Lectures related to Introduction to Triangular Identities

Explores the properties and applications of orthogonal matrices in linear algebra, focusing on orthogonality and projections.

Emphasizes the importance of using orthogonal bases in linear algebra for representing linear transformations.

Covers the definition and examples of vector spaces, including subspaces and linear transformations.

Introduces linear algebra basics, including linear independence, injectivity, surjectivity, and bases in vector spaces.

Covers vector spaces, bases, and dimensions, exploring key concepts for solving systems of equations.

Covers linear dependence, independence, and applications in vector spaces.

Covers the concepts of kernel and image of a linear transformation and their relationship with the rank of the matrix.