Sub-anomalous diffusion and unusual velocity distribution evolution in cooling granular gases: theory
Raphael Blumenfeld

TL;DR
This paper derives from first principles that particle diffusion in cooling granular gases is logarithmic over time, providing a new theoretical understanding that aligns with Haff's law and predicts an unusual velocity distribution evolution.
Contribution
It introduces a first-principles derivation of diffusion and velocity distribution evolution in cooling granular gases, avoiding common approximations and clarifying the decay dynamics.
Findings
MSD increases logarithmically with time
Haff's law for energy decay is derived from first principles
Unusual functional form for velocity distribution evolution
Abstract
There is no agreement in the literature on the rate of diffusion of a particle in a cooling granular gas. Predictions and model assumptions range from the conventional to very exotic dependence of the mean square distance (MSD) on time. This problem is addressed here by calculating the MSD from first-principles. The calculation is based on random-walking and it circumvents the common use of continuum equations and equations of states, which involve approximations that erode at low gas particle densities. The MSD is found to increase logarithmically with time -- slower than even in anomalous diffusion. This result is consistent with the well-established Haff's law for the decay of the kinetic energy, which is also derived along the way from the same first principles. This derivation also pins down Haff's time constant, alleviating the usual need for a fitting parameter. The diffusion…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGranular flow and fluidized beds · Material Dynamics and Properties · Fractional Differential Equations Solutions
