Matching Large Deviation Bounds of the Zero-Range Process in the whole space
Benjamin Fehrman, Benjamin Gess, Daniel Heydecker

TL;DR
This paper establishes matching large deviation bounds for the zero-range process on the entire space, extending previous results and providing a comprehensive probabilistic and analytical framework.
Contribution
It provides the first complete large deviation bounds for the zero-range process in all dimensions, removing previous restrictions and extending key estimates and equations.
Findings
Matching upper and lower large deviation bounds are obtained.
Superexponential concentration on paths with finite entropy dissipation is proved.
The theory of the parabolic-hyperbolic skeleton equation is extended to the whole space.
Abstract
We consider the large deviations of the hydrodynamic rescaling of the zero-range process on in any dimension . Under mild and canonical hypotheses on the local jump rate, we obtain matching upper and lower bounds, thus resolving the problem opened by \cite{KL99}. On the probabilistic side, we extend the superexponential estimate to any dimension, and prove the superexponential concentration on paths with finite entropy dissipation. In addition, we extend the theory of the parabolic-hyperbolic skeleton equation to the whole space, and remove global convexity/concavity assumptions on the nonlinearity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications
