Sharp tail inequalities for nonnegative submartingales and their strong differential subordinates
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1. | Title | Title of document | Sharp tail inequalities for nonnegative submartingales and their strong differential subordinates |
2. | Creator | Author's name, affiliation, country | Adam Osekowski; University of Warsaw |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Submartingale; Weak-type inequality; Strong differential subordination |
3. | Subject | Subject classification | 60G42; 60G44 |
4. | Description | Abstract | Let $f=(f_n)_{n\geq 0}$ be a nonnegative submartingale starting from $x$ and let $g=(g_n)_{n\geq 0}$ be a sequence starting from $y$ and satisfying $$|dg_n|\leq |df_n|,\quad |\mathbb{E}(dg_n|\mathcal{F}_{n-1})|\leq \mathbb{E}(df_n|\mathcal{F}_{n-1})$$ for $n\geq 1$. We determine the best universal constant $U(x,y)$ such that $$\mathbb{P}(\sup_ng_n\geq 0)\leq ||f||_1+U(x,y).$$ As an application, we deduce a sharp weak type $(1,1)$ inequality for the one-sided maximal function of $g$ and determine, for any $t\in [0,1]$ and $\beta\in\mathbb{R}$, the number $$ L(x,y,t,\beta)=\inf\{||f||_1: \mathbb{P}(\sup_ng_n\geq \beta)\geq t\}.$$ The estimates above yield analogous statements for stochastic integrals in which the integrator is a nonnegative submartingale. The results extend some earlier work of Burkholder and Choi in the martingale setting. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2010-10-26 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1582 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v15-1582 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 15 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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