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Related lectures (24)

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

Introduces linear applications in 3 dimensions, defining them as functions that preserve vector addition and scalar multiplication.

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

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

Explores canonical basis, linear mapping, and eigenvalues in linear algebra.

Explores linear combinations of vectors and matrices in Rn, demonstrating geometric interpretations and matrix operations.

Offers a quick review of key linear algebra concepts essential for further topics.

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

Explores linear combinations, basis determination, and vector space dimensionality through practical examples and exercises.

Explores linear algebra concepts through examples and theorems, focusing on matrices and their operations.