An Introduction to Fractal Analysis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mathematics 412 Partial Differential Equations
Mathematics 412 Partial Differential Equations c S. A. Fulling Fall, 2005 The Wave Equation This introductory example will have three parts.* 1. I will show how a particular, simple partial differential equation (PDE) arises in a physical problem. 2. We’ll look at its solutions, which happen to be unusually easy to find in this case. 3. We’ll solve the equation again by separation of variables, the central theme of this course, and see how Fourier series arise. The wave equation in two variables (one space, one time) is ∂2u ∂2u = c2 , ∂t2 ∂x2 where c is a constant, which turns out to be the speed of the waves described by the equation. Most textbooks derive the wave equation for a vibrating string (e.g., Haber- man, Chap. 4). It arises in many other contexts — for example, light waves (the electromagnetic field). For variety, I shall look at the case of sound waves (motion in a gas). Sound waves Reference: Feynman Lectures in Physics, Vol. 1, Chap. 47. We assume that the gas moves back and forth in one dimension only (the x direction). If there is no sound, then each bit of gas is at rest at some place (x,y,z). There is a uniform equilibrium density ρ0 (mass per unit volume) and pressure P0 (force per unit area). Now suppose the gas moves; all gas in the layer at x moves the same distance, X(x), but gas in other layers move by different distances. More precisely, at each time t the layer originally at x is displaced to x + X(x,t). -
The Fractal Dimension of Islamic and Persian Four-Folding Gardens
Edinburgh Research Explorer The fractal dimension of Islamic and Persian four-folding gardens Citation for published version: Patuano, A & Lima, MF 2021, 'The fractal dimension of Islamic and Persian four-folding gardens', Humanities and Social Sciences Communications, vol. 8, 86. https://doi.org/10.1057/s41599-021-00766-1 Digital Object Identifier (DOI): 10.1057/s41599-021-00766-1 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Humanities and Social Sciences Communications General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 06. Oct. 2021 ARTICLE https://doi.org/10.1057/s41599-021-00766-1 OPEN The fractal dimension of Islamic and Persian four- folding gardens ✉ Agnès Patuano 1 & M. Francisca Lima 2 Since Benoit Mandelbrot (1924–2010) coined the term “fractal” in 1975, mathematical the- ories of fractal geometry have deeply influenced the fields of landscape perception, archi- tecture, and technology. Indeed, their ability to describe complex forms nested within each fi 1234567890():,; other, and repeated towards in nity, has allowed the modeling of chaotic phenomena such as weather patterns or plant growth. -
The Implications of Fractal Fluency for Biophilic Architecture
JBU Manuscript TEMPLATE The Implications of Fractal Fluency for Biophilic Architecture a b b a c b R.P. Taylor, A.W. Juliani, A. J. Bies, C. Boydston, B. Spehar and M.E. Sereno aDepartment of Physics, University of Oregon, Eugene, OR 97403, USA bDepartment of Psychology, University of Oregon, Eugene, OR 97403, USA cSchool of Psychology, UNSW Australia, Sydney, NSW, 2052, Australia Abstract Fractals are prevalent throughout natural scenery. Examples include trees, clouds and coastlines. Their repetition of patterns at different size scales generates a rich visual complexity. Fractals with mid-range complexity are particularly prevalent. Consequently, the ‘fractal fluency’ model of the human visual system states that it has adapted to these mid-range fractals through exposure and can process their visual characteristics with relative ease. We first review examples of fractal art and architecture. Then we review fractal fluency and its optimization of observers’ capabilities, focusing on our recent experiments which have important practical consequences for architectural design. We describe how people can navigate easily through environments featuring mid-range fractals. Viewing these patterns also generates an aesthetic experience accompanied by a reduction in the observer’s physiological stress-levels. These two favorable responses to fractals can be exploited by incorporating these natural patterns into buildings, representing a highly practical example of biophilic design Keywords: Fractals, biophilia, architecture, stress-reduction, -
Topics on Calculus of Variations
