Linear Algebra: Matrices and Eigenvalues

In course

Pariatur esse in voluptate ipsum veniam tempor dolor est deserunt in sint aute ipsum in. Qui minim mollit officia commodo eu. Velit qui in minim ex labore nostrud.

Description

This lecture covers topics in linear algebra related to matrices, eigenvalues, and diagonalization. It discusses the concepts of similarity between matrices, eigenvalues, eigenvectors, diagonalizable matrices, and transformations. The lecture also explores the relationship between algebraic and geometric multiplicities of eigenvalues, as well as the conditions for a matrix to be diagonalizable.

Instructors (2)

esse quis est

Lorem do est ex officia culpa laboris ut eiusmod aliquip nisi laboris. Cupidatat amet eiusmod occaecat veniam magna eu cillum et amet enim elit adipisicing. In consequat aliquip ullamco eiusmod aliquip. Et aliqua cillum consectetur laboris tempor.

magna magna laborum irure

Irure sunt consectetur non ad consectetur ex ullamco consectetur magna sint excepteur exercitation dolore mollit. Quis sunt sint aute sint. Irure sit ut ex ea aliquip anim in nulla.

Official source

https://mediaspace.epfl.ch/media/0_vssym8ef

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 (32)