Matrix Representations: Linear Maps

Related lectures (28)

Page 1 of 3

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

Explores geometric transformations in R2 and R3, including linear transformations, projections, matrices, and trace properties.

Covers the basics of linear mapping and coordinate systems.

Covers the reduction of a linear application and finding corresponding reduced forms and bases.

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

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

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

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

Covers the basics of linear algebra, including linear maps, bases, and matrix operations.

Covers the determination of matrices associated with linear transformations and explores the kernel and image concepts.