Skip to main content
Erschienen in: Mathematical Models and Computer Simulations 2/2020

01.03.2020

Stochastic Magnetic Hydrodynamic Hierarchy in a Strong External Magnetic Field

verfasst von: S. V. Bogomolov, N. B. Esikova

Erschienen in: Mathematical Models and Computer Simulations | Ausgabe 2/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Based on a stochastic microscopic collisional model of the motion of charged particles in a strong external magnetic field, a hierarchy of equations of magnetic hydrodynamics is constructed. The transition to increasingly rough approximations occurs in accordance with a decrease in the dimensioning parameter, similar to the Knudsen number in gas dynamics. The result is stochastic and nonrandom macroscopic equations that differ from the magnetic analog of the Navier–Stokes system of equations, as well as from the systems of magnetic quasi-hydrodynamics. The main feature of this derivation is more accurate velocity averaging due to the analytical solution of stochastic differential equations with respect to the Wiener measure, in the form of which the intermediate meso model is presented in the phase space. This approach differs significantly from the traditional one, which uses not the random process itself but its distribution function. Emphasis is placed on the clarity of assumptions when moving from one level of detail to another, and not on numerical experiments that contain additional approximation errors.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat B. N. Chetverushkin, N. D’Ascenzo, A. V. Saveliev, and V. I. Saveliev, “A kinetic model for magnetogasdynamics,” Math. Models Comput. Simul. 9, 544–553 (2017).MathSciNetCrossRef B. N. Chetverushkin, N. D’Ascenzo, A. V. Saveliev, and V. I. Saveliev, “A kinetic model for magnetogasdynamics,” Math. Models Comput. Simul. 9, 544–553 (2017).MathSciNetCrossRef
2.
Zurück zum Zitat B. N. Chetverushkin, N. D’Ascenzo, A. V. Saveliev, and V. I. Saveliev, “Kinetic model and magnetogasdynamics equations,” Comput. Math. Math. Phys. 58, 691–699 (2018).MathSciNetCrossRef B. N. Chetverushkin, N. D’Ascenzo, A. V. Saveliev, and V. I. Saveliev, “Kinetic model and magnetogasdynamics equations,” Comput. Math. Math. Phys. 58, 691–699 (2018).MathSciNetCrossRef
3.
Zurück zum Zitat B. N. Chetverushkin, A V. Saveliev, and V. I. Saveliev, “A quasi-gasdynamic model for the description of magnetogasdynamic phenomena,” Comput. Math. Math. Phys. 58, 1384–1394 (2018).MathSciNetCrossRef B. N. Chetverushkin, A V. Saveliev, and V. I. Saveliev, “A quasi-gasdynamic model for the description of magnetogasdynamic phenomena,” Comput. Math. Math. Phys. 58, 1384–1394 (2018).MathSciNetCrossRef
4.
Zurück zum Zitat A. A. Samarskii, A. V. Zaharov, and A. G. Sveshnikov, “Calculation of the motion of a charged beam of large particles taking into account the intrinsic space charge of the beam,” Dokl. Akad. Nauk 197, 554–557 (1971). A. A. Samarskii, A. V. Zaharov, and A. G. Sveshnikov, “Calculation of the motion of a charged beam of large particles taking into account the intrinsic space charge of the beam,” Dokl. Akad. Nauk 197, 554–557 (1971).
5.
Zurück zum Zitat V. I. Kolobov, R. R. Arslanbekov, V. V. Aristov, A. A. Frolova, and S. A. Zabelok, “Unified solver for rarefied and continuum flows with adaptive mesh and algorithm refinement,” J. Comput. Phys. 223, 589–608 (2007).CrossRef V. I. Kolobov, R. R. Arslanbekov, V. V. Aristov, A. A. Frolova, and S. A. Zabelok, “Unified solver for rarefied and continuum flows with adaptive mesh and algorithm refinement,” J. Comput. Phys. 223, 589–608 (2007).CrossRef
6.
