Orthogonal transformations are linear transformations that preserve the length of vectors and the angles between them, maintaining the inner product structure. These transformations can be represented by orthogonal matrices, which have the property that their transpose is equal to their inverse. Such transformations include rotations and reflections, which are essential in various applications, including computer graphics, signal processing, and data analysis.
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