Lectures related to Finite Fields and Vector Spaces

Explains bases and dimension in vector spaces, covering generative and free families, isomorphism, and key theorems.

Introduces vector spaces, subspaces, linear maps, and evaluation maps, with examples and exercises for better comprehension.

Covers the basics of vector spaces, including operational definitions, properties, examples in RN, inner products, norms, and distances.

Explores vector spaces, focusing on properties, examples, and subspaces within a practical exercise on polynomials.

Covers linear applications between vector spaces, exploring their properties and uniqueness based on bases.

Covers isomorphism, dimension, bases, and rank in linear transformations between vector spaces.

Covers the definition and examples of vector spaces, including subspaces and linear transformations.