Lectures related to Kähler Differentials

Covers linear dependence, independence, and applications in vector spaces.

Explores the concept of linear independence in vector spaces through definitions and illustrative examples.

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

Explores meromorphic functions, poles, residues, orders, divisors, and the Riemann-Roch theorem.

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

Explores linear transformations, matrices, surjective, injective, and bijective properties, symmetric transformations, and matrix equivalence.