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Dimensions of level sets of generic continuous functions and generic H\"older functions defined on a fractal $F$ encode information about the geometry, ``the thickness" of $F$. While in the continuous case this quantity is related to a…

Classical Analysis and ODEs · Mathematics 2024-10-10 Zoltán Buczolich , Balázs Maga , Gáspár Vértesy

Fractals and multifractals and their associated scaling laws provide a quantification of the complexity of a variety of scale invariant complex systems. Here, we focus on lattice multifractals which exhibit complex exponents associated with…

Statistical Mechanics · Physics 2009-04-14 W. -X. Zhou , D. Sornette

We consider the fragmentation process with mass loss and discuss self-similar properties of the arising structure both in time and space focusing on dimensional analysis. This exhibits a spectrum of mass exponents $\theta$, whose exact…

Statistical Mechanics · Physics 2016-08-31 M. K. Hassan

Here, we investigate the fractal-lattice Hubbard model using various numerical methods: exact diagonalization, the self-consistent diagonalization of a (mean-field) Hartree-Fock Hamiltonian and state-of-the-art Auxiliary-Field Quantum Monte…

Strongly Correlated Electrons · Physics 2024-09-18 Monica Conte , Vinicius Zampronio , Malte Röntgen , Cristiane Morais Smith

Using Voiculescu's notion of a matricial microstate we introduce fractal dimensions and entropies for finite sets of selfadjoint operators in a tracial von Neumann algebra. We show that they possess properties similar to their classical…

Operator Algebras · Mathematics 2007-05-23 Kenley Jung

Acoustic metamaterials are increasingly being considered as a viable technology for sound insulation. Fractal patterns constitute a potentially groundbreaking architecture for acoustic metamaterials. We describe in this work the behaviour…

Applied Physics · Physics 2023-03-30 Gianni Comandini , Morvan Ouisse , Valeska P. Ting , Fabrizio Scarpa

Recent progress in the design and fabrication of artificial two-dimensional (2D) materials paves the way for the experimental realization of electron systems moving on plane fractals. In this work, we present the results of computer…

Mesoscale and Nanoscale Physics · Physics 2016-03-30 Edo van Veen , Andrea Tomadin , Mikhail I. Katsnelson , Shengjun Yuan , Marco Polini

In many real complex networks, the fractal and self-similarity properties have been found. The fractal dimension is a useful method to describe fractal property of complex networks. Fractal analysis is inadequate if only taking one fractal…

Physics and Society · Physics 2014-03-03 Daijun Wei , Xiaowu Chen , Cai Gao , Haixin Zhang , Bo Wei , Yong Deng

Imagine that there is a gapless plane tessellated by irregular, convex pentagons with their side lengths at the sub-nanoscale, and tiny balls are placed at the vertices of each pentagon. If there are no interactions among these balls, one…

Materials Science · Physics 2019-03-11 Lei Liu , Immanuella Kankam , Houlong L. Zhuang

A theory of resource-bounded dimension is developed using gales, which are natural generalizations of martingales. When the resource bound \Delta (a parameter of the theory) is unrestricted, the resulting dimension is precisely the…

Computational Complexity · Computer Science 2007-05-23 Jack H. Lutz

The spatial Fourier spectrum of the electron density distribution in a finite 1D system and the distribution function of electrons over single-particle states are studied in detail to show that there are two universal features in their…

Strongly Correlated Electrons · Physics 2019-08-09 Yasha Gindikin , Vladimir A. Sablikov

We study the dissipative bi-stable Duffing oscillator with equal energy wells and observe fractal patterns in the parameter space of driving frequency, forcing amplitude, and damping ratio. Our numerical investigation reveals the Hausdorff…

Pattern Formation and Solitons · Physics 2023-11-21 Md Nahid Hasan , Taylor E. Greenwood , Robert G. Parker , Pai Wang , Yong Lin Kong

Fractal dimensions have been used as a quantitative measure for structure of eigenstates of quantum many-body systems, useful for comparison to random matrix theory predictions or to distinguish many-body localized systems from chaotic…

Disordered Systems and Neural Networks · Physics 2025-01-30 Tuomas I. Vanhala , Niklas Järvelin , Teemu Ojanen

Fractal structures pervade nature and are receiving increasing engineering attention towards the realization of broadband resonators and antennas. We show that fractal resonators can support the emergence of high-dimensional chaotic…

The boundaries of central place models proved to be fractal lines, which compose fractal texture of central place networks. A textural fractal can be employed to explain the scale-free property of regional boundaries such as border lines,…

Physics and Society · Physics 2020-03-12 Yanguang Chen

Fractal structure of a system suggests the optimal way in which parts arranged or put together to form a whole. The ideas from fractals have a potential application to the researches on urban sustainable development. To characterize fractal…

Physics and Society · Physics 2016-09-27 Yanguang Chen

Fundamental rules and definitions of Fractional Differintegrals are outlined. Factorizing 1-D and 2-D Helmholtz equations four fractional eigenfunctions are determined. The functions exhibit incident and reflected plane waves as well as…

Optics · Physics 2007-05-23 A. J. Turski , B. Atamaniuk , E. Turska

Fractals with different levels of self-similarity and magnification are defined as reduced fractals. It is shown that spectra of these reduced fractals can be constructed and used to describe levels of complexity of natural phenomena.…

Quantitative Methods · Quantitative Biology 2023-01-16 Diana T. Pham , Zdzislaw E. Musielak

In this paper, we prove the identity $\dim_{\textrm H}(F)=d\cdot \dim_{\textrm H}(\alpha^{-1}(F))$, where $\dim_{\textrm H}$ denotes Hausdorff dimension, $F\subseteq \mathbb{R}^d$, and $\alpha:[0,1]\to [0,1]^d$ is a function whose…

Metric Geometry · Mathematics 2019-03-29 M. A. Sánchez-Granero , M. Fernández-Martínez

To help understand the underlying mechanisms of neural networks (NNs), several groups have, in recent years, studied the number of linear regions $\ell$ of piecewise linear functions generated by deep neural networks (DNN). In particular,…

Machine Learning · Computer Science 2019-05-28 Nadav Dym , Barak Sober , Ingrid Daubechies