An Osgood criterion for integral equations with applications to stochastic differential equations with an additive noise

被引:7
|
作者
Leon, Jorge A. [2 ]
Villa, Jose [1 ]
机构
[1] Univ Autonoma Aguascalientes, Dept Matemat & Fis, Aguascalientes 20131, Ags, Mexico
[2] Cinvestav IPN, Dept Automat Control, Mexico City 07000, DF, Mexico
关键词
Bifractional Brownian motion; Comparison theorem; Feller test; Osgood criterion; FRACTIONAL NOISE; BLOW-UP;
D O I
10.1016/j.spl.2010.12.001
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 use a comparison theorem for integral equations to show that the classical Osgood criterion can be applied to solutions of integral equations of the form X-t = a + integral(1)(0) b(X-s)ds + g(t), t >= 0. Here, g is a measurable function such that lim sup(t ->infinity) (inf(0 <= h <= 1) g(t +h)) = infinity, and b is a positive and non-decreasing function. Namely, we will see that the solution X explodes in finite time if and only if integral(infinity) ds/b(s) < infinity.As an example, we use the law of the iterated logarithm to see that the bifractional Brownian motion and some increasing self-similar Markov processes satisfy the above condition on g. In other words, g can represent the paths of these processes. (c) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:470 / 477
页数:8
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