Fractal (Mandelbrot and Julia) Zero-Knowledge Proof of Identity
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Rendering Hypercomplex Fractals Anthony Atella [email protected]
Rhode Island College Digital Commons @ RIC Honors Projects Overview Honors Projects 2018 Rendering Hypercomplex Fractals Anthony Atella [email protected] Follow this and additional works at: https://digitalcommons.ric.edu/honors_projects Part of the Computer Sciences Commons, and the Other Mathematics Commons Recommended Citation Atella, Anthony, "Rendering Hypercomplex Fractals" (2018). Honors Projects Overview. 136. https://digitalcommons.ric.edu/honors_projects/136 This Honors is brought to you for free and open access by the Honors Projects at Digital Commons @ RIC. It has been accepted for inclusion in Honors Projects Overview by an authorized administrator of Digital Commons @ RIC. For more information, please contact [email protected]. Rendering Hypercomplex Fractals by Anthony Atella An Honors Project Submitted in Partial Fulfillment of the Requirements for Honors in The Department of Mathematics and Computer Science The School of Arts and Sciences Rhode Island College 2018 Abstract Fractal mathematics and geometry are useful for applications in science, engineering, and art, but acquiring the tools to explore and graph fractals can be frustrating. Tools available online have limited fractals, rendering methods, and shaders. They often fail to abstract these concepts in a reusable way. This means that multiple programs and interfaces must be learned and used to fully explore the topic. Chaos is an abstract fractal geometry rendering program created to solve this problem. This application builds off previous work done by myself and others [1] to create an extensible, abstract solution to rendering fractals. This paper covers what fractals are, how they are rendered and colored, implementation, issues that were encountered, and finally planned future improvements. -
Generating Fractals Using Complex Functions
Generating Fractals Using Complex Functions Avery Wengler and Eric Wasser What is a Fractal? ● Fractals are infinitely complex patterns that are self-similar across different scales. ● Created by repeating simple processes over and over in a feedback loop. ● Often represented on the complex plane as 2-dimensional images Where do we find fractals? Fractals in Nature Lungs Neurons from the Oak Tree human cortex Regardless of scale, these patterns are all formed by repeating a simple branching process. Geometric Fractals “A rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole.” Mandelbrot (1983) The Sierpinski Triangle Algebraic Fractals ● Fractals created by repeatedly calculating a simple equation over and over. ● Were discovered later because computers were needed to explore them ● Examples: ○ Mandelbrot Set ○ Julia Set ○ Burning Ship Fractal Mandelbrot Set ● Benoit Mandelbrot discovered this set in 1980, shortly after the invention of the personal computer 2 ● zn+1=zn + c ● That is, a complex number c is part of the Mandelbrot set if, when starting with z0 = 0 and applying the iteration repeatedly, the absolute value of zn remains bounded however large n gets. Animation based on a static number of iterations per pixel. The Mandelbrot set is the complex numbers c for which the sequence ( c, c² + c, (c²+c)² + c, ((c²+c)²+c)² + c, (((c²+c)²+c)²+c)² + c, ...) does not approach infinity. Julia Set ● Closely related to the Mandelbrot fractal ● Complementary to the Fatou Set Featherino Fractal Newton’s method for the roots of a real valued function Burning Ship Fractal z2 Mandelbrot Render Generic Mandelbrot set. -
Iterated Function Systems, Ruelle Operators, and Invariant Projective Measures
