Nonlinear Fokker–Planck equations for probability measures on path space and path-distribution dependent SDEs

Previous Article
Bistable reaction equations with doubly nonlinear diffusion
DCDS Home
This Issue
Next Article
A mean-field model with discontinuous coefficients for neurons with spatial interaction

June 2019, 39(6): 3017-3035. doi: 10.3934/dcds.2019125

Nonlinear Fokker–Planck equations for probability measures on path space and path-distribution dependent SDEs

Xing Huang ^1, , Michael Röckner ^2, and Feng-Yu Wang ^1,3,,

1.	Center for Applied Mathematics, Tianjin University, Tianjin 300072, China
2.	Department of Mathematics, Bielefeld University, D-33501 Bielefeld, Germany
3.	Department of Mathematics, Swansea University, Singleton Park, SA2 8PP, United Kingdom

^* Corresponding author: Feng-Yu Wang

Received January 2018 Revised October 2018 Published February 2019

Fund Project: Supported by NNSFC (11801406, 11771326, 11831014, 11431014, 11726627)

By investigating path-distribution dependent stochastic differential equations, the following type of nonlinear Fokker–Planck equations for probability measures

$ (\mu_t)_{t \geq 0} $

on the path space

$ {\scr {C}}: = C([-r_0, 0];\mathbb R^d), $

is analyzed:

$ \partial_t \mu(t) = L_{t, \mu_t}^*\mu_t, \ \ t\ge 0, $

where

$ \mu(t) $

is the image of

$ \mu_t $

under the projection

$ {\scr {C}}\ni\xi\mapsto \xi(0)\in\mathbb R^d $

, and

$ \begin{align*} L_{t, \mu}(\xi)&: = \frac 1 2\sum\limits_{i, j = 1}^d a_{ij}(t, \xi, \mu)\frac{\partial^2} {\partial_{\xi(0)_i} \partial_{\xi(0)_j }} \\\; &\quad +\sum\limits_{i = 1}^d b_i(t, \xi, \mu)\frac{\partial}{\partial_{\xi(0)_i}}, \ \ t\ge 0, \xi\in {\scr {C}}, \mu\in \scr P^{\scr {C}}. \end{align*} $

Under reasonable conditions on the coefficients

$ a_{ij} $

and

$ b_i $

, the existence, uniqueness, Lipschitz continuity in Wasserstein distance, total variational norm and entropy, as well as derivative estimates are derived for the martingale solutions.

Keywords: Nonlinear PDE for probability measures, path-distribution dependent SDEs, Wasserstein distance, Harnack inequality, coupling by change of measure.

Mathematics Subject Classification: Primary: 60J75, 47G20, 60G52.

Citation: Xing Huang, Michael Röckner, Feng-Yu Wang. Nonlinear Fokker–Planck equations for probability measures on path space and path-distribution dependent SDEs. Discrete & Continuous Dynamical Systems - A, 2019, 39 (6) : 3017-3035. doi: 10.3934/dcds.2019125

References:

