Fractals, Dynamical Systems and Chaos. MATH225 - Field 2008

Similar documents
INTRODUCTION TO FRACTAL GEOMETRY

Patterns in Nature 8 Fractals. Stephan Matthiesen

Chapter 8. Fractals. 8.1 Introduction

xt+1 = 1 ax 2 t + y t y t+1 = bx t (1)

AN INTRODUCTION TO FRACTALS AND COMPLEXITY

AN INTRODUCTION TO FRACTALS AND COMPLEXITY

LECTURE 8: DYNAMICAL SYSTEMS 7

Fractal Geometry Time Escape Algorithms and Fractal Dimension

6.2 Brief review of fundamental concepts about chaotic systems

Chaos & Recursive. Ehsan Tahami. (Properties, Dynamics, and Applications ) PHD student of biomedical engineering

Mathematical Modelling Lecture 14 Fractals

Julia Sets and the Mandelbrot Set

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS

Generating a Complex Form of Chaotic Pan System and its Behavior

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325

Dmitri Kartofelev, PhD. Tallinn University of Technology, School of Science, Department of Cybernetics, Laboratory of Solid Mechanics

Nonlinear Dynamics. Moreno Marzolla Dip. di Informatica Scienza e Ingegneria (DISI) Università di Bologna.

Infinity Unit 2: Chaos! Dynamical Systems

Dmitri Kartofelev, PhD. Tallinn University of Technology, School of Science, Department of Cybernetics, Laboratory of Solid Mechanics.

Introduction to Dynamical Systems Basic Concepts of Dynamics

ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS

A Novel Three Dimension Autonomous Chaotic System with a Quadratic Exponential Nonlinear Term

Fractals list of fractals - Hausdorff dimension

PHY411 Lecture notes Part 5

Een vlinder in de wiskunde: over chaos en structuur

Contents Dynamical Systems Stability of Dynamical Systems: Linear Approach

Dynamical Systems: Lecture 1 Naima Hammoud

4452 Mathematical Modeling Lecture 13: Chaos and Fractals

Maps and differential equations

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS

Lecture 6. Lorenz equations and Malkus' waterwheel Some properties of the Lorenz Eq.'s Lorenz Map Towards definitions of:

Discrete Time Coupled Logistic Equations with Symmetric Dispersal

Table Cloth Math, from Balthazar van der Pol, early 20 th century. Beverly West Cornell University November 11, 2017

Introduction Knot Theory Nonlinear Dynamics Topology in Chaos Open Questions Summary. Topology in Chaos

Chaos. Dr. Dylan McNamara people.uncw.edu/mcnamarad

Zoology of Fatou sets

I NONLINEAR EWORKBOOK

Discrete Dynamical Systems

NONLINEAR METHODS AND CHAOS

... it may happen that small differences in the initial conditions produce very great ones in the final phenomena. Henri Poincaré

CONTROLLING IN BETWEEN THE LORENZ AND THE CHEN SYSTEMS

Fractals. Justin Stevens. Lecture 12. Justin Stevens Fractals (Lecture 12) 1 / 14

The field of Dynamics and Control is concerned with the study of dynamical systems. A dynamical system

Dynamical Systems with Applications

Chaotic Vibrations. An Introduction for Applied Scientists and Engineers

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations

Deborah Lacitignola Department of Health and Motory Sciences University of Cassino

THREE DIMENSIONAL SYSTEMS. Lecture 6: The Lorenz Equations

Mechanisms of Chaos: Stable Instability

Chaotic Modelling and Simulation

Simplest Chaotic Flows with Involutional Symmetries

Handout 2: Invariant Sets and Stability

Complicated dynamics from simple functions

LINEAR CHAOS? Nathan S. Feldman

Delay Coordinate Embedding

DYNAMICAL SYSTEMS. I Clark: Robinson. Stability, Symbolic Dynamics, and Chaos. CRC Press Boca Raton Ann Arbor London Tokyo

Fractals. Krzysztof Gdawiec.

