Introduction to Chaos, Fractals and Dynamical Systems
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Fractals.Pdf
Fractals Self Similarity and Fractal Geometry presented by Pauline Jepp 601.73 Biological Computing Overview History Initial Monsters Details Fractals in Nature Brownian Motion L-systems Fractals defined by linear algebra operators Non-linear fractals History Euclid's 5 postulates: 1. To draw a straight line from any point to any other. 2. To produce a finite straight line continuously in a straight line. 3. To describe a circle with any centre and distance. 4. That all right angles are equal to each other. 5. That, if a straight line falling on two straight lines make the interior angles on the same side less than two right angles, if produced indefinitely, meet on that side on which are the angles less than the two right angles. History Euclid ~ "formless" patterns Mandlebrot's Fractals "Pathological" "gallery of monsters" In 1875: Continuous non-differentiable functions, ie no tangent La Femme Au Miroir 1920 Leger, Fernand Initial Monsters 1878 Cantor's set 1890 Peano's space filling curves Initial Monsters 1906 Koch curve 1960 Sierpinski's triangle Details Fractals : are self similar fractal dimension A square may be broken into N^2 self-similar pieces, each with magnification factor N Details Effective dimension Mandlebrot: " ... a notion that should not be defined precisely. It is an intuitive and potent throwback to the Pythagoreans' archaic Greek geometry" How long is the coast of Britain? Steinhaus 1954, Richardson 1961 Brownian Motion Robert Brown 1827 Jean Perrin 1906 Diffusion-limited aggregation L-Systems and Fractal Growth -
On the Mandelbrot Set for I2 = ±1 and Imaginary Higgs Fields
Journal of Advances in Applied Mathematics, Vol. 6, No. 2, April 2021 https://dx.doi.org/10.22606/jaam.2021.62001 27 On the Mandelbrot Set for i2 = ±1 and Imaginary Higgs Fields Jonathan Blackledge Stokes Professor, Science Foundation Ireland. Distinguished Professor, Centre for Advanced Studies, Warsaw University of Technology, Poland. Visiting Professor, Faculty of Arts, Science and Technology, Wrexham Glyndwr University of Wales, UK. Professor Extraordinaire, Faculty of Natural Sciences, University of Western Cape, South Africa. Honorary Professor, School of Electrical and Electronic Engineering, Technological University Dublin, Ireland. Honorary Professor, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa. Email: [email protected] Abstract We consider the consequence√ of breaking with a fundamental result in complex analysis by letting i2 = ±1 where i = −1 is the basic unit of all imaginary numbers. An analysis of the Mandelbrot set for this case shows that a demarcation between a Fractal and a Euclidean object is possible based on i2 = −1 and i2 = +1, respectively. Further, we consider the transient behaviour associated with the two cases to produce a range of non-standard sets in which a Fractal geometric structure is transformed into a Euclidean object. In the case of the Mandelbrot set, the Euclidean object is a square whose properties are investigate. Coupled with the associated Julia sets and other complex plane mappings, this approach provides the potential to generate a wide range of new semi-fractal structures which are visually interesting and may be of artistic merit. In this context, we present a mathematical paradox which explores the idea that i2 = ±1. -
Navigating the Landscape of Conflict: Applications of Dynamical Systems Theory to Addressing Protracted Conflict
Dynamics of Intractable Conflict Peter T. Coleman, PhD Robin Vallacher, PhD Andrzej Nowak, PhD International Center for Cooperation and Conflict Resolution Teachers College, Columbia University New York, NY, USA Why are some intergroup conflicts impossible to solve and what can we do to address them? “…one of the things that frustrates me about this conflict, thinking about this conflict, is that people don’t realize the complexity… how many stakeholders there are in there…I think there is a whole element to this particular conflict to where you start the story, to where you begin the narrative, and clearly it’s whose perspective you tell it from…One of the things that’s always struck me is that there are very compelling narratives to this conflict and all are true, in as much as anything is true… I think the complexity is on so many levels…It’s a complexity of geographic realities…the complexities are in the relationships…it has many different ethnic pockets… and I think it’s fighting against a place, where particularly in the United States, in American culture, we want to simplify, we want easy answers…We want to synthesize it down to something that people can wrap themselves around and take a side on…And maybe sometimes I feel overwhelmed…” (Anonymous Palestinian, 2002) Four Basic Themes An increasing degree of complexity and interdependence of elements. An underlying proclivity for change, development, and evolution within people and social-physical systems. Extraordinary cognitive, emotional, and behavioral demands…anxiety, hopelessness. Oversimplification of problems. Intractable Conflicts: The 5% Problem Three inter-related dimensions (Kriesberg, 2005): Enduring Destructive Resistant Uncommon but significant (5%; Diehl & Goertz, 2000) 5% of 11,000 interstate rivalries between 1816-1992. -
