Abstract
Some recent developments in the analysis of long-time behaviors of stochastic solutions of nonlinear conservation laws driven by stochastic forcing are surveyed. The existence and uniqueness of invariant measures are established for anisotropic degenerate parabolic-hyperbolic conservation laws of second-order driven by white noises. Some further developments, problems, and challenges in this direction are also discussed.
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Arnold, L., Random Dynamical Systems, Springer-Verlag, Berlin Heidelberg, 1998.
Barré, J., Bernardin, C. and Chertrite, R., Density large deviations for multidimensional stochastic hyperbolic conservation laws, J. Stat. Phys., 170(4), 2017, 466–491.
Bauzet, C., Vallet, G. and Wittbold, P., The Cauchy problem for conservation laws with a multiplicative stochastic perturbation, J. Hyper. Diff. Eq., 9(4), 2012, 661–709.
Bergé, B. and Saussereau, B., On the long-time behavior of a class of parabolic SPDEs: Monotonicity methods and exchange of stability, ESAIM: Probab. Stat., 9, 2005, 254–276.
Birkens, J., Sufficient conditions for the eventual strong Feller property for degenerate stochastic evolutions, J. Math. Anal. Appl., 379(4), 2011, 469–481.
Bouchut, F. and Desvillettes, L., Averaging lemmas without time Fourier transform and application to discretized kinetic equations, Proc. Royal Soc. Edin. Sec. A, 129, 1999, 19–36.
Bricmont, J., Kupiainen, A. and Lefevere, R., Ergodicity of the 2D Navier-Stokes equations with random forcing, Comm. Math. Phys., 224(4), 2001, 65–81.
Bricmont, J., Kupiainen, A. and Lefevere, R., Exponential mixing of the 2D Navier-Stokes dynamics, Comm. Math. Phys., 224(4), 2002, 87–132.
Chen, G. -Q., Ding, Q. and Karlsen, K., On nonlinear stochastic balance laws, Arch. Ration. Mech. Anal., 204(4), 2012, 707–743.
Chen, G. -Q. and Frid, H., Large time behavior of entropy solutions in L8 for multidimensional conservation laws, Advances in Nonlinear PDEs and Related Areas, 28–44, World Sci. Publ., River Edge, NJ, 1998.
Chen, G. -Q. and Lu, Y. -G., A study of approaches to applying the theory of compensated compactness, Chinese Sci. Bull., 34, 1989, 15–19.
Chen, G. -Q. and Pang, P., On nonlinear anisotropic degenerate parabolic-hyperbolic equations with stochastic forcing, 2019, arXiv:1903.02693.
Chen, G. -Q. and Perthame, B., Well-posedness for non-isotropic degenerate parabolic-hyperbolic equations, Ann. l’I.H.P. Anal. Non-Linéaires, 20(4), 2003, 645–668.
Chen, G. -Q. and Perthame, B., Large-time behavior of periodic entropy solutions to anisotropic degenerate parabolic-hyperbolic equations, Proc. A.M.S., 137(4), 2009, 3003–3011.
Chueshov, I. and Vuillermot, P., On the large-time dynamics of a class of random parabolic equations, C. R. Acad. Sci. Paris, 322(4), 1996, 1181–1186.
Chueshov, I. and Vuillermot, P., On the large-time dynamics of a class of parabolic equations subjected homogeneous white noise: Stratonovitch’s case, C. R. Acad. Sci. Paris, 323(4), 1996, 29–33.
Chueshov, I. and Vuillermot, P., Long-time behavior of solutions to a class of quasilinear parabolic equations with random coefficients, Ann. I.H.P. Anal. Non-Linéaires, 15(4), 1998, 191–232.
Chueshov, I. and Vuillermot, P., Long-time behavior of solutions to a class of stochastic parabolic equations with homogeneous white noise: Straonovitch’s case, Probab. Theory Related Fields, 112(4), 1998, 149–202.
Chueshov, I. and Vuillermot, P., On the large-time dynamics of a class of parabolic equations subjected to homogeneous white noise: Itô’s case, C. R. Acad. Sci. Paris, 326(4), 1998, 1299–1304.
Chueshov, I. and Vuillermot, P., Long-time behavior of solutions to a class of stochastic parabolic equations with homogeneous white noise: Itô’s case, Stoch. Anal. Appl., 18(4), 2000, 581–615.
Coti-Zelati, M., Glatt-Holtz, N. and Trivisa, K., Invariant measures for the stochastic one-dimensional compressible Navier-Stokes equations, 2018, arXiv:1802.04000v1.
Crauel, H., Markov measures for random dynamical systems, Stochastics and Stochastic Reports, 37(4), 1991, 153–173.