Zurück zum Zitat V. I. Bogachev, N. V. Krylov, M. Rekner, and S. V. Shaposhnikov, Fokker-Planck-Kolmogorov Equations (Regulyar. Khaotich. Dinamika, Moscow, Izhevsk, 2013) [in Russian]. V. I. Bogachev, N. V. Krylov, M. Rekner, and S. V. Shaposhnikov, Fokker-Planck-Kolmogorov Equations (Regulyar. Khaotich. Dinamika, Moscow, Izhevsk, 2013) [in Russian].
7.
Zurück zum Zitat Ya. B. Zel’dovich, S. A. Molchanov, A. A. Ruzmaikin, and D. D. Sokolov, “Intermittency in random media,” Sov. Phys. Usp. 30, 353–369 (1987).MathSciNetCrossRef Ya. B. Zel’dovich, S. A. Molchanov, A. A. Ruzmaikin, and D. D. Sokolov, “Intermittency in random media,” Sov. Phys. Usp. 30, 353–369 (1987).MathSciNetCrossRef
8.
Zurück zum Zitat M. H. Gorji and P. Jenny, “Fokker-Planck-DSMC algorithm for simulations of rarefied gas flows,” J. Comput. Phys. 287, 110–129 (2015).MathSciNetCrossRef M. H. Gorji and P. Jenny, “Fokker-Planck-DSMC algorithm for simulations of rarefied gas flows,” J. Comput. Phys. 287, 110–129 (2015).MathSciNetCrossRef
9.
Zurück zum Zitat J. Zhang, D. Zeng, and J. Fan, “Analysis of transport properties determined by Langevin dynamics using Green-Kubo formulae,” Phys. A (Amsterdam, Neth.) 411, 104–112 (2014). J. Zhang, D. Zeng, and J. Fan, “Analysis of transport properties determined by Langevin dynamics using Green-Kubo formulae,” Phys. A (Amsterdam, Neth.) 411, 104–112 (2014).
10.
Zurück zum Zitat M. F. Ivanov and V. A. Galburt, “Stochastic approach to numerical solution of Fokker–Planck equations,” Mat. Model. 20 (11), 3–27 (2008).MathSciNetMATH M. F. Ivanov and V. A. Galburt, “Stochastic approach to numerical solution of Fokker–Planck equations,” Mat. Model. 20 (11), 3–27 (2008).MathSciNetMATH
11.
Zurück zum Zitat V. K. Gupta and M. Torrilhon, “Comparison of relaxation phenomena in binary gas-mixtures of Maxwell molecules and hard spheres,” Comput. Math. Appl. 70, 73–88 (2015).MathSciNetCrossRef V. K. Gupta and M. Torrilhon, “Comparison of relaxation phenomena in binary gas-mixtures of Maxwell molecules and hard spheres,” Comput. Math. Appl. 70, 73–88 (2015).MathSciNetCrossRef
12.
Zurück zum Zitat S. V. Bogomolov, “An approach to deriving stochastic gas dynamics models,” Dokl. Math. 78, 929–931 (2008).MathSciNetCrossRef S. V. Bogomolov, “An approach to deriving stochastic gas dynamics models,” Dokl. Math. 78, 929–931 (2008).MathSciNetCrossRef
13.
Zurück zum Zitat A. V. Skorokhod, Stochastic Equations for Complex Systems (Kluwer Academic, Dordrecht, 1987; Nauka, Moscow, 1983). A. V. Skorokhod, Stochastic Equations for Complex Systems (Kluwer Academic, Dordrecht, 1987; Nauka, Moscow, 1983).
14.
Zurück zum Zitat A. A. Arsen’yev, “On the approximation of the solution of the Boltzmann equation by solutions of the Ito stochastic differential equations,” Zh. Vychisl. Mat. Mat. Fiz. 27, 400–410 (1987).MathSciNet A. A. Arsen’yev, “On the approximation of the solution of the Boltzmann equation by solutions of the Ito stochastic differential equations,” Zh. Vychisl. Mat. Mat. Fiz. 27, 400–410 (1987).MathSciNet
15.
