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arXiv 1802.09045math.PRmath.FA
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分式过程的精确谱渐近性

Exact spectral asymptotics of fractional processes

P. Chigansky, M. Kleptsyna, D. Marushkevych

摘要:

在随机过程理论和应用中经常出现特征值问题,但只有少数特征值问题有显式解。那些做的,通常是解决了减少到广义Sturm-Liouville理论的微分算子。这包括布朗运动和通过线性变换从布朗运动导出的一整类过程。对{ \em分数}布朗运动(f.B.m.)的解是不可解的封闭形式,但它的特征值和特征函数的精确渐近性可以得到,使用的方法的基础上的分析性质的拉普拉斯变换。在本文中,我们考虑与f.B.m.密切相关的两个过程:分数阶Ornstein-Uhlenbeck过程和积分分数阶布朗运动。虽然两者都来自f.B.m.通过简单的线性变换,相应的特征值问题变得复杂得多,其渐近结构表现出新的效果。

英文摘要:

Eigenproblems frequently arise in theory and applications of stochastic processes, but only a few have explicit solutions. Those which do, are usually solved by reduction to the generalized Sturm--Liouville theory for differential operators. This includes the Brownian motion and a whole class of processes, which derive from it by means of linear transformations. The more general eigenproblem for the {\em fractional} Brownian motion (f.B.m.) is not solvable in closed form, but the exact asymptotics of its eigenvalues and eigenfunctions can be obtained, using a method based on analytic properties of the Laplace transform. In this paper we consider two processes closely related to the f.B.m.: the fractional Ornstein--Uhlenbeck process and the integrated fractional Brownian motion. While both derive from the f.B.m. by simple linear transformations, the corresponding eigenproblems turn out to be much more complex and their asymptotic structure exhibits new effects.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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