[1]	M. Arnaudon, A. Thalmaier and F.-Y. Wang, Harnack inequality and heat kernel estimate on manifolds with curvature unbounded below, Bull. Sci. Math., 130 (2006), 223-233. doi: 10.1016/j.bulsci.2005.10.001. Google Scholar
[2]	J. Bao, F.-Y. Wang and C. Yuan, Asymptotic Log-Harnack inequality and applications for stochastic systems of infinite memory, Stochastic Processes and their Applications, , 2018, arXiv: 1710.01042. doi: 10.1016/j.spa.2018.12.010. Google Scholar
[3]	J. Bao, F.-Y. Wang and C. Yuan, Ergodicity for Neutral Type SDEs with Infinite Length of Memory, preprint, arXiv: 1805.03431.Google Scholar
[4]	V. Bogachev, A. Krylov, M. Röckner and S. Shaposhnikov, Fokker-Planck-Kolmogorov Equations, Monograph, AMS, 2015. doi: 10.1090/surv/207. Google Scholar
[5]	O. A. Butkovsky, On ergodic properties of nonlinear Markov chains and stochastic McKean-Vlasov equations, Theo. Probab. Appl., 58 (2014), 661-674. doi: 10.1137/S0040585X97986825. Google Scholar
[6]	I. Csiszár and J. Körne, Information Theory: Coding Theorems for Discrete Memory-less Systems, Academic Press, New York, 1981.
[7]	K. Carrapatoso, Exponential convergence to equilibrium for the homogeneous Landau equation with hard potentials, Bull. Sci. Math., 139 (2015), 777-805. doi: 10.1016/j.bulsci.2014.12.002. Google Scholar
[8]	L. Desvillettes and C. Villani, On the spatially homogeneous Landau equation for hard potentials, Part Ⅰ: existence, uniqueness and smothness, Comm. Part. Diff. Equat., 25 (2000), 179-259. doi: 10.1080/03605300008821512. Google Scholar
[9]	L. Desvillettes and C. Villani, On the spatially homogeneous Landau equation for hard potentials, Part Ⅱ: H-Theorem and Applications, Comm. Part. Diff. Equat., 25 (2000), 261-298. doi: 10.1080/03605300008821513. Google Scholar
[10]	A. Eberle, A. Guillin and R. Zimmer, Quantitative Harris type theorems for diffusions and McKean-Vlasov processes, Trans. Amer. Math. Soc., 2018, arXiv: 1606.06012. doi: 10.1090/tran/7576. Google Scholar
[11]	N. Fournier and A. Guillin, From a Kac-like particle system to the Landau equation for hard potentials and Maxwell molecules, Ann. Sci. l'ENS, 50 (2017), 157-199. doi: 10.24033/asens.2318. Google Scholar
[12]	H. Guérin, Existence and regularity of a weak function-solution for some Landau equations with a stochastic approach, Stoch. Proc. Appl., 101 (2002), 303-325. doi: 10.1016/S0304-4149(02)00107-2. Google Scholar
[13]	M. Hairer, J. C. Mattingly and M. Scheutzow, Asymptotic coupling and a general form of Harris theorem with applications to stochastic delay equations, Probab. Theory Related Fields, 149 (2011), 223-259. doi: 10.1007/s00440-009-0250-6. Google Scholar
[14]	I. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes, North-Holland Publishing Co., Amsterdam, 1981. Google Scholar
[15]	A. N. Kolmogoroff, Über die analytischen Methoden in der Wahrscheinlichkeitsrechnung, Math. Ann., 104 (1931), 415-458. doi: 10.1007/BF01457949. Google Scholar
[16]	Yu. S. Mishura and A. Yu. Veretennikov, Existence and uniqueness theorems for solutions of McKean-Vlasov stochastic equations, preprint, arXiv: 1603.02212.Google Scholar
[17]	S.-E. A. Mohammed, Stochastic Functional Differential Equations, Pitman, Boston, 1984. Google Scholar
[18]	M. S. Pinsker, Information and Information Stability of Random Variables and Processes, Holden-Day, San Francisco, 1964. Google Scholar
[19]	M. Röckner and F.-Y. Wang, Log-harnack inequality for stochastic differential equations in Hilbert spaces and its consequences, Infin. Dim. Anal. Quat. Probab. Relat. Top., 13 (2010), 27-37. doi: 10.1142/S0219025710003936. Google Scholar
[20]	D. W. Stroock and S. R. S. Varadhan, Multidimensional Diffusion Processes, Springer, New York, 1979. Google Scholar
[21]	A.-S. Sznitman, Topics in propagation of chaos, Lecture Notes in Mathematics, 1464 (1991), 165-251. doi: 10.1007/BFb0085169. Google Scholar
[22]	C. Villani, Optimal Transport, Old and New, Springer-Verlg, Berlin, 2009. doi: 10.1007/978-3-540-71050-9. Google Scholar
[23]	C. Villani, On the spatially homogeneous Landau equation for Maxwellian mocecules, Math. Mod. Meth. Appl. Sci., 8 (1998), 957-983. doi: 10.1142/S0218202598000433. Google Scholar
[24]	F.-Y. Wang, Logarithmic Sobolev inequalities on noncompact Riemannian manifolds, Probab. Theory Related Fields, 109 (1997), 417-424. doi: 10.1007/s004400050137. Google Scholar
[25]	F.-Y. Wang, Harnack inequality and applications for stochastic generalized porous media equations, Ann. Probab., 35 (2007), 1333-1350. doi: 10.1214/009117906000001204. Google Scholar
[26]	F.-Y. Wang, Harnack Inequalities and Applications for Stochastic Partial Differential Equations, Springer, Berlin, 2013. doi: 10.1007/978-1-4614-7934-5. Google Scholar
[27]	F.-Y. Wang, Harnack inequalities on manifolds with boundary and applications, J. Math. Pures Appl., 94 (2010), 304-321. doi: 10.1016/j.matpur.2010.03.001. Google Scholar
[28]	F.-Y. Wang, Harnack inequality for SDE with multiplicative noise and extension to Neumann semigroup on nonconvex manifolds, Ann. Probab., 39 (2011), 1449-1467. doi: 10.1214/10-AOP600. Google Scholar
[29]	F.-Y. Wang, Integration by parts formula and shift Harnack inequality for stochastic equations, Ann. Probab., 42 (2014), 994-1019. doi: 10.1214/13-AOP875. Google Scholar
[30]	F.-Y. Wang and C. Yuan, Harnack inequalities for functional SDEs with multiplicative noise and applications, Stoch. Proc. Appl., 121 (2011), 2692-2710. doi: 10.1016/j.spa.2011.07.001. Google Scholar
[31]	F.-Y. Wang, Distribution-dependent SDEs for Landau type equations, Stoch. Proc. Appl., 128 (2018), 595-621. doi: 10.1016/j.spa.2017.05.006. Google Scholar
[32]	T. Yamada and S. Watanabe, On the uniqueness of solutions of stochastic differential equations Ⅰ & Ⅱ, J. Math. Kyoto Univ., 11 (1971), 155-167. doi: 10.1215/kjm/1250523620. Google Scholar

