Dimension Dependence of Critical Phenomena in Percolation - Part 6
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
AI Product Expert Certification - Master Generative AI Skills
Master AI & Data—50% Off Udacity (Code CC50)
Overview
Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
This lecture, part 6 of a series by Thomas Hutchcroft from the California Institute of Technology, explores the dimension dependence of critical phenomena in percolation theory. Delve into the complex geometry of Bernoulli bond percolation, where edges in a graph are randomly deleted or retained with a specific probability parameter. Learn how percolation exhibits phase transitions in lattices of dimension d>1, with infinite clusters emerging at critical probability pc(d). Discover the rich, fractal-like geometry of critical percolation that depends heavily on dimension but remains largely independent of lattice choice. Examine the qualitative distinctions between low-dimensional cases (d6), and the critical case (d=6), with special attention to the poorly understood dimensions d=3,4,5,6. Gain insights into recent advances in long-range and hierarchical models that have enabled rigorous understanding of intermediate-dimensional critical phenomena in percolation theory.
Syllabus
Thomas Hutchcroft - 6/6 Dimension Dependence of Critical Phenomena in Percolation
Taught by
Institut des Hautes Etudes Scientifiques (IHES)