Concept

Diagonalizable matrix

Summary
In linear algebra, a square matrix A is called diagonalizable or non-defective if it is similar to a diagonal matrix, i.e., if there exists an invertible matrix P and a diagonal matrix D such that P^{-1}AP=D, or equivalently A = PDP^{-1}. (Such P, D are not unique.) For a finite-dimensional vector space V, a linear map T:V\to V is called diagonalizable if there exists an ordered basis of V consisting of eigenvectors of T. These definitions are equivalent: if T has a matrix representation T = PDP^{-1} as above, then the column vectors of P form a basis consisting of eigenvectors of T, and the diagonal entries of D are the corresponding eigenva
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