Fractional derivatives as weighted average of historical values : an application to COVID-19 in Brazil
Michele Martins Lopes, Francielle Santo Pedro, José Paulo Carvalho dos Santos, Daniel Sánchez Ibáñez, Estevão Esmi, Laécio Carvalho de Barros
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Agradecimentos: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoa de Nível Superior - Brasil (CAPES) - Finance Code 001 and by CNPq under registration number 306546/2017-5
Abstract: The memory effect is an interesting tool that can be seen in fractional differential equations. To show this clearly, in this paper we prove that the Caputo derivative of a function ??, as well as the Riemann-Liouville integral and derivative, are proportional to a weighted average of the...
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Abstract: The memory effect is an interesting tool that can be seen in fractional differential equations. To show this clearly, in this paper we prove that the Caputo derivative of a function ??, as well as the Riemann-Liouville integral and derivative, are proportional to a weighted average of the historical values of ?? or ?? '. For this, we use the statistical expectation of functions, whose random variable follows a beta distribution. Moreover, through the respective probability density functions, for each operator we specify the weight of the historical values of the function to determine its current value, according to the values of the fractional order of the derivative. Furthermore, to prove the effectiveness of the memory effect to describe real phenomena, we compared a classic model with its fractional version to model COVID-19 in Brazil
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COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
001
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
306546/2017-5
Aberto
Fractional derivatives as weighted average of historical values : an application to COVID-19 in Brazil
Michele Martins Lopes, Francielle Santo Pedro, José Paulo Carvalho dos Santos, Daniel Sánchez Ibáñez, Estevão Esmi, Laécio Carvalho de Barros
Fractional derivatives as weighted average of historical values : an application to COVID-19 in Brazil
Michele Martins Lopes, Francielle Santo Pedro, José Paulo Carvalho dos Santos, Daniel Sánchez Ibáñez, Estevão Esmi, Laécio Carvalho de Barros
Fontes
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C.Q.D.: revista eletrônica paulista de matemática (Fonte avulsa) |