Derivability and Linear Applications

Related lectures (29)

Page 3 of 3

Covers linear maps, matrices, and applications, including exercises on bases and invertibility.

Covers the concept of basis, linear transformations, matrices, inverses, determinants, and bijective transformations.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Explores matrices for linear applications, injective and surjective maps, and base transformations.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Covers the definition of linear applications in IR³ to R³ and explores examples and properties.

Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.