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An approximate formula for calculating the expectations of functionals from random processes based on using the Wiener chaos expansion

  • Alexander Egorov ORCID logo EMAIL logo

Abstract

In this work, we propose a new method for calculating the mathematical expectation of nonlinear functionals from random processes. The method is based on using Wiener chaos expansion and approximate formulas, exact for functional polynomials of given degree. Examples illustrating approximation accuracy are considered.

MSC 2010: 65C20; 60H35

Appendix A Appendix

Here is information on approximate formulas from [6] for calculating the mathematical expectations of nonlinear functionals of random processes, which we use in the paper.

Polynomial functionals of the 𝑚-th degree from 𝑊 are

Pm(W())=g0+k=1m[0,T]kk=1mWtkdgk(t1,,tk),

where gk(t1,,tk) are the functions of bounded variation, g0=const.

Approximate formulas, exact for polynomial functionals of (2m+1)-th degree, are

(A.1)E[G(W())]k=1m(-1)m-kkmk!(m-k)!1Tk[-T,T]kG(θk(v,()))dvJ(2m+1)(G),

where θ(v,t)=1ki=1kρ(vi,t), ρ(vi,t)=1[0,t](vi)sign(vi).

References

[1] E. A. Ayryan, A. D. Egorov, V. B. Malyutin and L. A. Sevastianov, Approximate formulas for mathematical expectations of functionals of random processes defined by Ito–Levy multiple integral expansions, Math. Model. Geom. 5 (2017), no. 3, 1–15. 10.26456/mmg/2017-531Search in Google Scholar

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[3] A. D. Egorov and A. V. Zherelo, Approximations of functional integrals with respect to measure generated by solutions of stochastic differential equations., Monte Carlo Methods Appl. 10 (2004), no. 3–4, 257–264. 10.1515/mcma.2004.10.3-4.257Search in Google Scholar

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[5] W. Luo, Wiener chaos expansion and numerical solutions of stochastic partial differential equations, PhD thesis, California Institute of Technology, 2006. Search in Google Scholar

[6] P. I. Sobolevsky, A. D. Egorov and L. A. Yanovich, Functional Integrals: Approximate Evaluation and Applications, Kluwer Academic, Dordrecht, 1993. 10.1007/978-94-011-1761-6Search in Google Scholar

Received: 2020-04-17
Accepted: 2020-09-14
Published Online: 2020-10-07
Published in Print: 2020-12-01

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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