Lectures related to Lattice dynamics

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

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

Covers the concept of the matrix of cofactors and a formula to calculate the inverse of a matrix.

Covers the definitions and properties of matrices, including matrix operations and determinants.

Covers the concept of asymptotic states and S-matrix in quantum field theory, focusing on the evolution of wave packets and the scattering states.

Covers information measures like entropy, joint entropy, and mutual information in information theory and data processing.

Covers calculations and algorithms for determining the determinant of a matrix, including permuting rows and multiplying by coefficients.