activity
20232026
most citedGaussian deconvolution and the lace expansion

7 citations · 15 across the 13 of their papers we have counts for

collaborators

14 papers

math.PR2026

Percolation on Bidirected Graphs

Yucheng Liu, Leonardo T. Rolla, Yuliang Shi

We study bidirected percolation on an undirected graph : each edge is replaced by two oppositely directed edges, each of which is open independently with probability . Two ve…

math.PR2026

Crossover from subcritical to critical decay: random walk, self-avoiding walk, percolation

Yucheng Liu, Gordon Slade

The study of the Ornstein--Zernike decay of subcritical two-point functions in equilibrium statistical mechanics has a history going back over a century. Despite this, the crossove…

math.PR2025

Decay of connection probability in high-dimensional continuum percolation

Matthew Dickson, Yucheng Liu

We study a percolation model on called the random connection model. For large, we use the lace expansion to prove that the critical two-point connection probabili…

math.PR2025

High-dimensional long-range statistical mechanical models have random walk correlation functions

Yucheng Liu

We consider long-range percolation, Ising model, and self-avoiding walk on , with couplings decaying like where , above the upper critical…

math.PR2025★ 5 cited

Near-critical and finite-size scaling for high-dimensional lattice trees and animals

Yucheng Liu, Gordon Slade

We consider spread-out models of lattice trees and lattice animals on , for above the upper critical dimension . We define a correlation length an…

math.DG2025

Constructing stable Hilbert bundles via Diophantine approximation

Yucheng Liu, Biao Ma

On any complex smooth projective curve with positive genus, we construct Hilbert bundles that admit Hermitian--Einstein metrics. Our main constructive step is by investigating the…

cond-mat.stat-mech2024★ 1 cited

Universal finite-size scaling in high-dimensional critical phenomena

Yucheng Liu, Jiwoon Park, Gordon Slade

We present a new unified theory of critical finite-size scaling for lattice statistical mechanical models with periodic boundary conditions above the upper critical dimension. Our…

math.PR2024

Critical scaling profile for trees and connected subgraphs on the complete graph

Yucheng Liu, Gordon Slade

We analyse generating functions for trees and for connected subgraphs on the complete graph, and identify a single scaling profile which applies for both generating functions in a…

math.PR2024

Gaussian deconvolution on with application to self-repellent Brownian motion

Yucheng Liu

We consider the convolution equation on , , where is the Dirac delta function and are given functions. We provide conditions on …

math-ph2024

The torus plateau for the high-dimensional Ising model

Yucheng Liu, Romain Panis, Gordon Slade

We consider the Ising model on a -dimensional discrete torus of volume , in dimensions and for large , in the vicinity of the infinite-volume critical point .…

math.AG2024

Continuum envelopes on Fargues-Fontaine curves and elliptic curves

Heng Du, Qingyuan Jiang, Yucheng Liu

In this paper, we apply the theory of Bridgeland stability conditions, which was motivated by ideas from string theory, to study the derived category of coherent sheaves on Fargues…

math.PR2023★ 2 cited

A general approach to massive upper bound for two-point function with application to self-avoiding walk torus plateau

Yucheng Liu

We prove a sufficient condition for the two-point function of a statistical mechanical model on , , to be bounded uniformly near a critical point by $|x|^{-(d-…

math.PR2023

Gaussian deconvolution and the lace expansion for spread-out models

Yucheng Liu, Gordon Slade

We present a new proof of decay of critical two-point functions for spread-out statistical mechanical models on above the upper critical dimension, ba…

math.PR2023★ 7 cited

Gaussian deconvolution and the lace expansion

Yucheng Liu, Gordon Slade

We give conditions on a real-valued function on , for , which ensure that the solution to the convolution equation has Gaussian deca…