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
Non-Diagonalizable Case: Triple Eigenvalue
Graph Chatbot
Related lectures (27)
Previous
Page 2 of 3
Next
Diagonalization: Criteria and Examples
Covers the criteria for diagonalizing a matrix and provides illustrative examples.
Matrix Equations: Finding Free Variables
Explains how to find free variables in matrix equations and analyze characteristic polynomials.
Matrix Equation Resolution
Covers the resolution of a system of equations using the Gramer rule.
Jordan decomposition
Explores the unique decomposition of matrices into diagonalizable and nilpotent parts, showcasing their properties and applications.
Elementary Matrices and Inverses
Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.
Diagonalization in 3D Linear Algebra
Explores diagonalization in 3D linear algebra, covering conditions for diagonalizability and eigenvectors.
Diagonalizable Matrices: Properties and Examples
Explores the properties and examples of diagonalizable matrices, emphasizing the relationship between eigenvectors and eigenvalues.
Linear Operators: Basis Transformation and Eigenvalues
Explores basis transformation, eigenvalues, and linear operators in inner product spaces, emphasizing their significance in Quantum Mechanics.
Eigenvalues of Matrices: Properties and Relations
Explores properties and relations of eigenvalues of square matrices and their products.
Orthogonally Diagonalizable Matrices
Explores orthogonally diagonalizable matrices, eigenvectors, bases, and matrix properties.