Minimal polynomial (linear algebra)

Related lectures (32)

Page 3 of 4

Explores the properties and equivalence of diagonalizable groups, including regularity and conjugacy.

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

Covers eigenvalues and eigenvectors of a matrix, including the characteristic equation and polynomial.

Covers the properties and criteria of linear dependence and independence in a vector space.

Explains the characteristic polynomial of a matrix and its importance in linear algebra.

Covers the concept of eigenvalues and eigenvectors in linear algebra, focusing on the properties of endomorphisms.

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Explores eigenvalues, diagonalization, and matrix similarity, showcasing their importance and applications.

Covers linear differential equations of order n with constant coefficients and how to find their general solutions.