TOPICS ON CALCULUS OF VARIATIONS AUGUSTO C. PONCE ABSTRACT. Lecture notes presented in the School on Nonlinear Differential Equa- tions (October 9–27, 2006) at ICTP, Trieste, Italy. CONTENTS 1. The Laplace equation 1 1.1. The Dirichlet Principle 2 1.2. The dawn of the Direct Methods 4 1.3. The modern formulation of the Calculus of Variations 4 1 1.4. The space H0 (Ω) 4 1.5. The weak formulation of (1.2) 8 1.6. Weyl’s lemma 9 2. The Poisson equation 11 2.1. The Newtonian potential 11 2.2. Solving (2.1) 12 3. The eigenvalue problem 13 3.1. Existence step 13 3.2. Regularity step 15 3.3. Proof of Theorem 3.1 16 4. Semilinear elliptic equations 16 4.1. Existence step 17 4.2. Regularity step 18 4.3. Proof of Theorem 4.1 20 References 20 1. THE LAPLACE EQUATION Let Ω ⊂ RN be a body made of some uniform material; on the boundary of Ω, we prescribe some fixed temperature f. Consider the following Question. What is the equilibrium temperature inside Ω? Date: August 29, 2008. 1 2 AUGUSTO C. PONCE Mathematically, if u denotes the temperature in Ω, then we want to solve the equation ∆u = 0 in Ω, (1.1) u = f on ∂Ω. We shall always assume that f : ∂Ω → R is a given smooth function and Ω ⊂ RN , N ≥ 3, is a smooth, bounded, connected open set. We say that u is a classical solution of (1.1) if u ∈ C2(Ω) and u satisfies (1.1) at every point of Ω. -
Harmonic and Fractal Image Analysis (2001), Pp. 3 - 5 3
O. Zmeskal et al. / HarFA - Harmonic and Fractal Image Analysis (2001), pp. 3 - 5 3 Fractal Analysis of Image Structures Oldřich Zmeškal, Michal Veselý, Martin Nežádal, Miroslav Buchníček Institute of Physical and Applied Chemistry, Brno University of Technology Purkynova 118, 612 00 Brno, Czech Republic [email protected] Introduction of terms Fractals − Fractals are of rough or fragmented geometric shape that can be subdivided in parts, each of which is (at least approximately) a reduced copy of the whole. − They are crinkly objects that defy conventional measures, such as length and are most often characterised by their fractal dimension − They are mathematical sets with a high degree of geometrical complexity that can model many natural phenomena. Almost all natural objects can be observed as fractals (coastlines, trees, mountains, and clouds). − Their fractal dimension strictly exceeds topological dimension Fractal dimension − The number, very often non-integer, often the only one measure of fractals − It measures the degree of fractal boundary fragmentation or irregularity over multiple scales − It determines how fractal differs from Euclidean objects (point, line, plane, circle etc.) Monofractals / Multifractals − Just a small group of fractals have one certain fractal dimension, which is scale invariant. These fractals are monofractals − The most of natural fractals have different fractal dimensions depending on the scale. They are composed of many fractals with the different fractal dimension. They are called „multifractals“ − To characterise set of multifractals (e.g. set of the different coastlines) we do not have to establish all their fractal dimensions, it is enough to evaluate their fractal dimension at the same scale Self-similarity/ Semi-self similarity − Fractal is strictly self-similar if it can be expressed as a union of sets, each of which is an exactly reduced copy (is geometrically similar to) of the full set (Sierpinski triangle, Koch flake). -
THE IMPACT of RIEMANN's MAPPING THEOREM in the World
THE IMPACT OF RIEMANN'S MAPPING THEOREM GRANT OWEN In the world of mathematics, scholars and academics have long sought to understand the work of Bernhard Riemann. Born in a humble Ger- man home, Riemann became one of the great mathematical minds of the 19th century. Evidence of his genius is reflected in the greater mathematical community by their naming 72 different mathematical terms after him. His contributions range from mathematical topics such as trigonometric series, birational geometry of algebraic curves, and differential equations to fields in physics and philosophy [3]. One of his contributions to mathematics, the Riemann Mapping Theorem, is among his most famous and widely studied theorems. This theorem played a role in the advancement of several other topics, including Rie- mann surfaces, topology, and geometry. As a result of its widespread application, it is worth studying not only the theorem itself, but how Riemann derived it and its impact on the work of mathematicians since its publication in 1851 [3]. Before we begin to discover how he derived his famous mapping the- orem, it is important to understand how Riemann's upbringing and education prepared him to make such a contribution in the world of mathematics. Prior to enrolling in university, Riemann was educated at home by his father and a tutor before enrolling in high school. While in school, Riemann did well in all subjects, which strengthened his knowl- edge of philosophy later in life, but was exceptional in mathematics. He enrolled at the University of G¨ottingen,where he learned from some of the best mathematicians in the world at that time. -
Analyse D'un Modèle De Représentations En N Dimensions De
