Linear Algebra Basics

Related lectures (27)

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Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Covers linear transformations between polynomial spaces and explores examples of linear independence and bases.

Covers vector spaces, subspaces, kernel, image, linear independence, and bases in linear algebra.

Covers the method to calculate the images of vectors in a given base.

Explores polynomial operations, properties, and subspaces in vector spaces.

Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.

Explores vector subspaces in R4, symmetric matrices, basis vectors, and canonical forms.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Covers vector spaces, operations, and linear independence with examples from polynomials and functions.

Introduces linear combinations in vector spaces, operations, and polynomials of degree 2.