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
Linear Independence, Eigenvector Basis
Graph Chatbot
Related lectures (28)
Previous
Page 2 of 3
Next
Diagonalization of Linear Transformations
Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.
Diagonalization of Matrices and Least Squares
Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.
Diagonalization: Eigenvectors and Eigenvalues
Covers the diagonalization of matrices using eigenvectors and eigenvalues.
Diagonalization of Matrices
Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.
Diagonalization of Linear Maps
Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.
Linear Algebra: Diagonalization
Explores the diagonalization of matrices and the conditions for exact diagonalization, with examples demonstrating the process.
Diagonalization of Linear Transformations
Covers the diagonalization of linear transformations in R^3, exploring properties and examples.
Linear Algebra: Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.
Diagonalization: Theory and Examples
Explores diagonalization of matrices through eigenvalues and eigenvectors, emphasizing distinct eigenvalues and their role in the diagonalization process.
Eigenvalues and Eigenvectors: Understanding Matrix Properties
Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.
