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  • Definition of matrix diagonalization
  • Definition of diagonalizable matrix
  • An n-by-n matrix is diagonalizable if and only if it has n linearly independent eigenvectors.
  • An n-by-n matrix is diagonalizable if and only if the sum of the dimensions of the eigenspaces equals n.
  • Diagonalizability requires splitting and equality of geometric and algebraic multiplicities
  • A diagonalizable matrix is diagonalized by a matrix having the eigenvectors as columns.
  • An n-by-n matrix is diagonalizable if and only if the union of the basis vectors for the eigenspaces is a basis for R^n (or C^n).
  • An n-by-n matrix with n distinct eigenvalues is diagonalizable.
  • Real block form and complex diagonalization for a 2-by-2 matrix
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  1. Diagonalizability requires splitting and equality of geometric and algebraic multiplicities

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  • A linear transformation is diagonalizable if there is a basis such that each element is an eigenvector of the transformation.Close match
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  • A matrix and its transpose have the same eigenvalues/characteristic polynomial.Close match
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