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Symmetric And Skew-symmetric

Easymathematics

Every square matrix can be written uniquely as the sum of a symmetric matrix and a skew-symmetric matrix; the symmetric part of a square matrix A is correctly given by which expression?

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About This Question

Subject
mathematics
Chapter
matrices and determinants
Topic
symmetric and skew-symmetric
Difficulty
Easy
Year
2025
Tags
advanced-calculus-drillsymmetric-matrixskew-symmetric-matrixmatrix-decompositiontranspose

Solution

Correct Answer:

Any square matrix decomposes uniquely into symmetric and skew-symmetric parts, a structural theorem frequently tested in JEE Advanced. A symmetric matrix S satisfies S^T = S, while a skew-symmetric matrix K satisfies K^T = -K. Writing A = S + K and taking the transpose gives A^T = S - K. Adding the two relations, A + A^T = 2S, so S = (1/2)(A + A^T), which indeed satisfies S^T = S. Subtracting gives K = (1/2)(A - A^T). Option (1/2)(A - A^T) is the skew-symmetric part, not the symmetric part. Option A + A^T is symmetric but lacks the normalizing factor 1/2, so it is twice the symmetric part. Option A^T - A is skew-symmetric and negatively scaled. Hence the symmetric part is (1/2)(A + A^T). Plausibility check: transposing (1/2)(A + A^T) gives (1/2)(A^T + A), identical to the original, confirming it is genuinely symmetric and correctly normalized.

This easy difficulty mathematics question is from the chapter matrices and determinants, covering the topic of symmetric and skew-symmetric. It appeared in the 2025 exam.

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