activity
20202024
most citedLower Gaussian heat kernel bounds for the Random Conductance Model in a degenerate ergodic environment

8 citations · 16 across the 6 of their papers we have counts for

collaborators

7 papers

math.PR2024

Proof of the Diaconis--Freedman Conjecture on partially-exchangeable processes

Noah Halberstam, Tom Hutchcroft

We prove a conjecture of Diaconis and Freedman (Ann. Probab. 1980) characterising the extreme points of the set of partially-exchangeable processes on a countable set. More concret…

math.PR2023★ 3 cited

Uniqueness of the infinite tree in low-dimensional random forests

Noah Halberstam, Tom Hutchcroft

The arboreal gas is the random (unrooted) spanning forest of a graph in which each forest is sampled with probability proportional to for some , whic…

math.PR2022

Logarithmic corrections to the Alexander-Orbach conjecture for the four-dimensional uniform spanning tree

Noah Halberstam, Tom Hutchcroft

We compute the precise logarithmic corrections to Alexander-Orbach behaviour for various quantities describing the geometric and spectral properties of the four-dimensional uniform…

math.PR2022

Most transient random walks have infinitely many cut times

Noah Halberstam, Tom Hutchcroft

We prove that if is a random walk on a transient graph such that the Green's function decays at least polynomially along the random walk, then h…

cond-mat.stat-mech2021★ 5 cited

What are the limits of universality?

Noah Halberstam, Tom Hutchcroft

It is a central prediction of renormalisation group theory that the critical behaviours of many statistical mechanics models on Euclidean lattices depend only on the dimension and…

math.PR2020★ 8 cited

Lower Gaussian heat kernel bounds for the Random Conductance Model in a degenerate ergodic environment

Sebastian Andres, Noah Halberstam

We study the random conductance model on with ergodic, unbounded conductances. We prove a Gaussian lower bound on the heat kernel given a polynomial moment condition…

math.PR2020

Collisions of Random Walks in Dynamic Random Environments

Noah Halberstam, Tom Hutchcroft

We study dynamic random conductance models on in which the environment evolves as a reversible Markov process that is stationary under space-time shifts. We prove un…