Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2021
DOI: 10.1103/physreve.103.022103
|View full text |Cite
|
Sign up to set email alerts
|

Continuous time random walks under Markovian resetting

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 26 publications
(14 citation statements)
references
References 35 publications
1
13
0
Order By: Relevance
“…The existence of the invariant distribution for the process X and its shape depends on signs of the parameters γ 0 , γ 1 , which determine the boundary conditions to equation (21).…”
Section: Invariant Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…The existence of the invariant distribution for the process X and its shape depends on signs of the parameters γ 0 , γ 1 , which determine the boundary conditions to equation (21).…”
Section: Invariant Measuresmentioning
confidence: 99%
“…First, we are interested in first passage probabilities of the Kac-Ornstein-Uhlenbeck process, Sections and . This subject is related to applications of persistent random walks which are still of interest, [17,20,21,27,33]. Second, we study invariant measures for Markov process which is formed by the Kac-Ornstein-Uhlenbeck process X and the underlying state process ε, X (t), ε(t) , Sections and .…”
Section: Introductionmentioning
confidence: 99%
“…Depending on the type of random walk and the characteristics of the resetting mechanism, the overall process may reach an equilibrium state [2] and have an optimal strategy to reach a fixed target [3]. The mean first passage time (MFPT) of a random walker to reach a target located at a given position has been often used to determine the efficiency of resetting for different types of motion [4] and reset time distributions [5][6][7]. In general, the presence of a safe and fresh reset renders the walker a new opportunity to reach the target whenever it gets far from it.…”
Section: Introductionmentioning
confidence: 99%
“…In the particular case where the resetting is Markovian (i.e. it restarts at a constant rate), this process has been shown to exhibit an optimal point for many types of random walk as in the case of a diffusive walker [8], subdiffusive [9,10], performing Lévy flights [11,12] or under a combination of long-distance jumps interrupted by rests of large duration [4]. Random walks under resetting in a bounded domain have also attracted some attention.…”
Section: Introductionmentioning
confidence: 99%
“…Two key features of diffusion processes with resetting are that (i) the system always achieves a nontrivial nonequilibrium steady state, and (ii) in the presence of a target, there exists an optimal rate for which the search time is finite and minimum [37,38]. No wonder the occurrence of such intriguing characteristics triggers exploring its different variants, namely, resetting with several processes such as continuous-time random walks [39], fractional Brownian motions [40], Lévy flights [41], underdamped diffusion [42], velocity-jump processes [43] and others [44,45]. Furthermore, the effect of various confining potentials [46][47][48] and diffusivities [49] on the resetting mechanism has been investigated thoroughly over the past few years.…”
Section: Introductionmentioning
confidence: 99%