Lecture
Jordan Normal Form
Related lectures (34)
Linear Differential Equations
Covers the solution of linear differential equations, focusing on complex solutions and diagonalizable matrices.
Exam Guidelines: COVID Measures 2021
Covers guidelines for an upcoming 2021 exam, focusing on COVID safety measures and exam procedures.
Diagonalization of Matrices: Theory and Examples
Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.
Diagonalization of Matrices
Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.
Orthogonality and Eigenvalues
Explores orthogonality, eigenvalues, and diagonalization in linear algebra, focusing on finding orthogonal bases and diagonalizing matrices.
Exponential of Operators and Matrices
Covers the exponential of operators and matrices, commutation properties, Jordan normal form, and linear algebra concepts related to linear operators and eigenvalue problems.
Linear Algebra: Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.
Matrix Similarity: Diagonalization Rules
Explores matrix similarity and diagonalization rules, emphasizing eigenvectors and distinct eigenvalues.
Eigenvalues and Diagonalization
Explores eigenvalues, diagonalization, and matrix similarity, showcasing their importance and applications.
Eigenvalues and Eigenvectors
Covers eigenvalues, eigenvectors, and matrix similarity for dynamic systems.