This lecture covers the concept of bijective linear maps, canonical bases, invertibility of matrices, isomorphisms of vector spaces, and the rank theorem. It also discusses the dimensions of kernel and image of a matrix.
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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.
