Lecture

Vector Spaces: Axioms and Examples

Description

This lecture introduces vector spaces as non-empty sets with defined addition and scalar multiplication operations satisfying ten axioms. Examples in R^2 and P^2 illustrate the concepts of subspaces and linear independence. The lecture also covers subspaces generated by vectors and the properties of null spaces and images of linear transformations.

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