期刊
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
卷 99, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cnsns.2021.105837
关键词
Non-Debye relaxation; Memory functions; Completely monotone and Bernstein; functions
类别
资金
- Polish National Center for Science (NCN) research grant OPUS12 [UMO-2016/23/B/ST3/01714]
- University of Rijeka, Croatia [uniri-pr-prirod-19-16]
This study examines the description of dielectric relaxation phenomena by non-Debye and non-exponential behavior, combining stochastic methods and fractional dynamics approaches to gain a new understanding of the evolution laws of relaxation phenomena.
The non-Debye, i.e., non-exponential, behavior characterizes a large plethora of dielectric relaxation phenomena. Attempts to find their theoretical explanation are dominated either by considerations rooted in the stochastic processes methodology or by the so-called fractional dynamics based on equations involving fractional derivatives which mimic the non-local time evolution and as such may be interpreted as describing memory effects. Using the recent results coming from the stochastic approach we link memory functions with the Laplace (characteristic) exponents of infinitely divisible probability distributions and show how to relate the latter with experimentally measurable spectral functions characterizing relaxation in the frequency domain. This enables us to incorporate phenomenological knowledge into the evolution laws. To illustrate our approach we consider the standard Havriliak-Negami and Jurlewicz-Weron-Stanislavsky models for which we derive welldefined evolution equations. Merging stochastic and fractional dynamics approaches sheds also new light on the analysis of relaxation phenomena which description needs going beyond using the single evolution pattern. We determine sufficient conditions under which such description is consistent with general requirements of our approach. (c) 2021 Elsevier B.V. All rights reserved.
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