Iterated Function System Quasiarcs
CONFORMAL GEOMETRY AND DYNAMICS An Electronic Journal of the American Mathematical Society Volume 21, Pages 78–100 (February 3, 2017) http://dx.doi.org/10.1090/ecgd/305 ITERATED FUNCTION SYSTEM QUASIARCS ANNINA ISELI AND KEVIN WILDRICK Abstract. We consider a class of iterated function systems (IFSs) of contract- ing similarities of Rn, introduced by Hutchinson, for which the invariant set possesses a natural H¨older continuous parameterization by the unit interval. When such an invariant set is homeomorphic to an interval, we give necessary conditions in terms of the similarities alone for it to possess a quasisymmetric (and as a corollary, bi-H¨older) parameterization. We also give a related nec- essary condition for the invariant set of such an IFS to be homeomorphic to an interval. 1. Introduction Consider an iterated function system (IFS) of contracting similarities S = n {S1,...,SN } of R , N ≥ 2, n ≥ 1. For i =1,...,N, we will denote the scal- n n ing ratio of Si : R → R by 0 <ri < 1. In a brief remark in his influential work [18], Hutchinson introduced a class of such IFSs for which the invariant set is a Peano continuum, i.e., it possesses a continuous parameterization by the unit interval. There is a natural choice for this parameterization, which we call the Hutchinson parameterization. Definition 1.1 (Hutchinson, 1981). The pair (S,γ), where γ is the invariant set of an IFS S = {S1,...,SN } with scaling ratio list {r1,...,rN } is said to be an IFS path, if there exist points a, b ∈ Rn such that (i) S1(a)=a and SN (b)=b, (ii) Si(b)=Si+1(a), for any i ∈{1,...,N − 1}. -
An Introduction to Apophysis © Clive Haynes MMXX
Apophysis Fractal Generator An Introduction Clive Haynes Fractal ‘Flames’ The type of fractals generated are known as ‘Flame Fractals’ and for the curious, I append a note about their structure, gleaned from the internet, at the end of this piece. Please don’t ask me to explain it! Where to download Apophysis: go to https://sourceforge.net/projects/apophysis/ Sorry Mac users but it’s only available for Windows. To see examples of fractal images I’ve generated using Apophysis, I’ve made an Issuu e-book and here’s the URL. https://issuu.com/fotopix/docs/ordering_kaos Getting Started There’s not a defined ‘follow this method workflow’ for generating interesting fractals. It’s really a matter of considerable experimentation and the accumulation of a knowledge-base about general principles: what the numerous presets tend to do and what various options allow. Infinite combinations of variables ensure there’s also a huge serendipity factor. I’ve included a few screen-grabs to help you. The screen-grabs are detailed and you may need to enlarge them for better viewing. Once Apophysis has loaded, it will provide a Random Batch of fractal patterns. Some will be appealing whilst many others will be less favourable. To generate another set, go to File > Random Batch (shortcut Ctrl+B). Screen-grab 1 Choose a fractal pattern from the batch and it will appear in the main window (Screen-grab 1). Depending upon the complexity of the fractal and the processing power of your computer, there will be a ‘wait time’ every time you change a parameter. -
Language and Automata Theory and Applications
LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS Carlos Martín-Vide Characterization • It deals with the description of properties of sequences of symbols • Such an abstract characterization explains the interdisciplinary flavour of the field • The theory grew with the need of formalizing and describing the processes linked with the use of computers and communication devices, but its origins are within mathematical logic and linguistics A bit of history • Early roots in the work of logicians at the beginning of the XXth century: Emil Post, Alonzo Church, Alan Turing Developments motivated by the search for the foundations of the notion of proof in mathematics (Hilbert) • After the II World War: Claude Shannon, Stephen Kleene, John von Neumann Development of computers and telecommunications Interest in exploring the functions of the human brain • Late 50s XXth century: Noam Chomsky Formal methods to describe natural languages • Last decades Molecular biology considers the sequences of molecules formed by genomes as sequences of symbols on the alphabet of basic elements Interest in describing properties like repetitions of occurrences or similarity between sequences Chomsky hierarchy of languages • Finite-state or regular • Context-free • Context-sensitive • Recursively enumerable REG ⊂ CF ⊂ CS ⊂ RE Finite automata: origins • Warren McCulloch & Walter Pitts. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics, 5:115-133, 1943 • Stephen C. Kleene. Representation of events in nerve nets and -
Review On: Fractal Antenna Design Geometries and Its Applications
