具有独立增量过程的指数泛函分布

IF 0.7 Q3 STATISTICS & PROBABILITY Modern Stochastics-Theory and Applications Pub Date : 2018-04-19 DOI:10.15559/20-vmsta159
L. Vostrikova
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引用次数: 4

摘要

本文的目的是研究具有独立增量的过程$X$,即$$I_t= \int _0^t\exp(-X_s)ds, \,\, t\geq 0,$$和$$I_{\infty}= \int _0^{\infty}\exp(-X_s)ds.$$的指数泛函的规律,在适当的条件下,我们推导了$I_t$和$I_{\infty}$的密度的积分微分方程。给出了这些泛函律光滑密度存在的充分条件。在列维过程的特殊情况下,这些方程可以简化,并且在许多情况下可以显式求解。
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On distributions of exponential functionals of the processes with independent increments
The aim of this paper is to study the laws of the exponential functionals of the processes $X$ with independent increments, namely $$I_t= \int _0^t\exp(-X_s)ds, \,\, t\geq 0,$$ and also $$I_{\infty}= \int _0^{\infty}\exp(-X_s)ds.$$ Under suitable conditions we derive the integro-differential equations for the density of $I_t$ and $I_{\infty}$. We give sufficient conditions for the existence of smooth density of the laws of these functionals. In the particular case of Levy processes these equations can be simplified and, in a number of cases, solved explicitly.
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来源期刊
Modern Stochastics-Theory and Applications
Modern Stochastics-Theory and Applications STATISTICS & PROBABILITY-
CiteScore
1.30
自引率
50.00%
发文量
0
审稿时长
10 weeks
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