Har square matrix ek number se associated hoti hai — determinant. Yeh number bahut kuch batata hai!
Kya tumhe pata hai ki ek triangle ki area nikalne ka formula ek determinant se aata hai? Agar teen points (x₁,y₁), (x₂,y₂), (x₃,y₃) hain, toh unka triangle ka area = ½|det| ek 3×3 matrix ka! Determinant ek ऐसा magical number hai jo matrix ki "strength" batata hai — kya system solvable hai, kya matrix invertible hai, kya points collinear hain — sab kuch!
A = [[a,b],[c,d]] ke liye: |A| = det(A) = ad - bc
Yeh ek simple formula hai — diagonal multiply karo aur subtract karo.
= 3×4 - 1×2 = 12 - 2 = 10
3×3 determinant ko hum pehli row ke saath expand karte hain (cofactor expansion):
A = [[1,2,3],[4,5,6],[7,8,9]]
|A| = 1×(-3) - 2×(-6) + 3×(-3) = -3 + 12 - 9 = 0
|A| = 0 → Matrix is singular (not invertible)!
Equations AX = B mein: X = A⁻¹B (agar |A| ≠ 0)
Yeh method 2 ya 3 variables wale linear equations efficiently solve karta hai.
Matrix form: A = [[2,1],[1,3]], X = [x,y]ᵀ, B = [5,10]ᵀ
|A| = 6-1 = 5 ≠ 0 ✓
adj(A) = [[3,-1],[-1,2]]
A⁻¹ = (1/5)[[3,-1],[-1,2]]
X = A⁻¹B = (1/5)[[3,-1],[-1,2]][5,10]ᵀ = (1/5)[5,5]ᵀ = [1,1]ᵀ
∴ x = 1, y = 1
Q1. Find det([[2,-1,0],[1,3,-2],[0,1,4]])
Expand along row 1: 2×(12+2) - (-1)×(4-0) + 0 = 2×14 + 4 = 28+4 = 32
Q2. Find A⁻¹ for A = [[1,2],[3,7]].
|A|=7-6=1. adj(A)=[[7,-2],[-3,1]]. A⁻¹=[[7,-2],[-3,1]]
Q3. Area of triangle with vertices (1,2), (3,4), (5,2).
det = |1 2 1; 3 4 1; 5 2 1| = 1(4-2)-2(3-5)+1(6-20) = 2+4-14 = -8. Area = ½|−8| = 4 sq units.