Vector Spaces: Definition, R2

This lecture introduces the concept of vector spaces, defined as a non-empty set with binary addition and scalar multiplication. The lecture covers the axioms that define an R-vector space, including commutativity, associativity, distributivity, and the existence of neutral and inverse elements. It also explores geometric examples in R2, illustrating how vector spaces are applied in a geometric context.