Twenty Years of Kaniadakis Entropy: Current Trends and Future Perspectives
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 29029
Special Issue Editors
Interests: statistical physics; space–time statistics; machine learning; hydrology; climate change; brain connectivity
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Interests: geophysics; statistical physics; image processing; inverse problems; data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: nonextensive statistical mechanics; nonlinear Fokker–Planck equations; geometry information; nonlinear Schroedinger equation; quantum groups and quantum algebras; complex systems
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Special Issue Information
Dear Colleagues,
Starting with three influential papers twenty years ago [Physica A 296, 405 (2001); Phys. Rev. E 66, 056125 (2002); Phys. Rev. E 72, 036108 (2005)], Giorgio Kaniadakis has pioneered the extension of Boltzmann's Stosszahlansatz (molecular chaos hypothesis) in the framework of special relativity by proposing a new entropy, which emerged as the relativistic generalization of the Boltzmann–Shannon entropy. The Kaniadakis entropy generates power-law tailed statistical distributions, which in the classical limit reduce to the Maxwell–Boltzmann exponential distribution.
This new entropy, also known as κ-entropy or κ-deformed entropy, is considered as one of the most viable candidates for explaining the experimentally observed power-law tailed statistical distributions in various physical, natural, and artificial, complex systems.
Following the introduction of the Kaniadakis entropy, more than 150 statistical physics papers contributed by more than 200 scientists have been published on the subject. Relevant advances have been made in the physical foundations and mathematical formalism of the theory, as well as its applications in statistical physics and thermodynamics, quantum statistics, quantum theory, plasma physics, nuclear fission, particle physics, astrophysics and cosmology, seismology and geophysics, waveform inversion, image processing, machine learning, networks, information theory and statistical sciences, fractal theory, genomics, biophysics, economics, finance, social sciences, and complex systems, among other topics.
The study of the Kaniadakis entropy and related functions is emerging as a rapidly developing research field which attracts a steadily increasing number of researchers from different countries and spans an ever-increasing domain of applications.
This Special Issue aims to collect high-quality review and original research papers, based on statistical physics and related fields, which focus on the Kaniadakis entropy and related probability distributions. The scope of this Special Issue includes papers focusing on mathematical formalism, theoretical foundations, and applications in all fields of science. Contributions that aim to provide synthesis of novel or recent results and/or address future prospects in this field are also welcome.
Dr. Dionissios T. Hristopulos
Dr. Sergio Luiz E. F. da Silva
Dr. Antonio M. Scarfone
Guest Editors
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