Skip to main content

Stochastic Simulations of Diffusion Processes

  • Chapter
  • First Online:
  • 559 Accesses

Part of the book series: Geosystems Mathematics ((GSMA))

Abstract

Random sequences, their numerical simulation, and convergence properties are shortly introduced as basic tools in solving stochastic differential equations. Strong and weak solutions of Itô equations will be defined and illustrated for the Euler scheme. The global random walk (GRW) algorithm will be introduced as a superposition of arbitrarily large numbers of Euler schemes on regular lattices. Unbiased and biased GRW algorithms will be described and their relation to Fokker–Planck and Itô equations will be discussed.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Benson, D.A., Meerschaert, M.M.: Simulation of chemical reaction via particle tracking: diffusion-limited versus thermodynamic rate-limited regimes. Water Resour. Res. 44(12), W12201 (2008)

    Article  Google Scholar 

  2. Brunner, F., Radu, F.A., Bause, M., Knabner, P.: Optimal order convergence of a modified BDM1 mixed finite element scheme for reactive transport in porous media. Adv. Water Resour. 35, 163–171 (2012)

    Article  Google Scholar 

  3. Cortis, A., Berkowitz, B.: Computing “anomalous” contaminant transport in porous media: the CTRW MATLAB toolbox. Ground Water 43(6), 947–950 (2005)

    Article  Google Scholar 

  4. Cortis, A., Knudby, C.: A continuous time random walk approach to transient flow in heterogeneous porous media. Water Resour. Res. 42(10), W10201 (2006)

    Article  Google Scholar 

  5. Dagan, G.: Theory of solute transport by groundwater. Water Resour. Res. 19, 183–215 (1987)

    MATH  Google Scholar 

  6. Doob, J.L.: Stochastic Processes. Wiley, New York (1990)

    MATH  Google Scholar 

  7. Eberhard, J.P., Suciu, N., Vamos, C.: On the self-averaging of dispersion for transport in quasi-periodic random media. J. Phys. A: Math. Gen. 40(4), 597–610 (2007)

    Article  MathSciNet  Google Scholar 

  8. Edery, Y., Scher, H., Berkowitz, B.: Particle tracking model of bimolecular reactive transport in porous media. Water Resour. Res. 46(7), W07524 (2010)

    Article  Google Scholar 

  9. El Haddad, R., Lécot, C., Venkiteswaran, G.: Diffusion in a nonhomogeneous medium: quasi-random walk on a lattice. Monte Carlo Methods Appl. 16, 211–230 (2010)

    Article  MathSciNet  Google Scholar 

  10. Gardiner, C.W.: Stochastic Methods. Springer, Berlin (2009)

    MATH  Google Scholar 

  11. Izsák, F., Lagzi, I.: Models of Liesegang pattern formation. In: Lagzi, I. (ed.) Precipitation Patterns in Reaction-Diffusion Systems, pp. 207–217. Research Signpost, Kerala (2010)

    Google Scholar 

  12. Karapiperis, T.: Cellular automaton model of precipitation/dissolution coupled with solute transport. J. Stat. Phys. 81(1–2), 165–180 (1995)

    Article  Google Scholar 

  13. Karapiperis, T., Blankleider, B.: Cellular automaton model of reaction-transport processes. Physica D 78, 30–64 (1994)

    Article  Google Scholar 

  14. Kloeden, P.E., Platen, E.: Numerical Solutions of Stochastic Differential Equations. Springer, Berlin (1999)

    MATH  Google Scholar 

  15. Kozma, G., Tóth, B.: Central limit theorem for random walks in divergence-free random drift field: \(\mathscr {H}_{-1}\) suffices. Ann. Probab. 45(6b), 4307–4347 (2017)

    Article  MathSciNet  Google Scholar 

  16. Lécot, C., Coulibaly, I.: A particle method for some parabolic equations, J. Comput. Appl. Math. 90, 25–44 (1998)

    Article  MathSciNet  Google Scholar 

  17. Nagy, N., Izsák, F.: Stability of reaction fronts in random walk simulations. Appl. Math. Res. eXpress 2012(1), 114–126 (2011)

