Eventual Intersection for Sequences of Lévy Processes
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Eventual Intersection for Sequences of Lévy Processes |
2. | Creator | Author's name, affiliation, country | Steven N. Evans; University of California at Berkeley |
2. | Creator | Author's name, affiliation, country | Yuval Peres; University of California, Berkeley |
3. | Subject | Discipline(s) | Mathematics |
3. | Subject | Keyword(s) | Lévy process, hitting probability, range, graph, random measure, random set, stationary |
3. | Subject | Subject classification | 60J30, 60G17, 60G57, 60J45 |
4. | Description | Abstract | Consider the events $\{F_n \cap \bigcup_{k=1}^{n-1} F_k = \emptyset\}$, $n \in N$, where $(F_n)_{n=1}^\infty$ is an i.i.d. sequence of stationary random subsets of a compact group $G$. A plausible conjecture is that these events will not occur infinitely often with positive probability if $P\{F_i \cap F_j \ne \emptyset \mid F_j\} > 0$ a.s. for $i \ne j$. We present a counterexample to show that this condition is not sufficient, and give one that is. The sufficient condition always holds when $F_n = \{X_t^n : 0 \le t \le T\}$ is the range of a Lévy process $X^n$ on the $d$-dimensional torus with uniformly distributed initial position and $P\{\exists 0 \le s, t \le T : X_s^i = X_t^j \} > 0$ for $i \ne j$. We also establish an analogous result for the sequence of graphs $\{(t,X_t^n) : 0 \le t \le T\}$. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 1998-04-13 |
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/989 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v3-989 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 3 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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