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II.

A Novel Hyperchaotic System and Its Control

Chaos. Lendert Gelens. KU Leuven - Vrije Universiteit Brussel Nonlinear dynamics course - VUB

Enhanced sensitivity of persistent events to weak forcing in dynamical and stochastic systems: Implications for climate change. Khatiwala, et.al.

Introduction to Classical Chaos

Repeat tentative ideas from earlier - expand to better understand the term fractal.

FROM EQUILIBRIUM TO CHAOS

Stochastic shocks in a two-sector Solow model

Fractals list of fractals by Hausdoff dimension

A Two-dimensional Discrete Mapping with C Multifold Chaotic Attractors

Chapter 2 Chaos theory and its relationship to complexity

Chaos in GDP. Abstract

Unstable Periodic Orbits as a Unifying Principle in the Presentation of Dynamical Systems in the Undergraduate Physics Curriculum

v n+1 = v T + (v 0 - v T )exp(-[n +1]/ N )

Fractals. R. J. Renka 11/14/2016. Department of Computer Science & Engineering University of North Texas. R. J. Renka Fractals

Lesson 4: Non-fading Memory Nonlinearities

More Details Fixed point of mapping is point that maps into itself, i.e., x n+1 = x n.

Introduction to Nonlinear Dynamics and Chaos

Experimental Characterization of Nonlinear Dynamics from Chua s Circuit

Controlling a Novel Chaotic Attractor using Linear Feedback

Double Transient Chaotic Behaviour of a Rolling Ball

Dynamical Systems: Ecological Modeling

Chapter #4 EEE8086-EEE8115. Robust and Adaptive Control Systems

SIMPLE CHAOTIC FLOWS WITH ONE STABLE EQUILIBRIUM

Irregular Attractors

Lecture 7. Order Out of Chaos

CMSC 425: Lecture 11 Procedural Generation: Fractals and L-Systems

Reconstruction Deconstruction:

Lecture 1: A Preliminary to Nonlinear Dynamics and Chaos

CHAOS -SOME BASIC CONCEPTS

Co-existence of Regular and Chaotic Motions in the Gaussian Map

DIFFERENTIAL GEOMETRY APPLIED TO DYNAMICAL SYSTEMS

vii Contents 7.5 Mathematica Commands in Text Format 7.6 Exercises

A Very Brief and Shallow Introduction to: Complexity, Chaos, and Fractals. J. Kropp

Oscillatory Motion. Simple pendulum: linear Hooke s Law restoring force for small angular deviations. Oscillatory solution

WHAT IS A CHAOTIC ATTRACTOR?

Examensarbete. Fractals and Computer Graphics. Meritxell Joanpere Salvadó

Chaos synchronization of complex Rössler system

Oscillatory Motion. Simple pendulum: linear Hooke s Law restoring force for small angular deviations. small angle approximation. Oscillatory solution

Introduction to bifurcations


Snowflakes. Insight into the mathematical world. The coastline paradox. Koch s snowflake

Chaotic motion. Phys 750 Lecture 9

Transcription:

Fractals, Dynamical Systems and Chaos MATH225 - Field 2008

Outline Introduction Fractals Dynamical Systems and Chaos Conclusions

Introduction When beauty is abstracted then ugliness is implied. When good is abstracted then evil has been implied. - Lao Tzu A mathematical model is an abstraction of a natural/physical system which uses a formal symbolic language to derive knowledge pertaining to the system. In abstraction much is lost. However, this does not imply that the knowledge gained from these models is simple.

Geometric Complexity What is geometrically straightforward? Euclidian Geometry Non-Euclidian Geometry What is not geometrically straightforward? Fractal Geometry

Fractals A fractal is a set with non-integral Hausdorff Dimension, a type of fractal dimension, greater than its Topological Dimension. The topological dimension of the real line is one. The plane is has dimension two. Fractals, once thought to be pathological creations, have connections to chaotic dynamical systems.

