Sharp maximal Lp-bounds for continuous martingales and their differential subordinates

被引:0
|
作者
Osekowski, Adam [1 ]
Zuo, Yahui [2 ]
机构
[1] Univ Warsaw, Fac Math Informat & Mech, Warsaw, Poland
[2] Cent South Univ, Sch Math & Stat, Changsha, Peoples R China
来源
关键词
martingale; stochastic integral; maximal inequality; differential subordination;
D O I
10.1214/21-EJP596
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
Suppose that X, Y are Hilbert-space-valued continuous-path martingales such that Y is differentially subordinate to X. The paper contains the proof of sharp estimates between p-th moments of Y and the maximal function of X for 0 < p < 1. The proof rests on Burkholder's method and exploits a certain special function of three variables, enjoying appropriate size and concavity requirements. The analysis reveals an unexpected phase transition between the cases 0 < p < 1/2 and 1/2 <= p < 1. The latter case is relatively simple: the special function is essentially quadratic and the best constant is equal to root 2/p. The analysis of the former case is much more intricate and involves the study of a non-linear ordinary differential equation.
引用
收藏
页数:22
相关论文
共 50 条