Dimension-decaying diffusion processes as the scaling limit of condensing zero-range processes
Johel Beltr\'an, Kyuhyeon Choi, Claudio Landim

TL;DR
This paper demonstrates that condensing zero-range processes, when scaled appropriately, converge to a diffusion process that progressively reduces dimension and eventually becomes trapped at a vertex, revealing a novel boundary absorption mechanism.
Contribution
It introduces a new dimension-decaying diffusion process as the limit of condensing zero-range processes and develops a method to extend the martingale problem domain.
Findings
The limiting process reduces dimension at boundary faces.
The process is absorbed at vertices of the simplex.
The method for extending the martingale problem domain is broadly applicable.
Abstract
In this article, we prove that, on the diffusive time scale, condensing zero-range processes converge to a dimension-decaying diffusion process on the simplex \[ \Sigma = \{(x_1,\dots,x_S) : x_i \ge 0,\; \sum_{i\in S} x_i = 1\}, \] where is a finite set. This limiting diffusion has the distinctive feature of being absorbed at the boundary of the simplex. More precisely, once the process reaches a face \[ \Sigma_A = \{(x_1,\dots,x_S) : x_i \ge 0,\; \sum_{i\in A} x_i = 1\}, \qquad A \subset S, \] it remains confined to this set and evolves in the corresponding lower-dimensional simplex according to a new diffusion whose parameters depend on the subset . This mechanism repeats itself, leading to successive reductions of the dimension, until one of the vertices of the simplex is reached in finite time. At that point, the process becomes permanently trapped. The proof relies on a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Diffusion and Search Dynamics · Mathematical Biology Tumor Growth
