IDEAS home Printed from https://ideas.repec.org/a/eee/spapps/v192y2026ics0304414925002728.html

On the Condensation and fluctuations in reversible coagulation–fragmentation models

Author

Listed:
  • Sun, Wen

Abstract

We study the condensation phenomenon for the invariant measures of the mean-field model of reversible coagulation–fragmentation processes conditioned to a supercritical density of particles. It is shown that when the parameters of the associated balance equation satisfy a subexponential tail condition, there is a single giant particle that corresponds to the missing mass in the macroscopic limit. We also show that in this case, the rest of the particles are asymptotically i.i.d according to the normalised equilibrium state of the limit hydrodynamic differential equation. Conditions for the normal fluctuations and the α-stable fluctuations around the condensed mass are given. We obtain the large deviation principle for the empirical measure of the masses of the particles at equilibrium as well.

Suggested Citation

  • Sun, Wen, 2026. "On the Condensation and fluctuations in reversible coagulation–fragmentation models," Stochastic Processes and their Applications, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:spapps:v:192:y:2026:i:c:s0304414925002728
    DOI: 10.1016/j.spa.2025.104828
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304414925002728
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spa.2025.104828?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Armendáriz, Inés & Loulakis, Michail, 2011. "Conditional distribution of heavy tailed random variables on large deviations of their sum," Stochastic Processes and their Applications, Elsevier, vol. 121(5), pages 1138-1147, May.
    2. E. Hingant & R. Yvinec, 2017. "Deterministic and Stochastic Becker–Döring Equations: Past and Recent Mathematical Developments," Springer Books, in: David Holcman (ed.), Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, pages 175-204, Springer.
    3. Richard Durrett & Boris L. Granovsky & Shay Gueron, 1999. "The Equilibrium Behavior of Reversible Coagulation-Fragmentation Processes," Journal of Theoretical Probability, Springer, vol. 12(2), pages 447-474, April.
    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. Søren Asmussen & Jaakko Lehtomaa, 2017. "Distinguishing Log-Concavity from Heavy Tails," Risks, MDPI, vol. 5(1), pages 1-14, February.
    2. Lehtomaa, Jaakko, 2015. "Limiting behaviour of constrained sums of two variables and the principle of a single big jump," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 157-163.
    3. Armendáriz, Inés & Grosskinsky, Stefan & Loulakis, Michail, 2013. "Zero-range condensation at criticality," Stochastic Processes and their Applications, Elsevier, vol. 123(9), pages 3466-3496.
    4. Vogel, Quirin, 2023. "Emergence of interlacements from the finite volume Bose soup," Stochastic Processes and their Applications, Elsevier, vol. 166(C).
    5. Li, Jinzhu, 2025. "The principle of a single big jump from the perspective of tail moment risk measure," Insurance: Mathematics and Economics, Elsevier, vol. 124(C).
    6. C. Y. Amy Pang, 2019. "Lumpings of Algebraic Markov Chains Arise from Subquotients," Journal of Theoretical Probability, Springer, vol. 32(4), pages 1804-1844, December.
    7. Yoshiyuki ARATA & Hiroshi YOSHIKAWA & Shingo OKAMOTO, 2025. "Explaining Zipf's Law by Rapid Growth," Discussion papers 25070, Research Institute of Economy, Trade and Industry (RIETI).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spapps:v:192:y:2026:i:c:s0304414925002728. 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.elsevier.com/wps/find/journaldescription.cws_home/505572/description#description .

    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.