MATHEMATICS OF COMPUTATION Volume 75, Number 256, October 2006, Pages 1931–1970 S 0025-5718(06)01861-8 Article electronically published on May 31, 2006 ITERATED FUNCTION SYSTEMS, RUELLE OPERATORS, AND INVARIANT PROJECTIVE MEASURES DORIN ERVIN DUTKAY AND PALLE E. T. JORGENSEN Abstract. We introduce a Fourier-based harmonic analysis for a class of dis- crete dynamical systems which arise from Iterated Function Systems. Our starting point is the following pair of special features of these systems. (1) We assume that a measurable space X comes with a finite-to-one endomorphism r : X → X which is onto but not one-to-one. (2) In the case of affine Iterated Function Systems (IFSs) in Rd, this harmonic analysis arises naturally as a spectral duality defined from a given pair of finite subsets B,L in Rd of the same cardinality which generate complex Hadamard matrices. Our harmonic analysis for these iterated function systems (IFS) (X, µ)is based on a Markov process on certain paths. The probabilities are determined by a weight function W on X. From W we define a transition operator RW acting on functions on X, and a corresponding class H of continuous RW - harmonic functions. The properties of the functions in H are analyzed, and they determine the spectral theory of L2(µ).ForaffineIFSsweestablish orthogonal bases in L2(µ). These bases are generated by paths with infinite repetition of finite words. We use this in the last section to analyze tiles in Rd. 1. Introduction One of the reasons wavelets have found so many uses and applications is that they are especially attractive from the computational point of view. -
Writing the History of Dynamical Systems and Chaos
Historia Mathematica 29 (2002), 273–339 doi:10.1006/hmat.2002.2351 Writing the History of Dynamical Systems and Chaos: View metadata, citation and similar papersLongue at core.ac.uk Dur´ee and Revolution, Disciplines and Cultures1 brought to you by CORE provided by Elsevier - Publisher Connector David Aubin Max-Planck Institut fur¨ Wissenschaftsgeschichte, Berlin, Germany E-mail: [email protected] and Amy Dahan Dalmedico Centre national de la recherche scientifique and Centre Alexandre-Koyre,´ Paris, France E-mail: [email protected] Between the late 1960s and the beginning of the 1980s, the wide recognition that simple dynamical laws could give rise to complex behaviors was sometimes hailed as a true scientific revolution impacting several disciplines, for which a striking label was coined—“chaos.” Mathematicians quickly pointed out that the purported revolution was relying on the abstract theory of dynamical systems founded in the late 19th century by Henri Poincar´e who had already reached a similar conclusion. In this paper, we flesh out the historiographical tensions arising from these confrontations: longue-duree´ history and revolution; abstract mathematics and the use of mathematical techniques in various other domains. After reviewing the historiography of dynamical systems theory from Poincar´e to the 1960s, we highlight the pioneering work of a few individuals (Steve Smale, Edward Lorenz, David Ruelle). We then go on to discuss the nature of the chaos phenomenon, which, we argue, was a conceptual reconfiguration as -
Complex Numbers and Colors
Complex Numbers and Colors For the sixth year, “Complex Beauties” provides you with a look into the wonderful world of complex functions and the life and work of mathematicians who contributed to our understanding of this field. As always, we intend to reach a diverse audience: While most explanations require some mathemati- cal background on the part of the reader, we hope non-mathematicians will find our “phase portraits” exciting and will catch a glimpse of the richness and beauty of complex functions. We would particularly like to thank our guest authors: Jonathan Borwein and Armin Straub wrote on random walks and corresponding moment functions and Jorn¨ Steuding contributed two articles, one on polygamma functions and the second on almost periodic functions. The suggestion to present a Belyi function and the possibility for the numerical calculations came from Donald Marshall; the November title page would not have been possible without Hrothgar’s numerical solution of the Bla- sius equation. The construction of the phase portraits is based on the interpretation of complex numbers z as points in the Gaussian plane. The horizontal coordinate x of the point representing z is called the real part of z (Re z) and the vertical coordinate y of the point representing z is called the imaginary part of z (Im z); we write z = x + iy. Alternatively, the point representing z can also be given by its distance from the origin (jzj, the modulus of z) and an angle (arg z, the argument of z). The phase portrait of a complex function f (appearing in the picture on the left) arises when all points z of the domain of f are colored according to the argument (or “phase”) of the value w = f (z). -
