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I want to know the difference between Symmetric Symmetric vs Skew Symmetric?

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A symmetric matrix satisfies $A^T = A$

A skew-symmetric matrix satisfies $A^T = -A$.

Additionally, it is a fact that every matrix can be written as the sum of a symmetric matrix and a skew-symmetric matrix:

$$ A = \frac{1}{2}(A + A^T) + \frac{1}{2}(A - A^T) $$

then $B = \frac{1}{2}(A + A^T)$ is symmetric since

$$ B^T = \frac{1}{2}(A + A^T)^T = \frac{1}{2}(A^T + A) = B $$

and $C = \frac{1}{2}(A - A^T)$ is skew-symmetric:

$$ C^T = \frac{1}{2}(A - A^T)^T = \frac{1}{2}(A^T - A) = -C $$

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$$ \mathbf{Symmetric}: \quad M^T=M $$ $$ \mathbf{Skew\text{-}symmetric}: \quad M^T=-M $$

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Skew-symmetric:

$A=-A^T$

Check out this definition

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