Abstract
We propose multigrid methods for convergent mixed finite difference discretization for the two dimensional Monge–Ampère equation. We apply mixed standard 7-point stencil and semi-Lagrangian wide stencil discretization, such that the numerical solution is guaranteed to converge to the viscosity solution of the Monge–Ampère equation. We investigate multigrid methods for two scenarios. The first scenario considers applying standard 7-point stencil discretization on the entire computational domain. We use full approximation scheme with four-directional alternating line smoothers. The second scenario considers the more general mixed stencil discretization and is used for the linearized problem. We propose a coarsening strategy where wide stencil points are set as coarse grid points. Linear interpolation is applied on the entire computational domain. At wide stencil points, injection as the restriction yields a good coarse grid correction. Numerical experiments show that the convergence rates of the proposed multigrid methods are mesh-independent.
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Akian, M., Séquier, P., Sulem, A.: A finite horizon multidimensional portfolio selection problem with singular transactions. In: Decision and Control, 1995., Proceedings of the 34th IEEE Conference on, vol. 3, pp. 2193–2198. IEEE (1995)
Akian, M., Sulem, A., Taksar, M.I.: Dynamic optimization of long-term growth rate for a portfolio with transaction costs and logarithmic utility. Math. Finance 11(2), 153–188 (2001). doi:10.1111/1467-9965.00111
Azimzadeh, P., Forsyth, P.A.: Weakly Chained Matrices, Policy Iteration, and Impulse Control. SIAM J. Numer. Anal. 54(3), 1341–1364 (2016). doi:10.1137/15M1043431
Bank, R.E., Wan, J.W.L., Qu, Z.: Kernel preserving multigrid methods for convection–diffusion equations. SIAM J. Matrix Anal. Appl. 27(4), 1150–1171 (2006). doi:10.1137/040619533
Barles, G., Souganidis, P.E.: Convergence of approximation schemes for fully nonlinear second order equations. Asymptot. Anal. 4(3), 271–283 (1991)
Benamou, J.D., Collino, F., Mirebeau, J.M.: Monotone and consistent discretization of the Monge–Ampère operator. Math. Comput. 85(302), 2743–2775 (2016). doi:10.1090/mcom/3080
Benamou, J.D., Froese, B.D., Oberman, A.M.: Two numerical methods for the elliptic Monge–Ampère equation. M2AN. Math. Model. Numer. Anal. 44(4), 737–758 (2010). doi:10.1051/m2an/2010017
Bey, J., Wittum, G.: Downwind numbering: Robust multigrid for convection–diffusion problems. Appl. Numer. Math. 23(1), 177–192 (1997). doi:10.1016/S0168-9274(96)00067-0
Bloss, M., Hoppe, R.H.W.: Numerical computation of the value function of optimally controlled stochastic switching processes by multi-grid techniques. Numer. Funct. Anal. Optim. 10(3–4), 275–304 (1989). doi:10.1080/01630568908816304
Bokanowski, O., Maroso, S., Zidani, H.: Some convergence results for Howard’s algorithm. SIAM J. Numer. Anal. 47(4), 3001–3026 (2009). doi:10.1137/08073041X
Brandt, A.: Multi-level adaptive solutions to boundary-value problems. Math. Comput. 31(138), 333–390 (1977)
Brandt, A., Yavneh, I.: On multigrid solution of high-Reynolds incompressible entering flows. J. Comput. Phys. 101(1), 151–164 (1992). doi:10.1016/0021-9991(92)90049-5
Caffarelli, L.A., Milman M. (eds): Monge–Ampère equation: applications to geometry and optimization. In: Contemporary Mathematics, vol. 226. American Mathematical Society, Providence, RI (1999). doi:10.1090/conm/226
Chen, Y., Wan, J.W.: Monotone mixed narrow/wide stencil finite difference scheme for Monge–Ampère equation. ArXiv preprint arXiv:1608.00644 (2016)
Crandall, M.G., Ishii, H., Lions, P.L.: User’s guide to viscosity solutions of second order partial differential equations. Bull. Am. Math. Soc. (N.S.) 27(1), 1–67 (1992). doi:10.1090/S0273-0979-1992-00266-5
Crandall, M.G., Lions, P.L.: Viscosity solutions of Hamilton–Jacobi equations. Trans. Am. Math. Soc. 277(1), 1–42 (1983). doi:10.2307/1999343
Debrabant, K., Jakobsen, E.R.: Semi-Lagrangian schemes for linear and fully non-linear diffusion equations. Math. Comput. 82(283), 1433–1462 (2013). doi:10.1090/S0025-5718-2012-02632-9
Feng, X., Jensen, M.: Convergent semi-Lagrangian methods for the Monge–Ampère equation on unstructured grids. ArXiv preprint arXiv:1602.04758 (2016)
Forsyth, P.A., Labahn, G.: Numerical methods for controlled Hamilton–Jacobi–Bellman PDEs in finance. J. Comput. Finance 11(2), 1 (2007)
