Lectures related to Matrix Representation of Linear Applications: Properties Part 2

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores symmetries in linear algebra, focusing on matrices and their properties.

Explores geometric transformations in R2 and R3, including linear transformations, projections, matrices, and trace properties.

Covers the concepts of image and kernel in linear algebra, focusing on uniqueness and orthogonal projections.

Explains orthogonal projection and vector decomposition with examples in particle trajectory analysis.