Abstract
Cluster dynamics possess the promising studies in statistical physics and complexity science. While proposing physical models, applying analytical methods and exploring macroscopic properties and microscopic interactions are critical to investigate physical mechanisms of cluster dynamics. Among these physical models, totally asymmetric simple exclusion process is an important non-equilibrium statistical physics model, as it is essential enough to lattice models. Besides, it is also abbreviated as TASEP. Additionally, asymmetric simple exclusion processes, ASEPs, are derivatives, whose dynamics are based on TASEP with other nonlinear physical processes. Actually, heterogeneity of ASEPs is available to depict the real physical and engineering phenomena in a more reasonable manner. Different with previous researches, connected ASEPs are proposed here, which are constituted by two isolated ASEP coupled with a conjunction. As for each individual ASEP, its dynamics are dominated by interacting energies. Different with previous work, two completely different energies are introduced in system, which are used to describe the competition between subsystems. By analyzing complete transition processes among different particle configurations, mean-field dynamical equations are established. Phase diagrams under different energies are obtained, which yield to findings of coexistence phase of low densities, coexistence phase of high densities and coexistence phase of low and high densities. These local densities are qualitatively different. Hereafter, evolution regularities of phase diagrams obtained from local densities and currents are obtained to deeply understand physical mechanisms of complexity science. Expanded results and discussions about potential applications and fewer basic results are also presented. Expanded model with different Langmuir kinetics and internal interacting energies is established. Governing partially differential equations of the whole system are derived. Four steady stacking states of kinesin-II and OSM-3 on bovine brain tubulins affected by two different kinds of buffers are found. This work will help and promote the understanding of non-equilibrium statistical evolutions and nonlinear dynamic behaviors of such multibody system.
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This manuscript has associated data in a data repository. [Authors’ comment: The data calculated and obtained by authors are uploaded to the repository “figshare” with the available hyperlink https://figshare.com/articles/data_rar/12519887. Citation information of authors' data is: Wang (2020): data. rar. figshare. Dataset. https://doi.org/10.6084/m9.figshare.12519887.v1].
References
M. Wang, B. Tian, Y. Sun, Z. Zhang, Comput. Math. Appl. 79(3), 576–587 (2020)
H.M. Yin, B. Tian, X.C. Zhao, Appl. Math. Comput. 368, 124768 (2020)
S.S. Chen, B. Tian, Y. Sun, C.R. Zhang, Ann. Phys.-Berl. 531(8), 1900011 (2019)
C.C. Hu, B. Tian, H.M. Yin, C.R. Zhang, Z. Zhang, Comput. Math. Appl. 78(1), 166–177 (2019)
Z. Du, B. Tian, H.P. Chai, X.H. Zhao, Appl. Math. Lett. 102, 106110 (2020)
X.X. Du, B. Tian, Q.X. Qu, Y.Q. Yuan, X.H. Zhao, Chaos Solitons Fractals 134, 109709 (2020)
C.R. Zhang, B. Tian, Q.X. Qu, L. Liu, H.Y. Tian, Z. Angew, Math. Phys. 71(1), 1–19 (2020)
X.Y. Gao, Appl. Math. Lett. 91, 165–172 (2019)
X.Y. Gao, Y.J. Guo, W.R. Shan, Appl. Math. Lett. 104, 106170 (2020)
Z. Du, B. Tian et al., Commun. Nonlinear Sci. 67, 49–59 (2019)
L. Liu, B. Tian et al., Phys. Rev. E 97(5), 052217 (2018)
Y.Q. Wang et al., Sci. Rep. 8, 16287 (2018)
J. Su, Y.T. Gao et al., Phys. Rev. E 100(4), 042210 (2019)
Y.Q. Wang et al., Nonlinear Dyn. 88(3), 1631–1641 (2017)
X.Y. Jia, B. Tian et al., Eur. Phys. J. Plus 132(11), 488 (2017)
X.H. Zhao, B. Tian et al., Eur. Phys. J. Plus 132(4), 192 (2017)
L. Liu, B. Tian et al., Physica A 492, 524–533 (2018)
