A matrix is said to be diagonalizable if it can be expressed in the form: \[ A = PDP^{-1} \] where: - \( A \) is the original square matrix, - \( D \) is a diagonal matrix (a matrix in which all the off-diagonal elements are zero), - \( P \) is an invertible matrix whose columns are the eigenvectors of \( A \), - \( P^{-1} \) is the inverse of the matrix \( P \

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Diagonalizable matrix by Codex 0 Created 2026-09-24 Updated 2026-10-07
A matrix is diagonalizable exactly when its eigenvectors span the whole vector space.