show all references

References:

[1]	M. Arnaudon, A. Thalmaier and F.-Y. Wang, Harnack inequality and heat kernel estimate on manifolds with curvature unbounded below, Bull. Sci. Math., 130 (2006), 223-233. doi: 10.1016/j.bulsci.2005.10.001. Google Scholar
[2]	J. Bao, F.-Y. Wang and C. Yuan, Asymptotic Log-Harnack inequality and applications for stochastic systems of infinite memory, Stochastic Processes and their Applications, , 2018, arXiv: 1710.01042. doi: 10.1016/j.spa.2018.12.010. Google Scholar
[3]	J. Bao, F.-Y. Wang and C. Yuan, Ergodicity for Neutral Type SDEs with Infinite Length of Memory, preprint, arXiv: 1805.03431.Google Scholar
[4]	V. Bogachev, A. Krylov, M. Röckner and S. Shaposhnikov, Fokker-Planck-Kolmogorov Equations, Monograph, AMS, 2015. doi: 10.1090/surv/207. Google Scholar
[5]	O. A. Butkovsky, On ergodic properties of nonlinear Markov chains and stochastic McKean-Vlasov equations, Theo. Probab. Appl., 58 (2014), 661-674. doi: 10.1137/S0040585X97986825. Google Scholar
[6]	I. Csiszár and J. Körne, Information Theory: Coding Theorems for Discrete Memory-less Systems, Academic Press, New York, 1981.
[7]	K. Carrapatoso, Exponential convergence to equilibrium for the homogeneous Landau equation with hard potentials, Bull. Sci. Math., 139 (2015), 777-805. doi: 10.1016/j.bulsci.2014.12.002. Google Scholar
[8]	L. Desvillettes and C. Villani, On the spatially homogeneous Landau equation for hard potentials, Part Ⅰ: existence, uniqueness and smothness, Comm. Part. Diff. Equat., 25 (2000), 179-259. doi: 10.1080/03605300008821512. Google Scholar
[9]	L. Desvillettes and C. Villani, On the spatially homogeneous Landau equation for hard potentials, Part Ⅱ: H-Theorem and Applications, Comm. Part. Diff. Equat., 25 (2000), 261-298. doi: 10.1080/03605300008821513. Google Scholar
[10]	A. Eberle, A. Guillin and R. Zimmer, Quantitative Harris type theorems for diffusions and McKean-Vlasov processes, Trans. Amer. Math. Soc., 2018, arXiv: 1606.06012. doi: 10.1090/tran/7576. Google Scholar
[11]	N. Fournier and A. Guillin, From a Kac-like particle system to the Landau equation for hard potentials and Maxwell molecules, Ann. Sci. l'ENS, 50 (2017), 157-199. doi: 10.24033/asens.2318. Google Scholar
[12]	H. Guérin, Existence and regularity of a weak function-solution for some Landau equations with a stochastic approach, Stoch. Proc. Appl., 101 (2002), 303-325. doi: 10.1016/S0304-4149(02)00107-2. Google Scholar
[13]	M. Hairer, J. C. Mattingly and M. Scheutzow, Asymptotic coupling and a general form of Harris theorem with applications to stochastic delay equations, Probab. Theory Related Fields, 149 (2011), 223-259. doi: 10.1007/s00440-009-0250-6. Google Scholar
[14]	I. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes, North-Holland Publishing Co., Amsterdam, 1981. Google Scholar
[15]	A. N. Kolmogoroff, Über die analytischen Methoden in der Wahrscheinlichkeitsrechnung, Math. Ann., 104 (1931), 415-458. doi: 10.1007/BF01457949. Google Scholar
