Drift-diffusion on a Cayley tree with stochastic resetting: the localization-delocalization transition
Paul C Bressloff

TL;DR
This paper develops a theory of drift-diffusion with stochastic resetting on Cayley trees, revealing phase transitions in optimal resetting rates linked to the localization-delocalization transition, with implications for transport and search processes.
Contribution
It introduces a framework connecting phase transitions in resetting rates to the classical LD transition on Cayley trees, extending understanding of stochastic processes with resetting.
Findings
Existence of an optimal resetting rate maximizing steady-state concentration.
Identification of a phase transition in resetting rates at a critical velocity.
Recovery of previous results for the semi-infinite line when z=2.
Abstract
In this paper we develop the theory of drift-diffusion on a semi-infinite Cayley tree with stochastic resetting. In the case of a homogeneous tree with a closed terminal node and no resetting, it is known that the system undergoes a classical localization-delocalization (LD) transition at a critical mean velocity where is the diffusivity, is the branch length and is the coordination number of the tree. If then the steady state concentration at the terminal node is non-zero (drift-dominated localized state), whereas it is zero when (diffusion-dominated delocalized state). This is equivalent to the transition between recurrent and transient transport on the tree, with the mean first passage time (MFPT) to be absorbed by an open terminal node switching from a finite value to infinity. Here we show how the LD transition provides a basic…
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