Lectures related to Signals & Systems I: Preliminary Concepts and Linear Systems

Explains how to find free variables in matrix equations and analyze characteristic polynomials.

Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.

Covers the concept of inverse matrices and systems resolution, including the conditions for matrix invertibility and the Gauss-Jordan algorithm.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.