2013
DOI: 10.1098/rspa.2013.0419
|View full text |Cite
|
Sign up to set email alerts
|

Asymptotic behaviour of random walks with correlated temporal structure

Abstract: We introduce a continuous-time random walk process with correlated temporal structure. The dependence between consecutive waiting times is generated by weighted sums of independent random variables combined with a reflecting boundary condition. The weights are determined by the memory kernel, which belongs to the broad class of regularly varying functions. We derive the corresponding diffusion limit and prove its subdiffusive character. Analysing the set of corresponding coupled Langevin equations, we verify t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 19 publications
(15 citation statements)
references
References 33 publications
0
15
0
Order By: Relevance
“…In this paper we generally assume that waiting times and jump lengths are uncorrelated. For a discussion of the correlated case, we refer to [64][65][66][67][68][69][70]. A natural parametrisation of such a random walk is obtained in terms of the number n of jumps performed.…”
Section: Anomalous Processes With General Waiting Timesmentioning
confidence: 99%
“…In this paper we generally assume that waiting times and jump lengths are uncorrelated. For a discussion of the correlated case, we refer to [64][65][66][67][68][69][70]. A natural parametrisation of such a random walk is obtained in terms of the number n of jumps performed.…”
Section: Anomalous Processes With General Waiting Timesmentioning
confidence: 99%
“…Governing equations for the densities of the CTRW limits and the related fractional Cauchy problems were analyzed in [2,4,20,23,33,37,45]. Some recent results for particular classes of correlated and coupled CTRWs can be found in [17,24,30,31,47] The trajectories of CTRW are step functions, thus they are discontinuous. However, the usual physical requirement for a mathematical model is to have continuous realizations.…”
Section: Introductionmentioning
confidence: 99%
“…Examples are found in financial market dynamics [5], human motion patterns [6], and so on. Recently, these facts impel one to introduce the correlated CTRWs [7][8][9][10][11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
“…Magdziarz et al generalized these two models by combining the underlying correlation mechanisms for waiting times { } in the following manner [12]:…”
Section: Introductionmentioning
confidence: 99%