scholarly journals Complexity and the Fractional Calculus

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Pensri Pramukkul ◽  
Adam Svenkeson ◽  
Paolo Grigolini ◽  
Mauro Bologna ◽  
Bruce West

We study complex processes whose evolution in time rests on the occurrence of a large and random number of events. The mean time interval between two consecutive critical events is infinite, thereby violating the ergodic condition and activating at the same time a stochastic central limit theorem that supports the hypothesis that the Mittag-Leffler function is a universal property of nature. The time evolution of these complex systems is properly generated by means of fractional differential equations, thus leading to the interpretation of fractional trajectories as the average over many random trajectories each of which satisfies the stochastic central limit theorem and the condition for the Mittag-Leffler universality.

Author(s):  
Shuang Tao ◽  
Jamol Pender

As more people move back into densely populated cities, bike sharing is emerging as an important mode of urban mobility. In a typical bike-sharing system (BSS), riders arrive at a station and take a bike if it is available. After retrieving a bike, they ride it for a while, then return it to a station near their final destinations. Since space is limited in cities, each station has a finite capacity of docks, which cannot hold more bikes than its capacity. In this paper, we study BSSs with stations having a finite capacity. By an appropriate scaling of our stochastic model, we prove a mean-field limit and a central limit theorem for an empirical process of the number of stations with k bikes. The mean-field limit and the central limit theorem provide insight on the mean, variance, and sample path dynamics of large-scale BSSs. We also leverage our results to estimate confidence intervals for various performance measures such as the proportion of empty stations, the proportion of full stations, and the number of bikes in circulation. These performance measures have the potential to inform the operations and design of future BSSs.


Author(s):  
Jamshaid Sarwar Malik ◽  
Ahmed Hemani ◽  
Jameel Nawaz Malik ◽  
Ben Silmane ◽  
Nasirud Din Gohar

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