If A is a square matrix then show that A.AT a Symmetric matrix
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, a symmetric and skew symmetric matrix both are square matrices. ... If A is a symmetric matrix, then $A = {A^T}$and if A is a skew symmetric matrix then ${A^T} = - A$.
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: Let A be a square matrix, then prove that A−ATis a skew symmetric matrix. ... So, a symmetric and skew symmetric matrix both are square matrices. But the difference between them is, the symmetric matrix is equal to its transpose whereas skew symmetric matrix is a matrix whose transpose is equal to its negative.
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