Variational representations for continuous time processes

Amarjit Budhiraja; Paul Dupuis; Vasileios Maroulas

Annales de l'I.H.P. Probabilités et statistiques (2011)

  • Volume: 47, Issue: 3, page 725-747
  • ISSN: 0246-0203

Abstract

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A variational formula for positive functionals of a Poisson random measure and brownian motion is proved. The formula is based on the relative entropy representation for exponential integrals, and can be used to prove large deviation type estimates. A general large deviation result is proved, and illustrated with an example.

How to cite

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Budhiraja, Amarjit, Dupuis, Paul, and Maroulas, Vasileios. "Variational representations for continuous time processes." Annales de l'I.H.P. Probabilités et statistiques 47.3 (2011): 725-747. <http://eudml.org/doc/242555>.

@article{Budhiraja2011,
abstract = {A variational formula for positive functionals of a Poisson random measure and brownian motion is proved. The formula is based on the relative entropy representation for exponential integrals, and can be used to prove large deviation type estimates. A general large deviation result is proved, and illustrated with an example.},
author = {Budhiraja, Amarjit, Dupuis, Paul, Maroulas, Vasileios},
journal = {Annales de l'I.H.P. Probabilités et statistiques},
keywords = {variational representations; Poisson random measure; infinite-dimensional brownian motion; large deviations; jump-diffusions; variational representation; infinite-dimensional Brownian motion; stochastic differential equations},
language = {eng},
number = {3},
pages = {725-747},
publisher = {Gauthier-Villars},
title = {Variational representations for continuous time processes},
url = {http://eudml.org/doc/242555},
volume = {47},
year = {2011},
}

TY - JOUR
AU - Budhiraja, Amarjit
AU - Dupuis, Paul
AU - Maroulas, Vasileios
TI - Variational representations for continuous time processes
JO - Annales de l'I.H.P. Probabilités et statistiques
PY - 2011
PB - Gauthier-Villars
VL - 47
IS - 3
SP - 725
EP - 747
AB - A variational formula for positive functionals of a Poisson random measure and brownian motion is proved. The formula is based on the relative entropy representation for exponential integrals, and can be used to prove large deviation type estimates. A general large deviation result is proved, and illustrated with an example.
LA - eng
KW - variational representations; Poisson random measure; infinite-dimensional brownian motion; large deviations; jump-diffusions; variational representation; infinite-dimensional Brownian motion; stochastic differential equations
UR - http://eudml.org/doc/242555
ER -

