Lectures related to Invertible Matrices: Properties and Gauss Algorithm

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.

Covers the decomposition of matrices into triangular blocks and spectral decomposition.

Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.

Covers linear algebraic groups, including special sets and matrix examples.

Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.