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Two-species hardcore reversible cellular automaton: matrix ansatz for dynamics and nonequilibrium stationary state
ID
Medenjak, Marko
(
Author
),
ID
Popkov, Vladislav
(
Author
),
ID
Prosen, Tomaž
(
Author
),
ID
Ragoucy, Eric
(
Author
),
ID
Vanicat, Matthieu
(
Author
)
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https://scipost.org/10.21468/SciPostPhys.6.6.074
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Abstract
In this paper we study the statistical properties of a reversible cellular automaton in two out-of-equilibrium settings. In the first part we consider two instances of the initial value problem, corresponding to the inhomogeneous quench and the local quench. Our main result is an exact matrix product expression of the time evolution of the probability distribution, which we use to determine the time evolution of the density profiles analytically. In the second part we study the model on a finite lattice coupled with stochastic boundaries. Once again we derive an exact matrix product expression of the stationary distribution, as well as the particle current and density profiles in the stationary state. The exact expressions reveal the existence of different phases with either ballistic or diffusive transport depending on the boundary parameters.
Language:
English
Typology:
1.01 - Original Scientific Article
Organization:
FMF - Faculty of Mathematics and Physics
Publication status:
Published
Publication version:
Version of Record
Year:
2019
Number of pages:
37 str.
Numbering:
Vol. 6, art. no. 074
PID:
20.500.12556/RUL-111524
UDC:
536.9
ISSN on article:
2542-4653
DOI:
10.21468/SciPostPhys.6.6.074
COBISS.SI-ID:
3367268
Publication date in RUL:
02.10.2019
Views:
1406
Downloads:
512
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Record is a part of a journal
Title:
SciPost physics
Publisher:
SciPost Foundation
ISSN:
2542-4653
COBISS.SI-ID:
526154521
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
02.10.2019
Projects
Funder:
EC - European Commission
Funding programme:
H2020
Project number:
694544
Name:
Open many-body non-equilibrium systems
Acronym:
OMNES
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