Vector Spaces: Definitions and Examples

This lecture introduces the concept of vector spaces, defining them as non-empty sets with defined addition and scalar multiplication operations. It explores examples of vector spaces, including R^n and matrices. The lecture also covers subspaces, kernels, and images of linear transformations.