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume - 3 Issue -9 September, 2014 Page No. 8270-8275 Review On: Fractal Antenna Design Geometries and Its Applications Ankita Tiwari1, Dr. Munish Rattan2, Isha Gupta3 1GNDEC University, Department of Electronics and Communication Engineering, Gill Road, Ludhiana 141001, India [email protected] 2GNDEC University, Department of Electronics and Communication Engineering, Gill Road, Ludhiana 141001, India [email protected] 3GNDEC University, Department of Electronics and Communication Engineering, Gill Road, Ludhiana 141001, India [email protected] Abstract: In this review paper, we provide a comprehensive review of developments in the field of fractal antenna engineering. First we give brief introduction about fractal antennas and then proceed with its design geometries along with its applications in different fields. It will be shown how to quantify the space filling abilities of fractal geometries, and how this correlates with miniaturization of fractal antennas. Keywords – Fractals, self -similar, space filling, multiband 1. Introduction Modern telecommunication systems require antennas with irrespective of various extremely irregular curves or shapes wider bandwidths and smaller dimensions as compared to the that repeat themselves at any scale on which they are conventional antennas. This was beginning of antenna research examined. in various directions; use of fractal shaped antenna elements was one of them. Some of these geometries have been The term “Fractal” means linguistically “broken” or particularly useful in reducing the size of the antenna, while “fractured” from the Latin “fractus.” The term was coined by others exhibit multi-band characteristics. Several antenna Benoit Mandelbrot, a French mathematician about 20 years configurations based on fractal geometries have been reported ago in his book “The fractal geometry of Nature” [5]. -
Spatial Accessibility to Amenities in Fractal and Non Fractal Urban Patterns Cécile Tannier, Gilles Vuidel, Hélène Houot, Pierre Frankhauser
Spatial accessibility to amenities in fractal and non fractal urban patterns Cécile Tannier, Gilles Vuidel, Hélène Houot, Pierre Frankhauser To cite this version: Cécile Tannier, Gilles Vuidel, Hélène Houot, Pierre Frankhauser. Spatial accessibility to amenities in fractal and non fractal urban patterns. Environment and Planning B: Planning and Design, SAGE Publications, 2012, 39 (5), pp.801-819. 10.1068/b37132. hal-00804263 HAL Id: hal-00804263 https://hal.archives-ouvertes.fr/hal-00804263 Submitted on 14 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. TANNIER C., VUIDEL G., HOUOT H., FRANKHAUSER P. (2012), Spatial accessibility to amenities in fractal and non fractal urban patterns, Environment and Planning B: Planning and Design, vol. 39, n°5, pp. 801-819. EPB 137-132: Spatial accessibility to amenities in fractal and non fractal urban patterns Cécile TANNIER* ([email protected]) - corresponding author Gilles VUIDEL* ([email protected]) Hélène HOUOT* ([email protected]) Pierre FRANKHAUSER* ([email protected]) * ThéMA, CNRS - University of Franche-Comté 32 rue Mégevand F-25 030 Besançon Cedex, France Tel: +33 381 66 54 81 Fax: +33 381 66 53 55 1 Spatial accessibility to amenities in fractal and non fractal urban patterns Abstract One of the challenges of urban planning and design is to come up with an optimal urban form that meets all of the environmental, social and economic expectations of sustainable urban development. -
Introductory Course on Dynamical Systems Theory and Intractable Conflict DST Course Objectives
Introductory Course on Dynamical Systems Theory and Intractable Conflict Peter T. Coleman Columbia University December 2012 This self-guided 4-part course will introduce the relevance of dynamical systems theory for understanding, investigating, and resolving protracted social conflict at different levels of social reality (interpersonal, inter-group, international). It views conflicts as dynamic processes whose evolution reflects a complex interplay of factors operating at different levels and timescales. The goal for the course is to help develop a basic understanding of the dynamics underlying the development and transformation of intractable conflict. DST Course Objectives Participants in this class will: Learn the basic ideas and methods associated with dynamical systems. Learn the relevance of dynamical systems for personal and interpersonal processes. Learn the implications of dynamical models for understanding and investigating conflict of different types and at different levels of social reality. Learn to think about conflict in a manner that allows for new and testable means of conflict resolution. Foundational Texts Nowak, A. & Vallacher, R. R. (1998). Dynamical social psychology. New York: Guilford Publications. Vallacher, R., Nowak, A., Coleman, P. C., Bui-Wrzosinska, L., Leibovitch, L., Kugler, K. & Bartoli, A. (Forthcoming in 2013). Attracted to Conflict: The Emergence, Maintenance and Transformation of Malignant Social Relations. Springer. Coleman (2011). The Five Percent: Finding Solutions to Seemingly Impossible Conflicts. Perseus Books. Coleman, P. T. & Vallacher, R. R. (Eds.) (2010). Peace and Conflict: Journal of Peace Psychology, Vol. 16, No. 2, 2010. (Special issue devoted to dynamical models of intractable conflict). Ricigliano, R. (2012).Making Peace Last. Paradigm. Burns, D. (2007). Systemic Action Research: A Strategy for Whole System Change. -
