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This lecture covers the concept of eigenvalues and eigenvectors in linear algebra, focusing on the properties of endomorphisms in finite-dimensional vector spaces. It explains how to determine invariant subspaces, nilpotent endomorphisms, and direct sum decompositions. The lecture also discusses the diagonalizability of endomorphisms and the minimal polynomial, emphasizing the importance of spectral properties and primary decomposition.