Sphere Tracing, Distance Fields, and Fractals Alexander Simes
Sphere Tracing, Distance Fields, and Fractals Alexander Simes Advisor: Angus Forbes Secondary: Andrew Johnson Fall 2014 - 654108177 Figure 1: Sphere Traced images of Menger Cubes and Mandelboxes shaded by ambient occlusion approximation on the left and Blinn-Phong with shadows on the right Abstract Methods to realistically display complex surfaces which are not practical to visualize using traditional techniques are presented. Additionally an application is presented which is capable of utilizing some of these techniques in real time. Properties of these surfaces and their implications to a real time application are discussed. Table of Contents 1 Introduction 3 2 Minimal CPU Sphere Tracing Model 4 2.1 Camera Model 4 2.2 Marching with Distance Fields Introduction 5 2.3 Ambient Occlusion Approximation 6 3 Distance Fields 9 3.1 Signed Sphere 9 3.2 Unsigned Box 9 3.3 Distance Field Operations 10 4 Blinn-Phong Shadow Sphere Tracing Model 11 4.1 Scene Composition 11 4.2 Maximum Marching Iteration Limitation 12 4.3 Surface Normals 12 4.4 Blinn-Phong Shading 13 4.5 Hard Shadows 14 4.6 Translation to GPU 14 5 Menger Cube 15 5.1 Introduction 15 5.2 Iterative Definition 16 6 Mandelbox 18 6.1 Introduction 18 6.2 boxFold() 19 6.3 sphereFold() 19 6.4 Scale and Translate 20 6.5 Distance Function 20 6.6 Computational Efficiency 20 7 Conclusion 2 1 Introduction Sphere Tracing is a rendering technique for visualizing surfaces using geometric distance. Typically surfaces applicable to Sphere Tracing have no explicit geometry and are implicitly defined by a distance field. -
A New Digital Signature Scheme Based on Mandelbrot and Julia Fractal Sets
American Journal of Applied Sciences 4 (11): 848-856, 2007 ISSN 1546-9239 © 2007 Science Publications A New Digital Signature Scheme Based on Mandelbrot and Julia Fractal Sets Mohammad Ahmad Alia and Azman Bin Samsudin School of Computer Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia Abstract: This paper describes a new cryptographic digital signature scheme based on Mandelbrot and Julia fractal sets. Having fractal based digital signature scheme is possible due to the strong connection between the Mandelbrot and Julia fractal sets. The link between the two fractal sets used for the conversion of the private key to the public key. Mandelbrot fractal function takes the chosen private key as the input parameter and generates the corresponding public-key. Julia fractal function then used to sign the message with receiver's public key and verify the received message based on the receiver's private key. The propose scheme was resistant against attacks, utilizes small key size and performs comparatively faster than the existing DSA, RSA digital signature scheme. Fractal digital signature scheme was an attractive alternative to the traditional number theory digital signature scheme. Keywords: Fractals Cryptography, Digital Signature Scheme, Mandelbrot Fractal Set, and Julia Fractal Set INTRODUCTION Cryptography is the science of information security. Cryptographic system in turn, is grouped according to the type of the key system: symmetric (secret-key) algorithms which utilizes the same key (see Fig. 1) for both encryption and decryption process, and asymmetric (public-key) algorithms which uses different, but mathematically connected, keys for encryption and decryption (see Fig. 2). In general, Fig. 1: Secret-key scheme. -
How Math Makes Movies Like Doctor Strange So Otherworldly | Science News for Students