[16]	Yu. S. Mishura and A. Yu. Veretennikov, Existence and uniqueness theorems for solutions of McKean-Vlasov stochastic equations, preprint, arXiv: 1603.02212.Google Scholar
[17]	S.-E. A. Mohammed, Stochastic Functional Differential Equations, Pitman, Boston, 1984. Google Scholar
[18]	M. S. Pinsker, Information and Information Stability of Random Variables and Processes, Holden-Day, San Francisco, 1964. Google Scholar
[19]	M. Röckner and F.-Y. Wang, Log-harnack inequality for stochastic differential equations in Hilbert spaces and its consequences, Infin. Dim. Anal. Quat. Probab. Relat. Top., 13 (2010), 27-37. doi: 10.1142/S0219025710003936. Google Scholar
[20]	D. W. Stroock and S. R. S. Varadhan, Multidimensional Diffusion Processes, Springer, New York, 1979. Google Scholar
[21]	A.-S. Sznitman, Topics in propagation of chaos, Lecture Notes in Mathematics, 1464 (1991), 165-251. doi: 10.1007/BFb0085169. Google Scholar
[22]	C. Villani, Optimal Transport, Old and New, Springer-Verlg, Berlin, 2009. doi: 10.1007/978-3-540-71050-9. Google Scholar
[23]	C. Villani, On the spatially homogeneous Landau equation for Maxwellian mocecules, Math. Mod. Meth. Appl. Sci., 8 (1998), 957-983. doi: 10.1142/S0218202598000433. Google Scholar
[24]	F.-Y. Wang, Logarithmic Sobolev inequalities on noncompact Riemannian manifolds, Probab. Theory Related Fields, 109 (1997), 417-424. doi: 10.1007/s004400050137. Google Scholar
[25]	F.-Y. Wang, Harnack inequality and applications for stochastic generalized porous media equations, Ann. Probab., 35 (2007), 1333-1350. doi: 10.1214/009117906000001204. Google Scholar
[26]	F.-Y. Wang, Harnack Inequalities and Applications for Stochastic Partial Differential Equations, Springer, Berlin, 2013. doi: 10.1007/978-1-4614-7934-5. Google Scholar
[27]	F.-Y. Wang, Harnack inequalities on manifolds with boundary and applications, J. Math. Pures Appl., 94 (2010), 304-321. doi: 10.1016/j.matpur.2010.03.001. Google Scholar
[28]	F.-Y. Wang, Harnack inequality for SDE with multiplicative noise and extension to Neumann semigroup on nonconvex manifolds, Ann. Probab., 39 (2011), 1449-1467. doi: 10.1214/10-AOP600. Google Scholar
[29]	F.-Y. Wang, Integration by parts formula and shift Harnack inequality for stochastic equations, Ann. Probab., 42 (2014), 994-1019. doi: 10.1214/13-AOP875. Google Scholar
[30]	F.-Y. Wang and C. Yuan, Harnack inequalities for functional SDEs with multiplicative noise and applications, Stoch. Proc. Appl., 121 (2011), 2692-2710. doi: 10.1016/j.spa.2011.07.001. Google Scholar
[31]	F.-Y. Wang, Distribution-dependent SDEs for Landau type equations, Stoch. Proc. Appl., 128 (2018), 595-621. doi: 10.1016/j.spa.2017.05.006. Google Scholar
[32]	T. Yamada and S. Watanabe, On the uniqueness of solutions of stochastic differential equations Ⅰ & Ⅱ, J. Math. Kyoto Univ., 11 (1971), 155-167. doi: 10.1215/kjm/1250523620. Google Scholar

