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Main Author: Nahum, G. S.
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.12524
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author Nahum, G. S.
author_facet Nahum, G. S.
contents We investigate the emergence of non-linear diffusivity in kinetically constrained, one-dimensional symmetric exclusion processes satisfying the gradient condition. Recent developments introduced new gradient dynamics based on the Bernstein polynomial basis, enabling richer diffusive behaviours but requiring adaptations of existing techniques. In this work, we exploit these models to generalise the Porous Media Model to non-integer parameters and establish simple conditions on general kinetic constraints under which the empirical measure of a perturbed version of the process converges. This provides a robust framework for modelling non-linear diffusion from kinetically constrained systems.
format Preprint
id arxiv_https___arxiv_org_abs_2504_12524
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Continuously Parametrised Porous Media Model and Scaling Limits of Kinetically Constrained Models
Nahum, G. S.
Probability
60K35
We investigate the emergence of non-linear diffusivity in kinetically constrained, one-dimensional symmetric exclusion processes satisfying the gradient condition. Recent developments introduced new gradient dynamics based on the Bernstein polynomial basis, enabling richer diffusive behaviours but requiring adaptations of existing techniques. In this work, we exploit these models to generalise the Porous Media Model to non-integer parameters and establish simple conditions on general kinetic constraints under which the empirical measure of a perturbed version of the process converges. This provides a robust framework for modelling non-linear diffusion from kinetically constrained systems.
title Continuously Parametrised Porous Media Model and Scaling Limits of Kinetically Constrained Models
topic Probability
60K35
url https://arxiv.org/abs/2504.12524