2020
DOI: 10.1088/1751-8121/ab69a5
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Asymptotic degeneracy and subdiffusivity

Abstract: The time-changing of processes by inverse subordinators is widely studied in the literature as models of subdiffusion driven by sporadic trapping. We reveal that increments of such subdiffusion processes may exhibit asymptotic degeneracy depending on the underlying stochastic temporal progression. Various surprising aspects of time-changed processes are discussed in light of asymptotic degeneracy, including diffusive dynamics and optimal inference. We also motivate asymptotic degeneracy as an important criteri… Show more

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Cited by 5 publications
(4 citation statements)
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“…When sample path generation via increments is possible, one important distinction between such a scheme and that of a Poisson truncation method is that in the latter, a terminal time T is fixed beforehand and cannot be extended during the simulation, whereas in the former, one can keep piling on as many increments as desired, possibly until some condition is fulfilled. An example of when this distinction is important is through a comparison between the settings of [105] and [18]. In the former, Poisson truncation of shot noise representation is used to generate sample paths of an inverse subordinator.…”
Section: Discussionmentioning
confidence: 99%
“…When sample path generation via increments is possible, one important distinction between such a scheme and that of a Poisson truncation method is that in the latter, a terminal time T is fixed beforehand and cannot be extended during the simulation, whereas in the former, one can keep piling on as many increments as desired, possibly until some condition is fulfilled. An example of when this distinction is important is through a comparison between the settings of [105] and [18]. In the former, Poisson truncation of shot noise representation is used to generate sample paths of an inverse subordinator.…”
Section: Discussionmentioning
confidence: 99%
“…When sample path generation via increments is possible, one important distinction between such a scheme and that of a Poisson truncation method is that in the latter, a terminal time T is fixed beforehand and cannot be extended during the simulation, whereas in the former, one can keep piling on as many increments as desired, possibly until some condition is fulfilled. An example of when this distinction is important is through a comparison between the settings of [106] and [18]. In the former, Poisson truncation of shot noise representation is used to generate sample paths of an inverse subordinator.…”
Section: Discussionmentioning
confidence: 99%
“…. We refer the reader to [53] for more detail about the asymptotic degeneracy of inverse subordinators.…”
Section: Theorem 33 (Regularity)mentioning
confidence: 99%
“…In the literature, the inverse stable subordinator has been investigated from a variety of perspectives for which we refer the reader to [61,62,44,63,53], to name just a few.…”
Section: A1 Inverse Stable Subordinatormentioning
confidence: 99%