Jordan Normal Form

Related lectures (30)

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Covers the concept of diagonalization of matrices through the study of eigenvectors and eigenvalues.

Explores basis transformation, eigenvalues, and linear operators in inner product spaces, emphasizing their significance in Quantum Mechanics.

Explores eigenvalues and eigenvectors in matrices through examples and calculations.

Covers the Jordan normal form and the decomposition of vector spaces by an endomorphism.

Covers matrix eigenvalues, eigenvectors, and their linear independence.

Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Explores the Jordan normal form and its applications in linear algebra, focusing on diagonalization and cyclic bases.

Explores the application of matrices and eigendecompositions in networks.

Explores the diagonalization of matrices and the conditions for exact diagonalization, with examples demonstrating the process.