An n-by-n matrix with n distinct eigenvalues is diagonalizable.

math.la.t.mat.diagonalizable.distinct


Diagonalization theorem: a nxn matrix A is diagonalizable if and only if it has n linearly independent eigenvectors. If so, the matrix factors as A = PDP^{-1}, where D is diagonal and P is invertible (and its columns are the n linearly independent eigenvectors). Algorithm to diagonalize a matrix.

Created On
August 25th, 2017
3 years ago
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This section's topic will perhaps seem out of place at first, but we will make the connection soon with eigenvalues and eigenvectors. This is also our first look at one of the central ideas of Chapter R.

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Submitted At
September 11th, 2017
 3 years ago
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