Linear Applications: Definitions and Examples

Related lectures (29)

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Explores linear applications, matrices, transformations, rotations, symmetries, and properties of applications.

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

Explores orthogonal matrices, eigenvalues, and orientation-preserving transformations in linear algebra.

Explains the decomposition LL² with an example and detailed calculations.

Explores linear recurrences, applications between sets, and the significance of functions and operators in mathematics and physics.

Covers the concept of lines spaces and equivalent matrices in linear algebra.

Covers bases, linear dependencies, injective and surjective transformations, and matrix representation in linear algebra.

Explores the vectorial structure of linear applications, including addition, scalar multiplication, and matrix representation.

Explores linear transformations in 3D space using matrices and their applications.