2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (Chair), Bobby Kleinberg September 14Th, 2020
2020 SIGACT REPORT SIGACT EC – Eric Allender, Shuchi Chawla, Nicole Immorlica, Samir Khuller (chair), Bobby Kleinberg September 14th, 2020 SIGACT Mission Statement: The primary mission of ACM SIGACT (Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory) is to foster and promote the discovery and dissemination of high quality research in the domain of theoretical computer science. The field of theoretical computer science is the rigorous study of all computational phenomena - natural, artificial or man-made. This includes the diverse areas of algorithms, data structures, complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor. 1. Awards ▪ 2020 Gödel Prize: This was awarded to Robin A. Moser and Gábor Tardos for their paper “A constructive proof of the general Lovász Local Lemma”, Journal of the ACM, Vol 57 (2), 2010. The Lovász Local Lemma (LLL) is a fundamental tool of the probabilistic method. It enables one to show the existence of certain objects even though they occur with exponentially small probability. The original proof was not algorithmic, and subsequent algorithmic versions had significant losses in parameters. This paper provides a simple, powerful algorithmic paradigm that converts almost all known applications of the LLL into randomized algorithms matching the bounds of the existence proof. The paper further gives a derandomized algorithm, a parallel algorithm, and an extension to the “lopsided” LLL. -
Fractals and the Chaos Game
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln MAT Exam Expository Papers Math in the Middle Institute Partnership 7-2006 Fractals and the Chaos Game Stacie Lefler University of Nebraska-Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/mathmidexppap Part of the Science and Mathematics Education Commons Lefler, Stacie, "Fractals and the Chaos Game" (2006). MAT Exam Expository Papers. 24. https://digitalcommons.unl.edu/mathmidexppap/24 This Article is brought to you for free and open access by the Math in the Middle Institute Partnership at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in MAT Exam Expository Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Fractals and the Chaos Game Expository Paper Stacie Lefler In partial fulfillment of the requirements for the Master of Arts in Teaching with a Specialization in the Teaching of Middle Level Mathematics in the Department of Mathematics. David Fowler, Advisor July 2006 Lefler – MAT Expository Paper - 1 1 Fractals and the Chaos Game A. Fractal History The idea of fractals is relatively new, but their roots date back to 19 th century mathematics. A fractal is a mathematically generated pattern that is reproducible at any magnification or reduction and the reproduction looks just like the original, or at least has a similar structure. Georg Cantor (1845-1918) founded set theory and introduced the concept of infinite numbers with his discovery of cardinal numbers. He gave examples of subsets of the real line with unusual properties. These Cantor sets are now recognized as fractals, with the most famous being the Cantor Square . -
Strictly Self-Similar Fractals Composed of Star-Polygons That Are Attractors of Iterated Function Systems
Strictly self-similar fractals composed of star-polygons that are attractors of Iterated Function Systems. Vassil Tzanov February 6, 2015 Abstract In this paper are investigated strictly self-similar fractals that are composed of an infinite number of regular star-polygons, also known as Sierpinski n-gons, n-flakes or polyflakes. Construction scheme for Sierpinsky n-gon and n-flake is presented where the dimensions of the Sierpinsky -gon and the -flake are computed to be 1 and 2, respectively. These fractals are put1 in a general context1 and Iterated Function Systems are applied for the visualisation of the geometric iterations of the initial polygons, as well as the visualisation of sets of points that lie on the attractors of the IFS generated by random walks. Moreover, it is shown that well known fractals represent isolated cases of the presented generalisation. The IFS programming code is given, hence it can be used for further investigations. arXiv:1502.01384v1 [math.DS] 4 Feb 2015 1 1 Introduction - the Cantor set and regular star-polygonal attractors A classic example of a strictly self-similar fractal that can be constructed by Iterated Function System is the Cantor Set [1]. Let us have the interval E = [ 1; 1] and the contracting maps − k k 1 S1;S2 : R R, S1(x) = x=3 2=3, S2 = x=3 + 2=3, where x E. Also S : S(S − (E)) = k 0 ! − 2 S (E), S (E) = E, where S(E) = S1(E) S2(E). Thus if we iterate the map S infinitely many times this will result in the well known Cantor[ Set; see figure 1.