History of Fractal Geometry Cantor Set Peano Curves Koch Curve Gaston Julia Benoit Mandelbrot

Cantor Set Take the interval [0,1] and remove subintervals ad infinitum. Introduced in 1883 by Georg Cantor. The set of points which is left behind has a topological dimension of 0 and a Hausdorff dimension of approximately 0.6309.

Peano Curve A curve is the geometric object described by a continuous mapping whose domain is [0,1]. Often the range of such a function is, at most, the entire real line. In 1890 Giuseppe Peano constructed a continuous mapping from [0,1] to the unit square.

Koch Curve Helge von Koch in 1904 constructed a curve that is continuous but differentiable nowhere! The Koch curve has topological dimension 1 and Hausdorff dimension of approximately 1.26.

Gaston Julia s Sets Gaston Julia (1893-1978) studies the complex function of complex parameter c, f c (z) = z 2 + c. For different values of c the set which is created from the sequence {z, f c (z), f c (f c (z)),f c (f c (f c (z))),... } is Disconnected Simply Connected Connected

Mandelbrot From 1975-1982 Mandelbrot coins the term fractal an publishes The Fractal Geometry of Nature. Coastline Paradox - Measure the coastline of a land-mass with a ruler of length L. Compare this to the measurement given by a ruler of length l, l<l. - L. F. Richardson (1881-1953) Plotting the length of the ruler against the measurement on a log-log scale gives a straight line. The slope of this line is the fractal dimension of the coastline.

Mandelbrot s Set Mandelbrot set derives from the complex function of complex parameter: f c (z) = z 2 + c The behavior of the sequence {0, f c (0), f c (f c (0)), f c (f c (f c (0))),... } defines the Mandelbrot Set.

Fractal Conclusions Fractals are complicated geometric sets which can be characterized as having: A Hausdorff Dimension greater than its topological dimension. A self-similar structure.

Dynamical Systems A dynamical system is the mathematical formalism/rule which describes the deterministic evolution of a point in phasespace. The long term behavior of solutions to constant linear dynamical systems is completely understood in terms of eigenvalue/eigenvector decomposition. In general, the effects of dissipation evolves trajectories to a steady-state behavior. The geometry of phase space bounding these trajectories is called an attractor.

Van der Pol Oscillator y - u(1-y 2 )y + y = 0 Electrical circuits using vacuum tubes Action potentials for neurons Seismological modeling of two plates in a geologic fault

Discrete Logistics Equation xn+1 = rxn(1-xn) Models the discrete time evolution of a population subject to a carrying capacity.

Bifurcation and Period For certain values of the growth rate r strange things happen to the population evolution. Period doubling is a sequence of bifurcations in which the number of equilibrium solutions exhibits unbounded growth. Doubling

Chaos I Period doubling is a typical characteristic of a system entering into chaos. For r-values between 3.5 and 4 the logistics map has sensitive dependence on initial conditions, which is another characteristic of chaos.

Lorenz Attractor x =a(y-x) y =bx-y-xz z = -cz+xy For a=10, b=28, c=8/3, the Lorenz equations have exponentially divergent trajectories and thus are sensitive to initial conditions.

Chaos II The trajectories for the discrete logistics equation and Lorenz equations become so complicated/chaotic because the geometry of the attracting set has been topologically mixed/folded. This generally causes the appearance of fractal geometries.

Chaos III If a dynamical system is characterized as having either, or a sensitive dependance on initial conditions (chaos), an attracting set with non-integer Hausdorff dimension (fractal), then the dynamical systems attracting set is called strange.

Conclusions Though mathematical models are approximations of physical/natural systems, math s simplest nonlinear systems give rise to sophisticated and complex behavior, Understanding these models and their interpretations requires some of the more advanced geometric, algebraic and numerical techniques currently being studied. He accepts the ebb and flow of thing. Nurtures them, but does not own them and lives but does not dwell. - Lao Tzu