Linear Transformations: Matrix Representation

Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.

Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.

Introduces linear algebra concepts, focusing on solving systems of linear equations and their representations.

Covers fundamental linear algebra concepts like vector spaces and eigenvalues.

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