2014
DOI: 10.1140/epjst/e2014-02333-5
|View full text |Cite
|
Sign up to set email alerts
|

Ageing single file motion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
9
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(9 citation statements)
references
References 60 publications
0
9
0
Order By: Relevance
“…In this limit the diffusion is ergodic, as we demonstrate in figure 3(A),B. This statement is not necessarily trivial: in many weakly non-ergodic systems the time averaged MSD turns out to be a linear function of the lag time Δ while the ensemble averaged MSD scales as a power-law or logarithmically in time t. This phenomenon was observed in a number of experiments [14,[54][55][56] and explained in terms of various stochastic processes [7,29,30,[111][112][113][114][115][116][117][118][119]. Figure 3(A) demonstrates both that to very good approximation ergodicity in the sense of the equality…”
Section: Time Averaged Msd and Ergodicity Breaking Parametermentioning
confidence: 68%
See 1 more Smart Citation
“…In this limit the diffusion is ergodic, as we demonstrate in figure 3(A),B. This statement is not necessarily trivial: in many weakly non-ergodic systems the time averaged MSD turns out to be a linear function of the lag time Δ while the ensemble averaged MSD scales as a power-law or logarithmically in time t. This phenomenon was observed in a number of experiments [14,[54][55][56] and explained in terms of various stochastic processes [7,29,30,[111][112][113][114][115][116][117][118][119]. Figure 3(A) demonstrates both that to very good approximation ergodicity in the sense of the equality…”
Section: Time Averaged Msd and Ergodicity Breaking Parametermentioning
confidence: 68%
“…3. This statement is not necessarily trivial: in many weakly non-ergodic systems the time averaged MSD turns out to be a linear function of the lag time ∆ while the ensemble averaged MSD scales as a power-law or logarithmically in time t. This phenomenon was observed in various experiments [13,42,43,44] and explained in terms of various stochastic processes [7,25,26,68,69,70,71,72,73]. Fig.…”
Section: Resultsmentioning
confidence: 95%
“…[83,84]), which is not surprising given its universal nature. The TP dynamics in single-files still represents a challenging playground for testing different analytical techniques and probing other properties: convergence of the distribution of X t to a Gaussian [78], explicit form of the distribution of X t at arbitrary, not necessarily large times in dense systems [89], the TP dynamics in the presence of a slower-than-diffusive environment [90], large deviations properties [91][92][93][94][95] and emerging correlations [70,[96][97][98][99][100]. Surprisingly, some unexpected features of this seemingly exhaustively well-studied process keep on being revealed: it was shown recently [101] (see also Refs.…”
Section: Unbiased Tracer Diffusionmentioning
confidence: 99%
“…biological channels 55 , transport in zeolites 56 , crowding effects in gene regulation 57,58 , superionic conductors 59 , and strongly correlated one-dimensional soft matter systems in general 60 . Over the past years diverse theoretical studies yielded deep insight about the anomalous tagged-particle diffusion [61][62][63][64][65][66][67][68][69] and the emergence and meaning of memory 35,70,71 . Single-file diffusion in potential landscapes has been studied by computer simulations 72 .…”
Section: Introductionmentioning
confidence: 99%