Abstract
In this paper we develop high order asymptotic preserving methods for the spatially inhomogeneous quantum Boltzmann equation. We follow the work in Li and Pareschi (J Comput Phys 259:402–420, 2014) where asymptotic preserving exponential Runge–Kutta methods for the classical inhomogeneous Boltzmann equation were constructed. A major difficulty here is related to the non Gaussian steady states characterizing the quantum kinetic behavior. We show that the proposed schemes achieve high-order accuracy uniformly in time for all Planck constants ranging from classical regime to quantum regime, and all Knudsen number ranging from kinetic regime to fluid regime. Computational results are presented for both Bose gas and Fermi gas.
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Notes
Strictly speaking, \(\theta _0=\left( \frac{2\pi \hbar }{mx_0v_0}\right) ^dN\), where \(m\) is the particle mass, \(x_0\) and \(v_0\) are the typical values of length and velocity, \(N\) is the total number of particles.
References
Arlotti, L., Lachowicz, M.: Euler and Navier–Stokes limits of the Uehling–Uhlenbeck quantum kinetic equations. J. Math. Phys. 38, 3571–3588 (1997)
Bennoune, M., Lemou, M., Mieussens, L.: Uniformly stable numerical schemes for the Boltzmann equation preserving the compressible Navier–Stokes asymptotics. J. Comput. Phys. 227, 3781–3803 (2008)
Chapman, S., Cowling, T.G.: The Mathematical Theory of Non-Uniform Gases, 3rd edn. Cambridge University Press, Cambridge (1990)
Degond, P., Jin, S., Mieussens, L.: A smooth transition model between kinetic and hydrodynamic equations. J. Comput. Phys. 209(2), 665–694 (2005)
Dimarco, G., Pareschi, L.: Fluid solver independent hybrid methods for multiscale kinetic equations. SIAM J. Sci. Comput. 32(2), 603–634 (2010)
Dimarco, G., Pareschi, L.: Exponential Runge–Kutta methods for stiff kinetic equations. SIAM J. Numer. Anal. 49(5), 2057–2077 (2011)
Dimarco, G., Pareschi, L.: High order asymptotic-preserving schemes for the Boltzmann equation. Comptes Rendus Mathematique 350, 481–486 (2012)
Filbet, F., Hu, J., Jin, S.: A numerical scheme for the quantum Boltzmann equation with stiff collision terms. ESAIM Math. Model. Numer. Anal. 46, 443–463 (2012)
Filbet, F., Jin, S.: A class of asymptotic-preserving schemes for kinetic equations and related problems with stiff sources. J. Comput. Phys. 229, 7625–7648 (2010)
Gabetta, E., Pareschi, L., Toscani, G.: Relaxation schemes for nonlinear kinetic equations. SIAM J. Numer. Anal. 34, 2168–2194 (1997)
Garcia, A.L., Wagner, W.: Direct simulation Monte Carlo method for the Uehling–Uhlenbeck–Boltzmann equation. Phys. Rev. E 68, 056703 (2003)
Hairer, E., Nørsett, S.P., Wanner, G.: Solving Ordinary Differential Equations I: Nonstiff Problems (Springer Series in Computational Mathematics). Springer, (2010)
Hochbruck, M., Ostermann, A.: Exponential integrators. Acta Numer. 19, 209–286 (2010)
Hu, J., Jin, S.: On kinetic flux vector splitting schemes for quantum Euler equations. Kinet. Relat. Models 4, 517–530 (2011)
Hu, J., Jin, S., Yan, B.: A numerical scheme for the quantum Fokker–Planck–Landau equation efficient in the fluid regime. Commun. Comput. Phys. 12, 1541–1561 (2012)
Hu, J., Ying, L.: A fast spectral algorithm for the quantum Boltzmann collision operator. Commun. Math. Sci. 10, 989–999 (2012)
Jin, S.: Asymptotic preserving (AP) schemes for multiscale kinetic and hyperbolic equations: a review. Riv. Math. Univ. Parma 3, 177–216 (2012)
Jüngel, A.: Transport Equations for Semiconductors. Lecture Notes in Physics, vol. 773. Springer, Berlin (2009)
LeVeque, R.J.: Numerical Methods for Conservation Laws. Lectures in Mathematics ETH Zürich. Birkhäuser Verlag (1992)
Li, Q., Pareschi, L.: Exponential Runge–Kutta for the inhomogeneous Boltzmann equations with high order of accuracy. J. Comput. Phys. 259, 402–420 (2014)