Zurück zum Zitat S. V. Bogomolov, “On Fokker-Planck model for the Boltzmann collision integral at the moderate Knudsen numbers,” Math. Models Comput. Simul. 1, 739–744 (2009).MathSciNetCrossRef S. V. Bogomolov, “On Fokker-Planck model for the Boltzmann collision integral at the moderate Knudsen numbers,” Math. Models Comput. Simul. 1, 739–744 (2009).MathSciNetCrossRef
16.
Zurück zum Zitat S. V. Bogomolov and L. V. Dorodnitsyn, “Equations of stochastic quasi-gas dynamics: viscous gas case,” Math. Models Comput. Simul. 3, 457–467 (2011).MathSciNetCrossRef S. V. Bogomolov and L. V. Dorodnitsyn, “Equations of stochastic quasi-gas dynamics: viscous gas case,” Math. Models Comput. Simul. 3, 457–467 (2011).MathSciNetCrossRef
17.
Zurück zum Zitat S. V. Bogomolov, “Stochastic quasi gas dynamics equations as a base for particle methods,” in Proceedings of the 5th European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010, Lisbon, Portugal,2010. S. V. Bogomolov, “Stochastic quasi gas dynamics equations as a base for particle methods,” in Proceedings of the 5th European Conference on Computational Fluid Dynamics ECCOMAS CFD 2010, Lisbon, Portugal,2010.
18.
19.
Zurück zum Zitat J. G. Kirkwood, “The statistical mechanical theory of transport processes,” J. Chem. Phys. 14, 180–201 (1946).CrossRef J. G. Kirkwood, “The statistical mechanical theory of transport processes,” J. Chem. Phys. 14, 180–201 (1946).CrossRef
20.
Zurück zum Zitat C. Cercignani, Rarefied Gas Dynamics: From Basic Concepts to Actual Calculations (Cambridge Univ. Press, Cambridge, 2000).MATH C. Cercignani, Rarefied Gas Dynamics: From Basic Concepts to Actual Calculations (Cambridge Univ. Press, Cambridge, 2000).MATH
21.
Zurück zum Zitat A. V. Skorokhod, Stochastic Equations for Complex Systems (Nauka, Moscow, 1983; Kluwer Academic, Dordrecht, 1987. A. V. Skorokhod, Stochastic Equations for Complex Systems (Nauka, Moscow, 1983; Kluwer Academic, Dordrecht, 1987.
22.
Zurück zum Zitat S. V. Bogomolov and I. G. Gudich, “Diffusion model of gas in a phase space for moderate Knudsen numbers,” Math. Models Comput. Simul. 5, 130–144 (2013).MathSciNetCrossRef S. V. Bogomolov and I. G. Gudich, “Diffusion model of gas in a phase space for moderate Knudsen numbers,” Math. Models Comput. Simul. 5, 130–144 (2013).MathSciNetCrossRef
23.
Zurück zum Zitat S. V. Bogomolov and I. G. Gudich, “Verification of a stochastic diffusion gas model,” Math. Models Comput. Simul. 6, 305–316 (2014).MathSciNetCrossRef S. V. Bogomolov and I. G. Gudich, “Verification of a stochastic diffusion gas model,” Math. Models Comput. Simul. 6, 305–316 (2014).MathSciNetCrossRef
24.
Zurück zum Zitat S. V. Bogomolov, N. B. Esikova, and A. E. Kuvshinnikov, “Micro-macro Kolmogorov-Fokker-Planck models for a hard-sphere gas,” Math. Models Comput. Simul. 8, 533–547 (2016).MathSciNetCrossRef S. V. Bogomolov, N. B. Esikova, and A. E. Kuvshinnikov, “Micro-macro Kolmogorov-Fokker-Planck models for a hard-sphere gas,” Math. Models Comput. Simul. 8, 533–547 (2016).MathSciNetCrossRef
25.
