Symmetric and Skew-Symmetric Matrices

The two definitions

A square matrix AA is symmetric if AT=AA^T = A, and skew-symmetric if AT=−AA^T = -A. Every square matrix splits into a symmetric part plus a skew-symmetric part:

A=12(A+AT)⏟symmetric+12(A−AT)⏟skew-symmetricA = \underbrace{\dfrac{1}{2}(A+A^T)}_{\text{symmetric}} + \underbrace{\dfrac{1}{2}(A-A^T)}_{\text{skew-symmetric}}

Worked example: a 2×2 matrix

Split A=[351−1]A = \begin{bmatrix} 3 & 5 \\ 1 & -1 \end{bmatrix}. With AT=[315−1]A^T = \begin{bmatrix} 3 & 1 \\ 5 & -1 \end{bmatrix}:

12(A+AT)=[333−1],12(A−AT)=[02−20]\dfrac{1}{2}(A+A^T) = \begin{bmatrix} 3 & 3 \\ 3 & -1 \end{bmatrix}, \qquad \dfrac{1}{2}(A-A^T) = \begin{bmatrix} 0 & 2 \\ -2 & 0 \end{bmatrix}

The first equals its transpose, the second's transpose is its negative, and their sum is AA.

Worked example: a 3×3 matrix

Split A=[124681357]A = \begin{bmatrix} 1 & 2 & 4 \\ 6 & 8 & 1 \\ 3 & 5 & 7 \end{bmatrix}.

12(A+AT)=[14724837237],12(A−AT)=[0−21220−2−1220]\dfrac{1}{2}(A+A^T) = \begin{bmatrix} 1 & 4 & \tfrac{7}{2} \\ 4 & 8 & 3 \\ \tfrac{7}{2} & 3 & 7 \end{bmatrix}, \qquad \dfrac{1}{2}(A-A^T) = \begin{bmatrix} 0 & -2 & \tfrac{1}{2} \\ 2 & 0 & -2 \\ -\tfrac{1}{2} & 2 & 0 \end{bmatrix}

Adding the two returns AA entry by entry.

Key properties

  • Every diagonal entry of a skew-symmetric matrix is 0, since aii=−aiia_{ii} = -a_{ii}.
  • A skew-symmetric matrix of odd order has determinant 0. For example, det⁡[02−3−2043−40]=0\det\begin{bmatrix} 0 & 2 & -3 \\ -2 & 0 & 4 \\ 3 & -4 & 0 \end{bmatrix} = 0.
  • For any square AA: A+ATA + A^T and AATAA^T are symmetric, and A−ATA - A^T is skew-symmetric.
  • The only matrix that is both symmetric and skew-symmetric is the zero matrix.

Common mistakes

  • Forgetting the factor 12\tfrac{1}{2} in the decomposition, which makes the parts add up to 2A2A.
  • Calling a matrix skew-symmetric with a nonzero diagonal. Its diagonal must be all zeros.
  • Transposing incorrectly. Rows become columns: entry (i,j)(i, j) moves to (j,i)(j, i).

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.

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This decomposition sits alongside the other special matrix shapes and the basic matrix operations.