A similarity transformation is a mathematical operation that transforms a geometric figure or a matrix into another figure or matrix that maintains the same shape but may differ in size, position, or orientation. This type of transformation is significant because it preserves the ratios of distances and angles, which is crucial when analyzing properties like eigenvalues and eigenvectors in the context of diagonalization and its applications.
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