Non-backtracking lace expansion

  • Robert Fitzner (Eindhoven University of Technology)
A3 01 (Sophus-Lie room)


Many spatial interacting models are in high-dimension expected to behave similar to a corresponding simple model without interactions, such as simple random walk and branching random walk. In this talk I introduce the concept of mean-field behavior and discuss a method to prove it. We apply these ideas to key models in statistical physics, namely, self-avoiding walk, percolation, lattice trees and lattice animals.

We focus on a novel method call Non-backtracking lace expansion, which can be used to study nearest-neighbor models in dimensions above, but close to, the upper critical dimension above which mean-field behavior is expected.

Katja Heid

MPI for Mathematics in the Sciences Contact via Mail

Upcoming Events of This Seminar

  • Mar 12, 2024 tba with Theresa Simon
  • Mar 26, 2024 tba with Phan Thành Nam
  • Mar 26, 2024 tba with Dominik Schmid
  • May 7, 2024 tba with Manuel Gnann
  • May 14, 2024 tba with Barbara Verfürth
  • May 14, 2024 tba with Lisa Hartung
  • Jun 25, 2024 tba with Paul Dario
  • Jul 16, 2024 tba with Michael Loss