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August 2017 Phase transition in a sequential assignment problem on graphs
Antal A. Járai
Ann. Appl. Probab. 27(4): 2098-2129 (August 2017). DOI: 10.1214/16-AAP1250

Abstract

We study the following sequential assignment problem on a finite graph $G=(V,E)$. Each edge $e\in E$ starts with an integer value $n_{e}\ge0$, and we write $n=\sum_{e\in E}n_{e}$. At time $t$, $1\le t\le n$, a uniformly random vertex $v\in V$ is generated, and one of the edges $f$ incident with $v$ must be selected. The value of $f$ is then decreased by $1$. There is a unit final reward if the configuration $(0,\ldots,0)$ is reached. Our main result is that there is a phase transition: as $n\to\infty$, the expected reward under the optimal policy approaches a constant $c_{G}>0$ when $(n_{e}/n:e\in E)$ converges to a point in the interior of a certain convex set $\mathcal{R}_{G}$, and goes to $0$ exponentially when $(n_{e}/n:e\in E)$ is bounded away from $\mathcal{R}_{G}$. We also obtain estimates in the near-critical region, that is when $(n_{e}/n:e\in E)$ lies close to $\partial\mathcal{R}_{G}$. We supply quantitative error bounds in our arguments.

Citation

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Antal A. Járai. "Phase transition in a sequential assignment problem on graphs." Ann. Appl. Probab. 27 (4) 2098 - 2129, August 2017. https://doi.org/10.1214/16-AAP1250

Information

Received: 1 July 2015; Revised: 1 September 2016; Published: August 2017
First available in Project Euclid: 30 August 2017

zbMATH: 06803458
MathSciNet: MR3693521
Digital Object Identifier: 10.1214/16-AAP1250

Subjects:
Primary: 60K99
Secondary: 90C40 , 91A60

Keywords: critical phenomenon , discrete stochastic optimal control , Markov decision process , phase transition , stochastic dynamic programming , stochastic sequential assignment

Rights: Copyright © 2017 Institute of Mathematical Statistics

Vol.27 • No. 4 • August 2017
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