Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Diagonalization: Eigenvectors and Eigenvalues
Graph Chatbot
Related lectures (27)
Previous
Page 3 of 3
Next
Diagonalization in 3D Linear Algebra
Explores diagonalization in 3D linear algebra, covering conditions for diagonalizability and eigenvectors.
Diagonalization: Theory and Examples
Explores diagonalization of matrices through eigenvalues and eigenvectors, emphasizing distinct eigenvalues and their role in the diagonalization process.
Matrix Equations: Finding Free Variables
Explains how to find free variables in matrix equations and analyze characteristic polynomials.
Diagonalization of Matrices and Least Squares
Covers diagonalization of matrices, eigenvectors, linear maps, and least squares method.
Linear Algebra: Canonical Basis
Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.
Diagonalization of Linear Maps
Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.
Linear Algebra: Matrix Operations
Explores the equivalence between different properties of linear transformations represented by matrices and various matrix operations.