Local Weak Convergence for Random Constraint Satisfaction Problems

Explore the concept of local weak convergence in random constraint satisfaction problems through this 46-minute lecture presented by Allan Sly from Princeton University at IPAM's Statistical Mechanics Beyond 2D Workshop. Delve into advanced mathematical concepts and their applications in statistical mechanics as Sly discusses the intricacies of constraint satisfaction problems and their convergence properties. Gain insights into cutting-edge research in this field and its implications for understanding complex systems beyond two dimensions. Recorded on May 6, 2024, this talk is part of the Institute for Pure & Applied Mathematics (IPAM) workshop series at UCLA, offering a deep dive into advanced topics in statistical mechanics and related areas.

Allan Sly - Local Weak Convergence for Random Constraint Satisfaction Problems - IPAM at UCLA