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We consider a trace theorem for self-similar Dirichlet forms on self-similar sets to self-similar subsets. In particular, we characterize the trace of the domains of Dirichlet forms on the Sierpinski gaskets and the Sierpinski carpets to…

Probability · Mathematics 2007-05-23 Masanori Hino , Takashi Kumagai

In this paper, we show how to construct the standard Laplacian on the unit square in a self-similar manner. We rewrite the familiar mean value property of planar harmonic functions in terms of averge values on small squares, from which we…

Functional Analysis · Mathematics 2016-11-28 Hua Qiu , Haoran Tian

This work shows that fractals can be obtained from Mechanical Laws without being forced by any algorithm, closing the gap between the Platonic world of Mathematics and Nature. Fractal tree crown directly emerges when applying elasticity…

Dynamical Systems · Mathematics 2020-12-03 Javier Rodríguez-Cuadrado , Jesús San Martín

We construct a theory of distributions in the setting of analysis on post-critically finite self-similar fractals, and on fractafolds and products based on such fractals. The results include basic properties of test functions and…

Functional Analysis · Mathematics 2009-03-25 Luke G. Rogers , Robert S. Strichartz

We consider a magnetic Laplacian with periodic magnetic potentials on periodic discrete graphs. Its spectrum consists of a finite number of bands, where degenerate bands are eigenvalues of infinite multiplicity. We obtain a specific…

Spectral Theory · Mathematics 2018-08-24 Evgeny Korotyaev , Natalia Saburova

In this manuscript we introduced the generalized fractional Riemann-Liouville and Caputo like derivative for functions defined on fractal sets. The Gamma, Mittag-Leffler and Beta functions were defined on the fractal sets. The non-local…

Classical Analysis and ODEs · Mathematics 2016-04-20 Alireza Khalili Golmankhaneh , Dumitru Baleanu

Motivated by the appearance of fractals in several areas of physics, especially in solid state physics and the physics of aperiodic order, and in other sciences, including the quantum information theory, we present a detailed spectral…

Mathematical Physics · Physics 2023-09-12 Elizabeth Melville , Gamal Mograby , Nikhil Nagabandi , Luke Rogers , Alexander Teplyaev

In this paper we introduce flat grafting as a deformation of quadratic differentials on a surface of finite type that is analogous to the grafting map on hyperbolic surfaces. Flat grafting maps are generic in the strata structure and…

Geometric Topology · Mathematics 2018-03-28 Ser-Wei Fu

Effective resistance (ER) is an attractive way to interrogate the structure of graphs. It is an alternative to computing the eigen-vectors of the graph Laplacian. Graph laplacians are used to find low dimensional structures in high…

Machine Learning · Computer Science 2023-06-30 Robi Bhattacharjee , Alex Cloninger , Yoav Freund , Andreas Oslandsbotn

In this work, we examine the relationship between geometry and spectrum of regions with fractal boundary. The relationship is well-understood for fractal harps in one dimension, but largely open for fractal drums in larger dimensions. To…

Mathematical Physics · Physics 2025-07-14 William Hoffer

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

This paper introduces the novel concept of fractal interpolation over curves in Banach spaces. The contents are based on the usual methodologies involving the fractal interpolation problem over intervals but the current approach…

Functional Analysis · Mathematics 2022-09-05 Peter R. Massopust

With this work we aim to show how Mathematica can be a useful tool to investigate properties of combinatorial structures. Specifically, we will face enumeration problems on independent subsets of powers of paths and cycles, trying to…

Mathematical Software · Computer Science 2013-07-05 Pietro Codara , Ottavio M. D'Antona

Obtaining sparse, interpretable representations of observable data is crucial in many machine learning and signal processing tasks. For data representing flows along the edges of a graph, an intuitively interpretable way to obtain such…

Social and Information Networks · Computer Science 2023-11-03 Josef Hoppe , Michael T. Schaub

The Heighway dragon curve is one of the most known fractal curves. There are two ways to construct the curve: repeatedly make a copy of the current curve, rotate it by 90 degrees, and connect them; or repeatedly replace each straight…

Programming Languages · Computer Science 2026-03-31 Ting-Wu Chang , Liang-Ting Chen , Shin-Cheng Mu

In this paper we present a method for constructing the continuous best fractal approximation in the space of bounded functions. We construct the finite-dimensional subspace of the space of bounded functions whose base consists of the…

Dynamical Systems · Mathematics 2014-03-31 Yong-Suk Kang , Chol-Hui Yun , Dong-Hyok Kim

Motivated by discrete Laplacian differential operators with various accuracy orders in numerical analysis, we introduce new matrices attached to a simple graph that can be considered graph Laplacians with higher accuracy. In particular, we…

Combinatorics · Mathematics 2025-04-09 Mary Yoon

This study proposes a method for producing an infinite number of fractals using aperiodic substitution tilings, exemplified by the Ammann Chair tiling. Higher-order substitutions of aperiodic tilings are utilized in relation to the…

Metric Geometry · Mathematics 2023-05-19 Kah Heng Lee

The asymptotic behaviour of the eigenvalue counting function of Laplacians on Hanoi attractors is determined. To this end, Dirichlet and resistance forms are constructed. Due to the non self-similarity of these sets, the classical…

Spectral Theory · Mathematics 2014-12-24 Patricia Alonso Ruiz , Uta Freiberg

In manifold learning, algorithms based on graph Laplacians constructed from data have received considerable attention both in practical applications and theoretical analysis. In particular, the convergence of graph Laplacians obtained from…

Machine Learning · Computer Science 2011-05-23 Xueyuan Zhou , Mikhail Belkin
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