Mathematical Analysis for a Class of Stochastic Copolymerization Processes

We study a stochastic model of a copolymerization process that has been extensively investigated in the physics literature. The main questions of interest include: (i) what are the criteria for transience, null recurrence, and positive recurrence in terms of the system parameters; (ii) in the transient regime, what are the limiting fractions of the different monomer types; and (iii) in the transient regime, what is the speed of growth of the polymer? Previous studies in the physics literature have addressed these questions using heuristic methods. Here, we utilize rigorous mathematical arguments to derive the results from the physics literature. Moreover, the techniques developed allow us to generalize to the copolymerization process with finitely many monomer types. We expect that the mathematical methods used and developed in this work will also enable the study of even more complex models in the future.

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Publication Details

Journal
Bulletin of Mathematical Biology
Published
2026-01-13
DOI
https://doi.org/10.1007/s11538-025-01585-0
Primary Topic
Rheology and Fluid Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Mathematical Analysis for a Class of Stochastic Copolymerization Processes

David F. Anderson, Praful Gagrani, Jingyi Ma
Bulletin of Mathematical Biology
Rheology and Fluid Dynamics Studies
article

Mathematical Analysis for a Class of Stochastic Copolymerization Processes

David F. Anderson, Praful Gagrani, Jingyi Ma
article en

Abstract

We study a stochastic model of a copolymerization process that has been extensively investigated in the physics literature. The main questions of interest include: (i) what are the criteria for transience, null recurrence, and positive recurrence in terms of the system parameters; (ii) in the transient regime, what are the limiting fractions of the different monomer types; and (iii) in the transient regime, what is the speed of growth of the polymer? Previous studies in the physics literature have addressed these questions using heuristic methods. Here, we utilize rigorous mathematical arguments to derive the results from the physics literature. Moreover, the techniques developed allow us to generalize to the copolymerization process with finitely many monomer types. We expect that the mathematical methods used and developed in this work will also enable the study of even more complex models in the future.

Bulletin of Mathematical BiologyVol. 88(2)
University of Wisconsin–Madison (US), The University of Tokyo (JP)
National Science Foundation, Japan Society for the Promotion of Science, Division of Environmental Biology, Core Research for Evolutional Science and Technology
Openalex Percentile: Top 90%
Rheology and Fluid Dynamics Studies
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