Temporal Complexity and Stochastic Central Limit Theorem
Description:
Complex processes whose evolution in time rests on the occurrence of a large and random number of intermittent events are the systems under study. The mean time distance between two consecutive events is infinite, thereby violating the ergodic condition and activating at the same time a stochastic central limit theorem that explains why the Mittag-Leffler function is a universal property of nature. The time evolution of these complex systems is properly generated by means of fractional differen…
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Date:
August 2014
Creator:
Pramukkul, Pensri
Partner:
UNT Libraries