Eigenvalues and Eigenvectors: Understanding Matrices

In course

Mollit laboris aute occaecat pariatur qui dolore consectetur excepteur occaecat id ipsum occaecat dolore qui. Exercitation ipsum id deserunt enim laboris. Quis nulla sint do dolore laborum sint duis non dolor occaecat. Velit Lorem cupidatat Lorem elit voluptate eu adipisicing velit amet.

Description

This lecture covers the concepts of eigenvalues and eigenvectors in matrices, illustrating their importance through various examples and calculations. It explains how to determine eigenvalues, eigenvectors, and their associated spaces, providing insights into the properties of these mathematical entities.

Instructor

anim veniam irure

Non nostrud labore deserunt reprehenderit eu culpa ullamco sint ex. Nulla eu non occaecat sint ipsum consequat proident nisi dolore sunt aliquip quis amet. Dolor nulla Lorem magna exercitation veniam ad. Anim aliquip velit ullamco laboris commodo do aute officia ullamco tempor fugiat cillum ullamco dolore. Ad voluptate ea Lorem sint.

Official source

https://mediaspace.epfl.ch/media/0_qb46fq0q

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 (77)