Foundations — Determinant of 3×3 matrix — cofactor expansion
2.6.8 · D1· Maths › Matrices & Determinants — Introduction › Determinant of 3×3 matrix — cofactor expansion
Is page par koi bhi assumption nahi hai. Parent note 2.6.8 padhne se pehle, tumhe kuch symbols aur pictures mein fluent hona zaroori hai. Hum har ek cheez ek-ek karke, unke dependency order mein, ground up se build karenge.
1. Matrix kya hai, aur chhote numbers ka matlab kya hai
Isme 3 rows aur 3 columns hain, isliye hum ise 3×3 matrix kehte hain (kaho "three by three": pehle rows, phir columns).
Picture: ek spreadsheet socho, ya ek chhoti cinema mein seats — 3 rows deep, 3 seats wide.
Ab, hum ek specific number ko kaise point karte hain? Hum ek subscript use karte hain — woh chhote numbers jo ek letter ke neeche aur daayein taraf likhe jaate hain.
Figure dekho. Entry row 2, column 3 mein hai — woh upar matrix mein hai. Entry row 3, column 1 hai — woh hai.
Yeh topic isko kyun chahta hai: cofactor expansion baar baar "row aur column delete karo" aur "sign " ki baat karta hai. Agar tum instantly locate nahi kar sakte, toh kuch bhi samajh nahi aayega.
2. Do vertical bars — determinant notation
Tum wohi numbers ka grid do alag tareekon se likhte dekkhoge:
Hum determinant ko bhi likhte hain. Toh yeh teeno same single number ko represent karte hain:
Picture: brackets = ingredients ka box; bars = ek number jo tum unse banate ho.
Yeh topic isko kyun chahta hai: har minor vertical bars ke saath likha jaata hai — woh khud ek determinant hai, matrix nahi. Dono ko confuse karna poori formula ko nonsense bana deta hai. "Yeh number ka matlab kya hai" ki deeper story ke liye 2.6.01-What-is-a-determinant dekho.
3. 2×2 determinant — har cheez ka atom
Parent note mein sab kuch aakhirkar 2×2 determinants compute karne par aa jaata hai, isliye hamen yeh perfectly yaad hona chahiye.
Yeh words mein kya kehta hai: main diagonal (top-left se bottom-right: aur ) ke do numbers ko multiply karo, phir anti-diagonal (top-right se bottom-left: aur ) ke product ko subtract karo.
"" kyun aur "" kyun nahi? 2×2 ka determinant do rows se bane parallelogram ka signed area hai (jo arrows sochke origin se). Subtraction wahi hai jo area ko negative banata hai jab do arrows swap hote hain — yeh orientation record karta hai (kaun sa arrow "left par" hai). Amber parallelogram figure mein dekho: uska area exactly hai, aur sign batata hai ki doosra arrow pehle se clockwise hai ya counter-clockwise. Poori kahani 2.6.05-Determinant-of-2×2-matrix mein hai.
Yeh topic isko kyun chahta hai: cofactor expansion ek 3×3 determinant ko teen aise 2×2 determinants mein convert karta hai. Yahi woh tool hai jis par poora method bana hai.
4. Row aur column delete karna — minor
Yeh cofactor expansion ki central move hai, aur yeh purely visual hai.
Figure follow karo. (row 1, column 2 ki position ka minor) nikalne ke liye:
- Row 1 par ungli rakho — poori row cross out karo.
- Column 2 par ungli rakho — poori column cross out karo.
- Chaar numbers bachte hain, corners mein. Unhe apni original positions mein ek 2×2 matrix ke roop mein padho.
- Iska determinant lo.
Hamare matrix ke liye:
Yeh topic isko kyun chahta hai: minors woh "chhote pieces" hain jo hum pehle se compute karna jaante hain. Expansion ka har term (ek number) × (ek sign) × (ek minor) hota hai.
5. Sign — checkerboard
Aakhri symbol ki ek chhoti si power hai.
Kyun? ko khud se even number of times multiply karne par milta hai; odd number of times karne par ek bachta hai. Example: ; aur .
Practice mein tumhe power compute karne ki zaroorat nahi hai. Bas checkerboard yaad karo, jahan top-left hamesha hota hai:
Picture: ek chessboard. Corner square white (+) hai, aur colour har baar flip hota hai jab tum ek square sideways ya up/down step karte ho.
Toh cofactor bas apna sahi plus ya minus pehne hua minor hai.
Yeh topic isko kyun chahta hai: signs decoration nahi hain — yeh orientation record karte hain (positive vs negative volume), bilkul jaise area ke liye mein minus ne kiya. Inhe drop karo aur tum har baar galat number paoge.
6. Greek letters aur sum symbol
Parent note ki derivation mein "scary-looking" shorthand ke teen pieces hain. Yeh sab hai, demystified.
Yeh bas "har column ke liye yeh karo aur total karo" likhne ka compact tarika hai.
Parent note ka proof section (ek permutation — columns ki reshuffling) aur (iska sign, ya ) bhi mention karta hai. Cofactor expansion use karne ke liye tumhe yeh nahi chahiye — yeh sirf "yeh kyun kaam karta hai" derivation mein aate hain. Agar yeh tumhe darrate hain, pehli baar padhte waqt us block ko skip karo; recipe apne aap khadi hai.
7. Linear dependence — kyun kuch determinants zero hote hain
Parent note ka Example 3 zero determinant explain karne ke liye "linearly dependent rows" phrase use karta hai. Yeh raha plain-words picture.
Yeh topic isko kyun chahta hai: yeh explain karta hai ki kab aur kyun hota hai — sabse zaroori special case. Zyaada detail mein 2.6.09-Properties-of-determinants mein.
Prerequisite map
Har arrow ka matlab hai "tumhe left box chahiye pehle, tab right box samajh aayega." Topic neeche hai; is page par har foundation isme feed karta hai.
Yeh aage kahan jaate hain
- Number khud aur iska matlab: 2.6.01-What-is-a-determinant
- 2×2 atom poori tarah se: 2.6.05-Determinant-of-2×2-matrix
- Zeros aur dependence ka faida uthane wale shortcuts: 2.6.09-Properties-of-determinants
- Determinants se matrices invert karna: 2.6.11-Determinant-and-matrix-inverse
- Unse equations solve karna: 2.7.03-Cramers-rule
- 3D geometry ka link: 3.4.02-Cross-product-and-determinants
Equipment checklist
Apne aap ko test karo — answer out loud bolo, phir reveal karo.