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2 Answers

Best answer
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1- Its is Not Idempotent as it does not satisfy Idempotent Property(In algebra, an idempotent matrix is a matrix which, when multiplied by itself, yields itself.That is, the matrix M is idempotent if and only if MM = M. For this product MM to be definedM must necessarily be a square matrix. ). 

2- It is not Orthogonal as it does not satisfy Orthogonal Property( Q^{\mathrm {T} }=Q^{-1},\,Q^{\mathrm {T} }Q=QQ^{\mathrm {T} }=I, In linear algebra, an orthogonal matrix or real orthogonal matrix is a square matrix with real entries whose columns and rows are orthogonal unit vectors ,) .

3- Check for Symmetric

{\displaystyle A=A^{\mathrm {T} }.}

It is not Symmetric

4- Check For Skew Symmetric

aij = −aji.

It is Skew Symmetric

Hence B is Correct Answer.

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Just check out Skew Symmetric matrix Condition: A= -(A^T)

where A^T= transpose of matrix.

U will get answer Skew Symmetric matrix

Ans:B)

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