UNIFORM CONVERGENCE OF CONDITIONAL DISTRIBUTIONS FOR ABSORBED ONE-DIMENSIONAL DIFFUSIONS

被引:15
|
作者
Champagnat, Nicolas [1 ]
Villemonais, Denis [2 ]
机构
[1] Inria Nancy Grand Est, Villers Les Nancy, France
[2] Univ Lorraine, IECL, CNRS, UMR 7502, Campus Sci,BP 70239, F-54506 Vandoeuvre Les Nancy, France
关键词
One-dimensional diffusion; absorbed process; quasi-stationary distribution; uniform exponential mixing property; strict local martingale; one-dimensional process with jumps; QUASI-STATIONARY DISTRIBUTIONS; EXPONENTIAL CONVERGENCE;
D O I
10.1017/apr.2018.9
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we study the quasi-stationary behavior of absorbed one-dimensional diffusions. We obtain necessary and sufficient conditions for the exponential convergence to a unique quasi-stationary distribution in total variation, uniformly with respect to the initial distribution. An important tool is provided by one-dimensional strict local martingale diffusions coming down from infinity. We prove, under mild assumptions, that their expectation at any positive time is uniformly bounded with respect to the initial position. We provide several examples and extensions, including the sticky Brownian motion and some one-dimensional processes with jumps.
引用
收藏
页码:178 / 203
页数:26
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