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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Official source

https://mediaspace.epfl.ch/media/0_zmoxq8if

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Analysis: Tensor analysis, Functional analysis

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