Annales de l'Institut Henri Poincaré, Probabilités et Statistiques

A Malliavin Calculus method to study densities of additive functionals of SDE’s with irregular drifts

Arturo Kohatsu-Higa and Akihiro Tanaka
Source: Ann. Inst. H. Poincaré Probab. Statist. Volume 48, Number 3 (2012), 871-883.

Abstract

We present a general method which allows to use Malliavin Calculus for additive functionals of stochastic equations with irregular drift. This method uses the Girsanov theorem combined with Itô–Taylor expansion in order to obtain regularity properties for this density. We apply the methodology to the case of the Lebesgue integral of a diffusion with bounded and measurable drift.

Résumé

On introduit une méthode générale qui permet l’utilisation du Calcul de Malliavin pour des fonctionnelles additives générées par des équations stochastiques avec une dérive irrégulière. Cette méthode utilise le théorème de Girsanov avec l’expansion d’Itô–Taylor pour obtenir la régularité de la densité. On applique cette méthodologie pour au cas de l’intégrale en temps d’une diffusion avec derive mesurable bornée.

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Primary Subjects: 60H07
Secondary Subjects: 60H10
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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aihp/1340714876
Digital Object Identifier: doi:10.1214/11-AIHP418
Zentralblatt MATH identifier: 06069318
Mathematical Reviews number (MathSciNet): MR2976567

