
TL;DR
This paper studies a special type of random walk with resets to the starting point, analyzing its statistical properties, equilibrium states, and extreme value statistics, with potential applications in physical systems.
Contribution
It introduces and analyzes a specific random walk with restarts, deriving formulas for transition probabilities, equilibrium states, and extreme statistics, and discusses possible generalizations.
Findings
Derived formulas for transition probabilities and equilibrium states.
Analyzed first-passage times and extreme value statistics.
Discussed potential generalizations for physical systems.
Abstract
In this paper we consider a particular version of the random walk with restarts: random reset events which bring suddenly the system to the starting value. We analyze its relevant statistical properties like the transition probability and show how an equilibrium state appears. Formulas for the first-passage time, high-water marks and other extreme statistics are also derived: we consider counting problems associated naturally to the system. Finally we indicate feasible generalizations useful for interpreting different physical effects.
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.
