EconPapers    
Economics at your fingertips  
 

Some Limit Theorems for Heights of Random Walks on a Spider

Endre Csáki (), Miklós Csörgő (), Antónia Földes () and Pál Révész ()
Additional contact information
Endre Csáki: Hungarian Academy of Sciences
Miklós Csörgő: Carleton University
Antónia Földes: College of Staten Island, CUNY
Pál Révész: Technische Universität Wien

Journal of Theoretical Probability, 2016, vol. 29, issue 4, 1685-1709

Abstract: Abstract A simple random walk is considered on a spider that is a collection of half lines (we call them legs) joined at the origin. We establish a strong approximation of this random walk by the so-called Brownian spider. Transition probabilities are studied, and for a fixed number of legs we investigate how high the walker and the Brownian motion can go on the legs in n steps. The heights on the legs are also investigated when the number of legs goes to infinity.

Keywords: Random walk on a spider; Brownian spider; Transition probabilities; Strong approximations; Laws of the iterated logarithm; Brownian and random walk heights on spider; Primary: 60F05; 60F15; 60G50; Secondary: 60J65; 60J10 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10959-015-0626-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:29:y:2016:i:4:d:10.1007_s10959-015-0626-8

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959

DOI: 10.1007/s10959-015-0626-8

Access Statistics for this article

Journal of Theoretical Probability is currently edited by Andrea Monica

More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jotpro:v:29:y:2016:i:4:d:10.1007_s10959-015-0626-8