Symmetric, Skew-Symmetric & Orthogonal Matrices – Engineering Maths for GATE, ESE, AE/JE | Priyanka Ma’am

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.

Basic Concepts

A matrix is classified based on its relation with its transpose.

Symmetric Matrix

A matrix A is said to be symmetric if:

AT = A

Example

A =

12
23

AT = A → Symmetric Matrix

Skew-Symmetric Matrix

A matrix A is said to be skew-symmetric if:

AT = −A

Important Property

Example

A =

02
-20

AT = −A → Skew-Symmetric Matrix

Orthogonal Matrix

A matrix A is said to be orthogonal if:

ATA = I

AT = A−1

Example

A =

01
-10

ATA = I → Orthogonal Matrix

Important Properties

Solved Examples

Example 1

Check if matrix is symmetric:

12
21

Answer: Symmetric

Example 2

Check if matrix is skew-symmetric:

03
-30

Answer: Skew-Symmetric

Example 3

Diagonal elements of skew-symmetric matrix?

Answer: 0

Example 4

If A is orthogonal, find A−1

Answer: AT

Shortcut Tricks

Questions

Q1. If A is skew-symmetric, what is a₁₁?

Answer: 0

Q2. If A is orthogonal, determinant?

Answer: ±1

Exam Tips


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