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AbdulRahman Al-Hussein

Publications and source records attributed to AbdulRahman Al-Hussein.

8 recordsLinked to original sources
arXiv2024

McKean-Vlasov forward-backward doubly stochastic differential equations and applications to stochastic control

This paper investigates first the existence and uniqueness of solutions for McKean-Vlasov forward-backward doubly stochastic differential equations (MV-FBDSDEs) in infinite-dimensional real separable Hilbert spaces. These equations combine the features of forward-backward doubly stochastic differential equations with the mean-field approach, allowing the coefficients to depend on the solution distribution. We establish the existence and uniqueness of solutions for MV-FBDSDEs using the method of continuation and provide an example and a counterexample to illustrate our findings. Moreover, we extend the practical applicability of our results by employing them within the context of the stochastic maximum principle for a control problem governed by MV-FBDSDEs. This study contributes to the field of stochastic control problems and presents the first analysis of MV-FBDSDEs in infinite-dimensional spaces.

math.PR↗
arXiv2018

Existence and uniqueness of the solutions of forward-backward doubly stochastic differential equations with Poisson jumps

The aim of this paper is to establish the existence and uniqueness of the solution to a system of nonlinear fully coupled forward-backward doubly stochastic differential equations with Poisson jumps. Our system is Markovian in the sense that initial and terminal values depend on solutions, and are not just fixed random variables. We establish under some monotonicity conditions, the existence and uniqueness of strong solutions of such equations by using a continuation method.

math.PR↗
arXiv2013

Necessary conditions for optimality for stochastic evolution equations

This paper is concerned with providing the maximum principle for a control problem governed by a stochastic evolution system on a separable Hilbert space. In particular, necessary conditions for optimality for this stochastic optimal control problem are derived by using the adjoint backward stochastic evolution equation. Moreover, all coefficients appearing in this system are allowed to depend on the control variable. We achieve our results through the semigroup approach.

math.OC↗
arXiv2013

Maximum principle for optimal control of forward-backward doubly stochastic differential equations with jumps

In this paper we consider the maximum principle of optimal control for a stochastic control problem. This problem is governed by a system of fully coupled multi-dimensional forward-backward doubly stochastic differential equation with Poisson jumps. Moreover, all the coefficients appearing in this system are allowed to be random and depend on the control variable. We derive, in particular, sufficient conditions for optimality for this stochastic optimal control problem.

math.OC↗
arXiv2012

Necessary and sufficient conditions of optimal control for infinite dimensional SDEs

A general maximum principle (necessary and sufficient conditions) for an optimal control problem governed by a stochastic differential equation driven by an infinite dimensional martingale is established. The solution of this equation takes its values in a separable Hilbert space and the control domain need not be convex. The result is obtained by using the adjoint backward stochastic differential equation.

math.PR↗
arXiv2012

Maximum principle for optimal control of stochastic partial differential equations

We shall consider a stochastic maximum principle of optimal control for a control problem associated with a stochastic partial differential equations of the following type: d x(t) = (A(t) x(t) + a (t, u(t)) x(t) + b(t, u(t)) dt + [<σ(t, u(t)), x(t)>_K + g (t, u(t))] dM(t), x(0) = x_0 \in K, with some given predictable mappings $a, b, σ, g$ and a continuous martingale $M$ taking its values in a Hilbert space $K,$ while $u(\cdot)$ represents a control. The equation is also driven by a random unbounded linear operator $A(t,w), \; t \in [0,T ], $ on $K .$ We shall derive necessary conditions of optimality for this control problem without a convexity assumption on the control domain, where $u(\cdot)$ lives, and also when this control variable is allowed to enter in the martingale part of the equation.

math.PR↗