3/13/2020 How math makes movies like Doctor Strange so otherworldly | Science News for Students MATH How math makes movies like Doctor Strange so otherworldly Patterns called fractals are inspiring filmmakers with ideas for mind-bending worlds Kaecilius, on the right, is a villain and sorcerer in Doctor Strange. He can twist and manipulate the fabric of reality. The film’s visual-effects artists used mathematical patterns, called fractals, illustrate Kaecilius’s abilities on the big screen. MARVEL STUDIOS By Stephen Ornes January 9, 2020 at 6:45 am For wild chase scenes, it’s hard to beat Doctor Strange. In this 2016 film, the fictional doctor-turned-sorcerer has to stop villains who want to destroy reality. To further complicate matters, the evildoers have unusual powers of their own. “The bad guys in the film have the power to reshape the world around them,” explains Alexis Wajsbrot. He’s a film director who lives in Paris, France. But for Doctor Strange, Wajsbrot instead served as the film’s visual-effects artist. Those bad guys make ordinary objects move and change forms. Bringing this to the big screen makes for chases that are spectacular to watch. City blocks and streets appear and disappear around the fighting foes. Adversaries clash in what’s called the “mirror dimension” — a place where the laws of nature don’t apply. Forget gravity: Skyscrapers twist and then split. Waves ripple across walls, knocking people sideways and up. At times, multiple copies of the entire city seem to appear at once, but at different sizes. -
Ensembles Fractals, Mesure Et Dimension
Ensembles fractals, mesure et dimension Jean-Pierre Demailly Institut Fourier, Universit´ede Grenoble I, France & Acad´emie des Sciences de Paris 19 novembre 2012 Conf´erence au Lyc´ee Champollion, Grenoble Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Les fractales sont partout : arbres ... fractale pouvant ˆetre obtenue comme un “syst`eme de Lindenmayer” Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Poumons ... Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Chou broccoli Romanesco ... Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Notion de dimension La dimension d’un espace (ensemble de points dans lequel on se place) est classiquement le nombre de coordonn´ees n´ecessaires pour rep´erer un point de cet espace. C’est donc a priori un nombre entier. On va introduire ici une notion plus g´en´erale, qui conduit `ades dimensions parfois non enti`eres. Objet de dimension 1 ×3 ×31 Par une homoth´etie de rapport 3, la mesure (longueur) est multipli´ee par 3 = 31, l’objet r´esultant contient 3 fois l’objet initial. La dimension d’un segment est 1. Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Dimension 2 ... Objet de dimension 2 ×3 ×32 Par une homoth´etie de rapport 3, la mesure (aire) de l’objet est multipli´ee par 9 = 32, l’objet r´esultant contient 9 fois l’objet initial. La dimension du carr´eest 2. Jean-Pierre Demailly, Lyc´ee Champollion - Grenoble Ensembles fractals, mesure et dimension Dimension d ≥ 3 .. -
Montana Throne Molly Gupta Laura Brannan Fractals: a Visual Display of Mathematics Linear Algebra
Montana Throne Molly Gupta Laura Brannan Fractals: A Visual Display of Mathematics Linear Algebra - Math 2270 Introduction: Fractals are infinite patterns that look similar at all levels of magnification and exist between the normal dimensions. With the advent of the computer, we can generate these complex structures to model natural structures around us such as blood vessels, heartbeat rhythms, trees, forests, and mountains, to name a few. I will begin by explaining how different linear transformations have been used to create fractals. Then I will explain how I have created fractals using linear transformations and include the computer-generated results. A Brief History: Fractals seem to be a relatively new concept in mathematics, but that may be because the term was coined only 43 years ago. It is in the century before Benoit Mandelbrot coined the term that the study of concepts now considered fractals really started to gain traction. The invention of the computer provided the computing