Crauel, H., Random Probability Measures on Polish Spaces, Taylor and Francis, London, 2002.
Crauel, H., Debussche, A. and Flandoli, F., Random attractors, J. Dynam. Diff. Eq., 9(4), 1997, 307–341.
Crauel, H. and Flandoli, F., Attractors for random dynamical systems, Probab. Theory Relat. Fields, 100(4), 1994, 365–393.
Da Prato, G. and Debussche, A., Two-dimensional Navier-Stokes equations driven by a space-time white noise, J. Funct. Anal., 196(4), 2002, 180–210.
Da Prato, G. and Debussche, A., Ergodicity for the 3D stochastic Navier-Stokes equations, J. Math. Pures Appl., 82(4), 2003, 877–947.
Da Prato, G., Debussche, A., and Temam, R., Stochastic Burger’s equation, No.D.E.A., 1, 1994, 389–402.
Da Prato, G., Flandoli, F., Priola, E., and Röckner, M., Strong uniqueness for stochastic evolution equations in Hilbert spaces perturbed by a bounded measurable drift, Ann. Prob., 41(4), 2013, 3306–3344.
Da Prato, G. and Zabczyk, J., Stochastic Equations in Infinite Dimensions, Cambridge University Press, Cambridge, 2008.
Debussche, A., On the finite dimensionality of random attractors, Stoch. Anal. Appl., 15(4), 1997, 473–492.
Debussche, A., Hausdorff dimension of a random invariant set, J. Math. Pures Appl., 77(4), 1998, 967–988.
Debussche, A., Hofmanov´a, M. and Vovelle, J., Degenerate parabolic stochastic partial differential equations: Quasilinear case, Ann. Probab., 44(4), 2016, 1916–1955.
Debussche, A. and Vovelle, J., Scalar conservation laws with stochastic forcing, J. Funct. Anal., 259(4), 2010, 1014–1042.
Debussche, A. and Vovelle, J., Invariant measure of scalar first-order conservation laws with stochastic forcing, Probab. Theory Relat. Fields, 163(4), 2015, 575–611.
Dembo, A. and Zeitouni, O., Large Deviations Techniques and Applications, 2nd ed., Springer-Verlag, New York, 1997.
Delarue, F., Flandoli, F. and Vincenzi, D., Noise prevents collapse of Vlasov-Poisson point charges, Comm. Pure Appl. Math., 67(4), 2014, 1700–1736.
Deuschel, J. -D., and Stroock, D., Large Deviations, Academic Press, London, 1989.
Doeblin, W., Éléments d’une théorie générale des chaînes simples constantes de Markoff, Ann. Sci. École Normale Superieur, 57, 1940, 61–111.
Doeblin, W. and Fortet, R., Sur le chaînes à liaisons complète, Bull. Soc. Math. France, 65, 1937, 132–148.
Dong, Z., Wu, J. -L., Zhang, R. -R. and Zhang, T. -S., Large deviation principles for first-order scalar conservation laws with stochastic forcing, 2018, arXiv:1806.02955v1.
Doob, J., Asymptotic property of Markoff transition probability, Trans. Amer. Math. Soc., 64(4), 1948, 393–421.
Dupuis, P. and Ellis, R. S., A Weak Convergence Approach to the Theory of Large Deviations, New York, Wiley, 1997.
E, Weinan, Khanin, K., Mazel, A. and Sinai, Ya., Probability distribution functions for the random forced Burgers equation, Phys. Rev. Lett., 78(4), 1997, 1904–1907.
E. Weinan, Khanin, K., Mazel, A. and Sinai, Ya., Invariant measures for Burgers equation with stochastic forcing, Ann. Math., 151(4), 2000, 877–960.
E. Weinan, Mattingly, J. and Sinai, Ya., Gibbsian dynamics and ergodicity for the stochastically forced Navier-Stokes equation, Comm. Math. Phys., 224(4), 2001, 83–106.
Fedrizzi, E., Flandoli, F., Priola, E. and Vovelle, J., Regularity of stochastic kinetic equations, Electron. J. Probab., 22(4), 2017, 1–42.
Fehrman, B. and Gess, B., Well-posedness of nonlinear diffusion equations with nonlinear, conservative noise, 2019, arXiv:1712.05775.
Feng, J. and Nualart, D., Stochastic scalar conservation laws, J. Funct. Anal., 255(4), 2008, 313–373.
Flandoli, F., Stochastic flows and Lyapunov exponents for abstract stochastic PDEs of parabolic type, Lyapunov Exponents Proceedings, Arnold, L., Crauel, H., Eckamann, J. -P. (eds), LNM 1486, 1991, 196–205.
