Do these terms practically refer to the same thing?(adsbygoogle = window.adsbygoogle || []).push({});

Like a matrix is diagonalizable iff it can be expressed in the form A=PDP[itex]^{-1}[/itex], where A is n×n matrix, P is an invertible n×n matrix, and D is a diagonal matrix

Now, this relationship between the eigenvalues/eigenvectors is sometimes referred to as eigen decomposition? Can someone clarify these terms for me.

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# Matrix Diagonalization & Eigen Decomposition

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