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Fracton topological phases host fractionalized excitations that are either completely immobile or only mobile along certain lines or planes. We demonstrate how such phases can be understood in terms of two fundamentally different types of…

Strongly Correlated Electrons · Physics 2017-10-11 Timothy H. Hsieh , Gábor B. Halász

In this short note, we merge the areas of hypercomplex algebras with that of fractal interpolation and approximation. The outcome is a new holistic methodology that allows the modelling of phenomena exhibiting a complex self-referential…

Functional Analysis · Mathematics 2021-12-09 Peter R. Massopust

We exhibit a characteristic structure of the class of all regular graphs of degree d that stems from the spectra of their adjacency matrices. The structure has a fractal threadlike appearance. Points with coordinates given by the mean and…

Combinatorics · Mathematics 2007-08-30 V. Ejov , J. A. Filar , S. K. Lucas , P. Zograf

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 2009-11-07 M. K. Hassan , J. Kurths

In the previous paper arxiv:math/0610552 semisimple tensor categories were constructed out of certain regular Mal'cev categories. In this paper, we calculate the tensor product multiplicities and the categorical dimensions of the simple…

Category Theory · Mathematics 2025-01-13 Friedrich Knop

An overview is given of the methods for treating complicated problems without small parameters, when the standard perturbation theory based on the existence of small parameters becomes useless. Such complicated problems are typical of…

High Energy Physics - Phenomenology · Physics 2011-07-19 V. I. Yukalov , E. P. Yukalova

We establish asymptotics of growing one dimensional self-similar fractal graphs, they are networks that allow multiple weighted edges between nodes, in terms of quantum central limit theorems for algebraic probability spaces in pure state.…

Mathematical Physics · Physics 2024-01-30 Radhakrishnan Balu

We generalize a tensor-network algorithm to study thermodynamic properties of self-similar spin lattices constructed on a square-lattice frame with two types of couplings, $J_{1}^{}$ and $J_{2}^{}$, chosen to transform a regular square…

Statistical Mechanics · Physics 2022-03-08 Jozef Genzor , Andrej Gendiar , Ying-Jer Kao

Fractals, complex shapes with structure at multiple scales, have long been observed in Nature: as symmetric fractals in plants and sea shells, and as statistical fractals in clouds, mountains and coastlines. With their highly polished…

In recent years, a class of dictionaries have been proposed for multidimensional (tensor) data representation that exploit the structure of tensor data by imposing a Kronecker structure on the dictionary underlying the data. In this work, a…

Machine Learning · Statistics 2017-11-15 Mohsen Ghassemi , Zahra Shakeri , Anand D. Sarwate , Waheed U. Bajwa

The decomposition of correlation functions into conformal blocks is an indispensable tool in conformal field theory. For spinning correlators, non-trivial tensor structures are needed to mediate between the conformal blocks, which are…

High Energy Physics - Theory · Physics 2020-10-28 Ilija Buric , Mikhail Isachenkov , Volker Schomerus

In this paper, we present an effective method to characterize completely when a disconnected fractal square has only finitely many connected components. Our method is to establish some graph structures on fractal squares to reveal the…

General Topology · Mathematics 2021-05-05 Jian-Ci Xiao

The harmonic product of tensors---leading to the concept of harmonic factorization---has been defined in a previous work (Olive et al, 2017). In the practical case of 3D crack density measurements on thin or thick walled structures, this…

Classical Physics · Physics 2019-04-25 Rodrigue Desmorat , Boris Desmorat , Marc Olive , Boris Kolev

A novel tensor decomposition framework, termed Tensor Star (TS) decomposition, is proposed which represents a new type of tensor network decomposition based on tensor contractions. This is achieved by connecting the core tensors in a ring…

Image and Video Processing · Electrical Eng. & Systems 2024-09-10 Wuyang Zhou , Yu-Bang Zheng , Qibin Zhao , Danilo Mandic

The tensor power method generalizes the matrix power method to higher order arrays, or tensors. Like in the matrix case, the fixed points of the tensor power method are the eigenvectors of the tensor. While every real symmetric matrix has…

Numerical Analysis · Mathematics 2025-03-28 Tommi Muller , Elina Robeva , Konstantin Usevich

The Mandelbox is a recently discovered class of escape-time fractals which use a conditional combination of reflection, spherical inversion, scaling, and translation to transform points under iteration. In this paper we introduce a new…

Graphics · Computer Science 2018-09-07 Gregg Helt

Recent advances in deep learning have transformed many fields by introducing generic embedding spaces, capable of achieving great predictive performance with minimal labeling effort. The geology field has not yet met such success. In this…

Machine Learning · Computer Science 2021-08-23 Jonathan Kavitzky , Jonathan Zarecki , Idan Brusilovsky , Uriel Singer

This paper presents a detailed symbolic approach to the study of self-similar tilings. It uses properties of addresses associated with graph-directed iterated function systems to establish conjugacy properties of tiling spaces. Tiles may be…

Dynamical Systems · Mathematics 2020-11-30 Michael F. Barnsley , Louisa F. Barnsley , Andrew Vince

We generalize the Hyperbolic Fracton Model from the $\{5,4\}$ tessellation to generic tessellations, and investigate its core properties: subsystem symmetries, fracton mobility, and holographic correspondence. While the model on the…

Strongly Correlated Electrons · Physics 2026-04-16 Yosef Shokeeb , Ludovic D. C. Jaubert , Han Yan

In this paper we define a new class of weighted complex networks sharing several properties with fractal sets, and whose topology can be completely analytically characterized in terms of the involved parameters and of the fractal dimension.…

Other Condensed Matter · Physics 2014-01-10 Timoteo Carletti , Simone Righi