Dynamics of dilute gases: a statistical approach

The evolution of a gas can be described by different models depending on the observation scale. A natural question, raised by Hilbert in his sixth problem, is whether these models provide consistent predictions. In particular, for rarefied gases, it is expected that continuum laws of kinetic theory can be obtained directly from molecular dynamics governed by the fundamental principles of mechanics. In the case of hard sphere gases, Lanford [44] showed that the Boltzmann equation emerges as the law of large numbers in the low density limit, at least for very short times. The goal of this survey is to present recent progress in the understanding of this limiting process, providing a complete statistical description. 1. AIM : PROVIDING A STATISTICAL PICTURE OF DILUTE GAS DYNAMICS 1.1. A very simple physical model. Even though at the time Boltzmann published his famous paper [16], the atomistic theory was still dismissed by some scientists, it is now well established that matter is composed of atoms, which are the elementary constituents of all solid, liquid and gaseous substances. The particularity of dilute gases is that their atoms are very weakly bound and almost independent. In other words, there are very few constraints on their geometric arrangement because their volume is negligible compared to the total volume occupied by the gas. If we neglect the internal structure of atoms (consisting of a nucleus and electrons) and their possible organisation into molecules, we can represent a gas as a large system of correlated interacting particles. We will also neglect the effect of long range interactions and assume strong interatomic forces at very short distance. Each particle moves freely most of the time and occasionally collides with some other particle leading to an almost instantaneous scattering. The simplest example of such a model consists in assuming that the particles are identical tiny balls of unit mass interacting only by contact (see Figure 1). We then speak of a gas of hard spheres. All the results we will present should nevertheless extend to isotropic, compactly supported stable interaction potentials [60, 55]. This microscopic description of a gas is daunting because the number of particles involved is extremely large, the individual size of these particles is tiny (of diameter ε ≪ 1) and therefore positions are very sensitive to small spatial shifts (see Figure 2). In practice, this model is not efficient for making theoretical predictions, and numerical methods are often in favour of Monte Carlo simulations. The question we would like to address here is a more fundamental one, namely the consistency of this (simplified) atomic description with the kinetic or fluid models used in applications. This question was formalised by Hilbert at the ICM in 1900, in his sixth problem: ”Boltzmann’s work on the principles of mechanics suggests the problem of developing mathematically the limiting processes, there merely indicated, which lead from the atomistic view to the laws of motion of continua”. The Boltzmann equation, mentioned by Hilbert and which we will present in more detail later, expresses that the distribution of particles evolves under the combined effect of free transport and collisions. For these two effects to be of the same order of magnitude, a simple calculation shows that, in dimension d ≥ 2, the number of particles N and their diameter size ε must satisfy the scaling relation Nεd−1 = O(1), the so-called Boltzmann-Grad scaling [38]. Indeed the regime described by the Boltzmann equation is such that the mean free path, namely the average distance covered by 1 ar X iv :2 20 1. 10 14 9v 1 [ m at h. A P] 2 5 Ja n 20 22 2 T. BODINEAU, I. GALLAGHER, L. SAINT-RAYMOND, AND S. SIMONELLA

[1]  L. Saint-Raymond,et al.  One-sided convergence in the Boltzmann-Grad limit , 2016, 1612.03722.

[2]  B. Derrida Microscopic versus macroscopic approaches to non-equilibrium systems , 2010, 1012.1136.

[3]  François Golse,et al.  Fluid dynamic limits of kinetic equations II convergence proofs for the boltzmann equation , 1993 .

[4]  S. Méléard Convergence of the fluctuations for interacting diffusions with jumps associated with boltzmann equations , 1998 .

[5]  Daniel Heydecker Large Deviations of Kac's Conservative Particle System and Energy Non-Conserving Solutions to the Boltzmann Equation: A Counterexample to the Predicted Rate Function , 2021 .

[6]  Quantum diffusion of the random Schrödinger evolution in the scaling limit , 2005, math-ph/0512014.

[7]  C. Cercignani,et al.  Many-Particle Dynamics And Kinetic Equations , 1997 .

[8]  L. Saint-Raymond,et al.  Long‐time correlations for a hard‐sphere gas at equilibrium , 2020, Communications on Pure and Applied Mathematics.

[9]  Ioakeim Ampatzoglou,et al.  A Rigorous Derivation of a Boltzmann System for a Mixture of Hard-Sphere Gases , 2021, SIAM J. Math. Anal..

[10]  Equipe de Modélisation Stochastique On Large Deviations for Particle Systems Associated with Spatially Homogeneous Boltzmann Type Equations , 2004 .

[11]  L. Saint-Raymond,et al.  Statistical dynamics of a hard sphere gas: fluctuating Boltzmann equation and large deviations , 2020, 2008.10403.

[12]  R. Esposito,et al.  Binary Fluids with Long Range Segregating Interaction. I: Derivation of Kinetic and Hydrodynamic Equations , 2000 .

[13]  N. Ayi From Newton’s Law to the Linear Boltzmann Equation Without Cut-Off , 2017, Communications in Mathematical Physics.

[14]  Isabelle Gallagher,et al.  From Newton to Boltzmann: Hard Spheres and Short-range Potentials , 2012, 1208.5753.

[15]  Laure Saint-Raymond,et al.  Hydrodynamic Limits of the Boltzmann Equation , 2009 .

