2020
DOI: 10.1038/s41598-020-59187-w
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Rare events in generalized Lévy Walks and the Big Jump principle

Abstract: The prediction and estimate of rare events is an important task in disciplines that range from physics and biology, to economics and social science. A peculiar aspect of the mechanism that drives rare events is described by the so called Big Jump Principle. According to the principle, in heavytailed processes a rare huge fluctuation is caused by a single event and not by the usual coherent accumulation of small deviations. We consider generalized Lévy walks, a class of stochastic models with wide applications,… Show more

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Cited by 36 publications
(23 citation statements)
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“…The latter assumes fixed b, see Eq. (11). For large N , there is a non-negligible amount of W N −b which is not similar to this limit.…”
Section: B Large N Behaviour In the Scatter Plotmentioning
confidence: 85%
See 2 more Smart Citations
“…The latter assumes fixed b, see Eq. (11). For large N , there is a non-negligible amount of W N −b which is not similar to this limit.…”
Section: B Large N Behaviour In the Scatter Plotmentioning
confidence: 85%
“…Here, it is important that we don't fix b as previously in Eq. ( 10) and (11). We explain now both cases in detail.…”
Section: B Large N Behaviour In the Scatter Plotmentioning
confidence: 87%
See 1 more Smart Citation
“…However, the fraction of such fastest trajectories does necessarily decrease in time, since it approaches the set of exactly horizontal trajectories. With infinite horizon it would be possible in principle to describe the transport in polygonal channels in terms of the single big jump principle [43,54]. However, our results suggest that the sub leading ballistic contribution vanishes rapidly enough to affect the properties of transport.…”
Section: Discussionmentioning
confidence: 77%
“…Levy Flights. For jump processes with infinite second moment ie µ < 2 in (2) -called Levy flights [17,18,30,31], no exact results for the splitting probability are available for generic a µ , x 0 . We thus resort to numerical simulations to validate predictions (11) to (14) (see Fig.…”
mentioning
confidence: 99%