Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts of isomorphism, dimension, bases, and rank in the context of linear transformations between vector spaces. It explains the properties of isomorphisms, the dimension of vector spaces, the concept of bases, and the rank of matrices. The lecture also delves into the relationship between the dimensions of the kernel and the image of a linear transformation, as well as the equivalence of properties related to matrices.
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 Mediaspace