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Finite density scaling laws of condensation phase transition in zero-range processes on scale-free networks |
Guifeng Su(苏桂锋)1, Xiaowen Li(李晓温)1, Xiaobing Zhang(张小兵)2, Yi Zhang(张一)1 |
1 Department of Physics, Shanghai Normal University, Shanghai 200234, China; 2 School of Physics, Nankai University, Tianjin 300071, China |
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Abstract The dynamics of zero-range processes on complex networks is expected to be influenced by the topological structure of underlying networks. A real space complete condensation phase transition in the stationary state may occur. We study the finite density effects of the condensation transition in both the stationary and dynamical zero-range processes on scale-free networks. By means of grand canonical ensemble method, we predict analytically the scaling laws of the average occupation number with respect to the finite density for the steady state. We further explore the relaxation dynamics of the condensation phase transition. By applying the hierarchical evolution and scaling ansatz, a scaling law for the relaxation dynamics is predicted. Monte Carlo simulations are performed and the predicted density scaling laws are nicely validated.
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Received: 08 January 2020
Revised: 06 April 2020
Accepted manuscript online:
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PACS:
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89.75.Hc
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(Networks and genealogical trees)
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05.20.-y
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(Classical statistical mechanics)
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02.50.Ey
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(Stochastic processes)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11505115). |
Corresponding Authors:
Yi Zhang
E-mail: yizhang@shnu.edu.cn
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Cite this article:
Guifeng Su(苏桂锋), Xiaowen Li(李晓温), Xiaobing Zhang(张小兵), Yi Zhang(张一) Finite density scaling laws of condensation phase transition in zero-range processes on scale-free networks 2020 Chin. Phys. B 29 088904
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[1] |
Anderson M H, Ensher J R, Matthews M R, Wieman C E and Cornell E A 1995 Science 269 198
|
[2] |
Chowdhury D, Santen L and Schadschneider A 2000 Phys. Rep. 329 199
|
[3] |
van der Meer D, van der Weele K and Lohse D 2002 Phys. Rev. Lett. 88 174302
|
[4] |
van der Meer D, van der Weele K and Lohse D 2004 J. Stat. Mech.:Theor. Exp. 04 P04004
|
[5] |
Krapivsky P L, Redner S and Leyvraz F 2000 Phys. Rev. Lett. 85 4629
|
[6] |
Bianconi G and Barabási A L 2001 Phys. Rev. Lett. 86 5632
|
[7] |
Su G F, Zhang X B and Zhang Y 2012 Eurphys. Lett. 100 38003
|
[8] |
Pathria R K and Beale P D 2011 Statistical Mechanics 3rd edn (New York:Academic Press)
|
[9] |
Liggett T M 1999 Stochastic Interacting Systems:Contact, Voter, and Exclusion Processes (Berlin:Springer)
|
[10] |
Schmittmann B and Zia R K P 1995 Statistical Mechanics of Driven Diffusive Systems edited by Domb C and Lebowitz J L (New York:Academic Press)
|
[11] |
Evans M R, Kafri Y, Koduvely H M and Mukamel D 1998 Phys. Rev. Lett. 80 425
|
[12] |
Evans M R Hanney T and Majumdar S N 2006 Phys. Rev. Lett. 97 010602
|
[13] |
Spitzer F 1970 Adv. Math. 5 246
|
[14] |
Evans M R and Hanney T 2005 J. Phys. A:Math. Gen. 38 R195
|
[15] |
Godréche C 2007 Lect. Notes Phys. 716 261
|
[16] |
Evans M R 2000 Braz. J. Phys. 30 42
|
[17] |
Großkinsky S, Schütz G M and Spohn H 2003 J. Stat. Mech.:Theor. Exp. 113 389
|
[18] |
Majumdar S N, Evans M R and Zia R K P 2005 Phys. Rev. Lett. 94 180601
|
[19] |
Godréche C and Luck J M 2012 J. Stat. Mech.:Theor. Exp. 2012 P12013
|
[20] |
Albert R and Barábasi A L 2002 Rev. Mod. Phys. 74 47
|
[21] |
Eguiluz V M, Chialvo D R, Cecchi G A, Baliki M and Apkarian A V 2005 Phys. Rev. Lett. 94 018102
|
[22] |
Boccaletti S, Latora V, Moreno Y, Chavez M and Hwang D U 2006 Phys. Rep. 424 175
|
[23] |
Barabási A L and Albert R 1999 Science 286 509
|
[24] |
Dorogovtsev S N, Goltsev A V and Mendes J F F 2008 Rev. Mod. Phys. 80 1275
|
[25] |
Barthelemy M, Barrat A, Pastor-Satorras R and Vespignani A 2004 Phys. Rev. Lett. 92 178701
|
[26] |
Sood V and Redner S 2005 Phys. Rev. Lett. 94 178701
|
[27] |
Noh J D, Shim G M and Lee H 2005 Phys. Rev. Lett. 94 198701
|
[28] |
Noh J D 2005 Phys. Rev. E 72 056123
|
[29] |
Tang M, Liu Z and Zhou J 2006 Phys. Rev. E 74 036101
|
[30] |
Cohen R, Erez K, ben-Avraham D and Havlin S 2000 Phys. Rev. Lett. 85 4626
|
[31] |
Noh J D and Rieger H 2004 Phys. Rev. Lett. 92 118701
|
[32] |
Krug J 2000 Braz. J. Phys. 30 97
|
[33] |
Evans M R 1996 Europhys. Lett. 36 13
|
[34] |
Jain K and Barma M 2003 Phys. Rev. Lett. 91 135701
|
[35] |
Evans M R, Majumdar S N and Zia R K P 2004 J. Phys. A 37 L275
|
[36] |
Zia R K P, Evans M R and Majumdar S N 2004 J. Stat. Mech.:Theor. Exp. 2004 L10001
|
[37] |
Godréche C 2003 J. Phys. A:Math. Theor. 36 6313
|
[38] |
Großkinsky S and Hanney T 2005 Phys. Rev. E 72 016129
|
[39] |
Godréche C and Drouffe J M 2017 J. Phys. A:Math. Theor. 50 015005
|
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