Stochastic equations with multidimensional drift driven by Levy processes

被引:1
|
作者
Kurenok, V. P. [1 ]
机构
[1] Univ Wisconsin, Dept Nat & Appl Sci, 2420 Nicolet Dr, Green Bay, WI 54311 USA
关键词
Multidimensional Levy processes; stochastic differential equations; time-dependent drift; Krylov's estimates; weak convergence;
D O I
10.1163/156939706779801705
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
The stochastic equation dX(t) = dL(t) + a(t,X-t)dt, t >= 0, is considered where L is a d-dimensional Levy process with the characteristic exponent psi(xi), xi is an element of Bbb R, d >= 1. We prove the existence of (weak) solutions for a bounded, measurable coefficient a and any initial value X-o = x(o) is an element of R-d when (Re psi(xi)(1) = 0(vertical bar xi vertical bar) as vertical bar xi vertical bar -> infinity. The proof idea is based on Krylov's estimates for Levy processes with time -dependent drift and some variants of those estimates are derived in this note.
引用
收藏
页码:311 / 324
页数:14
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