[1]	Xing Huang, Chang Liu, Feng-Yu Wang. Order preservation for path-distribution dependent SDEs. Communications on Pure & Applied Analysis, 2018, 17 (5) : 2125-2133. doi: 10.3934/cpaa.2018100
[2]	Liliana Trejo-Valencia, Edgardo Ugalde. Projective distance and $g$-measures. Discrete & Continuous Dynamical Systems - B, 2015, 20 (10) : 3565-3579. doi: 10.3934/dcdsb.2015.20.3565
[3]	Daniela De Silva, Ovidiu Savin. A note on higher regularity boundary Harnack inequality. Discrete & Continuous Dynamical Systems - A, 2015, 35 (12) : 6155-6163. doi: 10.3934/dcds.2015.35.6155
[4]	Pablo Raúl Stinga, Chao Zhang. Harnack's inequality for fractional nonlocal equations. Discrete & Continuous Dynamical Systems - A, 2013, 33 (7) : 3153-3170. doi: 10.3934/dcds.2013.33.3153
[5]	Giuseppe Di Fazio, Maria Stella Fanciullo, Pietro Zamboni. Harnack inequality for degenerate elliptic equations and sum operators. Communications on Pure & Applied Analysis, 2015, 14 (6) : 2363-2376. doi: 10.3934/cpaa.2015.14.2363
[6]	Michihiro Hirayama. Periodic probability measures are dense in the set of invariant measures. Discrete & Continuous Dynamical Systems - A, 2003, 9 (5) : 1185-1192. doi: 10.3934/dcds.2003.9.1185
[7]	Jinggang Tan, Jingang Xiong. A Harnack inequality for fractional Laplace equations with lower order terms. Discrete & Continuous Dynamical Systems - A, 2011, 31 (3) : 975-983. doi: 10.3934/dcds.2011.31.975
[8]	Eleonora Bardelli, Andrea Carlo Giuseppe Mennucci. Probability measures on infinite-dimensional Stiefel manifolds. Journal of Geometric Mechanics, 2017, 9 (3) : 291-316. doi: 10.3934/jgm.2017012
[9]	Xavier Cabré. Elliptic PDE's in probability and geometry: Symmetry and regularity of solutions. Discrete & Continuous Dynamical Systems - A, 2008, 20 (3) : 425-457. doi: 10.3934/dcds.2008.20.425
[10]	Fatiha Alabau-Boussouira. On the influence of the coupling on the dynamics of single-observed cascade systems of PDE's. Mathematical Control & Related Fields, 2015, 5 (1) : 1-30. doi: 10.3934/mcrf.2015.5.1
[11]	Sabine Eisenhofer, Messoud A. Efendiev, Mitsuharu Ôtani, Sabine Schulz, Hans Zischka. On an ODE-PDE coupling model of the mitochondrial swelling process. Discrete & Continuous Dynamical Systems - B, 2015, 20 (4) : 1031-1057. doi: 10.3934/dcdsb.2015.20.1031
[12]	Andrea Tosin, Paolo Frasca. Existence and approximation of probability measure solutions to models of collective behaviors. Networks & Heterogeneous Media, 2011, 6 (3) : 561-596. doi: 10.3934/nhm.2011.6.561
[13]	Simon Lloyd, Edson Vargas. Critical covering maps without absolutely continuous invariant probability measure. Discrete & Continuous Dynamical Systems - A, 2019, 39 (5) : 2393-2412. doi: 10.3934/dcds.2019101
[14]	Raz Kupferman, Asaf Shachar. On strain measures and the geodesic distance to $SO_n$ in the general linear group. Journal of Geometric Mechanics, 2016, 8 (4) : 437-460. doi: 10.3934/jgm.2016015
[15]	Anne-Sophie de Suzzoni. Continuity of the flow of the Benjamin-Bona-Mahony equation on probability measures. Discrete & Continuous Dynamical Systems - A, 2015, 35 (7) : 2905-2920. doi: 10.3934/dcds.2015.35.2905
[16]	Giulia Cavagnari. Regularity results for a time-optimal control problem in the space of probability measures. Mathematical Control & Related Fields, 2017, 7 (2) : 213-233. doi: 10.3934/mcrf.2017007
[17]	Fabio Paronetto. A Harnack type inequality and a maximum principle for an elliptic-parabolic and forward-backward parabolic De Giorgi class. Discrete & Continuous Dynamical Systems - S, 2017, 10 (4) : 853-866. doi: 10.3934/dcdss.2017043
[18]	Wen Wang, Dapeng Xie, Hui Zhou. Local Aronson-Bénilan gradient estimates and Harnack inequality for the porous medium equation along Ricci flow. Communications on Pure & Applied Analysis, 2018, 17 (5) : 1957-1974. doi: 10.3934/cpaa.2018093
[19]	Giuseppe Savaré. Self-improvement of the Bakry-Émery condition and Wasserstein contraction of the heat flow in $RCD (K, \infty)$ metric measure spaces. Discrete & Continuous Dynamical Systems - A, 2014, 34 (4) : 1641-1661. doi: 10.3934/dcds.2014.34.1641
[20]	Simona Fornaro, Maria Sosio, Vincenzo Vespri. Harnack type inequalities for some doubly nonlinear singular parabolic equations. Discrete & Continuous Dynamical Systems - A, 2015, 35 (12) : 5909-5926. doi: 10.3934/dcds.2015.35.5909

American Institute of Mathematical Sciences