Lecture

Diagonalization of Symmetric Matrices

Description

This lecture covers the diagonalization of symmetric matrices, the spectral theorem, and the use of spectral decomposition. It explains the process of finding eigenvalues and eigenvectors, the properties of symmetric matrices, and the conditions for diagonalizability. The lecture also discusses the concept of orthogonality and normalization in the context of symmetric matrices.

Official source

https://mediaspace.epfl.ch/media/0_8py8u0po

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.

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (26)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.