Zurück zum Zitat S. V. Bogomolov, N. B. Esikova, and A. E. Kuvshinnikov, “Meso - macro models for a hard sphere gas,” in Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016), European Community on Computational Methods in Applied Sciences (ECCOMAS), Crete Island, Greece,2016, Vol. 2, pp. 3121–3138. S. V. Bogomolov, N. B. Esikova, and A. E. Kuvshinnikov, “Meso - macro models for a hard sphere gas,” in Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016), European Community on Computational Methods in Applied Sciences (ECCOMAS), Crete Island, Greece,2016, Vol. 2, pp. 3121–3138.
26.
Zurück zum Zitat B. N. Chetverushkin, “Resolution limits of continuous media mode and their mathematical formulations,” Math. Models Comput. Simul. 5, 266–279 (2013).MathSciNetCrossRef B. N. Chetverushkin, “Resolution limits of continuous media mode and their mathematical formulations,” Math. Models Comput. Simul. 5, 266–279 (2013).MathSciNetCrossRef
27.
Zurück zum Zitat T. G. Elizarova, Quasi-Gas Dynamic Equations (Nauchnyi Mir, Moscow, 2007; Springer, 2009). T. G. Elizarova, Quasi-Gas Dynamic Equations (Nauchnyi Mir, Moscow, 2007; Springer, 2009).
28.
Zurück zum Zitat H. Brenner, “Bi-velocity hydrodynamics,” Phys. A (Amsterdam, Neth.) 388, 3391–3398 (2009). H. Brenner, “Bi-velocity hydrodynamics,” Phys. A (Amsterdam, Neth.) 388, 3391–3398 (2009).
29.
Zurück zum Zitat J. Mathiaud and L. Mieussens, “A Fokker-Planck model of the Boltzmann equation with correct Prandtl number,” arXiv: math.AP/1503.01246 (2015). J. Mathiaud and L. Mieussens, “A Fokker-Planck model of the Boltzmann equation with correct Prandtl number,” arXiv: math.AP/1503.01246 (2015).
30.
Zurück zum Zitat K. Morinishi, “A continuum/kinetic hybrid approach for multi-scale flow,” in Proceedings of the ECCOMAS CFD 2006, Egmond an Zee, Netherlands,2006. K. Morinishi, “A continuum/kinetic hybrid approach for multi-scale flow,” in Proceedings of the ECCOMAS CFD 2006, Egmond an Zee, Netherlands,2006.
31.
Zurück zum Zitat B. Oksendal, Stochastic Differential Equations, 6th ed. (Springer, Berlin, 2000). B. Oksendal, Stochastic Differential Equations, 6th ed. (Springer, Berlin, 2000).
32.
Zurück zum Zitat S. K. Dadzie and J. M. Reese, “A Fokker-Planck model of the Boltzmann equation with correct Prandtl number,” arXiv: mathph/1202.3169 (2011). S. K. Dadzie and J. M. Reese, “A Fokker-Planck model of the Boltzmann equation with correct Prandtl number,” arXiv: mathph/1202.3169 (2011).
33.
Zurück zum Zitat S. S. Stepanov, Stochastic World (Electron. Vers., 2011; Springer Int., Switzerland, 2013). http://synset.com/pdf/ito.pdf. S. S. Stepanov, Stochastic World (Electron. Vers., 2011; Springer Int., Switzerland, 2013). http://​synset.​com/​pdf/​ito.​pdf.​
Metadaten
Titel
Stochastic Magnetic Hydrodynamic Hierarchy in a Strong External Magnetic Field
verfasst von
S. V. Bogomolov
N. B. Esikova
Publikationsdatum
01.03.2020
Verlag
Pleiades Publishing
Erschienen in
Mathematical Models and Computer Simulations / Ausgabe 2/2020
Print ISSN: 2070-0482
Elektronische ISSN: 2070-0490
DOI
https://doi.org/10.1134/S2070048220020039

Weitere Artikel der Ausgabe 2/2020

Mathematical Models and Computer Simulations 2/2020 Zur Ausgabe