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On a random solution of a nonlinear perturbed stochastic integral equation of the Volterra type

Published online by Cambridge University Press:  17 April 2009

J. Susan Milton
Affiliation:
Radford College, Radford, Virginia, USA
Chris P. Tsokos
Affiliation:
Department of Mathematics, University of South Florida, Tampa, Florida, USA.
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Abstract

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The object of this present paper is to study a nonlinear perturbed stochastic integral equation of the form

where ω ∈ Ω, the supporting set of the complete probability measure space (Ω A, μ). We are concerned with the existence and uniqueness of a random solution to the above equation. A random solution, x(t; ω), of the above equation is defined to be a vector random variable which satisfies the equation μ almost everywhere.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1973

References

[1]Anderson, Marshall W., “A stochastic integral equation”, SIAM J. Appl. Math. 18 (1970), 526532.CrossRefGoogle Scholar
[2]Bharucha-Reid, A.T., “On random solutions of Fredholm integral equations”, Bull. Amer. Math. Soc. 66 (1960), 104109.CrossRefGoogle Scholar
[3]Bharucha-Reid, Albert T., “Sur les équations intégrales aléatoires de Fredholm à noyaux séparables”, C.R. Acad. Sci. Paris 250 (1960), 454456.Google Scholar
[4]Bharucha-Reid, Albert T., “Sur les équations intégrales aléatoires de Fredholm à noyaux séparables”, C.R. Acad. Sci. Parie. 250 (1960), 657658.Google Scholar
[5]Bharucha-Reid, A.T., “On the theory of random equations”, Proc. Sympos. Appl. Math., 16, 4069 (Amer. Math. Soc., Providence, Rhode Island, 1964).CrossRefGoogle Scholar
[6]Bharucha-Reid, A.T., Random integral equations (Academic Press, New York, 1972).Google Scholar
[7]Padgett, W.J. and Tsokos, C.P., “On a semi-stochastic model arising in a biological system”, Math. Biosci. 9 (1970), 105117.CrossRefGoogle Scholar
[8]Padgett, W.J. and Tsokos, C.P., “Existence of a solution of a stochastic integral equation in turbulence theory”, J. Mathematical Phys. 12 (1971), 210212.CrossRefGoogle Scholar
[9]Padgett, W.J. and Tsokos, C.P., “On a stochastic integral equation of the Volterra type in telephone traffic theory”, J. Appl. Probability 8 (1971), 269275.CrossRefGoogle Scholar
[10]Padgett, W.J. and Tsokos, C.P., “A random Fredholm integral equation”, Proc. Amer. Math. Soc. 33 (1972), 534542.CrossRefGoogle Scholar
[11]Padgett, W.J. and Tsokos, C.P., “A stochastic discrete Volterra equation with application to stochastic systems”, Proceedings Fifth Annual Princeton Conference on Information Science and Systems, Princeton University, 252603, 1971Google Scholar
[12]Tsokos, Chris P., “On a stochastic integral equation of the Volterra type”, Math. Systems Theory 3 (1969), 222231.CrossRefGoogle Scholar
[13]Tsokos, C.P., “On some nonlinear differential system with random parameters”, IEEE Proceedings, Third Annual Princeton Conference on Information Science and Systems, 1969, 228234.Google Scholar
[14]Tsokos, Chris P., “The method of V.M. Popov for differential systems with random parameters”, J. Appl. Probability 8 (1971). 298310.CrossRefGoogle Scholar
[15]Tsokos, Chris. P., Padgett, W.J., Random integral equations with applications to stochastic systems (Lecture Notes in Mathematics, 233. Springer-Verlag, Berlin, Heidelberg, New York, 1971).CrossRefGoogle Scholar