This lecture covers the Rank Theorem in linear algebra, focusing on vector spaces, linear applications, image, rank, and preimages. It explains the concepts of kernel, surjectivity, injectivity, and bases of vector spaces.
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Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
