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Stochastic flows and Poisson representations for the bloc...
[Submitted on 3 Mar 2025 (v1), last revised 3 Jul 2026 (this ver · 2025-03-03 · via math.PR updates on arXiv.org

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Abstract:We develop a new methodology for the study of the $\Lambda$-coalescent with dust, based on the construction of a stochastic flow of inverses, introduced by Bertoin and Le Gall [Ann. inst. Henri Poincare (B) Probab. Stat. 41(3), 307-333 (2003)], in which the coalescent is naturally embedded as a nested interval-partition. This framework yields Poisson representations for the ordered block masses $(W_k(t))_{k \geq 1}$ as stochastic integrals with respect to the Poisson random measure governing the flow, enabling the use of stochastic calculus in a setting where it was not previously available. We believe this methodology to be of independent interest and applicable beyond the specific results of this paper. As a first application, we derive precise logarithmic asymptotics for the moments of $W_k(t)$ as $t \to \infty$, which reveal an interesting cutoff phenomenon related to the presence of dust. We then establish a law of large numbers and a large deviation principle for $\log(1-W_1(t))/t$ and a one-sided weak large deviation principle for $\log(W_k(t))/t$, for $k \geq 2$, with explicit rate functions.

Submission history

From: Grégoire Véchambre [view email]
[v1] Mon, 3 Mar 2025 09:03:15 UTC (50 KB)
[v2] Fri, 3 Jul 2026 08:32:04 UTC (98 KB)