Geometric Examples

Related lectures (27)

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

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Covers the goals and motivations of representation theory, focusing on associative algebras and homomorphisms.

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers various examples and general concepts related to linear applications in algebra.

Covers the structure of finite dimensional algebras and the characterization of semisimple algebras.

Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.

Explains orthogonal projection in linear algebra, focusing on transforming non-orthogonal bases into orthogonal ones.

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Covers the precise description of the relative positioning of objects in space.