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L alpha-1 distance between two one-dimensional stochastic differential equations driven by a symmetric alpha-stable process

机译:L alpha-1在对称α稳定过程驱动的两个一维随机微分方程之间的距离

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摘要

In this article, we consider a coefficient stability problem for one-dimensional stochastic differential equations driven by an alpha-stable process with alpha is an element of(1,2). More precisely, we find an upper bound for the L alpha-1(Omega,P) distance between two solutions in terms of the L alpha(R, mu(alpha)(x0)) distance of the coefficients for an appropriate measure mu(alpha)(x0) which characterizes symmetric stable laws and depends on the initial value of the stochastic differential equation. We obtain this result using the method introduced by Komatsu (Proc Jpn Acad Ser A Math Sci 58(8):353-356, 1982) which is used in the proof of uniqueness of solutions together with an upper bound for the transition density function of the solution of the stochastic differential equation obtained by Kulik (The parametrix method and the weak solution to an SDE driven by an alpha-stable noise. arXiv:1412.8732, 2014).
机译:在本文中,我们考虑由α稳定过程驱动的一维随机微分方程的系数稳定性问题是(1,2)的元素。 更确切地说,我们在L alpha(r,mu(α)(x0))对适当的测量mu的距离( alpha)(x0)表征对称稳定定律,并取决于随机微分方程的初始值。 我们使用Komatsu引入的方法(Proc JPN Acad Ser Math SCI 58(8):353-356,1982)来获得此结果,该方法用于解决方案的唯一性证明以及过渡密度函数的上限 通过Kulik(参数法和通过α稳定噪声驱动的SDE的弱溶液获得的随机微分方程的溶液。Arxiv:1412.8732,2014)。

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