1985
DOI: 10.1103/physrevlett.54.731
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Long-time tails in the velocity autocorrelation function of hard-rod binary mixtures

Abstract: The temporal evolution of binary mixtures of hard rods in a ring is simulated in a computer with random initial velocities ± v. The time the system takes to reach a Maxwellian distribution dramatically diverges as the mass ratio e -• 1 and it also increases, although rather slowly, when e -• oo. A negative "long-time tail," i.e., a slow, power-law decay in the velocity autocorrelation function at large values of the time t, is observed whose behavior changes from t~3 to t~b, 8 < 1, as e is increased from €=1.

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Cited by 16 publications
(7 citation statements)
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“…Theoretical studies [16] and simulation for various systems and molecular interactions [17,18,11,[19][20][21][22][23] Thus, determination of the VAF asymptotic behavior in dense systems remains a challenge. which complete understanding cannot be revealed by using traditional experimental techniques.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Theoretical studies [16] and simulation for various systems and molecular interactions [17,18,11,[19][20][21][22][23] Thus, determination of the VAF asymptotic behavior in dense systems remains a challenge. which complete understanding cannot be revealed by using traditional experimental techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Theoretical studies [16] and simulation for various systems and molecular interactions [17,18,11,[19][20][21][22][23] reinforced the hypothesis of the power law time dependence of the LTT, but with limitations posed by a finite time interval of simulations and the uncertainty of extrapolation to an infinite number of interacting particles [24]. These studies give comprehensive understanding of the LTT in a hard disk/sphere system, in contrast to the systems with more realistic continuous interaction like a Lennard-Jones potentials, where the LTT appears only in intermediate densities, almost in the gaseous state, while in dense systems other dynamical effects on shorter time scales, such as backscattering due to bouncing of atoms of near neighbours, effectively hide the LTT [25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…The problem of optimal relaxation in a one-dimensional binary gas mixture was first studied numerically in [15] through molecular dynamics simulation of a system of hard rods. Investigations have subsequently concentrated on the homogeneous (space-independent) Boltzmann equation, describing the evolution of the velocity distributions of both species F i (v, t) (i = 1, 2) as a coupled system…”
Section: Elastic Binary Mixtures and Beyondmentioning
confidence: 99%
“…Therefore, there must exist some optimal ratio in the interval ]1, ∞[ over which the relaxation rate is always finite. Following numerical observations for a binary mixture of hard rods [15], this problem has been solved for Maxwellian particles (see below) by two different techniques [16][17][18][19], leading to the same result: an optimal mass ratio of m 2 /m 1 = 3 + 2 √ 2 ≃ 5.82. This result has been extended to species with different concentrations in [20], using a method that may be generalized to an arbitrary number of discrete species.…”
Section: Introductionmentioning
confidence: 99%
“…Observing tagged particle dynamics constitutes a simple way of probing the complex dynamics of an interacting many body system and has been studied both theoretically [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23] and experimentally [24,25,26,27,28,29]. Much of the theoretical studies on tagged particle diffusion have focused on one-dimensional systems and discussed two situations where the microscopic particle dynamics is (i) Hamiltonian [1,2,3,4,5,6,7,8,9,10,11] or (ii) stochastic [12,13,14,15,16,17,18,19,20,…”
Section: Introductionmentioning
confidence: 99%