Jordan Form and Generalised Eigenvectors

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Jordan Form and Generalised Eigenvectors

When a matrix lacks enough eigenvectors for diagonalisation, Jordan chains of generalised eigenvectors describe its structure. A Jordan block separates an eigenvalue on the diagonal from nilpotent superdiagonal coupling. The distinction between a formal hypothesis and an intuitive picture is made explicit so that calculations can be justified, not merely patterned.

Worked reasoning

  1. A repeated eigenvalue may have too few independent eigenvectors.
  2. Generalised eigenvectors complete a basis of chains.

Why is Jordan form needed?

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