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If A is an orthogonal matrix then |A| is...

If A is an orthogonal matrix then `|A|` is

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If A is a orthogonal matrix, then

If A is a orthogonal matrix, then

If A is an orthogonal matrix then find |A|.

A square matrix A is said to be orthogonal if A^T A=I If A is a sqaure matrix of order n and k is a scalar, then |kA|=K^n |A| Also |A^T|=|A| and for any two square matrix A d B of same order \AB|=|A||B| On the basis of abov einformation answer the following question: If A is an orthogonal matrix then (A) A^T is an orthogonal matrix but A^-1 is not an orthogonal matrix (B) A^T is not an orthogonal mastrix but A^-1 is an orthogonal matrix (C) Neither A^T nor A^-1 is an orthogonal matrix (D) Both A^T and A^-1 are orthogonal matices.

A square matrix A is said to be orthogonal if A^T A=I If A is a sqaure matrix of order n and k is a scalar, then |kA|=K^n |A| Also |A^T|=|A| and for any two square matrix A d B of same order \AB|=|A||B| On the basis of abov einformation answer the following question: If A is an orthogonal matrix then (A) A^T is an orthogonal matrix but A^-1 is not an orthogonal matrix (B) A^T is not an orthogonal mastrix but A^-1 is an orthogonal matrix (C) Neither A^T nor A^-1 is an orthogonal matrix (D) Both A^T and A^-1 are orthogonal matices.

If A is an orthogonal matrix , then A^(-1) equals :

If A is an orthogonal matrix, then A^(-1) equals

Assertion (A) : The matrix [(cosalpha,sinalpha),(-sinalpha,cosalpha)] is an orthogonal matrix. Reason (R) : If A is an orthogonal matrix then A A^(T)=A^(T)A=I