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Symmetric, Skew-Symmetric, and Orthogonal matrices are important concepts in Linear Algebra under Engineering Mathematics. These topics are frequently asked in GATE, ESE, AE/JE exams.
A matrix is classified based on its relation with its transpose.
A matrix A is said to be symmetric if:
AT = A
A =
| 1 | 2 |
| 2 | 3 |
AT = A → Symmetric Matrix
A matrix A is said to be skew-symmetric if:
AT = −A
A =
| 0 | 2 |
| -2 | 0 |
AT = −A → Skew-Symmetric Matrix
A matrix A is said to be orthogonal if:
ATA = I
AT = A−1
A =
| 0 | 1 |
| -1 | 0 |
ATA = I → Orthogonal Matrix
Check if matrix is symmetric:
| 1 | 2 |
| 2 | 1 |
Answer: Symmetric
Check if matrix is skew-symmetric:
| 0 | 3 |
| -3 | 0 |
Answer: Skew-Symmetric
Diagonal elements of skew-symmetric matrix?
Answer: 0
If A is orthogonal, find A−1
Answer: AT
Q1. If A is skew-symmetric, what is a₁₁?
Answer: 0
Q2. If A is orthogonal, determinant?
Answer: ±1
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