Lecture
Eigenspaces: Definitions and Examples
Description
This lecture covers the concept of eigenspaces in linear algebra, focusing on the definition of eigenspaces associated with a linear transformation and the diagonalization of matrices. The instructor explains how to determine eigenspaces through examples involving transformations, values, and vectors. Various properties of eigenspaces are discussed, such as being a vector subspace. The lecture concludes with practical examples of determining eigenspaces for specific matrices and values, showcasing the application of eigenspaces in solving systems of equations.
Instructor
nisi et elit
Minim et fugiat proident nostrud esse. Amet duis sunt consectetur velit ipsum commodo esse laboris mollit nulla nulla ad labore sunt. Esse sit cillum incididunt nostrud elit sunt. Culpa nisi consectetur elit cupidatat reprehenderit.
Official 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.