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Lecture
Non-Diagonalizable Cases: Two Eigenvalues (Theory)
Description
This lecture covers the reduction of non-diagonalizable matrices in the context of linear applications. It explains the conditions under which an application is not diagonalizable and how to simplify its expression. The lecture also presents a specific case where the application is not diagonalizable, providing a result and a proof. Geometric interpretations of the concepts are discussed, including bases and vector spaces related to the non-diagonalizable matrices.
Official source
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