Analyse d’un modèle de représentations en n dimensions de l’ensemble de Mandelbrot, exploration de formes fractales particulières en architecture. Jean-Baptiste Hardy 1 Département d’architecture de l’INSA Strasbourg ont contribués à la réalisation de ce mémoire Pierre Pellegrino Directeur de mémoire Emmanuelle P. Jeanneret Docteur en architecture Francis Le Guen Fractaliste, journaliste, explorateur Serge Salat Directeur du laboratoire des morphologies urbaines Novembre 2013 2 Sommaire Avant-propos .................................................................................................. 4 Introduction .................................................................................................... 5 1 Introduction aux fractales : .................................................... 6 1-1 Présentation des fractales �������������������������������������������������������������������� 6 1-1-1 Les fractales en architecture ������������������������������������������������������������� 7 1-1-2 Les fractales déterministes ................................................................ 8 1-2 Benoit Mandelbrot .................................................................................. 8 1-2-1 L’ensemble de Mandelbrot ................................................................ 8 1-2-2 Mandelbrot en architecture .............................................................. 9 Illustrations ................................................................................................... 10 2 Un modèle en n dimensions : -
FETI-DP Domain Decomposition Method
ECOLE´ POLYTECHNIQUE FED´ ERALE´ DE LAUSANNE Master Project FETI-DP Domain Decomposition Method Supervisors: Author: Davide Forti Christoph Jaggli¨ Dr. Simone Deparis Prof. Alfio Quarteroni A thesis submitted in fulfilment of the requirements for the degree of Master in Mathematical Engineering in the Chair of Modelling and Scientific Computing Mathematics Section June 2014 Declaration of Authorship I, Christoph Jaggli¨ , declare that this thesis titled, 'FETI-DP Domain Decomposition Method' and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this University. Where any part of this thesis has previously been submitted for a degree or any other qualification at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly at- tributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exactly what was done by others and what I have contributed myself. Signed: Date: ii ECOLE´ POLYTECHNIQUE FED´ ERALE´ DE LAUSANNE Abstract School of Basic Science Mathematics Section Master in Mathematical Engineering FETI-DP Domain Decomposition Method by Christoph Jaggli¨ FETI-DP is a dual iterative, nonoverlapping domain decomposition method. By a Schur complement procedure, the solution of a boundary value problem is reduced to solving a symmetric and positive definite dual problem in which the variables are directly related to the continuity of the solution across the interface between the subdomains. -
An Improved Riemann Mapping Theorem and Complexity In
AN IMPROVED RIEMANN MAPPING THEOREM AND COMPLEXITY IN POTENTIAL THEORY STEVEN R. BELL Abstract. We discuss applications of an improvement on the Riemann map- ping theorem which replaces the unit disc by another “double quadrature do- main,” i.e., a domain that is a quadrature domain with respect to both area and boundary arc length measure. Unlike the classic Riemann Mapping Theo- rem, the improved theorem allows the original domain to be finitely connected, and if the original domain has nice boundary, the biholomorphic map can be taken to be close to the identity, and consequently, the double quadrature do- main close to the original domain. We explore some of the parallels between this new theorem and the classic theorem, and some of the similarities between the unit disc and the double quadrature domains that arise here. The new results shed light on the complexity of many of the objects of potential theory in multiply connected domains. 1. Introduction The unit disc is the most famous example of a “double quadrature domain.” The average of an analytic function on the disc with respect to both area measure and with respect to boundary arc length measure yield the value of the function at the origin when these averages make sense. The Riemann Mapping Theorem states that when Ω is a simply connected domain in the plane that is not equal to the whole complex plane, a biholomorphic map of Ω to this famous double quadrature domain exists. We proved a variant of the Riemann Mapping Theorem in [16] that allows the domain Ω = C to be simply or finitely connected. -
Fractal Analysis of the Vascular Tree in the Human Retina
