Lecture

Decomposition Spectral: Symmetric Matrices

Description

This lecture covers the decomposition of symmetric matrices into eigenvalues and eigenvectors, leading to the spectral theorem. It explains how a symmetric matrix can be diagonalized orthogonally using an orthogonal matrix P, resulting in a diagonal matrix D. The lecture also discusses the properties of eigenvalues, eigenvectors, and the orthogonality of the eigenspaces.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.