2021
DOI: 10.1016/j.spa.2021.03.003
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Mixing time trichotomy in regenerating dynamic digraphs

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Cited by 6 publications
(4 citation statements)
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“…Non-backtracking random walks on configuration models that with high probability are connected were studied in a series of papers [4,5,6], which culminated in a general framework for studying mixing times of non-backtracking random walks on dynamic random graphs subject to mild regularity conditions. Mixing of random walks on directed configuration models was treated in [16].…”
Section: Background and Earlier Workmentioning
confidence: 99%
“…Non-backtracking random walks on configuration models that with high probability are connected were studied in a series of papers [4,5,6], which culminated in a general framework for studying mixing times of non-backtracking random walks on dynamic random graphs subject to mild regularity conditions. Mixing of random walks on directed configuration models was treated in [16].…”
Section: Background and Earlier Workmentioning
confidence: 99%
“…(This condition translates into the constraint that a random DFA does not display multiple edges with the same origin-destination pair.) We impose this condition for the mere scope of importing without changes all the results in [BCS19,CQ21b], which are based on this assumption.…”
Section: Conjecture 24 ([Fr17]mentioning
confidence: 99%
“…To which extent is the cutoff phenomenon robust? In the last few years, similar questions have been investigated in [AGHH19,CQ21a,CQ21b,AGHHN22]. Despite the models in the aforementioned papers are quite different, they can all be framed into a setting in which the perturbed chain is affected by the competition of two different mixing mechanisms: on the one hand, the abrupt convergence to equilibrium of the original chain, while, on the other hand, a smooth decay to equilibrium arising as an effect of the perturbation.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the models in the aforementioned papers are quite different, they can all be framed into a setting in which the perturbed chain is affected by the competition of two different mixing mechanisms: on the one hand, the abrupt convergence to equilibrium of the original chain, while, on the other hand, a smooth decay to equilibrium arising as an effect of the perturbation. Moreover, the models in [AGHH19, CQ21b,AGHHN22] share the common feature that the mixing stochastic process under investigation is not a Markov process itself, but rather a non-Markonian observable of a Markov process. A similar investigation, namely the analysis of mixing behavior of observables (or features or statistics) of Markov chains, has been recently performed in [W19a, W19b] in the context of card shuffling routines and related models.…”
Section: Introductionmentioning
confidence: 99%