Li, Q., Yang, X.: Exponential Runge–Kutta methods for the multispecies Boltzmann equation. Commun. Comput. Phys. 15, 996–1011 (2014)
Markowich, P., Pareschi, L.: Fast, conservative and entropic numerical methods for the Bosonic Boltzmann equation. Numer. Math. 99, 509–532 (2005)
Markowich, P., Pareschi, L., Bao, W. Quantum kinetic theory: modelling and numerics for Bose–Einstein condensation. In: Modeling and Computational Methods for Kinetic Equations, Modeling and Simulation in Science, Engineering and Technology, Chapter 10, pp 287–320. Birkhauser, (2004)
Markowich, P.A., Ringhofer, C., Schmeiser, C.: Semiconductor Equations. Springer Verlag Wien, New York (1990)
Mouhot, C., Pareschi, L.: Fast algorithms for computing the Boltzmann collision operator. Math. Comput. 75, 1833–1852 (2006)
Nordheim, L.W.: On the kinetic method in the new statistics and its application in the electron theory of conductivity. Proc. R. Soc. Lond. Ser. A 119, 689–698 (1928)
Pareschi, L., Caflisch, R.E.: An implicit Monte Carlo method for rarefied gas dynamics i: the space homogeneous case. J. Comput. Phys. 154, 90–116 (1999)
Pareschi, L., Russo, G.: Implicit-explicit Runge–Kutta schemes and applications to hyperbolic systems with relaxation. J. Sci. Comput. 25(1–2), 129–155 (2005)
Pareschi, L., Russo, G.: Efficient asymptotic preserving deterministic methods for the Boltzmann equation. In: Models and Computational Methods for Rarefied Flows. AVT-194 RTO AVT/VKI, Lecture Series held at the von Karman Institute, Rhode St. Genese, Belgium (2011)
Pathria, R.K., Beale, P.D.: Statistical Mechanics, 3rd edn. Academic Press, London (2011)
Semikoz, D.V., Tkachev, I.I.: Kinetics of Bose condensation. Phys. Rev. Lett. 74, 3093–3097 (1995)
Shu, C.-W.: Essentially Non-Oscillatory and Weighted Essentially Non-Oscillatory Schemes for Hyperbolic Conservation Laws. Technical report, Institute for Computer Applications in Science and Engineering (ICASE) (1997)
Spohn, H.: Kinetics of the Bose–Einstein condensation. Phys. D 239, 627–634 (2010)
Tiwari, S., Klar, A.: An adaptive domain decomposition procedure for Boltzmann and Euler equations. J. Comput. Appl. Math. 90, 223–237 (1998)
Uehling, E.A., Uhlenbeck, G.E.: Transport phenomena in Einstein-Bose and Fermi-Dirac gases. I. Phys. Rev. 43, 552–561 (1933)
Acknowledgments
We would like to express our gratitude to the NSF Grant RNMS11-07444 (KI-Net), and CSCAMM, University of Maryland for holding the conference “Quantum Systems: A Mathematical Journey from Few to Many Particles” in May 2013, during which this work was initiated.
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This work was partially supported by RNMS11-07444 (KI-Net) and by PRIN 2009 project “Advanced numerical methods for kinetic equations and balance laws with source terms”.
Appendix: Derivation of \(\partial _t \mathcal {M}_q\)
Appendix: Derivation of \(\partial _t \mathcal {M}_q\)
In this appendix, we give the details of the derivation of (3.8). Our goal is to represent \(\partial _tz\) and \(\partial _tT\) in Eq. (3.7) in terms of \(\partial _t\rho \) and \(\partial _te\).
First, combining the two equations in system (2.14) gives
Therefore, we define a function \(F(z)\) such that
and a function \(G(y)\) such that
Then we have
For the Bose–Einstein/Fermi–Dirac function, one has the following nice property (see [30])
From the second equation of (2.14) we know
then
Note that
so we have
and
Therefore,
Then if we define \(M(z)\) and \(N(z)\) as in (3.12), (3.8) follows readily from the above equation.
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Hu, J., Li, Q. & Pareschi, L. Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy. J Sci Comput 62, 555–574 (2015). https://doi.org/10.1007/s10915-014-9869-2
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DOI: https://doi.org/10.1007/s10915-014-9869-2