J. Chai, B. Tian et al., Eur. Phys. J. Plus 132(2), 1–16 (2017)
Y.Q. Wang et al., Commun. Nonlinear Sci. 84, 105164 (2020)
C.C. Ding, Y.T. Gao et al., Eur. Phys. J. Plus 133(10), 406 (2018)
Y.J. Feng, Y.T. Gao et al., Eur. Phys. J. Plus 135(3), 1–12 (2020)
J.J. Su, Y.T. Gao, Eur. Phys. J. Plus 133(3), 96 (2018)
Y.Q. Wang et al., Nonlinear Dyn. 88(3), 2051–2061 (2017)
W.Q. Hu, Y.T. Gao et al., Eur. Phys. J. Plus 131(11), 390 (2016)
S.J. Chen, W.X. Ma, X. Lü, Commun. Nonlinear Sci. 83, 105135 (2020)
G.F. Deng, Y.T. Gao, J.J. Su et al., Nonlinear Dyn. 99(2), 1039–1052 (2020)
G.F. Deng, Y.T. Gao, Eur. Phys. J. Plus 132(6), 255 (2017)
C.C. Ding, Y.T. Gao et al., Chaos Solitons Fractals 133, 109580 (2020)
J.J. Su, Y.T. Gao, Eur. Phys. J. Plus 132(1), 1–9 (2017)
S.L. Jia, Y.T. Gao et al., Eur. Phys. J. Plus 132(1), 34 (2017)
J.W. Yang, Y.T. Gao et al., Eur. Phys. J. Plus 131(11), 416 (2016)
A.S. Asyikin, M.K. Halimah et al., J. Non-Cryst. Sol. 529, 119777 (2020)
E. Agliari, F. Alemanno et al., Phys. Rev. Lett. 124(2), 028301 (2020)
J. Jantzi, J.S. Olafsen, Granul. Matter 22(1), 12 (2020)
D.H. Jiang, J. Wang, X.Q. Liang et al., Int. J. Theor. Phys. 59, 436–444 (2020)
T.S. Hatakeyama et al., Phys. Rev. Res. 2(1), 012005 (2020)
H. Teimouri et al., J. Phys. A 48(6), 065001 (2015)
D.M. Miedema et al., Phys. Rev. X 7(4), 041037 (2017)
A. Riba et al., Proc. Natl. Acad. Sci. USA 116(30), 15023–15032 (2019)
T. Assiotis, Annales Henri Poincaré 1, 1–32 (2020)
A. Saenz, Anal. Trends Math. Phys. 741, 133 (2020)
A. Ayyer et al., J. Stat. Phys. 174(3), 605–621 (2019)
Y.Q. Wang et al., Int. J. Mod. Phys. B 33(20), 1950217 (2019)
Y.Q. Wang et al., Int. J. Mod. Phys. B 33(20), 1950229 (2019)
Y.Q. Wang et al., Int. J. Mod. Phys. B 33(20), 1950228 (2019)
Z. Tahiri et al., Int. J. Mod. Phys. C 1, 606 (2020)
Y.Q. Wang et al., Mod. Phys. Lett. B 33(2), 1950012 (2019)
Q.Y. Hao et al., Phys. Rev. E 98(6), 062111 (2018)
E. Frey et al., Annal. der Phys. 14(1–3), 20–50 (2005)
B. Torabi et al., Auton. Agents Multi-Agent Syst. 34(1), 1–24 (2020)
R. Swendsen, An Introduction to Statistical Mechanics and Thermodynamics (Oxford University Press, USA, 2020)
M. Kantner, J. Comput. Phys. 402, 109091 (2020)
T. Antal, G.M. Schutz, Phys. Rev. E 62, 83 (2000)
J.S. Hager et al., Phys. Rev. E 63, 056110 (2001)
M. Dierl et al., Phys. Rev. Lett. 108, 060603 (2012)
M. Dierl et al., Phys. Rev. E 87, 062126 (2013)
A.B. Kolomeisky, J. Phys. A: Math. Gen. 31, 1153 (1998)
J. Brankov et al., Phys. Rev. E 69, 066128 (2004)
M.E. Foulaadvand et al., Phys. Rev. E 94, 012304 (2016)
L. Gomes et al., J. Phys. A 52(36), 365001 (2019)
T. Midha et al., J. Stat. Mech. 208(4), 043205 (2018)
T. Midha et al., J. Stat. Phys. 169(4), 824–845 (2017)
T. Midha et al., J. Stat. Mech. 2017(7), 073202 (2017)
T. Midha et al., J. Stat. Mech. 2019(8), 083202 (2019)
V.S. Kushwaha et al., PLoS ONE 15(2), e0228930 (2020)
J. Cholewa-Waclaw et al., PNAS 116(30), 14995–15000 (2019)
J. Szavits-Nossan et al., bioRxiv 719302 (2020)
A. Riba et al., PNAS 116(30), 15023–15032 (2019)
Acknowledgements
The research is under the support of National Natural Science Foundation of China (Grant No. 11705042), China Postdoctoral Science Foundation (Grant Nos. 2018T110040, 2016M590041), Fundamental Research Funds for the Central Universities (Grant No. JZ2018HGTB0238), Curriculum Planning and Design Research Project (Grant No. 102-033119) and Teaching Quality and Teaching Reform Project (Grant No. JYQZ1815). Prof. Yu-Qing Wang and Dr. Chang Xu made equal contributions to the work.
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Wang, YQ., Xu, C. Cluster dynamics in the open-boundary heterogeneous ASEPs coupled with interacting energies. Eur. Phys. J. Plus 135, 518 (2020). https://doi.org/10.1140/epjp/s13360-020-00495-5
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DOI: https://doi.org/10.1140/epjp/s13360-020-00495-5