Critical Exponents: Theory and Applications

Related lectures (31)

Page 3 of 4

Explores the Ising model's critical behavior, universal classes, equilibrium properties, and numerical simulations.

Covers the concept of diagonalization of matrices through the study of eigenvectors and eigenvalues.

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Covers universality and rotational invariance in isoradial graphs and their implications in statistical mechanics.

Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.

Explores eigenvalues and eigenvectors in matrix transformations, essential for understanding mathematical and real-world systems.

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

Covers the Bloch sphere representation and Larmor precession in spin 1/2 systems.