Orthogonal Matrix
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In linear algebra, an orthogonal matrix is a square matrix with real entries whose columns (or rows) are orthogonal unit vectors (i.e., orthonormal). Because the columns are unit vectors in addition to being orthogonal, some people use the term orthonormal to describe such matrices. An orthogonal matrix Q is necessarily square and invertible, with inverse Q 1 = QT. As a linear transformation, an orthogonal matrix preserves the dot product of vectors, and therefore…mehr

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In linear algebra, an orthogonal matrix is a square matrix with real entries whose columns (or rows) are orthogonal unit vectors (i.e., orthonormal). Because the columns are unit vectors in addition to being orthogonal, some people use the term orthonormal to describe such matrices. An orthogonal matrix Q is necessarily square and invertible, with inverse Q 1 = QT. As a linear transformation, an orthogonal matrix preserves the dot product of vectors, and therefore acts as an isometry of Euclidean space, such as a rotation or reflection. In other words, it is a unitary transformation.