PARKING ON THE INTEGERS
成果类型:
Article
署名作者:
Przykucki, Michal; Roberts, Alexander; Scott, Alex
署名单位:
University of Birmingham; University of Oxford
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/22-AAP1836
发表日期:
2023
页码:
876-901
关键词:
random-walks
摘要:
Models of parking in which cars are placed randomly and then move ac-cording to a deterministic rule have been studied since the work of Konheim and Weiss in the 1960s. Recently, Damron, Gravner, Junge, Lyu, and Sivakoff ((2019) Ann. Appl. Probab. 29 2089-2113) introduced a model in which cars are both placed and move at random. Independently at each point of a Cayley graph G, we place a car with probability p, and otherwise an empty parking space. Each car independently executes a random walk until it finds an empty space in which to park. In this paper we introduce three new techniques for studying the model, namely the space-based parking model, and the strategies for parking and for car removal. These allow us to study the original model by coupling it with models where parking behaviour is easier to control. Apply-ing our methods to the one-dimensional parking problem in Z, we improve on previous work, showing that for p < 1/2 the expected journey length of a car is finite, and for p = 1/2 the expected journey length by time t grows like t3/4 up to a polylogarithmic factor.