Matrix Operations and Vector Spaces

Related lectures (24)

Page 2 of 3

Covers the concept of interesting subspaces related to matrices and the change of basis matrix.

Introduces the concept of vector spaces and covers properties of vectorial subspaces.

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Covers the definition and properties of vector spaces, along with examples like Euclidean spaces and matrix spaces.

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

Introduces vector spaces with binary addition and scalar multiplication, exploring geometric examples in R2.

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

Explores the definition and properties of vector subspaces in linear algebra.

Covers matrices, linear applications, vector spaces, and bijective functions.

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.