Flandoli, F., Dissipativity and invariant measures for stochastic Navier-Stokes equations, No.D.E.A., 1(4), 1994, 403–423.
Flandoli, F., Regularity Theory and Stochastic Flows for Parabolic SPDEs, Gordon and Breach Science Publishers, Singapore, 1995.
Flandoli, F. and Gatarek, D., Martingale and stationary solutions for stochastic Navier-Stokes equations, Probab. Theory Relat. Fields, 102(4), 1995, 367–391.
Flandoli, F., Gubinelli, M. and Priola, E., Well-posedness of the transport equation by stochastic perturbation, Invent. Math., 180(4), 2010, 1–53.
Flandoli, F. and Maslowski, B., Ergodicity of the 2-D Navier-Stokes equations under random perturbations, Comm. Math. Phys., 172(4), 1995, 119–141.
Földes, J., Friedlander, S., Glatt-Holtz, N. and Richards, G., Asymptotic analysis for randomly forced MHD, 2016, arXiv:1604.06352.
Földes, J., Glatt-Holtz, N., Richards, G. and Whitehead, J. P., Ergodicity in randomly forced Rayleigh-Bénard convection, 2015, arXiv:1511.01247.
Freidlin, M. I. and Wentzell, A. D., Random Perturbation of Dynamical Systems, 2nd ed., Springer-Verlag, New York, 1998.
Gess, B. and Souganidis, P., Long-time behavior, invariant measures and regularizing effects for stochastic scalar conservation laws, 2014, arXiv:1411.3939.
Gess, B. and Souganidis, P., Stochastic non-isotropic degenerate parabolic-hyperbolic equations, 2016, arXiv:1611.01303.
Giga, Y. and Miyakawa, T., A kinetic construction of global solutions of first order quasilinear equations, Duke Math. J., 50(4), 1989, 505–515.
Gyöngy, I. and Nualart, D., On the stochastic Burgers equation in the real line, Ann. Probab., 27(4), 1999, 782–802.
Hairer, M. and Mattingly, J., Ergodicity of the 2D Navier-Stokes equations with degenerate stochastic forcing, Ann. Math., 164, 2006, 993–1032.
Hairer, M. and Mattingly, J., Spectral gaps in Wasserstein distances and the 2D stochastic Navier-Stokes equations, Ann. Probab., 36(4), 2008, 2050–2091.
Hairer, M. and Mattingly, J., A theory of hypoellipticity and unique ergodicity for semilinear stochastic PDEs, Electr. J. Probab., 16(4), 2011, 658–738.
Hairer, M. and Voss, J., Approximations to the stochastic Burgers equation, J. Nonlin. Sci., 21(4), 2011, 897–920.
Hofmanov´a, M., Degenerate parabolic stochastic partial differential equations, Stochastic Process. Appl., 123(4), 2013, 4294–4336.
Hollander den, F., Large Deviations, Fields Institute Monographs, A. M.S., Providence, RI, 2000.
Karlsen, K. H. and Storrøsten, E., On stochastic conservation laws and Malliavin calculus, 2015, arX-iv:1507.05518v2.
Khas’minskii, R., Ergodic properties of recurrent diffusion processes and stabilization of the solutions to the Cauchy problem for parabolic equations, Theory Probab. Appl., 5(4), 1960, 179–196.
Krylov, N. and Röckner, M., Strong solutions of stochastic equations with singular time dependent drift, Probab. Theory Relat. Fields, 131(4), 2005, 154–196.
Kuksin, S. and Shirikyan, A., Mathematics of Two-Dimensional Turbulence, Cambridge University Press, Cambridge, 2002.
Kuksin, S. and Shirikyan, A., Randomly Forced Nonlinear PDEs and Statistical Hydrodynamics in 2 Space Dimensions, European Mathematical Society, Zürich, 2006.
Le Jan, Y., Équilibre statistique pour les produits de difféomorphismes aléatoires indépendants, Ann. l’I.H.P. Probab. Stat., 23(4), 1987, 111–120.
Ledrappier, F., Positivity of the exponent for stationary sequences of matrices, Lyapunov Exponents Proceedings, Arnold, L., Wihstutz, V. (eds.), LNM 1186, 1986, 56–73.
Le`on, J., Nualart, D. and Pettersson, R., The stochastic burgers equation: Finite moments and smoothness of the density, Infinite Dimensional Analysis, 3, 2000, 363–385.
Lindvall, T., Lectures on the Coupling Method, John Wiley & Sons, New York, 1992.
Lions, P. -L., Perthame, B. and Souganidis, P., Scalar conservation laws with rough (stochastic) fluxes, Stochastic PDEs: Anal. Comput., 1, 2013, 664–686.
