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A class of simplified measures is constructed to capture the key features of generic spatio-temporally chaotic systems. A combined analytical and numerical investigation allows us to extablish the scaling beahviour of the fractal dimension…

chao-dyn · Physics 2009-10-31 Antonio Politi , Annette Witt

City is proved to be a scale-free phenomenon, and spatial autocorrelation is often employed to analyze spatial redundancy of cities. Unfortunately, spatial analysis results deviated practical requirement in many cases due to fractal nature…

Physics and Society · Physics 2023-08-09 Meng Fu , Yanguang Chen

In this paper, we study the spectral problem on a compact Finsler manifold with or without boundary. More precisely, given a certain collection of sets in Sobolev space $H^{1,2}(M)$ and a dimension-like function, we can define a…

Differential Geometry · Mathematics 2019-07-02 Zhongmin Shen , Wei Zhao

For a family of fractal measures, we find an explicit Fourier duality. The measures in the pair have compact support in $\br^d$, and they both have the same matrix scaling. But the two use different translation vectors, one by a subset $B$…

Functional Analysis · Mathematics 2011-06-21 Dorin Ervin Dutkay , Palle E. T. Jorgensen

We extend Falconer's 1988 landmark result on the dimensions of self-affine fractals to encompass the dimensions of their projections, showing furthermore that their families of exceptional projections contain algebraic varieties which are…

Dynamical Systems · Mathematics 2025-02-07 Ian Morris , Cagri Sert

The method of spectral decimation is applied to an infinite collection of self--similar fractals. The sets considered belong to the class of nested fractals, and are thus very symmetric. An explicit construction is given to obtain formulas…

Analysis of PDEs · Mathematics 2018-08-27 Sergio A. Hernandez , Federico Menendez-Conde

We show how two level atoms can be used to determine the local time dependent spectrum. The method is applied to a one dimensional cavity. The spectrum obtained is compared with the mode spectrum determined using spatially filtered second…

Quantum Physics · Physics 2015-06-26 Martti Havukainen

A recently developed wavelet based approach is employed to characterize the scaling behavior of spectral fluctuations of random matrix ensembles, as well as complex atomic systems. Our study clearly reveals anti-persistent behavior and…

Chaotic Dynamics · Physics 2009-11-11 P. Manimaran , Prasanta K. Panigrahi , P. Anantha Lakshmi

Symmetries are known to dictate important physical properties and can be used as a design principle in particular in wave physics, including wave structures and the resulting propagation dynamics. Local symmetries, in the sense of a…

Quantum Physics · Physics 2023-03-27 P. Schmelcher

The affinity dimension is a number associated to an iterated function system of affine maps, which is fundamental in the study of the fractal dimensions of self-affine sets. De-Jun Feng and the author recently solved a folklore open…

Dynamical Systems · Mathematics 2013-09-19 Pablo Shmerkin

We show that in many parametrized families of self-similar measures, their projections, and their convolutions, the set of parameters for which the measure fails to be absolutely continuous is very small - of co-dimension at least one in…

Dynamical Systems · Mathematics 2016-07-29 Pablo Shmerkin , Boris Solomyak

Fractal surfaces are ubiquitous in nature as well as in the sciences. The examples range from the cloud boundaries to the corroded surfaces. Fractal dimension gives a measure of the irregularity in the object under study. We present a…

Geophysics · Physics 2014-12-10 Kiran M. Kolwankar , Nakul N. Karle

This paper presents the results of a comprehensive study on the optimization of the optical system for independent amplitude and phase wavefront manipulation, which is based on a digital micromirror device implementation. The parameters of…

Optics · Physics 2020-10-05 Alexandra Georgieva , Andrey Belashov , Nikolay V. Petrov

Quantification of the number of variables needed to locally explain complex data is often the first step to better understanding it. Existing techniques from intrinsic dimension estimation leverage statistical models to glean this…

Machine Learning · Computer Science 2023-12-13 Eric Yeats , Cameron Darwin , Frank Liu , Hai Li

Speckle patterns are used in a broad range of applications including microscopy, imaging, and light-matter interactions. Tailoring speckles' statistics can dramatically enhance their performance in applications. We present an experimental…

This paper presents a better approach to model an engineering problem in fractal-time space based on local fractional calculus. Some examples are given to elucidate to establish governing equations with local fractional derivative.

Mathematical Physics · Physics 2011-10-31 Xiao-Jun Yang

We introduce a local multifractal formalism adapted to functions, measures or distributions which display multifractal characteristics that can change with time, or location. We develop this formalism in a general framework and we work out…

Classical Analysis and ODEs · Mathematics 2012-09-19 Julien Barral , Arnaud Durand , Stéphane Jaffard , Stéphane Seuret

In this paper we give a physically transparent picture of singular-continuous spectrum in disordered systems which possess a non-ergodic extended phase. We present a simple model of identically and independently distributed level spacing in…

Disordered Systems and Neural Networks · Physics 2023-05-03 B. L. Altshuler , V. E. Kravtsov

In this paper, we explore the radial projection method for locally finite point sets and provide numerical examples for different types of order. The main question is whether the method is suitable to analyse order in a quantitive way. Our…

Dynamical Systems · Mathematics 2014-09-05 Michael Baake , Friedrich Götze , Christian Huck , Tobias Jakobi

This paper presents a method for computing local mean, variance, standard deviation, and effective sample count on incomplete gridded data using boundary-aware spectral operators. The framework combines normalized convolution with explicit…

Atmospheric and Oceanic Physics · Physics 2026-04-27 Jairo M. Valdivia-Prado , William E. Chapman , Katja Friedrich