Lectures related to Linear Transformations: Matrices and Applications

Explains how the inverse of a matrix shares its eigenvalue and how the transposed version has the same set of eigenvalues.

Covers functions, including even and odd functions, periodicity, and function operations.

Covers the concept of limits and explores limits at infinity with illustrative examples.

Covers the resolution of mathematical equations and series convergence.

Covers the analysis of hyperstatic structures using virtual work principles and computational methods.