English

Gelation in cluster coagulation processes

Probability 2025-08-08 v3 Mathematical Physics Analysis of PDEs math.MP

Abstract

We consider the problem of gelation in the cluster coagulation model introduced by Norris [\textit{Comm. Math. Phys.}, 209(2):407-435 (2000)], where pairs of clusters of types (x,y)(x,y) taking values in a measure space EE, merge to form a new particle of type zEz\in E according to a transition kernel K(x,y,dz)K(x,y, \mathrm{d} z). This model possesses enough generality to accommodate inhomogeneities in the evolution of clusters, including variations in their shape or spatial distribution. We derive general, sufficient criteria for stochastic gelation in this model. As particular cases, we extend results related to the classical Marcus--Lushnikov coagulation process, showing that reasonable `homogenous' coagulation processes with exponent γ>1\gamma>1 yield gelation; and also, coagulation processes with kernel Kˉ(m,n)  (mn)log(mn)3+ϵ\bar{K}(m,n)~\geq~(m \wedge n) \log{(m \wedge n)}^{3 +\epsilon} for ϵ>0\epsilon>0.

Cite

@article{arxiv.2308.10232,
  title  = {Gelation in cluster coagulation processes},
  author = {Luisa Andreis and Tejas Iyer and Elena Magnanini},
  journal= {arXiv preprint arXiv:2308.10232},
  year   = {2025}
}

Comments

Shortened to 19 pages. The conditions for gelation (Theorem 2.2 and Corollary 2.3) have been significantly simplified incorporating referee suggestions. This version coincides with the one accepted for publication in Ann. Inst. H. Poincar\'e Probab. Statist

R2 v1 2026-06-28T11:59:43.388Z