Symmetric and Skew-Symmetric Matrices
The two definitions
A square matrix is symmetric if , and skew-symmetric if . Every square matrix splits into a symmetric part plus a skew-symmetric part:
Worked example: a 2×2 matrix
Split . With :
The first equals its transpose, the second's transpose is its negative, and their sum is .
Worked example: a 3×3 matrix
Split .
Adding the two returns entry by entry.
Key properties
- Every diagonal entry of a skew-symmetric matrix is 0, since .
- A skew-symmetric matrix of odd order has determinant 0. For example, .
- For any square : and are symmetric, and is skew-symmetric.
- The only matrix that is both symmetric and skew-symmetric is the zero matrix.
Common mistakes
- Forgetting the factor in the decomposition, which makes the parts add up to .
- Calling a matrix skew-symmetric with a nonzero diagonal. Its diagonal must be all zeros.
- Transposing incorrectly. Rows become columns: entry moves to .
Where this comes up in exams
The 2025-26 CBSE Class XII syllabus lists symmetric and skew-symmetric matrices with the transpose, and JEE Advanced 2026 lists symmetric and skew-symmetric matrices and their properties. JEE Main 2026 lists types of matrices without naming these two.
Checked against CBSE Mathematics curriculum, Classes XI-XII (2025-26), JEE (Advanced) 2026 syllabus and JEE (Main) 2026 syllabus (NTA). Syllabi can change from year to year, so confirm with the latest official notification for your exam.
- Fit it into your week with the free timetable generator.
- Mark it off as you revise in the syllabus tracker.
- See how long you have left: JEE Main 2027 (Session 1) countdown and JEE Advanced 2027 countdown.