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A representation of frequency of strings of length K in complete genomes of many organisms in a square has led to seemingly self-similar patterns when K increases. These patterns are caused by under-represented strings with a certain…

Biological Physics · Physics 2015-06-26 Zu-Guo Yu , Bai-lin Hao , Hui-min Xie , Guo-Yi Chen

We consider a simple model of quantum disorder in two dimensions, characterized by a long-range site-to-site hopping. The system undergoes a metal-insulator transition -- its eigenfunctions change from being extended to being localized. We…

Disordered Systems and Neural Networks · Physics 2011-10-03 A. Ossipov , I. Rushkin , E. Cuevas

Using large scale numerical simulations we analyze the statistical properties of fracture in the two dimensional random spring model and compare it with its scalar counterpart: the random fuse model. We first consider the process of crack…

Materials Science · Physics 2009-11-11 Phani Kumar V. V. Nukala , Stefano Zapperi , Srdan Simunovic

Algorithms typically come with tunable parameters that have a considerable impact on the computational resources they consume. Too often, practitioners must hand-tune the parameters, a tedious and error-prone task. A recent line of research…

Machine Learning · Computer Science 2020-11-24 Maria-Florina Balcan , Tuomas Sandholm , Ellen Vitercik

We study the fractal scaling of iso-levels sets of a passive scalar mixed by three-dimensional homogeneous and isotropic turbulence at high Reynolds numbers. The Schmidt number is unity. A fractal box-counting dimension $D_F$ can be…

Fluid Dynamics · Physics 2020-05-06 Kartik P. Iyer , Jörg Schumacher , Katepalli R. Sreenivasan , P. K. Yeung

The local structure of a fractal set is described by its dimension $D$, which is the exponent of a power-law relating the mass ${\cal N}$ in a ball to its radius $\epsilon$: ${\cal N}\sim \epsilon^D$. It is desirable to characterise the…

Fluid Dynamics · Physics 2015-06-19 Michael Wilkinson , John Grant

Wireless mesh networks (WMNs) depend on the spatial distribution of nodes, which directly influences connectivity, routing efficiency, and overall network performance. Conventional models typically assume uniform or random node placement,…

Networking and Internet Architecture · Computer Science 2025-12-01 Marat Zaidyn , Sayat Akhtanov , Dana Turlykozhayeva , Symbat Temesheva , Almat Akhmetali , Alisher Skabylov , Nurzhan Ussipov

Although pretrained language models can be fine-tuned to produce state-of-the-art results for a very wide range of language understanding tasks, the dynamics of this process are not well understood, especially in the low data regime. Why…

Machine Learning · Computer Science 2020-12-25 Armen Aghajanyan , Luke Zettlemoyer , Sonal Gupta

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

Two-dimensional random Lorentz gases with absorbing traps are considered in which a moving point particle undergoes elastic collisions on hard disks and annihilates when reaching a trap. In systems of finite spatial extension, the…

Chaotic Dynamics · Physics 2015-06-26 I. Claus , P. Gaspard , H. van Beijeren

In this paper, we investigate the fractal uncertainty principle (FUP) for discrete Cantor sets, which are determined by an alphabet from a base of digits. Consider the base of M digits and the alphabets of cardinality A such that all the…

Classical Analysis and ODEs · Mathematics 2021-07-20 Suresh Eswarathasan , Xiaolong Han

This paper investigates the role of the augmentation parameter in the Finite Selection Model (FSM) and its impact on estimator performance. Through a comprehensive Monte Carlo simulation study, we analyze the sensitivity of bias, variance,…

Methodology · Statistics 2026-03-09 Safaa K. Kadhem

In attempting to quantify statistically the density structure of the interstellar medium, astronomers have considered a variety of fractal models. Here we argue that, to properly characterise a fractal model, one needs to define precisely…

Astrophysics of Galaxies · Physics 2020-02-14 M. L. Bates , A. P. Whitworth , O. D. Lomax

We introduce a model for the dynamics of mud cracking in the limit of of extremely thin layers. In this model the growth of fracture proceeds by selecting the part of the material with the smallest (quenched) breaking threshold. In…

Condensed Matter · Physics 2009-10-31 A. Gabrielli , R. Cafiero , G. Caldarelli

We consider the Harper model which describes two dimensional Bloch electrons in a magnetic field. For irrational flux through the unit-cell the corresponding energy spectrum is known to be a Cantor set with multifractal properties. In order…

Mesoscale and Nanoscale Physics · Physics 2016-08-31 Andreas Rudinger , Frederic Piechon

Self-similar space-filling bearings have been proposed some time ago as models for the motion of tectonic plates and appearance of seismic gaps. These models have two features which, however, seem unrealistic, namely, high symmetry in the…

Disordered Systems and Neural Networks · Physics 2007-05-23 R. Mahmoodi Baram , H. J. Herrmann

In this paper, we study the fractal dimension of the graph of a fractal transformation and also determine the quantization dimension of a probability measure supported on the graph of the fractal transformation. Moreover, we estimate the…

Dynamical Systems · Mathematics 2022-12-20 Manuj Verma , Amit Priyadarshi , Saurabh Verma

We analyze the fractal dimension of melodic contours and pitch time series of classical music and folk music tunes. The fractal dimensions obtained from box counting and detrended fluctuation analysis show significant differences. They are…

Disordered Systems and Neural Networks · Physics 2022-04-20 Maria H. Niklasson , Gunnar A. Niklasson

In this article, starting from a Gibbs capacity, we build a new random capacity by applying two simple operators, the first one introducing some redundancy and the second one performing a random sampling. Depending on the values of the two…

Metric Geometry · Mathematics 2023-06-02 Julien Barral , Stéphane Seuret

We study the geometrical features of the order parameter's fluctuations near the critical point of mixed-order phase transitions in randomly interdependent spatial networks. In contrast to continuous transitions, where the structure of the…

Disordered Systems and Neural Networks · Physics 2023-01-04 Bnaya Gross , Ivan Bonamassa , Shlomo Havlin