Learn every concept of Matrices with diagrams, formulas, and examples — made for lifetime understanding!
A Matrix is a rectangular arrangement of numbers (or functions) in rows and columns. It’s widely used in linear algebra, physics, statistics, and data science.
Representation of a 3×3 Matrix.
Theorem 1: If A and B are square matrices of same order, then |AB| = |A| × |B|.
Theorem 2: (Aᵀ)⁻¹ = (A⁻¹)ᵀ
Example 1: Find determinant of A = [[2,3],[1,4]]
Solution: |A| = (2×4) − (3×1) = 8 − 3 = 5
Example 2: If A = [[1,2],[3,4]], find A⁻¹.
Solution: |A| = −2, adj(A) = [[4, −2],[−3, 1]], A⁻¹ = (1/|A|) adj(A) = (−½)×adj(A)
Example 3: Verify (AB)ᵀ = BᵀAᵀ.
Take A=[[1,2],[3,4]], B=[[2,0],[1,2]] → LHS=(AB)ᵀ=[[4,4],[10,8]]ᵀ=[[4,10],[4,8]], RHS=BᵀAᵀ=[[4,10],[4,8]] ✅
| Concept | Formula / Property |
|---|---|
| Transpose | (Aᵀ)ᵀ = A |
| Determinant | |AB| = |A||B| |
| Inverse | A⁻¹ = (1/|A|) adj(A) |
| Identity | AI = IA = A |