Lectures related to Diagonalization of Matrices and Least Squares

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

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Covers the basics of linear mapping and coordinate systems.

Explores the properties and examples of diagonalizable matrices, emphasizing the relationship between eigenvectors and eigenvalues.