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Particle Approximation of the BGK Equation

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Abstract

In this paper we prove the convergence of a suitable particle system towards the BGK model. More precisely, we consider an interacting stochastic particle system in which each particle can instantaneously thermalize locally. We show that, under a suitable scaling limit, propagation of chaos does hold and the one-particle distribution function converges to the solution of the BGK equation.

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Notes

  1. This means that f solves the integral equation,

    $$\begin{aligned} f(x,v,t) = \mathrm {e}^{-t} f_0(x-vt,v) + \int _0^t\!\mathrm {d}s\, \mathrm {e}^{-(t-s)} (\varrho _f M_f) (x-v(t-s),v,s)\,, \end{aligned}$$

    which formally derives from Eq. (2.2) via Duhamel formula.

  2. If \(\mu \) and \(\nu \) are two probability measures on a metric space (Md) with finite second moment, the 2-Wasserstein distance between \(\mu \) and \(\nu \) is defined as

    $$\begin{aligned} {\mathcal W}_2(\mu ,\nu ) = \left( \inf _{\gamma \in {\mathcal P}(\mu ,\nu )} \int _{M\times M}\!\mathrm {d}\gamma (x,x')\, d(x,x')^2\right) ^{1/2}, \end{aligned}$$

    where \({\mathcal P}(\mu ,\nu )\) denotes the collection of all measures on \(M\times M\) with marginals \(\mu \) and \(\nu \). Here, \(M=({\mathbb T}^d)^j\times ({\mathbb R}^d)^j\) and \({\mathcal W}_2\big (f_j^N(t), g(t)^{\otimes j}\big )\) denotes the 2-Wasserstein distance between the probability measures with densities \(f_j^N(t)\) and \(g(t)^{\otimes j}\) respectively.

  3. This process is called non-linear since its generator is implicitly defined through the law of the process itself, see Eq. (3.1) further on.

References

  1. Bhatnagar, P.L., Gross, E.P., Krook, M.: A model for collision processes in gases. I. Small amplitude processes in charged and neutral one-component systems. Phys. Rev 94, 511–525, 1954

    Article  ADS  Google Scholar 

  2. Cercignani, C., Illner, R., Pulvirenti, M.: The Mathematical Theory of Dilute Gases. Applied Mathematical Sciences, vol. 106. Springer, New York 1994

    Book  Google Scholar 

  3. Greenberg, W., Polewczak, J.: A global existence theorem for the nonlinear BGK equation. J. Stat. Phys. 55, 1313–1321, 1989

    Article  ADS  MathSciNet  Google Scholar 

  4. Mustafa, D., Wennberg, B.: The BGK Equation as the Limit of an N–Particle System. J. Stat. Phys. 181, 715–737 (2020)

  5. Olkin, I., Pukelsheim, F.: The distance between two random vectors with given dispersion matrices. Linear Algebra Appl. 48, 25–263, 1982

    Article  MathSciNet  Google Scholar 

  6. Perthame, B.: Global existence to the BGK model of Boltzmann equation. J. Differ. Eq. 82, 191–205, 1989

    Article  ADS  MathSciNet  Google Scholar 

  7. Perthame, B., Pulvirenti, M.: Weighted \(L^\infty \) bounds and uniqueness for the Boltzmann BGK model. Arch. Ration. Mech. Anal. 125, 289–295, 1993

    Article  MathSciNet  Google Scholar 

  8. Saint-Raymond, L.: From the BGK model to the Navier–Stokes equations. Ann. Sci. École Norm. Sup. 36, 271–317, 2003

    Article  MathSciNet  Google Scholar 

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Acknowledgements

The authors are very grateful to the anonymous referees for their valuable comments and suggestions which allowed several improvements to this work.

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Correspondence to Paolo Buttà.

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Proof of Proposition 2.2

Proof of Proposition 2.2

We first observe that the smeared fields, defined in Eqs. (2.9), (2.10), and (2.11), coincide with the usual hydrodynamical fields associated to the smeared distribution function \(g^\varphi (x,v) := \int \!\mathrm {d}y\, \varphi (x-y) g(y,v)\), i.e.,

$$\begin{aligned} \varrho _g^\varphi = \varrho _{g^\varphi }\,, \quad \varrho _g^\varphi u_g^\varphi = \varrho _{g^\varphi } u_{g^\varphi }\,, \quad \varrho _g^\varphi T_g^\varphi = \varrho _{g^\varphi } T_{g^\varphi }\,. \end{aligned}$$

Therefore, according to [7, Proposition 2.1], we find the following pointwise estimates for \(\rho _g^\varphi \), \(u_g^\varphi \), and \(T_g^\varphi \):

$$\begin{aligned}&\text {(i) } \frac{\rho ^\varphi }{ (T^\varphi )^{d/2}} \le C N_0( g^\varphi )\,; \\&\text {(ii) } \rho ^\varphi ( T^\varphi +(u^\varphi )^2)^{ (q-d)/2} \le C_q N_q (g^\varphi )\text { either for } q> d+2 \text { or for }0\le q <d \,; \\&\text {(iii) } \frac{\rho ^\varphi |u^\varphi |^{d+q}}{[ T^\varphi +(u^\varphi )^2) T^\varphi ]^{d/2} } \le C_q N_q (g^\varphi )\text { for }q>1 \,. \end{aligned}$$

In the above, \(C,C_q\) are constants independent of \(\varphi \) and

$$\begin{aligned} N_q(f) = \sup _v |v|^q f(v)\,, \quad q\ge 0 \end{aligned}$$

for a given positive function f.

As a consequence, following [7], we infer that

$$\begin{aligned} \sup _v |v|^q M_g^{\varphi } (x,v) \le C_q N_q( g^\varphi ), \end{aligned}$$

and hence, writing the equation for g in mild form and recallig Eq. (2.17), we obtain

$$\begin{aligned} {\mathcal N}_q(g(t)) \le {\mathcal N}_q(f_0)+C_q\int _0^t\!\mathrm {d}s\, {\mathcal N}_q( g^\varphi (s))\,. \end{aligned}$$

The a priori bound \({\mathcal N}_q(g(t)) \le {\mathcal N}_q(f_0) \exp (C_q t)\) follows by the obvious inequality \( N_q( g^\varphi (s)) \le N_q( g (s))\) and the Grönwall’s lemma.

Provided with this estimate, by arguing exactly as in the proof of [7, Theorem 3.1], we construct the solution g(t) by establishing the Lipschitz continuity of the operator \(g \rightarrow \rho _g^\varphi M_g^{\varphi } -g\) in \(L^1( (1+v^2) \mathrm {d}x \mathrm {d}v)\) and using the standard iteration scheme. Moreover, exactly as in [7], the bounds (2.18), (2.19), and (2.20) follow from this construction and the previous a priori estimates.

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Buttà, P., Hauray, M. & Pulvirenti, M. Particle Approximation of the BGK Equation. Arch Rational Mech Anal 240, 785–808 (2021). https://doi.org/10.1007/s00205-021-01621-y

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