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Updated: Dec 14, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Active velocity processes with suprathermal stationary distributions and long-time tails
Tirthankar Banerjee1, Urna Basu2, Christian Maes1
1Instituut voor Theoretische Fysica, KU Leuven, 3000 Leuven, Belgium.
Particles in random force fields with speed-dependent friction exhibit heavy-tailed velocity distributions. This framework explains non-Maxwellian behavior in driven gases and space plasma, showing persistence at high speeds.
Area of Science:
- Statistical Physics
- Plasma Physics
- Nonlinear Dynamics
Background:
- Particles in random environments can exhibit complex dynamics.
- Understanding non-Maxwellian velocity distributions is crucial in various physical systems.
- Friction and external forces significantly influence particle behavior.
Purpose of the Study:
- To develop a unifying framework for emergent heavy tails in velocity distributions.
- To explain power-law decay in electron velocity distributions in space plasma.
- To provide a general explanation for non-Maxwellian behavior in driven gases.
Main Methods:
- Analysis of particle dynamics in spatially random force fields.
- Incorporation of speed-dependent friction from a thermal bath.
- Investigation of velocity distributions and velocity autocorrelation functions.
Main Results:
- A framework is established for the emergence of heavy tails in velocity distributions.
- High-energy localization is enabled by friction that weakens at high speeds.
- Long-time tails in velocity autocorrelation indicate persistence at large speeds.
- Superdiffusion of the position variable is implied.
Conclusions:
- The study provides a unified explanation for heavy-tailed velocity distributions.
- The findings are relevant for understanding space plasma and driven gases.
- Persistence at high speeds and superdiffusion are key implications.
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