Lecture
Symmetric Matrices: Diagonalizability and Eigenvectors
Description
This lecture covers the properties of symmetric matrices, focusing on the theorem stating that a matrix is symmetric if and only if it is diagonalizable in an orthonormal basis. The spectral theorem for symmetric matrices is also discussed, highlighting that such matrices have real eigenvalues, may not be distinct, and can be diagonalized in an orthonormal basis with orthogonal eigenvectors.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on MediaspaceOfficial source
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.