Abstract
Let (W, H, μ) be the classical Wiener space and assume that \(U_{\lambda } = I_{W} + u_{\lambda }\) is an adapted perturbation of identity where the perturbation u λ is an H-valued map, defined up to μ-equivalence classes, such that its Lebesgue density \(s \rightarrow \dot{ u}_{\lambda }(s)\) is almost surely adapted to the canonical filtration of the Wiener space and depending measurably on a real parameter λ. Assuming some regularity for u λ, its Sobolev derivative and integrability of the divergence of the resolvent operator of its Sobolev derivative, we prove the almost sure and L p-regularity w.r. to λ of the estimation \(E[\dot{u}_{\lambda }(s)\vert \mathcal{U}_{\lambda }(s)]\) and more generally of the conditional expectations of the type \(E[F\mid \mathcal{U}_{\lambda }(s)]\) for nice Wiener functionals, where \((\mathcal{U}_{\lambda }(s),s \in [0,1])\) is the filtration which is generated by U λ. These results are applied to prove the invertibility of the adapted perturbations of identity, hence to prove the strong existence and uniqueness of functional SDE, convexity of the entropy and the quadratic estimation error, and finally to the information theory.
Received3/28/2011; Accepted 11/22/2011; Final 2/11/2012
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
p− denotes any p′ < p and q+ any q′ > q.
References
Duncan, T.: On the calculation of mutual information. SIAM J. Appl. Math. 19, 215–220 (1970)
Dunford, N., Schwartz, J.T.: Linear Operators, vol. 2. Interscience, New York (1967)
Feyel, D., Üstünel, A.S.: The notion of convexity and concavity on Wiener space. J. Funct. Anal. 176, 400–428 (2000)
Feyel, D., Üstünel, A.S.: Monge-Kantorovitch measure transportation and Monge-Ampère equation on Wiener space. Probab. Theor. Relat. Fields 128(3), 347–385 (2004)
Feyel, D., Üstünel, A.S.: Log-concave measures. TWMS J. Pure Appl. Math. 1(1), 92–105 (2010)
Fujisaki, M., Kallianpur, G., Kunita, H.: Stochastic differential equations for the non linear filtering problem. Osaka J. Math. 9, 19–40 (1972)
Guo, D., Shamai, S., Verdú, S.: Mutual information and minimum mean-square error in Gaussian channels. IEEE Trans. Inf. Theory 51(4), 1261–1282 (2005)
Gelfand, I.M., Yaglom, A.M.: Calculation of the amount of information about a random function contained in another such function. Usp. Mat. Nauk 12, 3–52 (1957) (transl. in Amer. Math. Soc. Transl. 12, 199–246, 1959)
Kadota, T.T., Zakai, M., Ziv, J.: Mutual information of the white Gaussian channel with and without feedback. IEEE Trans. Inf. Theory, IT-17(4), 368–371 (1971)
Mayer-Wolf, E., Zakai, M.: Some relations between mutual information and estimation error in Wiener space. Ann. Appl. Probab. 7(3), 1102–1116 (2007)
Pinsker, M.S.: Information and Information Stability of Random Variables and Processes. Holden-Day, San Francisco (1964)
Üstünel, A.S.: Introduction to analysis on Wiener space. In: Lecture Notes in Math, vol. 1610. Springer, Berlin (1995)
Üstünel, A.S.: Analysis on Wiener Space and Applications. http://arxiv.org/abs/1003.1649 (2010)
Üstünel, A.S.: A necessary and sufficient condition for the invertibility of adapted perturbations of identity on the Wiener space. C.R. Acad. Sci. Paris, Ser. I 346, 897–900 (2008)
Üstünel, A.S.: Entropy, invertibility and variational calculus of adapted shifts on Wiener space. J. Funct. Anal. 257(11), 3655–3689 (2009)
Üstünel, A.S.: Persistence of invertibility on the Wiener space. COSA, 4(2), 201–213 (2010)
Üstünel, A.S., Zakai, M.: Transformation of Measure on Wiener Space. Springer, Berlin (1999)
Üstünel, A.S., Zakai, M.: Sufficient conditions for the invertibility of adapted perturbations of identity on the Wiener space. Probab. Theory Relat. Fields 139, 207–234 (2007)
Villani, C.: Topics in optimal transportation. In: Graduate Series in Math., vol. 58. Amer. Math. Soc., Providence (2003)
Zakai, M.: On mutual information, likelihood ratios and estimation error for the additive Gaussian channel. IEEE Trans. Inform. Theory 51, 3017–3024 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this paper
Cite this paper
Üstünel, A.S. (2013). Parametric Regularity of the Conditional Expectations via the Malliavin Calculus and Applications. In: Viens, F., Feng, J., Hu, Y., Nualart , E. (eds) Malliavin Calculus and Stochastic Analysis. Springer Proceedings in Mathematics & Statistics, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5906-4_25
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5906-4_25
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-5905-7
Online ISBN: 978-1-4614-5906-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)