Lions, P. -L., Perthame, B. and Souganidis, P., Scalar conservation laws with rough (stochastic) fluxes, the spatially dependent case, Stochastic PDEs: Anal. Comput., 2(4), 2014, 517–538.
Lions, P. -L., Perthame, B. and Tadmor, E., A kinetic formulation of multidimensional scalar conservation laws and related equations, J. Amer. Math. Soc., 7(4), 1994, 169–191.
Lions, P. -L., Perthame, B. and Tadmor, E., Kinetic formulation of the isentropic gas dynamics and p-systems, Comm. Math. Phys., 163, 1994, 415–431.
Majda, A., Introduction to Turbulent Dynamical Systems in Complex Systems, Springer-Varlag, Cham, 2016.
Majda, A., and Tong, X. -T., Ergodicity of truncated stochastic Navier Stokes with deterministic forcing and dispersion, J. Nonlin. Sci., 26(4), 2016, 1483–1506.
Majda, A. and Wang, X. -M., Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows, Cambridge University Press, Cambridge, 2006.
Mariani, M., Large deviations principles for stochastic scalar conservation laws, Probab. Theory Relat. Fields, 147, 2010, 607–648.
Maslowski, B. and Seidler, J., Invariant measures for nonlinear SPDE’s: Uniqueness and stability, Archivum Mathematicum, 34(4), 1998, 153–172.
Masmoudi, N. and Young, L. -S., Ergodic theory of infinite dimensional systems with applications to dissipative parabolic PDEs, Comm. Math. Phys., 227(4), 2002, 461–481.
Mattingly, J. C., Exponential convergence for the stochastically forced Navier-Stokes equations and other partially dissipative dynamics, Comm. Math. Phys., 230(4), 2002, 421–462.
Mattingly, J. C., Recent progress for the stochastic Navier-Stokes equations, Journeé EDP., 11, 2003, 52 pages, DOI: 10.5802/jedp.625.
Perthame, B., Kinetic Formulation of Conservation Laws, Oxford University Press, Oxford, 2002.
Peszat, S. and Zabczyk, J., Strong Feller property and irreducibility for diffusions on Hilbert spaces, Ann. Probab., 23(4), 1995, 157–172.
Peszat, S. and Zabczyk, J., Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach, Cambridge University Press, Cambridge, 2007.
Röckner, M. and Zhang, X. -C., Stochastic tamed 3D Navier-Stokes equations: existence, uniqueness and ergodicity, Prob. Theory Relat. Fields, 145, 2009, 211–267.
Romito, M. and Xu, L. -H., Ergodicity of the 3D stochastic Navier-Stokes equations driven by mildly degenerate noise, Stoc. Proc. Appl., 121, 2011, 673–700.
Schmalfuss, B., The random attractor of the stochastic Lorenz system, ZAMP, 48(4), 1997, 951–975.
Sinai, Ya, Two results concerning asymptotic behavior of solutions of the Burgers equation with force, J. Stat. Phys., 64(4), 1991, 1–12.
Tadmor, E. and Tao, T., Velocity averaging, kinetic formulations and regularizing effects in quasi-linear pdes, Comm. Pure Appl. Math., 60(4), 2007, 1488–1521.
Temam, R., Infinite Dimensional Dynamical Systems in Mechanics and Physics, Springer-Verlag, New York, 1997.
Varadhan, S. R. S., Large Deviations, Courant Lecture Notes, A. M.S., Providence, RI, 2016.
Veretennikov, A., On strong solutions and explicit formulas for solutions of stochastic integral equations, Math. USSR Sbornik, 39(4), 1981.
Villani, C., Optimal Transport, Grundlehren der Mathematischen Wissenschaften, 338, Springer-Verlag, 2009.
Zhu, R. and Zhu, X., Three-dimensional Navier-Stokes equations driven by space-time white noise, J. Diff. Eq., 259(4), 2015, 4443–4508.
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Dedicated to Professor Andrew J. Majda on the occasion of his 70th birthday
This work was supported by the UK Engineering and Physical Sciences Research Council Award EP/E035027/1, EP/L015811/1, the Royal Society-Wolfson Research Merit Award (UK) and an Oxford Croucher Scholarship
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Chen, GQ.G., Pang, P.H.C. Invariant Measures for Nonlinear Conservation Laws Driven by Stochastic Forcing. Chin. Ann. Math. Ser. B 40, 967–1004 (2019). https://doi.org/10.1007/s11401-019-0169-x
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DOI: https://doi.org/10.1007/s11401-019-0169-x
Keywords
- Stochastic solutions
- Entropy solutions
- Invariant measures
- Existence
- Uniqueness
- Stochastic forcing
- Anisotropic degenerate
- Parabolichyperbolic equations
- Long-time behavior