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Potential Analysis

, Volume 48, Issue 3, pp 301–323 | Cite as

The Semi-infinite Asymmetric Exclusion Process: Large Deviations via Matrix Products

  • Horacio González Duhart
  • Peter Mörters
  • Johannes Zimmer
Open Access
Article

Abstract

We study the totally asymmetric exclusion process on the positive integers with a single particle source at the origin. Liggett (Trans. Am. Math. Soc. 213, 237–261, 1975) has shown that the long term behaviour of this process has a phase transition: If the particle production rate at the source and the original density are below a critical value, the stationary measure is a product measure, otherwise the stationary measure is spatially correlated. Following the approach of Derrida et al. (J. Phys. A 26(7), 1493, 1993) it was shown by Grosskinsky (2004) that these correlations can be described by means of a matrix product representation. In this paper we derive a large deviation principle with explicit rate function for the particle density in a macroscopic box based on this representation. The novel and rigorous technique we develop for this problem combines spectral theoretical and combinatorial ideas and is potentially applicable to other models described by matrix products.

Keywords

Large deviation principle Matrix product ansatz Toeplitz operator Exclusion process Open boundary Phase transition Out of equilibrium 

Mathematics Subject Classification (2010)

Primary 60F10 Secondary 37K05, 60K35, 82C22 

Notes

Acknowledgements

HGD has been supported by CONACYT with CVU 302663, PM by EPSRC Grant EP/K016075/1. JZ has been partially supported by the Leverhulme Trust, Grant RPG-2013-261, EPSRC, Grant EP/K027743/1 and a Royal Society Wolfson Research Merit Award. We also thank Rob Jack for his useful comments.

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© The Author(s) 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.University of BathBathUK

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