August 16, Alice in Stretch & SqueezeLand: 15 Knife Map. Chapter Summary-01. Overview-01. Overview-02. Rossler-01. Rossler-02.

Size: px
Start display at page:

Download "August 16, Alice in Stretch & SqueezeLand: 15 Knife Map. Chapter Summary-01. Overview-01. Overview-02. Rossler-01. Rossler-02."

Transcription

1 Summary- Overview- Rossler- August 16, 22 Logistic Knife

2 Abstract Summary- Overview- Rossler- Logistic What is the order of orbit creation in the Lorenz attractor? The attractor is created by a tearing and squeezing mechanism since g > 1. How are these orbits organized? For attractors created by a stretch and fold mechanism (g = 1) the logistic map x = f(x; a) = a x 2 provides useful insight. For attractors created by a tear and squeeze mechanism (g > 1) the knife map y = g(y; b) = b y 1/2 provides useful insight. The two maps share many similarities and exhibit important differences. Knife

3 Overview- Summary- Overview- Rossler- What We Did 1 Studied maps with 2 branches 2 L & R 3 Separated by a singularity 4 Models for Tearing Mechanism 5 Looked for universality 6 Searched for scaling Logistic Knife

4 Summary- Overview- Rossler- What We Found 1 Simple form: x = a x k 2 k = 2 folding; k = 1 2 tearing 3 Localized global attractor 4 Either chaos or pd. 1 fixed point 5 Orbits of periods 1 and 2 organize systematics 6 Explosions 7 Prime and compound orbits 8 Local and Global focus points Logistic Knife

5 Rössler Attractor Rössler Attractor Summary- Overview- Rossler- Logistic Knife

6 Rössler Attractor Rössler Attractor - Return Summary- Overview- Rossler- Logistic Knife

7 Lorenz Attractor Lorenz Attractor Summary- Overview- Rossler- Logistic Knife

8 Lorenz Attractor Return for Lorenz Attractor Summary- Overview- Rossler- Logistic Knife

9 Lorenz Attractor Image of Lorenz Return Summary- Overview- Rossler- Logistic Knife

10 Stability Regions Summary- Overview- Rossler- Logistic Knife

11 : Logistic Summary- Overview- Rossler- Logistic Knife

12 : Knife Summary- Overview- Rossler- Logistic Knife

13 02 Stability Regions Summary- Overview- Rossler- Logistic Knife

14 Logistic- Return - Rössler Attractor Summary- Overview- Rossler- Logistic Knife

15 Image Return - Lorenz Image Summary- Overview- Rossler- Logistic Knife

16 Logistic 02 Summary- Overview- Rossler- Logistic Return Approximations The Rossler return map is well approximated by the following maps: x = λx(1 x) x = a x 2 x = 1 µx 2 x = 1 x m w 2 Knife

17 Image Summary- Overview- Rossler- Image of Lorenz Return The image of the Lorenz return map is well approximated by the following maps: y = b y 1/2 y = 1 µ y 1/2 y = 1 y m w 1/2 Logistic Knife

18 Side by Side- Summary- Comparison: Logistic & Knife s Overview- Logistic M ap Knif e M ap Rossler- x = f(x; a) = a ( x ) 2 y = f(y; b) = b ( y ) 1/2 Logistic Knife

19 Logistic for several values of a Summary- Overview- Rossler- Logistic Knife

20 Image Lorenz-04 Knife Return s Summary- Overview- Rossler- Logistic Knife

21 Orbit Search- Second Return Summary- Overview- Rossler- Logistic Knife

22 Orbit Search-02 Period 1 & 2 Orbits - Logistic Summary- Overview- Rossler- Logistic Knife

23 Bifurcation- Bifurcation Diagram Summary- Overview- Rossler- Logistic Knife

24 Bifurcation-02.. Blow Up... with Caustics Summary- Overview- Rossler- Logistic Knife

25 Bifurcation-03 Knife - Bifurcation Diagram Summary- Overview- Rossler- Logistic Knife No windows! No caustics!

26 Bifurcation-04 Knife - Lyapunov Exponent Summary- Overview- Rossler- Logistic Knife

27 Orbit Search-03 Fixed Points (Knife) Summary- Overview- Rossler- Logistic Knife

28 Orbit Search-04 Second Iterates - Knife Summary- Overview- Rossler- Logistic Knife

29 Skeleton- Period-One & Period-Two Orbits Summary- Overview- Rossler- Logistic Knife

30 Skeleton-02 Attractor boundary (Knife) Summary- Overview- Rossler- Logistic Knife

31 Skeleton-03 Attractor Boundaries - Logistic Summary- Overview- Rossler- Logistic Knife

32 Rite of Passage- Summary- Overview- Rossler- Logistic Knife

33 Explosions- Knife Iterates Summary- Overview- Rossler- Logistic Knife

34 Explosions-02 Summary- Overview- Rossler- Table: Values M (p) of y where the pth iterate f (p) (y; b) has maxima. These locations are determined by a simple recursion relation (last line) where the indices s p = ±1 are incoherent. p Number Max. Coordinate Values ±b ±(b ± b 2 ) 2 p p M (p+1) = s p (b + M (p) ) 2 Logistic Knife

35 Explosions-03 Summary- Overview- Rossler- As p, with all s j = +1, the abscissa of the rightmost point goes to a limit. The quadratic equation for this limit gives: ( ) 1 1 y(b) = 2 b 4 b At b = 1 4 the bounding box is a square beyond that the diagonal fails to intersect all the zig - zags. Orbits begin to get pruned away in singular saddle node bifurcations. Logistic Knife

