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Question: If \(A\) is a skew symmetric matrix then \({A^T}\) (A) \( - A\) (B) \(A\) (C)\(0\) (D)diago...

If AA is a skew symmetric matrix then AT{A^T}
(A) A - A
(B) AA
(C)00
(D)diagonal matrix

Explanation

Solution

A skew symmetric matrix is a square matrix whose transpose is its negation, i.e., it satisfies the condition: A=AT - A = {A^T}, where AT{A^T} is the transpose of matrix AA.

Complete step-by-step answer:
Here it is necessary to understand the transpose of a matrix and skew a symmetric matrix to find the solution of a given question.
Step 1: Transpose of a matrix- Let AA be a matrix of order m×nm \times n. Then, the n×mn \times m order matrix obtained by interchanging the rows and columns of AA is called the transpose of AA and is denoted by AT{A^T}.
For ex- If A = {\left[ {\begin{array}{*{20}{c}} 1&3&5 \\\ 2&4&6 \end{array}} \right]_{2 \times 3}}, then {A^T} = {\left[ {\begin{array}{*{20}{c}} 1&2 \\\ 3&4 \\\ 5&6 \end{array}} \right]_{3 \times 2}}
Step2: Skew symmetric matrix- A matrix can be skew symmetric only if it is square. If the transpose of a matrix is equal to the negative of itself, the matrix is said to be skew symmetric. This means that for a matrix to be skew symmetric,
AT=A{A^T} = - A
For ex- If A = \left[ {\begin{array}{*{20}{c}} 0&2&3 \\\ { - 2}&0&4 \\\ { - 3}&{ - 4}&0 \end{array}} \right], then {A^T} = \left[ {\begin{array}{*{20}{c}} 0&{ - 2}&{ - 3} \\\ 2&0&{ - 4} \\\ 3&4&0 \end{array}} \right] =A = - A
Hence, for a skew symmetric matrix: AT=A{A^T} = - A
So, option (A) is the correct answer.

Note: It may be noted that the diagonal elements of a skew symmetric matrix are always equal to zero and therefore the sum of elements of the main diagonals is also equal to zero.