Lectures related to Geometry: Vector Properties and Rules

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Covers linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.