References

[1] V. Bally. Lower bounds for the density of locally elliptic Itô processes. Ann. Probab. 34 (2006) 2406–2440.
Mathematical Reviews (MathSciNet): MR2294988
Digital Object Identifier: doi:10.1214/009117906000000458
Project Euclid: euclid.aop/1171377449
[2] R. F. Bass and E. Pardoux. Uniqueness for diffusions with piecewise constant coefficients. Probab. Theory Related Fields 76 (1987) 557–572.
Mathematical Reviews (MathSciNet): MR917679
Zentralblatt MATH: 0075.28002
Digital Object Identifier: doi:10.1007/BF00960074
[3] F. Flandoli. Remarks on uniqueness and strong solutions to deterministic and stochastic differential equations. Metrika 69 (2009) 101–123.
Mathematical Reviews (MathSciNet): MR2481917
Digital Object Identifier: doi:10.1007/s00184-008-0210-7
[4] E. Fedrizzi and F. Flandoli. Pathwise uniqueness and continuous dependence for SDEs with nonregular drift. Preprint, 2010.
[5] A. Figalli. Existence and uniqueness of martingale solutions for SDEs with rough or degenerate coefficients. J. Funct. Anal. 254 (2008) 109–153.
Mathematical Reviews (MathSciNet): MR2375067
Zentralblatt MATH: 1169.60010
Digital Object Identifier: doi:10.1016/j.jfa.2007.09.020
[6] I. Gyongy and T. Martinez. On stochastic differential equations with locally unbounded drift. Czechoslovak Math. J. 51 (2001) 763–783.
Mathematical Reviews (MathSciNet): MR1864041
Zentralblatt MATH: 1001.60060
[7] N. Ikeda and S. Watanabe. Stochastic Differential Equations and Diffusion Processes, 2nd edition. North-Holland, Kodansha, Amsterdam, 1989.
Mathematical Reviews (MathSciNet): MR1011252
[8] I. Karatzas and S. E. Shreve. Brownian Motion and Stochastic Calculus, 2nd edition. Springer-Verlag, New York, 1991.
Mathematical Reviews (MathSciNet): MR1121940
[9] A. Kohatsu-Higa. Lower bounds for densities of uniformly elliptic non-homogeneous diffusions. Proceedings of the Stochastic Inequalities Conference in Barcelona. Progr. Probab. 56 (2003) 323–338.
Mathematical Reviews (MathSciNet): MR2073439
Digital Object Identifier: doi:10.1007/978-3-0348-8069-5_18
[10] A. N. Krylov. On weak uniqueness for some diffusions with discontinuous coefficients. Stochastic. Process. Appl. 113 (2004) 37–64.
Mathematical Reviews (MathSciNet): MR2078536
Digital Object Identifier: doi:10.1016/j.spa.2004.03.012
[11] N. V. Krylov and M. Rockner. Strong solutions of stochastic equations with singular time dependent drift. Probab. Theory Related Fields 131 (2005) 691–708.
Mathematical Reviews (MathSciNet): MR2117951
Zentralblatt MATH: 1072.60050
Digital Object Identifier: doi:10.1007/s00440-004-0361-z
[12] S. Kusuoka and D. Stroock. Applications of the Malliavin calculus, Part I. Stochastic analysis. In Proceedings Taniguchi International Symposium Katata and Kyoto 1982 271–306. North Holland, Amsterdam, 1984.
Mathematical Reviews (MathSciNet): MR780762
Zentralblatt MATH: 0546.60056
[13] S. Kusuoka and D. Stroock. Applications of the Malliavin calculus, Part II. J. Fac. Sci. Univ. Tokyo Sect IA Math. 32 (1985) 1–76.
Mathematical Reviews (MathSciNet): MR783181
[14] S. Kusuoka and D. Stroock. Applications of the Malliavin calculus, Part III. J. Fac. Sci. Univ. Tokyo Sect IA Math. 34 (1987) 391–442.
Mathematical Reviews (MathSciNet): MR914028
[15] O. A. Ladyženskaja, V. A. Solonnikov and N. N. Ural’ceva. Linear and Quasilinear Equations of Parabolic Type. Translations of Mathematical Monographs 23. Amer. Math. Soc., Providence, RI, 1968.
[16] C. Le Bris and P. L. Lions. Existence and uniqueness of solutions to Fokker–Planck type equations with irregular coefficients. Comm. Partial Differential Equations 33 (2008) 1272–1317.
Mathematical Reviews (MathSciNet): MR2450159
Zentralblatt MATH: 1157.35301
Digital Object Identifier: doi:10.1080/03605300801970952
[17] C. Le Bris and P. L. Lions. Renormalized solutions of some transport equations with partially $W^{1,1}$ velocities and applications. Ann. Mat. Pura Appl. (4) 183 (2004) 97–130.
Mathematical Reviews (MathSciNet): MR2044334
Digital Object Identifier: doi:10.1007/s10231-003-0082-4
[18] P. Mathieu. Dirichlet processes associated to diffusions. Stochastics Stochastics Rep. 71 (2001) 165–176.
Mathematical Reviews (MathSciNet): MR1922563
Zentralblatt MATH: 0983.60074
[19] D. Nualart. Analysis on Wiener Space and Anticipating Stochastic Calculus. In Lectures on Probability Theory and Statistics: Ecole d’Ete de Probabilites de Saint-Flour XXV 123–227. Lecture Notes in Math. 1690, 1998.
Mathematical Reviews (MathSciNet): MR1668111
Zentralblatt MATH: 0132.37901
Digital Object Identifier: doi:10.1007/BFb0092538
[20] D. Nualart. The Malliavin Calculus and Related Topics. Springer-Verlag, Berlin, 2006.
Mathematical Reviews (MathSciNet): MR2200233
[21] D. Nualart. The Malliavin Calculus ans Its Applications. CBMS Regional Conference Series in Mathematics 110. Amer. Math. Soc., Providence, RI, 2009.
Mathematical Reviews (MathSciNet): MR2498953
[22] N. I. Portenko. Generalized Diffusion Processes. Translations of Mathematical Monographs 83. Amer. Math. Soc., Providence, RI, 1990.
Mathematical Reviews (MathSciNet): MR1104660
Zentralblatt MATH: 0915.60062
[23] P. E. Protter. Stochastic Integration and Differential Equations, 2nd edition. Springer-Verlag, New York, 2004.
Mathematical Reviews (MathSciNet): MR2020294
[24] D. Stroock. Diffusion semigroups corresponding to uniformly elliptic divergence form operators. In Séminaire de probabilités de Strasbourg XXII 316–347. Springer, Berlin, 1988.
Mathematical Reviews (MathSciNet): MR960535
Zentralblatt MATH: 0651.47031
[25] J. A. Verentennikov. On strong solutions and explicit formulas for solutions of stochastic integral equations. Math. USSR Sbornik 39 (1981) 387–403.
[26] S. Watanabe. Fractional order Sobolev spaces on Wiener space. Probab. Theory Related Fields 95 (1993) 175–198.
Mathematical Reviews (MathSciNet): MR1214086
Digital Object Identifier: doi:10.1007/BF01192269
[27] G. G. Yin and C. Zhu. Hybrid Switching Diffusions: Properties and Applications. Stochastic Modelling and Applied Probability 63. Springer, New York, 2010.
Mathematical Reviews (MathSciNet): MR2559912
[28] X. Zhang. Strong solutions of SDES with singular drift and Sobolev diffusion coefficients. Stochastic. Process. Appl. 115 (2005) 1805–1818.
Mathematical Reviews (MathSciNet): MR2172887
Zentralblatt MATH: 1078.60045
Digital Object Identifier: doi:10.1016/j.spa.2005.06.003

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Annales de l'Institut Henri Poincaré, Probabilités et Statistiques

Annales de l'Institut Henri Poincaré, Probabilités et Statistiques

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