An Invariance Principle for a Random Walk Among Moving Traps via Thermodynamic Formalism
We consider a random walk among a Poisson cloud of moving traps on $$\mathbb {Z}^d$$ , where the walk is killed at a rate proportional to the number of traps occupying the same position. In dimension $$d=1$$ , we have previously shown that under the annealed law of the random walk conditioned on survival up to time t, the walk is sub-diffusive. Here we show that in $$d\geqslant 6$$ and under diffusive scaling, this annealed law satisfies an invariance principle with a positive diffusion constant if the killing rate is small. Our proof is based on the theory of thermodynamic formalism, where we extend some classic results for Markov shifts with a finite alphabet and a potential of summable variation to the case of an uncountable non-compact alphabet.
Authors
- Rongfeng Sun (ORCID: https://orcid.org/0000-0001-7820-2209)
- Alexander Drewitz (ORCID: https://orcid.org/0000-0002-5546-3614)
- Siva Athreya (ORCID: https://orcid.org/0000-0002-0501-1433)
Institutions
- National University of Singapore (SG)
- University of Cologne (DE)
- New York University Shanghai (CN)
- International Centre for Theoretical Sciences (IN)
- Indian Statistical Institute (IN)
Publication Details
- Journal
- Communications in Mathematical Physics
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1007/s00220-025-05460-w
- Primary Topic
- Stochastic processes and statistical mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tata Institute of Fundamental Research
- Department of Atomic Energy, Government of India
- Deutsche Forschungsgemeinschaft
- National Natural Science Foundation of China