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title: 8-3
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5.1

  • eigenvectors are invariant under change of basis.

  • charpoly is invariant under change of basis.

  • A matrix is diagonalizable if and only if there is a basis for Fn consisting of eigenvectors for A.

5.2 Diagonalizbility

  • Conditions for when a matrix is diagonalizable

  • Most of the time is it over CC.

  • always diagonalizable with distinct eigenvalues.

  • Split over F means you have n roots over F

  • A polynomial with coefficients over C splits over C.

  • If diagonalizable, then the charpoly splits.

  • The algebraic multiplicity is a thing

  • Eigenspace and geometric multiplicity is a thing

  • Algebraic mulitplicty bounds geometric multiplicity

  • sum of Eigenspaces give direct sum

  • unions of linearly independent subsets of eigenspaces are still linearly independent.

  • Diagonalizble if and only if algebraic mulitplicity equals geometric multiplicity.