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11 Questions around this concept.
Symmetric matrix:
A square matrix is said to be symmetric if A' = A,
Clearly, A = A', hence A is a symmetric matrix
Skew-symmetric matrix:
A square matrix is said to be skew-symmetric if A’ = -A
That means all the diagonal element of a skew-symmetric matrix are 0.
Properties of Symmetric and Skew-symmetric Matrices:
i) If A is a square matrix, then AA’ and A’A are symmetric matrices
ii) If A is a symmetric matrix, then -A, kA, A’, An, B’AB are also symmetric matrix where n ∈ N, k ∈ R and B is a square matrix of order same as matrix A.
iii) If A is a skew-symmetric matrix then
A2n is a symmetric matrix for n ? N.
A2n+1 is a skew-symmetric matrix for n ? N
kA is also a skew-symmetric matrix, where k ∈ R
B’AB is also a skew-symmetric matrix where B a square matrix of order same as matrix A
iv) If A and B are symmetric matrices then:
A ± B, AB+BA are symmetric matrices.
AB - BA is a skew-symmetric matrix.
v) If A and B are skew-symmetric matrices then:
A ± B, AB - BA are skew-symmetric matrices.
AB + BA is a symmetric matrix.
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