Stochastic Dynamics Toward the Steady State of Self-Gravitating Systems
Tohru Tashiro, Takayuki Tatekawa

TL;DR
This paper develops a stochastic model using a Langevin equation with additive and multiplicative noise to explain the approach to steady states in self-gravitating systems like globular clusters and galaxies, supported by numerical simulations.
Contribution
It introduces a novel stochastic framework with a specialized Langevin equation to describe the dynamics of self-gravitating systems toward equilibrium, including non-Maxwellian distributions.
Findings
Derived non-Maxwellian density profiles around the core.
Showed the model matches observed density profiles by tuning parameters.
Applied the model to systems with heavier particles, like black holes.
Abstract
We will construct a theory which can explain the dynamics toward the steady state self-gravitating systems (SGSs) where many particles interact via the gravitational force. Real examples of SGS in the universe are globular clusters and galaxies. The idea is to represent an interaction by which a particle of the system is affected from the others by a special random force. That is, we will use a special Langevin equation, just as the normal Langevin equation can unveil the dynamics toward the steady state described by the Maxwell-Boltzmann distribution. However, we cannot introduce the randomness into the system without any evidence. Then, we must confirm that each orbit is random indeed. Of course, it is impossible to understand orbits of stars in globular clusters from observations. Thus we use numerical simulations. From the numerical simulations of SGS, grounds that we use the random…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Cosmology and Gravitation Theories
