A similarity transformation is a mathematical operation that transforms a matrix into another matrix that retains its eigenvalues and geometric properties, thereby preserving the essential characteristics of the system represented by the matrix. This type of transformation is often used in the context of diagonalization, where a matrix can be represented in a simpler form, making it easier to analyze and solve problems related to eigenvalues and eigenvectors.
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