Linear Algebra

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Focusing on advanced concepts in linear algebra, this textbook covers vector spaces, linear maps, eigenvectors, eigenvalues, and various forms of matrices, including symmetric and hermitian types. It also explores diagonalization, triangulation, and the Jordan canonical form, along with a chapter on convex sets and the Krein-Milman theorem. Designed for students with prior knowledge of matrices and linear maps, the revised edition features a reorganized structure and new exercises for enhanced learning.