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This lecture focuses on linear applications, matrices, and vector spaces. The instructor explains the relationship between matrices and linear applications, defining the kernel and image of a matrix. Through examples with polynomials and matrices, the concept of linear independence is introduced, highlighting its importance in vector spaces.
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