fractal time
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Author(s):  
Karmina Kamal Ali ◽  
Alireza Khalili Golmankhaneh ◽  
Resat Yilmazer

Abstract This article is devoted to propose and investigate the fractal battery discharging model, which is one of the well-known models with a memory effect. It is presented as to how non-locality affects the behavior of solutions and how the current state of the system is affected by its past. Firstly, we present a local fractal solution. Then we solve the non-local fractal differential equation and examine the memory effect that includes the Mittag-Leffler function with one parameter. For that aim, the local fractal and non-local fractal Laplace transforms are used to achieve fractional solutions. In addition, the simulation analysis is performed by comparing the underlying fractal derivatives to the classical ones in order to understand the significance of the results. The effects of the fractal parameter and the fractional parameter are discussed in the conclusion section.


2021 ◽  
Vol 31 (3) ◽  
pp. 033132
Author(s):  
Alireza Khalili Golmankhaneh ◽  
Karmina Kamal Ali ◽  
Resat Yilmazer ◽  
Kerri Welch

Author(s):  
Gary Drzewiecki
Keyword(s):  

2021 ◽  
Vol 103 (1) ◽  
pp. 759-773
Author(s):  
He Liu ◽  
Wanqing Song ◽  
Enrico Zio

2020 ◽  
Author(s):  
Oscar Sotolongo-Costa ◽  
José Weberszpil ◽  
Oscar Sotolongo-Grau

AbstractOne of the central tools to control the COVID-19 pandemics is the knowledge of its spreading dynamics. Here we develop a fractal model capable of describe this dynamics, in term of daily new cases, and provide quantitative criteria for some predictions. We propose a fractal dynamical model using conformed derivative and fractal time scale. A Burr-XII shaped solution of the fractal-like equation is obtained. The model is tested using data from several countries, showing that a single function is able to describe very different shapes of the outbreak. The diverse behavior of the outbreak on those countries is presented and discussed. Moreover, a criterion to determine the existence of the pandemic peak and a expression to find the time to reach herd immunity are also obtained.


Author(s):  
Ali Khalili Golmankhaneh ◽  
Saleh Ashrafi ◽  
Dumitru Baleanu ◽  
Arran Fernandez

AbstractIn this paper, we have investigated the Langevin and Brownian equations on fractal time sets using Fα-calculus and shown that the mean square displacement is not varied linearly with time. We have also generalized the classical method of deriving the Fokker–Planck equation in order to obtain the Fokker–Planck equation on fractal time sets.


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