Eigenvalues and Eigenvectors

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Description

This lecture covers the concept of eigenvalues and eigenvectors in linear algebra, explaining how to find them and their significance in various applications. It also discusses generalized eigenvectors and their role in matrix transformations.

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Official source

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (29)

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In course

DEMO: do adipisicing

Instructor

mollit aliquip adipisicing velit

Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Related lectures (29)

Characteristic Polynomials and Similar Matrices

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Eigenvalues and Eigenvectors in 3D

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Eigenvalues and Minimal Polynomial

Explores eigenvalues and minimal polynomial, emphasizing their importance in linear algebra.

Eigenvalues and Eigenvectors

Covers eigenvalues and eigenvectors, explaining their importance in linear algebra.

Matrix Eigenvalues and Eigenvectors

Covers matrix eigenvalues, eigenvectors, and their linear independence.