[16]  M. Kac,et al.  Fluctuations and the Boltzmann equation. I , 1976 .

[17]  Corentin Le Bihan Boltzmann-Grad limit of a hard sphere system in a box with diffusive boundary conditions , 2021 .

[18]  H. Grad Principles of the Kinetic Theory of Gases , 1958 .

[19]  R. Illner,et al.  The mathematical theory of dilute gases , 1994 .

[20]  J. Lebowitz,et al.  Equilibrium time correlation functions in the low-density limit , 1980 .

[21]  Large deviations from a kinetic limit , 1998 .

[22]  H. Spohn Large Scale Dynamics of Interacting Particles , 1991 .

[23]  P. Lions,et al.  On the Cauchy problem for Boltzmann equations: global existence and weak stability , 1989 .

[24]  F. Golse On the Dynamics of Large Particle Systems in the Mean Field Limit , 2013, 1301.5494.

[25]  C. Landim,et al.  Macroscopic fluctuation theory , 2014, 1404.6466.

[26]  Alessia Nota,et al.  Interacting particle systems with long-range interactions: scaling limits and kinetic equations , 2020, Rendiconti Lincei - Matematica e Applicazioni.

[27]  L. Saint-Raymond,et al.  The Brownian motion as the limit of a deterministic system of hard-spheres , 2013, 1305.3397.

[28]  O. Lanford Time evolution of large classical systems , 1975 .

[29]  F. Golse,et al.  La méthode de l’entropie relative pour les limites hydrodynamiques de modèles cinétiques , 2000 .

[30]  From Hard Sphere Dynamics to the Stokes–Fourier Equations: An Analysis of the Boltzmann–Grad Limit , 2015, 1511.03057.

[31]  Asymptotic motion of a classical particle in a random potential in two dimensions: Landau model , 1987 .

[32]  Horng-Tzer Yau,et al.  Relative entropy and hydrodynamics of Ginzburg-Landau models , 1991 .

[33]  N. Masmoudi Hydrodynamic Limits of the Boltzmann Equation , 2004 .

[34]  Suren Poghosyan,et al.  Abstract cluster expansion with applications to statistical mechanical systems , 2008, 0811.4281.

[35]  Lecture Notes on Quantum Brownian Motion , 2010 .

[36]  L. Boltzmann Weitere Studien über das Wärmegleichgewicht unter Gasmolekülen , 1970 .

[37]  L. Saint-Raymond,et al.  Lenard–Balescu correction to mean-field theory , 2019, Probability and Mathematical Physics.

[38]  G. Papanicolaou,et al.  A limit theorem for stochastic acceleration , 1980 .

[39]  R. Marra,et al.  Stationary Non equilibrium States in Kinetic Theory , 2020 .

[40]  E. M.,et al.  Statistical Mechanics , 2021, Manual for Theoretical Chemistry.

[41]  A. V. Bobylev,et al.  On Vlasov–Manev Equations. I: Foundations, Properties, and Nonglobal Existence , 1997 .

[42]  M. Pulvirenti,et al.  The Boltzmann–Grad limit of a hard sphere system: analysis of the correlation error , 2014, 1405.4676.

[43]  Pierre-Emmanuel Jabin,et al.  Mean Field Limit and Propagation of Chaos for Vlasov Systems with Bounded Forces , 2015, 1511.03769.

[44]  M. Kac Foundations of Kinetic Theory , 1956 .

[45]  Ryan Denlinger The Propagation of Chaos for a Rarefied Gas of Hard Spheres in the Whole Space , 2016, 1605.00589.

[46]  S. Mischler,et al.  Kac’s program in kinetic theory , 2011, Inventiones mathematicae.

[47]  M. Pulvirenti The weak-coupling limit of large classical and quantum systems , 2006 .

[48]  A. U.S VALIDITY OF THE BOLTZMANN EQUATION WITH AN EXTERNAL FORCE , 2011 .

[49]  F. Golse,et al.  Fluid dynamic limits of kinetic equations. I. Formal derivations , 1991 .

[50]  M. Ernst,et al.  Nonequilibrium fluctuations in μ space , 1981 .

[51]  Alessia Nota,et al.  Interacting particle systems with long-range interactions: Approximation by tagged particles in random fields , 2021, Rendiconti Lincei - Matematica e Applicazioni.

[52]  F. Rezakhanlou Boltzmann–Grad Limits for Stochastic Hard Sphere Models , 2004 .

[53]  W. Braun,et al.  The Vlasov dynamics and its fluctuations in the 1/N limit of interacting classical particles , 1977 .

[54]  J. Lebowitz,et al.  Fourier's Law: a Challenge for Theorists , 2000, math-ph/0002052.

[55]  Amir Dembo,et al.  Large Deviations Techniques and Applications , 1998 .

[56]  Carlo Orrieri,et al.  Large Deviations for Kac-Like Walks , 2021, Journal of Statistical Physics.

[57]  Isabelle Gallagher,et al.  Long-time derivation at equilibrium of the fluctuating Boltzmann equation , 2022, The Annals of Probability.

[58]  M. Pulvirenti,et al.  On the validity of the Boltzmann equation for short range potentials , 2013, 1301.2514.

[59]  Th'eophile Dolmaire,et al.  About Lanford's theorem in the half-space with specular reflection , 2021, Kinetic and Related Models.