Lectures related to Linear Algebra: Canonical Basis and Eigenvalues

Covers the decomposition of a matrix into its eigenvalues and eigenvectors, the orthogonality of eigenvectors, and the normalization of vectors.

Covers the diagonalization of matrices using eigenvectors and eigenvalues.

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.

Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.

Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.

Covers vector spaces, bases, and decomposition of vectors in R³.

Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.