English

Long-Time Behaviors of Branching-Diffusion Processes via Spectral Analysis

Probability 2026-04-21 v1

Abstract

We study long-time behaviors for branching-diffusion process corresponding to the drifted Schr\"odinger operator L=12Δ+V,K\mathcal{L} = \frac{1}{2} \Delta + \langle \nabla V,\nabla \rangle - K, where KK represents the reduction rate of a population dynamics and V\nabla V is a given drift term. In particular, we establish exponential convergence rates for the total mass of this process and characterize its quasi-stationary distribution. The proof is based on a novel transformation in spectral analysis, and heat kernel estimates for Schr\"odinger operators with unbounded potentials. The result is new even in the one-dimensional setting, which especially improves the recent work \cite{CMS}.

Keywords

Cite

@article{arxiv.2604.16795,
  title  = {Long-Time Behaviors of Branching-Diffusion Processes via Spectral Analysis},
  author = {Kang Dai and Jian Wang},
  journal= {arXiv preprint arXiv:2604.16795},
  year   = {2026}
}

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13 pages