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Related lectures (25)

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Covers the basics of linear mapping and coordinate systems.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

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

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

Explores matrix operations, linear systems, solutions, and the span of vectors in linear algebra.

Explains linear independence, basis, and matrix rank with examples and exercises.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Covers matrices, linear applications, vector spaces, and bijective functions.

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