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Use the various characterizations of orthogonal transformations and orthogonal matrices. Find the matrix of an orthogonal projection. Use the properties of the transpose. Which of the matrices in Exercise 1 through 4 are orthogonal? [-0.80.60.60.8].

Short Answer

Expert verified

The Matrix -0.80.60.60.8is orthogonal.

Step by step solution

01

Definition of Orthogonal.

A square matrix is orthogonal matrix if A×AT=I

02

Verification whether the given matrix is orthogonal.

Let the given matrix isA=-0.80.60.60.8.

Then, the transpose of the given matrix isAT=0.80.60.60.8.

Thus, for orthogonal matrix,

A×AT=-0.80.60.60.8×-0.80.60.60.8=-0.8×-0.8+0.6×-0.8+0.60.60.80.6-0.80.6+0.60.6+0.60.80.80.8=0.64+0.36-0.48+0.48-0.48+0.480.36+0.64=1001

Since, the matrix satisfies orthogonal conditionA×AT=I

Hence,A=0.60.80.80.6is an orthogonal matrix.

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