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This lecture covers the concept of subspaces in linear algebra, focusing on the dimension of vector subspaces and the compatibility of matrix equations. It also explores the properties of linear transformations, including examples and the matrix representation of linear transformations. The lecture delves into the matrix of a linear transformation, the kernel, and the image of a linear transformation, providing definitions and illustrating their significance through examples.
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