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    Particles, trajectories, and diffusion: Random walks in cooling granular gases

    Santos Bravo Yuste*

    Rubén Gómez González†

    Vicente Garzó‡

    • Departamento de Física and Instituto de Computación Científica Avanzada (ICCAEx), Universidad de Extremadura, E-06006 Badajoz, Spain

    • Departamento de Física and Instituto de Computación Científica Avanzada (ICCAEx), Universidad de Extremadura, E-06006 Badajoz, Spain.

    • *Contact author: santos@unex.es; https://fisteor.cms.unex.es/investigadores/santos-bravo-yuste/
    • †Contact author: ruben@unex.es
    • ‡Contact author: vicenteg@unex.es; https://fisteor.cms.unex.es/investigadores/vicente-garzo-puertos/

    Phys. Rev. E 113, 015420 – Published 28 January, 2026

    DOI: https://doi.org/10.1103/mzkp-595j

    Abstract

    We study the mean-square displacement (MSD) of a tracer particle diffusing in a granular gas of inelastic hard spheres under homogeneous cooling state. Tracer and granular gas particles are in general mechanically different. Our approach uses a series representation of the MSD where the kth term is given in terms of the mean scalar product 〈r1·rk〉, with ri denoting the displacements of the tracer between successive collisions. We find that this series approximates a geometric series with the ratio Ω. We derive an explicit analytical expression of Ω for granular gases in three dimensions and validate it through a comparison with the numerical results obtained from the direct simulation Monte Carlo (DSMC) method. Our comparison covers a wide range of masses, sizes, and inelasticities. From the geometric series, we find that the MSD per collision is simply given by the mean-square free path of the particle divided by 1−Ω. The analytical expression for the MSD derived here is compared with DSMC data and with the first- and second-Sonine approximations to the MSD obtained from the Chapman-Enskog solution of the Boltzmann equation. Surprisingly, despite their simplicity, our results outperform the predictions of the first-Sonine approximation to the MSD, achieving accuracy comparable to the second-Sonine approximation.

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