 Representations of acting processes and memory effects: General fractional derivative and its application to theory of heat conduction with finite wave speedsDazhi Zhao and Maokang Luo Applied Mathematics and Computation, 2019, vol. 346, issue C, 531-544 Abstract: Fractional derivative is a widely accepted theory to describe physical phenomena and processes with memory effect that is defined in the form of convolution with power kernel. Due to the shortcomings of power law distribution, some derivatives with other kernels are proposed, including Caputo–Fabrizio derivative, Atangana–Baleanu derivative and so on. In this paper, in order to provide some flexible and more appropriate tools which can better describe cases of the dynamics with memory effects or of nonlocal phenomena, we derive the definition of general fractional derivatives with memory effects named GC derivative and GRL derivative from some basic principles. We demonstrate that the mathematical expression of Gurtin–Pipkin theory of heat conduction with finite wave speeds is a special example of GC/GRL derivative. Keywords: General fractional derivative; Memory effect; Heat conduction; Heat waves; GC derivative; GRL derivative (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:346:y:2019:i:c:p:531-544 DOI: 10.1016/j.amc.2018.10.037 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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