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This lecture covers the vectorial structure of linear applications, including addition, scalar multiplication, and matrix representation. It explores the behavior of linear applications in terms of matrices and bases, emphasizing the geometric interpretation of determinants. The lecture also delves into the composition and inversion of linear applications, highlighting the relationship between rank and determinant. Various examples and propositions are presented to illustrate the concepts discussed.