theorems of symmetric and skew symmetric matrices
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In mathematics, particularly in linear algebra, a skew-symmetric (or antisymmetric or antimetric matrix is a square matrix whose transpose equals its negative; that is, it satisfies the condition
AT = −A.
In terms of the entries of the matrix, if aijdenotes the entry in the i th row and j th column; i.e., A = (aij), then the skew-symmetric condition is aji = −aij. For example, the following matrix is skew-symmetric:
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In mathematics, particularly in linear algebra, a skew-symmetric (or antisymmetric or antimetric matrix is a square matrix whose transpose equals its negative; that is, it satisfies the condition
AT = −A.
In terms of the entries of the matrix, if aijdenotes the entry in the i th row and j th column; i.e., A = (aij), then the skew-symmetric condition is aji = −aij. For example, the following matrix is skew-symmetric:
please tick the brainliest answer.
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