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On Probabilistic Analytical and Numerical Approaches for Divergence Form Operators with Discontinuous Coefficients

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Advances in Numerical Simulation in Physics and Engineering

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Abstract

In this paper we review some recent results on stochastic analytical and numerical approaches to parabolic and elliptic partial differential equations involving a divergence form operator with a discontinuous coefficient and a compatibility transmission condition.

In the one-dimensional case existence and uniqueness results for such PDEs can be obtained by stochastic methods. The probabilistic interpretation of the solutions allows one to develop and analyze a low complexity Monte Carlo numerical resolution method. In addition, it allows to get accurate pointwise estimates for the derivatives of the solutions from which sharp convergence rate estimates are deduced for the stochastic numerical method.

A stochastic approach is also developed for the linearized Poisson–Boltzmann equation in Molecular Dynamics. As in the one-dimensional case, the probabilistic interpretation of the solution involves the solution of a SDE including a non standard local time term related to the discontinuity interface. We present an extended Feynman–Kac formula for the Poisson–Boltzmann equation. This formula justifies various probabilistic numerical methods to approximate the free energy of a molecule and bases error analyzes.

We finally present probabilistic interpretations of the non-linearized Poisson–Boltzmann equation in terms of backward stochastic differential equations.

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References

  1. Bass, R.F.: Diffusions and Elliptic Operators. Springer, New York (1998)

    MATH  Google Scholar 

  2. Bass, R.F., Chen, Z.Q.: Stochastic differential equations for Dirichlet processes. Probab. Theory Relat. Fields 121(3), 422–446 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Bernardin, F., Bossy, M., Martinez, M., Talay, D.: On mean discounted numbers of passage times in small balls of Itô processes observed at discrete times. Electron. Commun. Probab. 14, 302–316 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  4. Bossy, M., Champagnat, N., Maire, S., Talay, D.: Probabilistic interpretation and random walk on spheres algorithms for the Poisson-Boltzmann equation in molecular dynamics. ESAIM:M2AN Math. Model. Numer. Anal. 44(5), 997–1048 (2010)

    Google Scholar 

  5. Champagnat, N., Perrin, N., Talay, D.: (in preparation)

    Google Scholar 

  6. Chen, L., Holst, M.J., Xu, J.: The finite element approximation of the nonlinear Poisson-Boltzmann equation. SIAM J. Numer. Anal. 45(6), 2298–2320 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  7. Étoré, P.: On random walk simulation of one-dimensional diffusion processes with discontinuous coefficients. Electron. J. Probab. 11(9), 249–275 (2006)

    MathSciNet  Google Scholar 

  8. Étoré, P., Lejay, A.: A Donsker theorem to simulate one-dimensional processes with measurable coefficients. ESAIM Probab. Stat. 11(9), 301–326 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  9. Friedman, A.: Stochastic Differential Equations and Applications. Dover, Mineola (2006)

    MATH  Google Scholar 

  10. Fukushima, M., Oshima, Y., Takeda, M.: Dirichlet forms and symmetric Markov processes. In: de Gruyter Studies in Mathematics, vol. 19. (Walter) de Gruyter, Berlin (2011)

    Google Scholar 

  11. Graham, C., Talay, D.: Stochastic simulation and Monte Carlo methods, mathematical foundations of stochastic simulation. In: Stochastic Modelling and Applied Probability, vol. 68. Springer, Heildeberg (2013)

    Google Scholar 

  12. Ladyzenskaya, O.A., Solonnikov, V.A., Uralćeva, N.N.: Linear and quasi-linear equations of parabolic type. In: Translations of Mathematical Monographs, vol. 23. American Mathematical Society, Providence (1967)

    Google Scholar 

  13. Le Gall, J.-F.: One-dimensional stochastic differential equations involving the local times of the unknown process. In: Proceedings stochastic analysis and applications (Swansea, 1983). Lecture Notes in Mathematics, vol. 1095, pp. 51–82. Springer, Berlin (1984)

    Google Scholar 

  14. Lejay, A., Martinez, M.: A scheme for simulating one-dimensional diffusions with discontinuous coefficients. Ann. Appl. Probab. 16(1), 107–139 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  15. Martinez, M., Talay, D.: One-dimensional parabolic diffraction equations: pointwise estimates and discretization of related stochastic differential equations with weighted local times. Electron. J. Probab. 17(27), 1–30 (2012)

    MathSciNet  Google Scholar 

  16. Mascagni, M., Simonov, N.A.: Monte Carlo method for calculating the electrostatic energy of a molecule. In: Computational science—ICCS 2003, Part I. Lecture Notes in Computur Science, vol. 2657, pp. 63–72. Springer, Berlin (2003)

    Google Scholar 

  17. Niklitschek-Soto, S., Talay, D.: (in preparation)

    Google Scholar 

  18. Pardoux, É.: Backward stochastic differential equations and viscosity solutions of systems of semilinear parabolic and elliptic PDEs of second order. In: Decreusefond, L., Gjerde, J., Øksendal, B., Üstünel, A.S. (eds.) Stochastic Analysis and Related Topics: The Geilo Workshop, (1996). Birkhäuser, Boston (1998)

    Google Scholar 

  19. Pauwels, E.J.: Smooth first-passage densities for one-dimensional diffusions. J. Appl. Probab. 24(2), 370–377 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  20. Peskir, G.: A change-of-variable formula with local time on curves. J. Theoret. Probab. 18(3), 499–535 (2005)

    MATH  MathSciNet  Google Scholar 

  21. Revuz, D., Yor, M.: Continuous Martingales and Brownian Motion. Springer, Berlin (1999)

    Book  MATH  Google Scholar 

  22. Rozkosz, A.: Weak convergence of diffusions corresponding to divergence form operators. Stoch. Stoch. Rep. 57(1–2), 129–157 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  23. Stroock, D.W.: Diffusion semi-groups corresponding to uniformly elliptic divergence form operators (I): Aronson’s estimate for elliptic operators in divergence form. In: Séminaire de probabilités XXII. Lecture Notes in Mathematics, vol. 1321, pp. 316–347. Springer, Berlin (1988)

    Google Scholar 

  24. Talay, D.: Probabilistic numerical methods for partial differential equations: elements of analysis. In: Talay, D., Tubaro, L. (eds.) Probabilistic Models for Nonlinear Partial Differential Equations and Numerical Applications. Lecture Notes in Mathematics, vol. 1627, pp. 148–196. Springer, Berlin (1996)

    Chapter  Google Scholar 

  25. Yan, L.: The Euler scheme with irregular coefficients. Ann. Probab. 30(3), 1172–1194 (2002)

    MATH  MathSciNet  Google Scholar 

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Correspondence to Denis Talay .

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Talay, D. (2014). On Probabilistic Analytical and Numerical Approaches for Divergence Form Operators with Discontinuous Coefficients. In: Parés, C., Vázquez, C., Coquel, F. (eds) Advances in Numerical Simulation in Physics and Engineering. SEMA SIMAI Springer Series, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-02839-2_7

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