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Main Authors: Dai, Kang, Wang, Jian
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.16795
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author Dai, Kang
Wang, Jian
author_facet Dai, Kang
Wang, Jian
contents We study long-time behaviors for branching-diffusion process corresponding to the drifted Schrödinger operator $\mathcal{L} = \frac{1}{2} Δ+ \langle \nabla V,\nabla \rangle - K$, where $K$ represents the reduction rate of a population dynamics and $\nabla V$ 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 Schrödinger operators with unbounded potentials. The result is new even in the one-dimensional setting, which especially improves the recent work \cite{CMS}.
format Preprint
id arxiv_https___arxiv_org_abs_2604_16795
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Long-Time Behaviors of Branching-Diffusion Processes via Spectral Analysis
Dai, Kang
Wang, Jian
Probability
60J85, 60J60, 47D08, 35K08
We study long-time behaviors for branching-diffusion process corresponding to the drifted Schrödinger operator $\mathcal{L} = \frac{1}{2} Δ+ \langle \nabla V,\nabla \rangle - K$, where $K$ represents the reduction rate of a population dynamics and $\nabla V$ 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 Schrödinger operators with unbounded potentials. The result is new even in the one-dimensional setting, which especially improves the recent work \cite{CMS}.
title Long-Time Behaviors of Branching-Diffusion Processes via Spectral Analysis
topic Probability
60J85, 60J60, 47D08, 35K08
url https://arxiv.org/abs/2604.16795