Lectures related to Vector Subspaces

Covers linear independence, bases, and coordinate systems with examples and theorems.

Covers the structure of vector spaces in R2 and R3, focusing on scalar multiplication and addition.

Covers the basics of vector spaces, including addition, scalar multiplication, and zero vectors, with examples and applications.

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

Covers elementary matrix operations and vector spaces, including properties and conditions for invertibility.