This lecture covers the concept of bijective linear maps, canonical bases, invertibility of matrices, isomorphisms of vector spaces, and the rank theorem. It also discusses the dimensions of kernel and image of a matrix.
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.
Explores the definition and properties of linear applications, focusing on injectivity, surjectivity, kernel, and image, with a specific emphasis on matrices.
