Dimension Dependence of Critical Phenomena in Percolation - 3/6
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
Learn Backend Development Part-Time, Online
Master Windows Internals - Kernel Programming, Debugging & Architecture
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
This lecture explores the dimension dependence of critical phenomena in Bernoulli bond percolation, focusing on how connected components behave when edges in a graph are randomly deleted or retained. Learn about the phase transition that occurs in lattices of dimension d>1, where an infinite cluster emerges at a 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. Presented by Thomas Hutchcroft from the California Institute of Technology at the Institut des Hautes Etudes Scientifiques (IHES), this 1 hour 45 minute talk is part of a series available on CARMIN.tv.
Syllabus
Thomas Hutchcroft - 3/6 Dimension Dependence of Critical Phenomena in Percolation
Taught by
Institut des Hautes Etudes Scientifiques (IHES)