Abstract
In this paper, we investigate the a.s. asymptotic behavior of the solution of the stochastic differential equation dX(t) = g(X(t)) dt + σ(X(t))dW(t), X(0) ≢ 1, where g(·) and σ(·) are positive continuous functions, and W(·) is a standard Wiener process. By means of the theory of PRV functions we find conditions on g(·), σ(·), and ϕ(·) under which ϕ(X(·)) may be approximated a.s. by ϕ(μ(·)) on {X(t) → ∞}, where μ(·) is the solution of the ordinary differential equation dμ(t) = g(μ(t)) dt with μ(0) = 1.
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Published in Lietuvos Matematikos Rinkinys, Vol. 47, No. 4, pp. 445–465, October–December, 2007.
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Buldygin, V.V., Klesov, O.I. & Steinebach, J.G. PRV property and the ϕ-asymptotic behavior of solutions of stochastic differential equations. Lith Math J 47, 361–378 (2007). https://doi.org/10.1007/s10986-007-0025-7
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DOI: https://doi.org/10.1007/s10986-007-0025-7