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Transactions of the American Mathematical Society

Published by the American Mathematical Society since 1900, Transactions of the American Mathematical Society is devoted to longer research articles in all areas of pure and applied mathematics.

ISSN 1088-6850 (online) ISSN 0002-9947 (print)

The 2020 MCQ for Transactions of the American Mathematical Society is 1.48.

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Abelian oil and water dynamics does not have an absorbing-state phase transition
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by Elisabetta Candellero, Alexandre Stauffer and Lorenzo Taggi PDF
Trans. Amer. Math. Soc. 374 (2021), 2733-2752 Request permission

Abstract:

The oil and water model is an interacting particle system with two types of particles and a dynamics that conserves the number of particles, which belongs to the so-called class of Abelian networks. Widely studied processes in this class are sandpiles models and activated random walks, which are known (at least for some choice of the underlying graph) to undergo an absorbing-state phase transition. This phase transition characterizes the existence of two regimes, depending on the particle density: a regime of fixation at low densities, where the dynamics converges towards an absorbing state and each particle jumps only finitely many times, and a regime of activity at large densities, where particles jump infinitely often and activity is sustained indefinitely. In this work we show that the oil and water model is substantially different than sandpiles models and activated random walks, in the sense that it does not undergo an absorbing-state phase transition and is in the regime of fixation at all densities. Our result works in great generality: for any graph that is vertex transitive and for a large class of initial configurations.
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Additional Information
  • Elisabetta Candellero
  • Affiliation: Dip. di Matematica e Fisica, Università Roma Tre, Largo S. Murialdo 1, 00146, Rome, Italy
  • MR Author ID: 968125
  • ORCID: 0000-0003-2424-8695
  • Email: ecandellero@mat.uniroma3.it
  • Alexandre Stauffer
  • Affiliation: Dip. di Matematica e Fisica, Università Roma Tre, Largo S. Murialdo 1, 00146, Rome, Italy; and Department of Mathematical Sciences, University of Bath, BA2 7AY Bath, United Kingdom
  • MR Author ID: 781199
  • Email: a.stauffer@bath.ac.uk
  • Lorenzo Taggi
  • Affiliation: Weierstrass Institute for applied Analysis and Stochastics, Mohrenstrasse 39, 10117 Berlin, Germany
  • Address at time of publication: Dipartimento di Matematica, Sapienza Università di Roma, Piazzale Aldo Moro 5, 00186, Roma, Italy
  • MR Author ID: 1106315
  • Email: lorenzo.taggi@uniroma1.it
  • Received by editor(s): January 30, 2019
  • Received by editor(s) in revised form: July 23, 2020
  • Published electronically: January 20, 2021
  • Additional Notes: The first author was partially supported by the project “Programma per Giovani Ricercatori Rita Levi Montalcini” awarded by the Italian Ministry of Education (MIUR). The first author also acknowledges partial support by “INdAM – GNAMPA Project 2019”.
    The second and third authors acknowledge support from EPSRC Early Career Fellowship EP/N004566/1.
    The third author acknowledges support from DFG German Research Foundation BE 5267/1.
  • © Copyright 2021 American Mathematical Society
  • Journal: Trans. Amer. Math. Soc. 374 (2021), 2733-2752
  • MSC (2020): Primary 60K35, 82C22, 82C26
  • DOI: https://doi.org/10.1090/tran/8276
  • MathSciNet review: 4223031