A similarity transformation is a mathematical operation that changes a matrix into another matrix that represents the same linear transformation but in a different basis, preserving properties like eigenvalues. This transformation often involves multiplying the matrix by an invertible matrix and its inverse, indicating a change of coordinates while maintaining the inherent characteristics of the original matrix. This concept is crucial in understanding matrix equations, particularly in applications like Lyapunov and Sylvester equations.
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