A square matrix A is said to be symmetric if a_ij = a_ji for all i and j, where a_ij is an element present at (i,j)^th position (i^th row and j^th column in matrix A) and a_ji is an element present at (j,i)^th position (j^th row and i^th column in matrix A) whereas square matrix A is said to be skew-symmetric if a_ij =−a_ji for all i and j. In other words, we can say that matrix A is said to be skew-symmetric if the transpose of matrix A is equal to the negative of matrix A i.e (A^T =−A)