IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v374y2007i1p85-102.html
   My bibliography  Save this article

Order–disorder separation: Geometric revision

Author

Listed:
  • Gorban, Alexander

Abstract

After Boltzmann and Gibbs, the notion of disorder in statistical physics relates to ensembles, not to individual states. This disorder is measured by the logarithm of ensemble volume, the entropy. But recent results about measure concentration effects in analysis and geometry allow us to return from the ensemble-based point of view to a state-based one, at least, partially. In this paper, the order–disorder problem is represented as a problem of relation between distance and measure. The effect of strong order–disorder separation for multiparticle systems is described: the phase space could be divided into two subsets, one of them (set of disordered states) has almost zero diameter, the second one has almost zero measure. The symmetry with respect to permutations of particles is responsible for this type of concentration. Dynamics of systems with strong order–disorder separation has high average acceleration squared, which can be interpreted as evolution through a series of collisions (acceleration-dominated dynamics). The time arrow direction from order to disorder follows from the strong order–disorder separation. But, inverse, for systems in space of symmetric configurations with “sticky boundaries” the way back from disorder to order is typical (Natural selection). Recommendations for mining of molecular dynamics results are also presented.

Suggested Citation

  • Gorban, Alexander, 2007. "Order–disorder separation: Geometric revision," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(1), pages 85-102.
  • Handle: RePEc:eee:phsmap:v:374:y:2007:i:1:p:85-102
    DOI: 10.1016/j.physa.2006.07.034
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437106008156
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2006.07.034?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanley, H.Eugene & Buldyrev, Sergey V. & Giovambattista, Nicolas, 2004. "Static heterogeneities in liquid water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(1), pages 40-47.
    2. Lebowitz, Joel L., 1999. "Microscopic origins of irreversible macroscopic behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 516-527.
    3. Prigogine, I., 1999. "Laws of nature, probability and time symmetry breaking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 528-539.
    4. Lieb, Elliott H., 1999. "Some problems in statistical mechanics that I would like to see solved," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 491-499.
    5. Jeffrey R. Errington & Pablo G. Debenedetti, 2001. "Relationship between structural order and the anomalies of liquid water," Nature, Nature, vol. 409(6818), pages 318-321, January.
    6. Touchette, Hugo & Ellis, Richard S. & Turkington, Bruce, 2004. "An introduction to the thermodynamic and macrostate levels of nonequivalent ensembles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 340(1), pages 138-146.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lebed, Igor V., 2019. "The cause for emergence of irreversibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 325-341.
    2. Kanth, Jampa Maruthi Pradeep & Anishetty, Ramesh, 2012. "Molecular mean field theory for liquid water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 439-455.
    3. Gruber, Ch. & Piasecki, J., 1999. "Stationary motion of the adiabatic piston," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 268(3), pages 412-423.
    4. Matty, Michael & Lancaster, Lachlan & Griffin, William & Swendsen, Robert H., 2017. "Comparison of canonical and microcanonical definitions of entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 474-489.
    5. Zhao Fan & Hajime Tanaka, 2024. "Microscopic mechanisms of pressure-induced amorphous-amorphous transitions and crystallisation in silicon," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Großkinsky, Stefan, 2008. "Equivalence of ensembles for two-species zero-range invariant measures," Stochastic Processes and their Applications, Elsevier, vol. 118(8), pages 1322-1350, August.
    7. Rizzatti, Eduardo Osório & Gomes Filho, Márcio Sampaio & Malard, Mariana & Barbosa, Marco Aurélio A., 2019. "Waterlike anomalies in the Bose–Hubbard model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 323-330.
    8. Casetti, Lapo & Kastner, Michael, 2007. "Partial equivalence of statistical ensembles and kinetic energy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 318-334.
    9. Alvarez-Ramirez, J. & Echeverria, J.C. & Meraz, M. & Rodriguez, E., 2017. "Asymmetric acceleration/deceleration dynamics in heart rate variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 213-224.
    10. Yin, Yi & Shang, Pengjian & Xia, Jianan, 2015. "Compositional segmentation of time series in the financial markets," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 399-412.
    11. Nogueira, T.P.O. & Bordin, José Rafael, 2022. "Patterns in 2D core-softened systems: From sphere to dumbbell colloids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    12. Rui Shi & Anthony J. Cooper & Hajime Tanaka, 2023. "Impact of hierarchical water dipole orderings on the dynamics of aqueous salt solutions," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    13. Cardoso, Daniel Souza & Hernandes, Vinicius Fonseca & Nogueira, T.P.O. & Bordin, José Rafael, 2021. "Structural behavior of a two length scale core-softened fluid in two dimensions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    14. Kalogeropoulos, Nikolaos, 2018. "Time irreversibility from symplectic non-squeezing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 202-210.
    15. Jiang, Chenguang & Shang, Pengjian & Shi, Wenbin, 2016. "Multiscale multifractal time irreversibility analysis of stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 492-507.
    16. Bumstead, M. & Arnold, B. & Turak, A., 2017. "Reproducing morphologies of disorderly self-assembling planar molecules with static and dynamic simulation methods by matching density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 301-314.
    17. Girardi, Mauricio & Szortyka, Marcia & Barbosa, Marcia C., 2007. "Diffusion anomaly in a three-dimensional lattice gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(2), pages 692-697.
    18. Stephan Thaler & Julija Zavadlav, 2021. "Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    19. Brizhik, Larissa & Del Giudice, Emilio & Jørgensen, Sven E. & Marchettini, Nadia & Tiezzi, Enzo, 2009. "The role of electromagnetic potentials in the evolutionary dynamics of ecosystems," Ecological Modelling, Elsevier, vol. 220(16), pages 1865-1869.
    20. Cerino, L. & Cecconi, F. & Cencini, M. & Vulpiani, A., 2016. "The role of the number of degrees of freedom and chaos in macroscopic irreversibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 486-497.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:374:y:2007:i:1:p:85-102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.