2013
DOI: 10.1103/physreve.88.012109
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Statistical mechanics of a neutral point-vortex gas at low energy

Abstract: The statistics of a neutral point-vortex gas in an arbitrary two-dimensional simply connected and bounded container are investigated in the framework of the microcanonical ensemble, following the cumulant expansion method of Pointin and Lundgren [Phys. Fluids 19, 1459 (1976)]. The equation for vorticity fluctuations, obtained when a thermodynamic scaling limit is taken, is solved explicitly. The solution depends on an infinite sequence of negative "domain inverse temperatures," determined by the domain shape, … Show more

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Cited by 17 publications
(18 citation statements)
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“…To ensure that our initial vortex distribution corresponds to a positive temperature, we calculated the statistical weights by sampling M = 100, 000 realizations of a neutral vortex gas consisting of N v vortices. For each realization, the interaction energy per vortex was calculated and a probability distribution constructed from [38]…”
Section: Point Vortex Modelmentioning
confidence: 99%
“…To ensure that our initial vortex distribution corresponds to a positive temperature, we calculated the statistical weights by sampling M = 100, 000 realizations of a neutral vortex gas consisting of N v vortices. For each realization, the interaction energy per vortex was calculated and a probability distribution constructed from [38]…”
Section: Point Vortex Modelmentioning
confidence: 99%
“…While nearly symmetric for small n, the scaled density converges rapidly to a skewed distribution as n increases. The scaled inverse temperature asymptotes to a fixed negative value at large positive energies [11,19,20]. There is little difference in either the density of states or the temperature when n increases beyond 200.…”
Section: Equilibrium Statisticsmentioning
confidence: 99%
“…(42) holds if ψ 2n+1 ef f = 0 for all n ∈ N but this condition is not always satisfied. In particular, some important solutions may be forgotten by using the sinh-Poisson equation (42) instead of the Boltzmann-Poisson equation (40), as discussed in Sec. 4.…”
Section: The Sinh-poisson Equationmentioning
confidence: 99%
“…The strong mixing (or low energy) limit allows us to make a connection between the rigorous maximum entropy principle of statistical mechanics [14] and the phenomenological minimum enstrophy principle [32] introduced for a slightly viscous flow. 17 Indeed, in this limit, the statistical theory leads to a linear ω − ψ relationship (110), like when we minimize the enstrophy at fixed energy and circulation, writing the first variations as 16 In their original paper, Debye and Hückel [6] explicitly write the multi-species Boltzmann-Poisson equation (19) and the sinh-Poisson equation (42) with β > 0 and Aa = na. They linearize these equations at high temperature leading to Eq.…”
Section: The Minimum Enstrophy Principlementioning
confidence: 99%