2022
DOI: 10.1103/physreve.105.064104
|View full text |Cite
|
Sign up to set email alerts
|

Complete visitation statistics of one-dimensional random walks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

3
3

Authors

Journals

citations
Cited by 6 publications
(9 citation statements)
references
References 27 publications
0
4
0
Order By: Relevance
“…These multiple-time correlations are crucial to fully characterize the stochastic process { N ( t )}, the number of sites visited at every single time. However, they have been studied only for the special case of 1 d nearest-neighbor RWs 27 , 53 . Using our formalism we can further compute temporal correlations of { N ( t )} for compact Lévy flights in 1 d with 1/ μ = α > 1 (which do leave holes in their trajectories).…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…These multiple-time correlations are crucial to fully characterize the stochastic process { N ( t )}, the number of sites visited at every single time. However, they have been studied only for the special case of 1 d nearest-neighbor RWs 27 , 53 . Using our formalism we can further compute temporal correlations of { N ( t )} for compact Lévy flights in 1 d with 1/ μ = α > 1 (which do leave holes in their trajectories).…”
Section: Discussionmentioning
confidence: 99%
“…This observable quantifies the efficiency of various stochastic exploration processes, such as animal foraging 24 or the trapping of diffusing molecules 1 , 23 . While the average and, for some examples, the distribution of the number of distinct sites visited, have been determined analytically 5 , 25 27 , this information is far from a complete description. In this work, we show that the waiting time τ n , defined as the elapsed time between the visit to the n th and the ( n +1) st distinct, or new, sites characterizes the exploration dynamics in a more fundamental and comprehensive way (Fig.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This observable quantifies the efficiency of various stochastic exploration processes, such as animal foraging [17] or the trapping of diffusing molecules [16,19]. While the average and, for some examples, the distribution of the number of distinct sites visited, have been determined analytically [27,[30][31][32], this information is far from a complete description. In this work, we show that the waiting time τ n , defined as the elapsed time between the visit to the n th and the (n + 1) st distinct, or new, sites characterizes the exploration dynamics in a more fundamental and comprehensive way (Fig.…”
mentioning
confidence: 99%
“…Our theoretical approach for the set of inter-visit times τ also represents a start towards determining multipletime visitation correlations for general RWs, quantities that have remained inaccessible thus far. These multipletime correlations have been studied for the very special case of nearest-neighbor RWs, which have no holes in their trajectories [32,53]. Using our formalism we can further compute temporal correlations of {N (t)} for compact Lévy flights in 1d with α > 1 (which do leave holes in their trajectories).…”
mentioning
confidence: 99%