This lecture introduces the concept of vector spaces, covering the properties of addition, scalar multiplication, zero vector, and additive inverses. It explains the ten axioms that define vector spaces and provides examples to illustrate these concepts. The lecture also discusses linear combinations, linear independence, and the generation of vector spaces through linear applications.