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Lecture
Jordan Normal Form
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Related lectures (30)
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Vector Spaces: Structure and Bases
Covers vector spaces, bases, and decomposition of vectors in R³.
Diagonalization of Matrices: Theory and Examples
Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.
Jordan Normal Form
Covers the Jordan Normal Form and its application in linear algebra.
Dimension Theory of Rings
Explores the dimension theory of rings, focusing on chains of ideals and prime ideals.
Jordan Normal Form: Part 1
Covers the Jordan normal form and the decomposition of vector spaces by an endomorphism.
Diagonalization of Matrices
Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.
Linear Mapping Basics
Covers the basics of linear mapping and coordinate systems.
Diagonalization of Matrices and Least Squares
Covers diagonalization of matrices, eigenvectors, linear maps, and least squares method.
Irreducible Polynomials and Finite Fields
Explores irreducible polynomials, finite fields, and the construction of unique finite fields from irreducible polynomials.
Matrix Eigenvalues and Eigenvectors
Covers matrix eigenvalues, eigenvectors, and their linear independence.