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Stationary distributions for diffusions with inert drift
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Bass, Richard F., Burdzy, K. (Krzysztof), Chen, Zhen-Qing and Hairer, Martin. (2010) Stationary distributions for diffusions with inert drift. Probability Theory and Related Fields, Vol.146 (No.1-2). pp. 1-47. ISSN 0178-8051
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Official URL: http://dx.doi.org/10.1007/s00440-008-0182-6
Abstract
Consider reflecting Brownian motion in a bounded domain in $${\mathbb R^d}$$ that acquires drift in proportion to the amount of local time spent on the boundary of the domain. We show that the stationary distribution for the joint law of the position of the reflecting Brownian motion and the value of the drift vector has a product form. Moreover, the first component is uniformly distributed on the domain, and the second component has a Gaussian distribution. We also consider more general reflecting diffusions with inert drift as well as processes where the drift is given in terms of the gradient of a potential.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Faculty of Science > Mathematics |
| Library of Congress Subject Headings (LCSH): | Stochastic processes, Differential equations -- Numerical solutions, Markov processes -- Numerical solutions, Diffusion processes |
| Journal or Publication Title: | Probability Theory and Related Fields |
| Publisher: | Springer |
| ISSN: | 0178-8051 |
| Date: | January 2010 |
| Volume: | Vol.146 |
| Number: | No.1-2 |
| Page Range: | pp. 1-47 |
| Identification Number: | 10.1007/s00440-008-0182-6 |
| Status: | Peer Reviewed |
| Access rights to Published version: | Open Access |
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), National Science Foundation (U.S.) (NSF) |
| Grant number: | DMS-0601783 (NSF), DMS-0600206 (NSF), EP/D071593 (EPSRC) |
| References: | [1] R. Bass, Diffusions and Elliptic Operators. Berlin, Springer, 1997. [2] R. Bass, K Burdzy and Z.-Q. Chen, Uniqueness for reflecting Brownian motion in lip domains. Ann. Inst. Henri Poincare Probab. Statist. 41 (2005), 197-235. [3] R. F. Bass, K Burdzy and Z.-Q. Chen, Pathwise uniqueness for a degenerate stochastic differential equation. Ann. Probab. 35 (2007) 2385–2418. [4] R. F. Bass and P. Hsu, Some potential theory for reflecting Brownian motion in H¨older and Lipschitz domains. Ann. Probab. 19 (1991), 486–508. [5] M. Bena¨ım, M. Ledoux and O. Raimond, Self-interacting diffusions. Probab. Theory Related Fields 122, (2002), 1–41. [6] M. Bena¨ım and O. Raimond, Self-interacting diffusions. II. Convergence in law. Ann. Inst. H. Poincar´e Probab. Statist. 39, (2003), 1043–1055. [7] M. Bena¨ım and O. Raimond, Self-interacting diffusions. III. Symmetric interactions. Ann. Probab. 33, (2005), 1717–1759. [8] K. Burdzy, Multidimensional Brownian Excursions and Potential Theory, Longman Sci. Tech., Harlow, 1987. [9] K. Burdzy, R. Ho lyst and L. Pruski, Brownian motion with inert drift, but without flux: a model. Physica A 384 (2007) 278–284. [10] K. Burdzy and D. White, A Gaussian oscillator. Electron. Comm. Probab. 9 (2004) paper 10, pp. 92–95. [11] Z.-Q. Chen, On reflecting diffusion processes and Skorokhod decompositions. Probab. Theory Related Fields 94, (1993), 281–315. [12] G. Da Prato and J. Zabczyk, Ergodicity for Infinite-Dimensional Systems, Cambridge University Press 1996. [13] P. Dupuis and H. Ishii, SDEs with oblique reflection on nonsmooth domains. Ann. Probab. 21, (1993), 554–580. [14] S. N. Ethier and T. G. Kurtz, Markov Processes: Characterization and Convergence. John Wiley & Sons, 1986. [15] M. Fukushima, Y. Oshima and M. Takeda, Dirichlet Forms and Symmetric Markov Processes. de Gruyter, 1994. [16] L. H¨ormander, The Analysis of Linear Partial Differential Operators, Springer 1985. [17] P. Hsu, On excursions of reflecting Brownian motion. Trans. Amer. Math. Soc. 296 (1986), 239-264. [18] F. Knight, On the path of an inert object impinged on one side by a Brownian particle. Probab. Theory Related Fields 121, (2001) 577–598. [19] T. Kurtz and P. Protter, Weak Limit Theorems for Stochastic Integrals and Stochastic Differential Equations. Ann. Probab. 19, (1991), 1035–1070. [20] T.M. Liggett, Interacting Particle Systems. Springer-Verlag, New York, 1985. [21] P. L. Lions and A. S. Sznitman, Stochastic differential equations with reflecting boundary conditions. Comm. Pure Appl. Math. 37 (1984), 511-537. [22] B. Maisonneuve, Exit systems, Ann. Probability 3 (1975), no. 3, 399–411. [23] D. Nualart, The Malliavin Calculus and Related Topics. Springer 1995. [24] E. Pardoux and R. J. Williams, Symmetric reflected diffusions. Ann. Inst. H. Poincar Probab. Statist. 30 (1994), 13-62. [25] R. Pemantle, A survey of random processes with reinforcement. Probability Surveys 4, (2007) 1–79. [26] D. Revuz and M. Yor, Continuous Martingales and Brownian Motion, third edition. Springer 1999. [27] Y. Sinai, Topics in Ergodic Theory, Princeton University Press 1994, [28] D.W. Stroock and S.R.S. Varadhan, On the support of diffusion processes with applications to the strong maximum principle. In: Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Vol. III: Probability theory, 333–359. Univ. California Press, Berkeley, Calif., 1972. [29] D. White, Processes with inert drift. Ph.D. Thesis, University of Washington (2005) [30] D. White, Processes with inert drift. Mathematics ArXiv, preprint math.PR/0604052 (2006) [31] R.J. Williams and W. Zheng, On reflecting Brownian motion—a weak convergence approach. Ann. Inst. H. Poincar´e Probab. Statist. 26 (1990), no. 3, 461–488. [32] T. Yamada and S. Watanabe, On the uniqueness of solutions of stochastic differential equations. J. Math. Kyoto Univ. 11 (1971) 155–167. |
| URI: | http://wrap.warwick.ac.uk/id/eprint/2494 |
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