Orthogonal Matrix - Linear Algebra

AI Thread Summary
An orthogonal matrix is defined as a square matrix whose rows and columns are orthogonal unit vectors, meaning that the matrix multiplied by its transpose equals the identity matrix. This property implies that the inverse of an orthogonal matrix is equal to its transpose. Orthogonal matrices preserve vector norms and angles, making them significant in various applications, including computer graphics and numerical methods. Understanding orthogonality involves recognizing the geometric interpretation of vectors and their relationships in space. Clarifying these concepts can aid in solving related problems in linear algebra.
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Homework Statement



[PLAIN]http://img504.imageshack.us/img504/4985/capturewm.jpg

Homework Equations



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The Attempt at a Solution



This is more of a conceptual question so I need a little help knowing what kinds of things to look for.
 
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Well what does it mean for a matrix to be orthogonal?
 
I picked up this problem from the Schaum's series book titled "College Mathematics" by Ayres/Schmidt. It is a solved problem in the book. But what surprised me was that the solution to this problem was given in one line without any explanation. I could, therefore, not understand how the given one-line solution was reached. The one-line solution in the book says: The equation is ##x \cos{\omega} +y \sin{\omega} - 5 = 0##, ##\omega## being the parameter. From my side, the only thing I could...

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