Many greedy cleaners in a Poisson environment
Sergey Foss, Thomas Mountford

TL;DR
This paper models multiple greedy cleaners operating on a Poisson-distributed dust environment on a star-like space, analyzing their asymptotic escape behavior as the number of cleaners grows large.
Contribution
It introduces a novel greedy cleaning model on a star-like space with Poisson dust, analyzing the asymptotic escape behavior based on the parameter .
Findings
All cleaners eventually escape to infinity.
The escape dynamics depend on the value of .
As N increases, the behavior of the system becomes predictable.
Abstract
We introduce a new ``greedy cleaning'' model where a star-like state space (containing N half-lines connected by the origin) is covered by a homogeneous Poisson process of ``dust particles'', and N^{\alpha} cleaners/workers proceed with cleaning in a ``greedy'' manner: each worker chooses the closest particle next. Assuming \alpha \in (0,1), we analyse the asymptotic behaviour of the workers, as N\to\infty. We show that eventually all of them escape to infinity and that the way how do they do it depends on the value of \alpha.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Markov Chains and Monte Carlo Methods
