Lectures related to Conductor of X: Waldsparger Formula and Subconvexity Bound

Explains the independence of events and sets in an algebraic context.

Covers the properties and applications of quaternion algebra, including norm calculations and distribution in different spaces.

Covers the concept of matrix to the density operator in quantum physics.

Covers the composition and product of matrices, including matrix multiplication.

Explores Lie groups, scalar fields, and vector spaces transformations.

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

Explores the properties of invertible matrices, including unique solutions and linear independence.

Explores eigenvalues and minimal polynomial, emphasizing their importance in linear algebra.

Covers direct methods for solving linear systems in numerical analysis.