Source: Kyoto J. Math. Volume 50, Number 3
(2010), 491-520.
Malliavin calculus is applicable to functionals of stable processes by using subordination. We prepare Malliavin calculus for stochastic differential equations driven by Brownian motions with deterministic time change, and the conditions that the existence and the regularity of the densities inherit from those of the densities of conditional probabilities. By using these, we prove regularity properties of the solutions of equations driven by subordinated Brownian motions. In [4] a similar problem is considered. In this article we consider more general cases. We also consider equations driven by rotation-invariant stable processes. We prove that the ellipticity of the equations implies the existence of the density of the solution, and we also prove that the regularity of the coefficients implies the regularity of the densities in the case when the equations are driven by one rotation-invariant stable process.
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References
[1] C. Dellacherie and P.-A. Meyer, Probabilities and Potential, B: Theory of Martingales, North-Holland Math. Stud. 72, North-Holland, Amsterdam, 1982.
Mathematical Reviews (MathSciNet):
MR745449
[2] N. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes, 2nd ed., North-Holland Math. Library 24, North-Holland, Amsterdam, 1989.
[3] S. Kusuoka and D. Stroock, “Application of the Malliavin calculus, I” in Stochastic Analysis (Kyoto/Katata, 1982), North-Holland Math. Library 32, North-Holland, Amsterdam, 1984, 271–306.
Mathematical Reviews (MathSciNet):
MR780762
[4] R. Léandre, “Calcul des variations sur un brownien subordonné” in Séminaire de Probabilitiés, XXII, Lecture Notes Math. 1321, Springer, Berlin, 1988, 414–433.
Mathematical Reviews (MathSciNet):
MR960537
[5] D. Nualart, The Malliavin Calculus and Related Topics, 2nd ed., Probab. Appl. (New York), Springer, Berlin, 2006.
[6] G. Di Nunno, B. Øksendal, and F. Proske, Malliavin Calculus for Lévy Processes with Applications to Finance, Universitext, Springer, Berlin, 2009.
[7] P. E. Protter, Stochastic Integration and Differential Equations, 2nd ed., version 2.1, corrected 3rd printing, Stoch. Model. Appl. Probab. 21, Springer, Berlin, 2005.
[8] I. Shigekawa, Stochastic Analysis, Transl. Math. Monogr. 224, Iwanami Ser. Modern Math., Amer. Math. Soc., Providence, 2004.
[9] E. M. Stein, Singular Integrals and Differentiability Properties of Functions, Princeton Math. Ser. 30, Princeton Univ. Press, Princeton, 1970.
Mathematical Reviews (MathSciNet):
MR290095