Froese, B.D., Oberman, A.M.: Convergent finite difference solvers for viscosity solutions of the elliptic Monge–Ampère equation in dimensions two and higher. SIAM J. Numer. Anal. 49(4), 1692–1714 (2011). doi:10.1137/100803092
Froese, B.D., Oberman, A.M.: Fast finite difference solvers for singular solutions of the elliptic Monge–Ampère equation. J. Comput. Phys. 230(3), 818–834 (2011). doi:10.1016/j.jcp.2010.10.020
Froese, B.D., Oberman, A.M.: Convergent filtered schemes for the Monge–Ampère partial differential equation. SIAM J. Numer. Anal. 51(1), 423–444 (2013). doi:10.1137/120875065
Han, D., Wan, J.W.L.: Multigrid methods for second order Hamilton–Jacobi–Bellman and Hamilton–Jacob–Bellman–Isaacs equations. SIAM J. Sci. Comput. 35(5), S323–S344 (2013). doi:10.1137/120881476
Hoppe, R.H.W.: Multigrid methods for Hamilton–Jacobi–Bellman equations. Numer. Math. 49(2–3), 239–254 (1986). doi:10.1007/BF01389627
Howard, R.A.: Dynamic Programming and Markov Processes. The Technology Press of M.I.T., Cambridge, Mass.; John Wiley & Sons, Inc., New York, London (1960)
Jameson, A.: Solution of the Euler equations for two-dimensional transonic flow by a multigrid method. Appl. Math. Comput. 13(3–4), 327–355 (1983). doi:10.1016/0096-3003(83)90019-X
Krylov, N.V.: The control of the solution of a stochastic integral equation. Teor. Verojatnost. i Primenen. 17, 111–128 (1972)
Lin, J.: Wide Stencil for the Monge–Ampère Equation. Technical Report, University of Waterloo Master Essay, Supervised by Justin WL Wan, Available on https://uwaterloo.ca/computational-mathematics/sites/ca.computational-mathematics/files/uploads/files/cmmain1.pdf (2014)
Lions, P.L.: Hamilton–Jacobi–Bellman equations and the optimal control of stochastic systems. In: Proceedings of the International Congress of Mathematicians, Vol. 1, 2 (Warsaw, 1983), pp. 1403–1417. PWN, Warsaw (1984)
Ma, K., Forsyth, P.A.: An unconditionally monotone numerical scheme for the two-factor uncertain volatility model. IMA J. Numer. Anal. 37(2), 905–944 (2016)
Napov, A., Notay, Y.: An algebraic multigrid method with guaranteed convergence rate. SIAM J. Sci. Comput. 34(2), A1079–A1109 (2012)
Notay, Y.: An aggregation-based algebraic multigrid method. Electron. Trans. Numer. Anal. 37, 123–146 (2010)
Oberman, A.M.: Wide stencil finite difference schemes for the elliptic Monge–Ampère equation and functions of the eigenvalues of the Hessian. Discrete Contin. Dyn. Syst. Ser. B 10(1), 221–238 (2008). doi:10.3934/dcdsb.2008.10.221
Reisinger, C., Arto, J.R.: Boundary treatment and multigrid preconditioning for semi-Lagrangian schemes applied to Hamilton–Jacobi–Bellman equations. ArXiv preprint arXiv:1605.04821 (2016)
Ruge, J.W., Stüben, K.: Algebraic multigrid. In: Multigrid Methods, Frontiers in Applied Mathematics, vol. 3, pp. 73–130. SIAM, Philadelphia, PA (1987)
Seibold, B.: Performance of algebraic multigrid methods for non-symmetric matrices arising in particle methods. Numer. Linear Algebra Appl. 17(2–3), 433–451 (2010). doi:10.1002/nla.710
Smears, I.: Hamilton–Jacobi–Bellman Equations Analysis and Numerical Analysis. Technical Report, Research Report Available on www.math.dur.ac.uk/Ug/projects/highlights/PR4/Smears_HJB_report.pdf
Stüben, K.: An introduction to algebraic multigrid. In: Trottenberg, U., Oosterlee, C.W., Schüller, A. (eds.) Multigrid, pp. 413–532. Academic Press Inc, San Diego, CA (2001)
Stüben, K.: A review of algebraic multigrid. J. Comput. Appl. Math. 128(1–2), 281–309 (2001). doi:10.1016/S0377-0427(00)00516-1. Numerical analysis 2000, Vol. VII, Partial differential equations
Trottenberg, U., Oosterlee, C.W., Schüller, A.: Multigrid. Academic Press Inc, San Diego, CA (2001)
Wang, J., Forsyth, P.A.: Maximal use of central differencing for Hamilton–Jacobi–Bellman PDEs in finance. SIAM J. Numer. Anal. 46(3), 1580–1601 (2008). doi:10.1137/060675186
Xu, J., Zikatanov, L.T.: Algebraic multigrid methods. ArXiv preprint arXiv:1611.01917 (2016)
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Communicated by Gabriel Wittum.
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Chen, Y., Wan, J.W.L. Multigrid methods for convergent mixed finite difference scheme for Monge–Ampère equation. Comput. Visual Sci. 22, 27–41 (2019). https://doi.org/10.1007/s00791-017-0284-8
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DOI: https://doi.org/10.1007/s00791-017-0284-8