2019
DOI: 10.1103/physreve.100.042103
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Anomalous diffusion under stochastic resettings: A general approach

Abstract: We present a general formulation of the resetting problem which is valid for any distribution of resetting intervals and arbitrary underlying processes. We show that in such a general case, a stationary distribution may exist even if the reset-free process is not stationary, as well as a significant decreasing in the mean first-passage time. We apply the general formalism to anomalous diffusion processes which allow simple and explicit expressions for Poissonian resetting events.

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Cited by 57 publications
(58 citation statements)
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References 43 publications
(99 reference statements)
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“…(41). Upon inserting the expression for ρ(N, R, t) into the discrete Laplace transform (45) and taking the trace of both sides of the equality, one eventually gets…”
Section: The Non-markovian Tilted Generator From Quantum Trajectoriesmentioning
confidence: 99%
See 1 more Smart Citation
“…(41). Upon inserting the expression for ρ(N, R, t) into the discrete Laplace transform (45) and taking the trace of both sides of the equality, one eventually gets…”
Section: The Non-markovian Tilted Generator From Quantum Trajectoriesmentioning
confidence: 99%
“…The more general case, where the times between consecutive resets are distributed according to a generic waiting time distribution p(τ ), can be analyzed within the so-called renewal equation approach, which relates the dynamics in the presence of resetting to the one where resets are absent, as shown in Refs. [41][42][43][44][45][46][47][48][49]. At the level of the master equation, non-Poissonian resetting is typically harder to treat than the Poissonian case.…”
mentioning
confidence: 99%
“…The system under resetting can feature a nonequilibrium stationary state, depending on the parameters of the resetting process [22]. Characterisation of such a non-equilibrium stationary sate has recently become a major focus of activity in statistical physics [23][24][25]. The field enjoys a broad range of applications including RNA polymerisation processes [26,27], active matter [28][29][30] and randomised searching problems [31] (see the review [32] and references therein).…”
Section: Introductionmentioning
confidence: 99%
“…While this "optimal resetting" paradigm has been tested and verified in a large number of recent theoretical and numerical studies [9,[11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] (see also the review [5]), it still needs to be verified experimentally (see, however, the recent preprint [29], where the authors use a holographic optical tweezer setup. Their resetting protocols though are quite different from ours).…”
mentioning
confidence: 99%