Lectures related to Phase Transitions: Connectivity in Random Graphs

Explores renormalization, scaling, critical points, exponents, and phase transitions in conformal field theory and quantum gravity.

Explores phase transitions through percolation in 2D networks.

Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.

Covers CFT, gravity, phase transitions, critical exponents, and RG formalism.

Explores the Renormalization Group in field theory, discussing scaling functions, critical exponents, and Gaussian fixed points.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Explores phase transitions in thermodynamics, emphasizing competition between phases controlled by temperature and the concept of universality.

Covers the basics of information theory, entropy, and fixed points in graph colorings and the Ising model.

Delves into detecting communities in random graphs, exploring fundamental laws, phase transitions, and spectral algorithms.

Explores spherical symmetry in statistical mechanics and its role in phase transitions.

Explores phase transitions in energy systems, including non-analytic behavior and the Ising model.

Introduces the Random-Subcube Model (RSM) for constraint satisfaction problems, exploring its structure, phase transitions, and variable freezing.

Covers the transition from the six-vertex model to FK-percolation, focusing on critical phenomena and phase transitions in two-dimensional systems.

Covers the Curie-Weiss model, discussing its theoretical foundations and practical applications in physical systems.

Explores phase transitions in two-dimensional systems and the critical behavior near transition points.

Explores the universal critical exponents of microscopic systems and the role of the renormalization group.

Explores chaos in quantum field theories, focusing on conformal symmetry, OPE coefficients, and random matrix universality.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores optimal detection in spinodal systems, discussing stability analysis and phase transitions.

Explores phase transitions, critical points, opalescence, and metastability in substances.