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A Free Boundary Problem Arising from a Stochastic Optimal Control Model with Bounded Dividend Rate

机译:有界红利的随机最优控制模型引起的自由边界问题

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We consider a Barenblatt parabolic equation v_t-sup{1/2σ~2v_(xx)+μv_x-cv+l(1-v_x)}=0 (0≤l≤M) Arising from a financial stochastic optimal control model. In this model, the control variable l, which is bounded and lies in [0,M], should be chosen to optimize the objective function to take the maximum value. From the problem, it can be seen that l should be either 0 or M, which depends on whether v_x is greater than 1 or not. We divide the domain into two parts, {v_x > 1} and {v_x ≤ 1}. Thus, the junction of the two regions, that is, free boundary, has particular financial implications. It can be expressed as a functional form h(t). In this article, we not only prove the existence and uniqueness of the solution to this equation, but we also study the property of the free boundary h(t). We show that h(t) is a differentiable, nondecreasing function. We also present the shapes of h(t) in different cases. The most difficult point is to prove the concavity of the value function by stochastic analysis.
机译:我们考虑由金融随机最优控制模型产生的Barenblatt抛物线方程v_t-sup {1 /2σ〜2v_(xx)+μv_x-cv+ l(1-v_x)} = 0(0≤l≤M)。在此模型中,应选择有界且位于[0,M]中的控制变量l来优化目标函数,使其取最大值。从问题中可以看出,l应该为0或M,这取决于v_x是否大于1。我们将域分为两部分,{v_x> 1}和{v_x≤1}。因此,两个区域的交界处,即自由边界,具有特殊的财务影响。它可以表示为功能形式h(t)。在本文中,我们不仅证明了该方程解的存在性和唯一性,而且还研究了自由边界h(t)的性质。我们证明h(t)是可微的,不变量的函数。我们还介绍了在不同情况下h(t)的形状。最困难的一点是通过随机分析证明值函数的凹性。

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