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Lecture
Linear Applications and Eigenvectors
Description
This lecture covers the concepts of linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n. It explains how to interpret matrices as linear applications, find eigenvectors, and determine if vectors are orthogonal. The lecture also discusses the concept of orthogonal sets of vectors and the calculation of scalar products in R^n.
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