This lecture covers the concepts of kernel and image of a linear application, illustrating through examples the properties of these fundamental concepts in linear algebra. The instructor explains how to determine the kernel and image of a linear transformation, emphasizing the importance of understanding these concepts in the context of matrices and vector spaces.
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