Lecture

Symmetric Matrices and Eigenvectors

In course

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Description

This lecture covers the concept of symmetric matrices, orthogonal bases, and eigenvectors. It explains the diagonalization process, spectral theorem, and the conditions for a matrix to be diagonalizable. The instructor demonstrates how to find eigenvectors and normalize them to form a basis. The lecture also discusses the properties of symmetric matrices and their relation to diagonalizability.

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Official source

https://mediaspace.epfl.ch/media/0_proxir3v

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

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