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1.
It is shown that for continuous dynamical systems an analogue of the Poincaré recurrence theorem holds for Ω-limit sets. A similar result is proved for Ω-limit sets of random dynamical systems (RDS) on Polish spaces. This is used to derive that a random set which attracts every (deterministic) compact set has full measure with respect to every invariant probability measure for theRDS. Then we show that a random attractor coincides with the Ω-limit set of a (nonrandom) compact set with probability arbitrarily close to one, and even almost surely in case the base flow is ergodic. This is used to derive uniqueness of attractors, even in case the base flow is not ergodic. Entrata in Redazione il 10 marzo 1997.  相似文献
2.
We provide a short and elementary proof for the recently proved result by G. da Prato and H. Frankowska that - under minimal assumptions - a closed set is invariant with respect to a stochastic control system if and only if it is invariant with respect to the (associated) deterministic control system.  相似文献
3.
Following Kloeden and Platen [P.E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations, Springer-Verlag, Berlin, 1992] Taylor schemes are considered here as the starting point to obtain simplified Taylor schemes replacing the multiple integrals by simpler variables. The conditions that a group of variables has to fulfill so that the new scheme reaches weak-order 4.0 in the additive noise case are given explicitly, as well as the way to find such groups. For a particular selection, a pair of stochastic schemes with order 4.0 in the weak sense, correcting the one proposed in [P.E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations, Springer-Verlag, Berlin, 1992], is obtained.  相似文献
4.
This paper investigates a stochastic Lotka-Volterra system with infinite delay, whose initial data comes from an admissible Banach space Cr. We show that, under a simple hypothesis on the environmental noise, the stochastic Lotka-Volterra system with infinite delay has a unique global positive solution, and this positive solution will be asymptotic bounded. The asymptotic pathwise of the solution is also estimated by the exponential martingale inequality. Finally, two examples with their numerical simulations are provided to illustrate our result.  相似文献
5.
A strong solutions approximation approach for mild solutions of stochastic functional differential equations with Markovian switching driven by Lévy martingales in Hilbert spaces is considered. The Razumikhin–Lyapunov type function methods and comparison principles are studied in pursuit of sufficient conditions for the moment exponential stability and almost sure exponential stability of equations in which we are interested. The results of [A.V. Svishchuk, Yu.I. Kazmerchuk, Stability of stochastic delay equations of Itô form with jumps and Markovian switchings, and their applications in finance, Theor. Probab. Math. Statist. 64 (2002) 167–178] are generalized and improved as a special case of our theory.  相似文献
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7.
We extend the numerical methods of [Kushner, H.J. and Dupuis, P., 1992 Kushner, H.J. and Dupuis, P. 2001. Numerical Methods for Stochastic Control Problems in Continuous Time, 2nd ed., Berlin and New York: Springer-Verlag. [Crossref] [Google Scholar], Numerical Methods for Stochastic Control Problems in Continuous Time, 2nd ed., 2001 (Berlin and New York: Springer Verlag], known as the Markov chain approximation methods, to controlled general nonlinear delayed reflected diffusion models. Both the path and the control can be delayed. For the no-delay case, the method covers virtually all models of current interest. The method is robust, the approximations have physical interpretations as control problems closely related to the original one, and there are many effective methods for getting the approximations, and for solving the Bellman equation for low-dimensional problems. These advantages carry over to the delay problem. It is shown how to adapt the methods for getting the approximations, and the convergence proofs are outlined for the discounted cost function. Extensions to all of the cost functions of current interest as well as to models with Poisson jump terms are possible. The paper is particularly concerned with representations of the state and algorithms that minimize the memory requirements.  相似文献
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9.
Given a stochastic differential control system and a closed set K in Rn, we study the that, with probability one, the associated solution of the control system remains for ever in the set K. This set is called the viability kernel of K. If N is equal to the whole set K, K is said to be viable. We prove that, in the general case, the viability kernel itself is viable and we characterize it through some partial differential equations. We prove that, under suitable assumptions, also the boundary of N is viable. As an application, we give a new characterization of the value function of some optimal control problem.  相似文献
10.
We prove that a closed set K of a finite-dimensional space is invariant under the stochastic control system
dX=b(X,v(t))dt+σ(X,v(t))dW(t),v(t)∈U,  相似文献
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