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A POWERED GRONWALL-TYPE INEQUALITY AND APPLICATIONS TO STOCHASTIC DIFFERENTIAL EQUATIONS

机译:幂级的Gronwall型不等式及其在随机微分方程中的应用

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In this paper we study a powered integral inequality involving a finite sum, which can be used to solve the inequalities with singular kernels. We present that the solution of the inequality is decided by a finite recursion, whose result is proved to be a continuous, bounded or asymptotic function. Mean-while, in order to overcome an obstacle from powers of integrals, we modify the method of monotonization into the powered monotonization. Furthermore, relying on the result and our technique of concavification, we discuss a generalized stochastic integral inequality, and give an estimate of the mean square. In the end, as applications, we study uniform boundedness and continuous dependence of solutions for a class of stochastic differential equation in mean square.
机译:在本文中,我们研究了涉及有限和的幂积分不等式,该积分不等式可用于求解奇异核的不等式。我们提出不等式的解是由有限递归决定的,其结果被证明是一个连续的,有界的或渐近的函数。同时,为了克服积分幂的障碍,我们将单调的方法修改为幂单调。此外,根据结果和我们的凹化技术,我们讨论了广义随机积分不等式,并给出了均方的估计。最后,作为应用,我们研究了均方中一类随机微分方程解的一致有界性和解的连续依赖性。

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