3 Jun 2004 22:39 AR AR220-BE06-17.tex AR220-BE06-17.sgm LaTeX2e(2002/01/18) P1: IKH 10.1146/annurev.bioeng.6.040803.140100 Annu. Rev. Biomed. Eng. 2004. 6:427–52 doi: 10.1146/annurev.bioeng.6.040803.140100 Copyright c 2004 by Annual Reviews. All rights reserved First published online as a Review in Advance on April 13, 2004 FRACTAL ANALYSIS OF THE VASCULAR TREE IN THE HUMAN RETINA BarryR.Masters Formerly, Gast Professor, Department of Ophthalmology, University of Bern, 3010 Bern, Switzerland; email: [email protected] Key Words fractals, fractal structures, eye, bronchial tree, retinal circulation, retinal blood vessel patterns, Murray Principle, optimal vascular tree, human lung, human bronchial tree I Abstract The retinal circulation of the normal human retinal vasculature is statis- tically self-similar and fractal. Studies from several groups present strong evidence that the fractal dimension of the blood vessels in the normal human retina is approximately 1.7. This is the same fractal dimension that is found for a diffusion-limited growth process, and it may have implications for the embryological development of the retinal vascular system. The methods of determining the fractal dimension for branching trees are reviewed together with proposed models for the optimal formation (Murray Princi- ple) of the branching vascular tree in the human retina and the branching pattern of the human bronchial tree. The limitations of fractal analysis of branching biological struc- tures are evaluated. Understanding the design principles of branching vascular systems and the human bronchial tree may find applications in tissue and organ engineering, i.e., bioartificial organs for both liver and kidney. -
Harmonic Calculus on P.C.F. Self-Similar Sets
transactions of the american mathematical society Volume 335, Number 2, February 1993 HARMONIC CALCULUSON P.C.F. SELF-SIMILAR SETS JUN KIGAMI Abstract. The main object of this paper is the Laplace operator on a class of fractals. First, we establish the concept of the renormalization of difference operators on post critically finite (p.c.f. for short) self-similar sets, which are large enough to include finitely ramified self-similar sets, and extend the results for Sierpinski gasket given in [10] to this class. Under each invariant operator for renormalization, the Laplace operator, Green function, Dirichlet form, and Neumann derivatives are explicitly constructed as the natural limits of those on finite pre-self-similar sets which approximate the p.c.f. self-similar sets. Also harmonic functions are shown to be finite dimensional, and they are character- ized by the solution of an infinite system of finite difference equations. 0. Introduction Mathematical analysis has recently begun on fractal sets. The pioneering works are the probabilistic approaches of Kusuoka [11] and Barlow and Perkins [2]. They have constructed and investigated Brownian motion on the Sierpinski gaskets. In their standpoint, the Laplace operator has been formulated as the infinitesimal generator of the diffusion process. On the other hand, in [10], we have found the direct and natural definition of the Laplace operator on the Sierpinski gaskets as the limit of difference opera- tors. In the present paper, we extend the results in [10] to a class of self-similar sets called p.c.f. self-similar sets which include the nested fractals defined by Lindstrom [13]. -
Winning Financial Trading with Equilibrium Fractal Wave
Winning Financial Trading with Equilibrium Fractal Wave Subtitle: Introduction to Equilibrium Fractal Wave Trading Author: Young Ho Seo Finance Engineer and Quantitative Trader Book Version: 2.2 (16 October 2018) Publication Date: 13 February 2017 Total Pages counted in MS-Word: 121 Total Words counted in MS-Word: 14,500 [email protected] www.algotrading-investment.com About the book This book will introduce you the brand new concept called “Equilibrium fractal wave” for the financial trading. This powerful concept can guide and improve your practical trading. The concept taught here can also help the strategist to create new trading strategies for Stock and Forex market. Please note that this book was designed to introduce the equilibrium fractal wave concept mostly. If you are looking for more trading strategy oriented guidelines, then please read “Financial Trading with Five Regularities of Nature” instead of this book. You can find the Book “Financial Trading with Five Regularities of Nature”: Scientific Guide to Price Action and Pattern Trading (Seo, 2017) in both from amazon.com and algotrading-investment.com. 2 Risk Disclaimer The information in this book is for educational purposes only. Leveraged trading carries a high level of risk and is not suitable for all market participants. The leverage associated with trading can result in losses, which may exceed your initial investment. Consider your objectives and level of experience carefully before trading. If necessary, seek advice from a financial advisor. Important warning: If you find the figures and table numberings are mismatched in this book, please report it to: [email protected] 3 Table of Contents About the book ..................................................................................................................................