This lecture covers the representation of linear applications through matrices, diagonalizable matrices, bases formed by columns, dot product, orthogonality, orthogonal vectors, and orthogonal sets in vector spaces. The instructor explains the concept of diagonalizable matrices, the conditions for orthogonality, and the properties of matrices in various vector spaces.
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