Linear Applications: Matrices and Matrix Calculations

Related lectures (30)

Page 3 of 3

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.

Explores linear maps, matrix properties, and operations on matrices.

Covers the composition and product of matrices, including matrix multiplication.

Explores projections in R³, matrix properties, and trace concepts with practical examples.

Covers the definition and basic operations of matrices, including addition, scalar multiplication, and matrix multiplication.

Explores linear transformations, matrices, injective and surjective functions, and their applications.

Explores matrix operations, injectivity, surjectivity, column spaces, and linear applications in linear algebra.

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

Covers the diagonalization of linear transformations in R^3, exploring properties and examples.