhe use karte hain.
- Invertibility and singular matrices — Examples 6 & 9.
- Adjugate matrix and inverse aur Cramer's rule — dono cofactors par built hain.