Lecture

Linear Algebra: Change of Basis Matrices

Related lectures (37)
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Linear Algebra Basics: Matrix Representations and Transformations
Explores linear algebra basics, emphasizing matrix representations of transformations and the importance of choosing appropriate bases.
Matrix Operations: Definitions and Properties
Covers the definitions and properties of matrices, including matrix operations and determinants.
Matrix Representations of Linear Applications
Covers matrix representations of linear applications in R³ and the invariance of rank.
Linear Algebra: Singular Value Decomposition
Delves into singular value decomposition and its applications in linear algebra.
Linear Transformations: Matrices and Applications
Covers linear transformations using matrices, focusing on linearity, image, and kernel.
Linear Algebra: Matrix Operations and Basis
Explores matrix operations, rank determination, kernel dimensions, and basis concepts in linear algebra.
Linear Algebra: Matrix Transformations and Determinants
Explores matrix transformations, coordinates calculation, and determinant properties in linear algebra.
Diagonalization of Matrices
Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.
Matrix Calculus
Covers matrix calculus, including operations and determinants.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.