    Article  MathSciNet  Google Scholar 

  18. Papoulis, A., Pillai, S.U.: Probability, Random Variables and Stochastic Processes. McGraw-Hill, Singapore (2002)

    Google Scholar 

  19. Radu, F.A., Suciu, N., Hoffmann, J., Vogel, A., Kolditz, O., Park, C.-H., Attinger, S.: Accuracy of numerical simulations of contaminant transport in heterogeneous aquifers: a comparative study. Adv. Water Resour. 34, 47–61 (2011)

    Article  Google Scholar 

  20. Strikwerda, J.C.: Finite Difference Schemes and Partial Differential Equations. Wadsworth & Brooks, Pacific Grove (2004)

    Google Scholar 

  21. Suciu, N.: Global random walk algorithm for transport in media with discontinuous dispersion coefficients. Geophys. Res. Abstr. 15, EGU2013-12751-1 (2013)

    Google Scholar 

  22. Suciu, N.: Diffusion in random velocity fields with applications to contaminant transport in groundwater. Adv. Water. Resour. 69, 114–133 (2014)

    Article  Google Scholar 

  23. Suciu, N., Vamoş, C.: Evaluation of overshooting errors in particle methods for diffusion by biased global random walk. Rev. Anal. Numer. Theor. Approx. 35, 119–126 (2006)

    MathSciNet  MATH  Google Scholar 

  24. Suciu, N., Vamoş, C., Vanderborght, J., Hardelauf, H., Vereecken, H.: Numerical modeling of large scale transport of contaminant solutes using the global random walk algorithm. Monte Carlo Methods Appl. 10(2), 153–177 (2004)

    Article  MathSciNet  Google Scholar 

  25. Suciu, N., Vamoş, C., Knabner, P., Ruede, U.: Biased global random walk, a cellular automaton for diffusion. In: Hülsemann, F., Kowarschik, M., Rude, U. (eds.) Simulations technique, 18th Symposium in Erlangen, pp. 562–567. SCS Publishing House e. V., Erlangen (2005)

    Google Scholar 

  26. Suciu, N., Vamoş, C., Vanderborght, J., Hardelauf, H., Vereecken, H.: Numerical investigations on ergodicity of solute transport in heterogeneous aquifers. Water Resour. Res. 42, W04409 (2006)

    MATH  Google Scholar 

  27. Suciu N., Vamoş, C., Eberhard, J.: Evaluation of the first-order approximations for transport in heterogeneous media. Water Resour. Res. 42, W11504 (2006)

    Google Scholar 

  28. Suciu N., Vamos, C., Vereecken, H., Sabelfeld, K., Knabner, P.: Memory effects induced by dependence on initial conditions and ergodicity of transport in heterogeneous media. Water Resour. Res. 44, W08501 (2008)

    Article  Google Scholar 

  29. Suciu, N., Vamoş, C., Turcu, I., Pop, C.V.L., Ciortea, L.I.: Global random walk modeling of transport in complex systems. Comput. Vis. Sci. 12, 77–85 (2009)

    Article  MathSciNet  Google Scholar 

  30. Suciu, N., Radu, F.A., Prechtel, A., Knabner, P.: A coupled finite element-global random walk approach to advection-dominated transport in porous media with random hydraulic conductivity. J. Comput. Appl. Math. 246, 27–37 (2013)

    Article  MathSciNet  Google Scholar 

  31. Vamoş, C., Suciu, N., Vereecken, H.: Generalized random walk algorithm for the numerical modeling of complex diffusion processes. J. Comput. Phys. 186(2), 527–544 (2003)

    Article  MathSciNet  Google Scholar 

  32. Vamoş, C., Şoltuz, Ş., Crăciun, M.: (2007). arXiv:079.2963vl [physics.data-an]

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Suciu, N. (2019). Stochastic Simulations of Diffusion Processes. In: Diffusion in Random Fields . Geosystems Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-15081-5_3

Download citation

Publish with us

Policies and ethics