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Universalities in a constrained motion of a particle with memory friction: A bead of a Rouse chain on a periodic wire

Eugene B. Postnikov*

Igor M. Sokolov†

  • *Contact author: postnikov@kursksu.ru
  • †Contact author: igor.sokolov@physik.hu-berlin.de

Phys. Rev. E 113, 024124 – Published 18 February, 2026

DOI: https://doi.org/10.1103/6g18-kjq6

Abstract

In our previous work [Phys. Rev. E 110, 034104 (2024)], we considered the mean-squared displacement (MSD) of particles whose free motion is subdiffusive and is described by a generalized Langevin equation (GLE) with power-law memory kernel under geometric constraints, e.g., when the particles are moving in channels of different shape. The MSD at long times was found to be independent of the channel's shape. Motivated by this finding, we discuss a simple physical model corresponding to such a situation. Here the particle is a tagged end monomer of a Rouse polymer chain, and the bath is represented by the rest of the chain and its surroundings. The constraints correspond to the motion of a monomer on a static, sinusoidally meandering wire. For the case of long chains we find the same independence of the long-time behavior on the wire's modulation as in the case of GLE: The MSD at longer times does not depend on the amplitude of the wire's modulation and is the same as for the straight wire. For shorter chains whose Rouse time lays in the observation domain, for moderate modulation, if the MSD already approached the one for a straight wire at times smaller or comparable to the Rouse time, the independence on the modulation is carried over to the final, diffusion regime at long times. In the case when constraints apply not only to the tagged monomer, but also to the rest of the chain (i.e., to the bath), the sensitivity to the wire's shape never disappears. A simple analytical approach based on homogenization gives a quite satisfactory description of our findings.

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References (25)

  1. E. B. Postnikov and I. M. Sokolov, Generalized Langevin subdiffusion in channels: The bath always wins, Phys. Rev. E 110, 034104 (2024).
  2. I. Goychuk, Viscoelastic subdiffusion: From anomalous to normal, Phys. Rev. E 80, 046125 (2009).
  3. M. Doi and S. F. Edwards, The Theory of Polymer Dynamics (Clarendon Press, Oxford, 1986).
  4. W. Reisner, J. N. Pedersen, and R. H. Austin, DNA confinement in nanochannels: Physics and biological applications, Rep. Prog. Phys. 75, 106601 (2012).
  5. K. Frykholm, V. Müller, K. D. Dorfman, and F. Westerlund, DNA in nanochannels: Theory and applications, Q. Rev. Biophys. 55, e12 (2022).
  6. A. Jain, J. Sheats, J. G. Reifenberger, H. Cao, and K. D. Dorfman, Modeling the relaxation of internal DNA segments during genome mapping in nanochannels, Biomicrofluidics 10, 054117 (2016).
  7. I. Yadav, W. Rosencrans, R. Basak, J. A. van Kan, and J. R. C. van der Maarel, Intramolecular dynamics of dsDNA confined to a quasi-one-dimensional nanochannel, Phys. Rev. Res. 2, 013294 (2020).
  8. Z. Wang, Z.-G. Wang, A.-C. Shi, Y. Lu, and L. An, Behaviors of a polymer chain in channels: From Zimm to Rouse dynamics, Macromolecules 56, 2447 (2023).
  9. V. Müller and F. Westerlund, Optical DNA mapping in nanofluidic devices: Principles and applications, Lab. Chip 17, 579 (2017).
  10. V. K. Sharma, H. Srinivasan, J. Gupta, and S. Mitra, Lipid lateral diffusion: Mechanisms and modulators, Soft Matter 20, 7763 (2024).
  11. L. Miao, J. Lin, Y. Huang, L. Li, D. Delcassian, Y. Ge, Y. Shi, and D. G. Anderson, Synergistic lipid compositions for albumin receptor mediated delivery of mRNA to the liver, Nat. Commun. 11, 2424 (2020).
  12. X. Woodward, M. Javanainen, B. Fábián, and C. V. Kelly, Nanoscale membrane curvature sorts lipid phases and alters lipid diffusion, Biophys. J. 122, 2203 (2023).
  13. B. Fábián and M. Javanainen, Diffusion analyses along mean and Gaussian-curved membranes with CurD, J. Phys. Chem. Lett. 15, 3214 (2024).
  14. C.-H. Lu, C. E. Lee, M. L. Nakamoto, and B. Cui, Cellular signaling at the nano-bio interface: Spotlighting membrane curvature, Annu. Rev. Phys. Chem. 76, 251 (2025).
  15. D. Panja, Anomalous polymer dynamics is non-Markovian: memory effects and the generalized Langevin equation formulation, J. Stat. Mech. (2010) P06011.
  16. D. Panja, Generalized Langevin equation formulation for anomalous polymer dynamics, J. Stat. Mech. (2010) L02001.
  17. A. E. Likhtman, Viscoelasticity and molecular rheology, in Polymer Science: A Comprehensive Reference, edited by K. Matyjaszewski and M. Möller (Elsevier, Amsterdam, 2012), pp. 133–179.
  18. L. S. L. Tan, Explicit inverse of tridiagonal matrix with applications in autoregressive modelling, IMA J. Appl. Math. 84, 679 (2019).
  19. G. Y. Hu and R. F. O'Connell, Analytical inversion of symmetric tridiagonal matrices, J. Phys. A: Math. Gen. 29, 1511 (1996).
  20. C. M. da Fonseca and J. Petronilho, Explicit inverses of some tridiagonal matrices, Linear Algebr. Appl. 325, 7 (2001).
  21. E. B. Postnikov and I. M. Sokolov, Subdiffusion in an array of solid obstacles, J. Phys. A: Math. Theor. 57, 055002 (2024).
  22. R. Kupferman, Fractional kinetics in Kac–Zwanzig heat bath models, J. Stat. Phys. 114, 291 (2004).
  23. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, edited by M. Abramowitz and I. A. Stegun (National Bureau of Standards, Washington, DC, 1964).
  24. K. L. Kuhlman, Review of inverse Laplace transform algorithms for Laplace-space numerical approaches, Numer. Algor. 63, 339 (2013).
  25. A. P. Prudnikov, Y. A. Brychkov, and O. I. Marichev, Integrals and Series 1: Elementary Functions (Gordon and Breach, New York, 1986).

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