References

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  1. [1] H. Bessaih and A. Millet. Large deviation principle and inviscid shell models. Electron. J. Probab. (2009) 14 2551–2579. Zbl1191.60074MR2570011
  2. [2] M. Boue and P. Dupuis. A variational representation for certain functionals of Brownian motion. Ann. Probab. 26 (1998) 1641–1659. Zbl0936.60059MR1675051
  3. [3] M. Boué, P. Dupuis and R. S. Ellis. Large deviations for small noise diffusions with discontinuous statistics. Probab. Theory Related Fields 116 (2000) 125–149. Zbl0949.60046MR1736592
  4. [4] A. Budhiraja and P. Dupuis. A variational representation for positive functional of infinite dimensional Brownian motions. Probab. Math. Statist. 20 (2000) 39–61. Zbl0994.60028MR1785237
  5. [5] A. Budhiraja, P. Dupuis and M. Fischer. Large deviation properties of weakly interacting processes via weak convergence methods. Ann. Probab. To appear. Zbl1242.60026
  6. [6] A. Budhiraja, P. Dupuis and V. Maroulas. Large deviations for infinite dimensional stochastic dynamical systems. Ann. Probab. 36 (2008) 1390–1420. Zbl1155.60024MR2435853
  7. [7] A. Budhiraja, P. Dupuis and V. Maroulas. Large deviations for stochastic flows of diffeomorphisms. Bernoulli 36 (2010) 234–257. Zbl05815970MR2648756
  8. [8] I. Chueshov and A. Millet. Stochastic 2D hydrodynamical type systems: Well posedness and large deviations. Appl. Math. Optim. 61 (2010) 379–420. Zbl1196.49019MR2609596
  9. [9] A. Du, J. Duan and H. Gao. Small probability events for two-layer geophysical flows under uncertainty. Preprint. 
  10. [10] J. Duan and A. Millet. Large deviations for the Boussinesq equations under random influences. Stochastic Process. Appl. 119 (2009) 2052–2081. Zbl1163.60315MR2519356
  11. [11] P. Dupuis and R. Ellis. A Weak Convergence Approach to the Theory of Large Deviations. Wiley, New York, 1997. Zbl0904.60001MR1431744
  12. [12] N. Ikeda and S. Watanabe. Stochastic Differential Equations and Diffusion Processes. North-Holland, Amsterdam, 1981. Zbl0684.60040MR637061
  13. [13] J. Jacod. A general theorem of representation for martingales. In Proceedings of Symposia in Pure Mathematics 31 37–53. Amer. Math. Soc., Providence, RI, 1977. Zbl0362.60068MR443074
  14. [14] J. Jacod and A. N. Shiryaev. Limit Theorems for Stochastic Processes. Springer, Berlin, 1987. Zbl1018.60002MR959133
  15. [15] H. J. Kushner. Numerical methods for stochastic control problems in continuous time. SIAM J. Control Optim. 28 (1990) 999–1048. Zbl0721.93087MR1064717
  16. [16] H. J. Kushner and P. Dupuis. Numerical Methods for Stochastic Control Problems in Continuous Time, 2nd edition. Springer, New York, 2001. Zbl0754.65068MR1800098
  17. [17] W. Liu. Large deviations for stochastic evolution equations with small multiplicative noise. Appl. Math. Optim. 61 (2010) 27–56. Zbl05774268MR2575313
  18. [18] U. Manna, S. S. Sritharan and P. Sundar. Large deviations for the stochastic shell model of turbulence. Nonlinear Differential Equations Appl. 16 (2009) 493–521. Zbl1180.60023MR2525514
  19. [19] J. Ren and X. Zhang. Freidlin–Wentzell’s large deviations for homeomorphism flows of non-Lipschitz SDEs. Bull. Sci. Math. 129 (2005) 643–655. Zbl1086.60036MR2166732
  20. [20] J. Ren and X. Zhang. Schilder theorem for the Brownian motion on the diffeomorphism group of the circle. J. Funct. Anal. 224 (2005) 107–133. Zbl1080.60024MR2139106
  21. [21] M. Rockner, T. Zhang and X. Zhang. Large deviations for stochastic tamed 3D Navier–Stokes equations. Appl. Math. Optim. 61 (2010) 267–285. Zbl1195.60093MR2585144
  22. [22] H. L. Royden. Real Analysis. Prentice Hall, Englewood Cliffs, NJ, 1988. Zbl1191.26002MR928805
  23. [23] S. S. Sritharan and P. Sundar. Large deviations for the two dimensional Navier–Stokes equations with multiplicative noise. Stochastic Process. Appl. 116 (2006) 1636–1659. Zbl1117.60064MR2269220
  24. [24] W. Wang and J. Duan. Reductions and deviations for stochastic partial differential equations under fast dynamical boundary conditions. Stoch. Anal. Appl. 27 (2009) 431–459. Zbl1166.60038MR2523176
  25. [25] D. Yang and Z. Hou. Large deviations for the stochastic derivative Ginzburg–Landau equation with multiplicative noise. Phys. D 237 (2008) 82–91. Zbl1172.60018MR2450925
  26. [26] X. Zhang. Euler schemes and large deviations for stochastic Volterra equations with singular kernels. J. Differential Equations 244 (2008) 2226–2250. Zbl1139.60329MR2413840
  27. [27] X. Zhang. A variational representation for random functionals on abstract Wiener spaces. J. Math. Kyoto Univ. 9 (2009) 475–490. Zbl1194.60037MR2583599
  28. [28] X. Zhang. Clark–Ocone formula and variational representation for Poisson functionals. Ann. Probab. 37 (2009) 506–529. Zbl1179.60037MR2510015
  29. [29] X. Zhang. Stochastic Volterra equations in Banach spaces and stochastic partial differential equations. J. Funct. Anal. 258 (2010) 1361–1425. Zbl1189.60124MR2565842

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