power needed to generate fractals visually and further their study and interest. Expand on the ideas by century: 17th century ideas • Leibniz 19th century ideas • Karl Weierstrass • George Cantor • Felix Klein • Henri Poincare 20th century ideas • Helge von Koch • Waclaw Sierpinski • Gaston Julia • Pierre Fatou • Felix Hausdorff • Paul Levy • Benoit Mandelbrot • Lewis Fry Richardson • Loren Carpenter How They Work: Infinitely complex objects, revealed upon enlarging. Basics: translations, uniform scaling and non-uniform scaling then translations. Utilize translation vectors. Concepts used in fractals-- Affine Transformation (operate on individual points in the set), Rotation Matrix, Similitude Transformation Affine-- translations, scalings, reflections, rotations Insert Equations here. -
Bachelorarbeit Im Studiengang Audiovisuelle Medien Die
Bachelorarbeit im Studiengang Audiovisuelle Medien Die Nutzbarkeit von Fraktalen in VFX Produktionen vorgelegt von Denise Hauck an der Hochschule der Medien Stuttgart am 29.03.2019 zur Erlangung des akademischen Grades eines Bachelor of Engineering Erst-Prüferin: Prof. Katja Schmid Zweit-Prüfer: Prof. Jan Adamczyk Eidesstattliche Erklärung Name: Vorname: Hauck Denise Matrikel-Nr.: 30394 Studiengang: Audiovisuelle Medien Hiermit versichere ich, Denise Hauck, ehrenwörtlich, dass ich die vorliegende Bachelorarbeit mit dem Titel: „Die Nutzbarkeit von Fraktalen in VFX Produktionen“ selbstständig und ohne fremde Hilfe verfasst und keine anderen als die angegebenen Hilfsmittel benutzt habe. Die Stellen der Arbeit, die dem Wortlaut oder dem Sinn nach anderen Werken entnommen wurden, sind in jedem Fall unter Angabe der Quelle kenntlich gemacht. Die Arbeit ist noch nicht veröffentlicht oder in anderer Form als Prüfungsleistung vorgelegt worden. Ich habe die Bedeutung der ehrenwörtlichen Versicherung und die prüfungsrechtlichen Folgen (§26 Abs. 2 Bachelor-SPO (6 Semester), § 24 Abs. 2 Bachelor-SPO (7 Semester), § 23 Abs. 2 Master-SPO (3 Semester) bzw. § 19 Abs. 2 Master-SPO (4 Semester und berufsbegleitend) der HdM) einer unrichtigen oder unvollständigen ehrenwörtlichen Versicherung zur Kenntnis genommen. Stuttgart, den 29.03.2019 2 Kurzfassung Das Ziel dieser Bachelorarbeit ist es, ein Verständnis für die Generierung und Verwendung von Fraktalen in VFX Produktionen, zu vermitteln. Dabei bildet der Einblick in die Arten und Entstehung der Fraktale -
Package 'Julia'
Package ‘Julia’ February 19, 2015 Type Package Title Fractal Image Data Generator Version 1.1 Date 2014-11-25 Author Mehmet Suzen [aut, main] Maintainer Mehmet Suzen <[email protected]> Description Generates image data for fractals (Julia and Mandelbrot sets) on the complex plane in the given region and resolution. License GPL-3 LazyLoad yes Repository CRAN NeedsCompilation no Date/Publication 2014-11-25 12:01:36 R topics documented: Julia-package . .1 JuliaImage . .3 JuliaIterate . .5 MandelImage . .6 MandelIterate . .7 Index 9 Julia-package Julia Description Generates image data for fractals (Julia and Mandelbrot sets) on the complex plane in the given region and resolution. 1 2 Julia-package Details JuliaImage 3 Package: Julia Type: Package Version: 1.1 Date: 2014-11-25 License: GPL-3 LazyLoad: yes Author(s) Mehmet Suzen Maintainer: Mehmet Suzen <[email protected]> References The Fractal Geometry of Nature, Benoit B. Mandelbrot, W.H.Freeman & Co Ltd (18 Nov 1982) See Also JuliaIterate and MandelIterate Examples # Julia Set imageN <- 5; centre <- -1.0 L <- 2.0 file <- "julia1a.png" C <- 1-1.6180339887;# Golden Ration image <- JuliaImage(imageN,centre,L,C); # writePNG(image,file);# possible visulisation # Mandelbrot Set imageN <- 5; centre <- 0.0 L <- 4.0 file <- "mandelbrot1.png" image<-MandelImage(imageN,centre,L); # writePNG(image,file);# possible visulisation JuliaImage Julia Set Generator in a Square Region Description ’JuliaImage’ returns two dimensional array representing escape values from on the square region in complex plane. Escape values (which measures the number of iteration before the lenght of the complex value reaches to 2).