Large deviations for trajectory observables of diffusion processes in dimension $d>1$ in the double limit of large time and small diffusion coefficient
Cecile Monthus

TL;DR
This paper investigates the large deviations of trajectory observables for diffusion processes in dimensions greater than one, analyzing the interplay of large time and small diffusion coefficient limits through quantum Hamiltonian analogies.
Contribution
It introduces a comprehensive framework comparing different regimes of large deviations in diffusion processes, connecting quantum spectral analysis with classical trajectory approximations.
Findings
Large deviations can be characterized via quantum Hamiltonian ground states.
Classical trajectories dominate in the small diffusion limit.
The double limit simplifies the analysis of trajectory observables.
Abstract
For diffusion processes in dimension , the statistics of trajectory observables over the time-window can be studied via the Feynman-Kac deformations of the Fokker-Planck generator, that can be interpreted as euclidean non-hermitian electromagnetic quantum Hamiltonians. It is then interesting to compare the four regimes corresponding to the time either finite or large and to the diffusion coefficient either finite or small. (1) For finite and finite , one needs to consider the full time-dependent quantum problem that involves the full spectrum of the Hamiltonian. (2) For large time and finite , one only needs to consider the ground-state properties of the quantum Hamiltonian to obtain the generating function of rescaled cumulants and to construct the corresponding canonical conditioned processes. (3) For finite and , one only…
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