2021
DOI: 10.1142/s0217732321400022
|View full text |Cite
|
Sign up to set email alerts
|

Equilibrium and non-equilibrium statistical mechanics with generalized fractal derivatives: A review

Abstract: Fractal calculus generalizes ordinary calculus, offering a way to differentiate otherwise non-differentiable domains and phenomena. This paper discusses the equilibrium and non-equilibrium statistical mechanics involving fractal structure, as well as fractal temperature in the partition function.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 33 publications
(6 citation statements)
references
References 86 publications
0
6
0
Order By: Relevance
“…Several phenomena involving fractal time are very interesting, and it is important to study them [51,52]. Equilibrium and non-equilibrium statistical mechanics involving generalized fractal derivatives were reviewed [53].…”
Section: Fractional Brownian Motion On Fractal Setsmentioning
confidence: 99%
“…Several phenomena involving fractal time are very interesting, and it is important to study them [51,52]. Equilibrium and non-equilibrium statistical mechanics involving generalized fractal derivatives were reviewed [53].…”
Section: Fractional Brownian Motion On Fractal Setsmentioning
confidence: 99%
“…This type of calculus is algorithmic in nature and offers a more streamlined approach when compared to alternative methodologies [22][23][24]. Fractal calculus found generalization and application within the realm of physics, extending to stochastic equations and the establishment of Fourier and Laplace transforms [25][26][27][28][29][30][31][32]. The resolution of fractal delayed, neutral, and renewal delay differential equations with constant coefficients was accomplished using the method of steps and Laplace transforms [33].…”
Section: Introductionmentioning
confidence: 99%
“…The practical applicability of the variational method in describing dissipative dynamical systems was showcased, and the Hamiltonian approach produced auxiliary constraints without reliance on Dirac auxiliary functions [44]. Furthermore, fractal stochastic differential equations have been defined, with categorizations for processes like fractional Brownian motion and diffusion occurring within mediums with fractal structures [45,46,47,48,49]. Local vector calculus within fractional-dimensional spaces, on fractals, and in fractal continua was developed.…”
Section: Introductionmentioning
confidence: 99%