36 Explosions-04 Structural Stability: 0 < b < 1 4 Summary- Overview- Rossler- Logistic Knife

37 Rite of Passage-02 End Play - Near b = 1 Summary- Overview- Rossler- Logistic Knife

38 Rite of Passage-03 Iterates Near b = 1 Summary- Overview- Rossler- Logistic Knife implosion1

39 Renormalization- Note Scaling Relations Summary- Overview- Rossler- Logistic Knife

40 Explosions-05 Structural Stability: 3 4 < b < 1 Summary- Overview- Rossler- Logistic Knife

41 Orbit Search-05 Hunt for Saddle-Node Bifurcations Caustic Crossings Summary- Overview- Rossler- Logistic Knife

42 Orbit Search-06 Hunt for Singular SNBs Summary- Overview- Rossler- Logistic Knife

43 Orbit Search-07 Anti Caustic Crossings Summary- Overview- Rossler- Logistic Knife

44 Orbit Search-08 Anti Caustic Crossings: Expansion Summary- Overview- Rossler- Logistic Knife

45 Orbit Search-09 Period Three Singular SNB Summary- Overview- Rossler- Logistic Knife

46 Renormalization-02 Summary- Overview- Rossler- Local expression near y = 0 for the period-three explosion: h(y; b) = f (3) (y; b) = b b b y h(b 3 + ɛ; y) ( b3 ) b 3 b 3 + ( 2 ) ( ) b y ɛ + b3 b 3 b3 4 b3 b 3 b3 Logistic Knife

47 Renormalization-03 Renormalization for the period-three explosion. y = h(y; b 3 + ɛ) (b b 3 ) + α y = Summary- Overview- Rossler (b b 3 ) y z = ( /α 2 )(b 3 b) z Logistic Knife

48 Renormalization-04 Summary- Overview- Rossler- Logistic Renormalization Algorithm: K10* 1 Write down the symbol sequence for the primary period-p orbit: K10 = Kσ 1 σ 2 σ p 1. 2 Make the identification σ = +1 s = +1, σ = 0 s = 1. 3 Construct f (p) (b; y) b s p 1 (b s 2 (b s 1 (b y)) ) 4 Taylor expand this function to terms linear in b and y and determine the value of b for which the constant term vanishes. Knife

49 Renormalization-05 Summary- Overview- Rossler- Equations: K10* For the saddle node pair 5 2 = K10 this algorithm gives b (+1)(b ( 1)(b ( 1)(b (+1)(b y)))) The constant term vanishes for b = , and for this value of b y = (b b 52 ) + α y = b y Logistic Knife

50 Renormalization-06 Results: K10* to Period 6 y = (b b c ) + α y y, y 0 Summary- Overview- Rossler- Logistic Orbit Symbolics b c α 3 1 K K K K K K K K Knife

51 Renormalization-07 Renormalization for the final period-two explosion. f (2) (1 ɛ, y) ɛ 2 + ( ɛ 4) y (1) Summary- Overview- Rossler- Logistic Knife

52 Orbit Search-05 Hunt for Saddle-Node Bifurcations Summary- Overview- Rossler- Logistic Knife

53 Orbit Search-08 Hunt for S. Saddle-Node Bifurcations Summary- Overview- Rossler- Logistic Knife

54 Important Markers Summary- Overview- Rossler- Breakpoints Table: Important parameter values for global stability and unstable periodic orbit behavior. Global Stability Unstable Orbits 0.0 1/4 1/ / Logistic Knife

55 U Sequence Summary- Overview- Rossler- Logistic Knife

56 Endplay- Symbol Exchange Near Endplay Summary- Overview- Rossler- Logistic Knife

57 Endplay-02 Summary- Overview- Rossler- Symbol Exchange Near Endplay Symbols 0, 1 created at b = 0 New orbit, (11), created at b = 3 4 Symbol pair , replaced by - (11) - as b 1 Implosions begin at b = , end at midpoint Explosions begin at midpoint, end at b = Implosions and explosions symmetrically matched Logistic Knife

Example Chaotic Maps (that you can analyze)

Example Chaotic Maps (that you can analyze) Example Chaotic Maps (that you can analyze) Reading for this lecture: NDAC, Sections.5-.7. Lecture 7: Natural Computation & Self-Organization, Physics 256A (Winter 24); Jim Crutchfield Monday, January

More information

One Dimensional Dynamical Systems

One Dimensional Dynamical Systems 16 CHAPTER 2 One Dimensional Dynamical Systems We begin by analyzing some dynamical systems with one-dimensional phase spaces, and in particular their bifurcations. All equations in this Chapter are scalar

More information

The Big, Big Picture (Bifurcations II)

The Big, Big Picture (Bifurcations II) The Big, Big Picture (Bifurcations II) Reading for this lecture: NDAC, Chapter 8 and Sec. 10.0-10.4. 1 Beyond fixed points: Bifurcation: Qualitative change in behavior as a control parameter is (slowly)

More information

One dimensional Maps

One dimensional Maps Chapter 4 One dimensional Maps The ordinary differential equation studied in chapters 1-3 provide a close link to actual physical systems it is easy to believe these equations provide at least an approximate

More information

Unit Ten Summary Introduction to Dynamical Systems and Chaos

Unit Ten Summary Introduction to Dynamical Systems and Chaos Unit Ten Summary Introduction to Dynamical Systems Dynamical Systems A dynamical system is a system that evolves in time according to a well-defined, unchanging rule. The study of dynamical systems is

More information

Solution to Homework #4 Roy Malka

Solution to Homework #4 Roy Malka 1. Show that the map: Solution to Homework #4 Roy Malka F µ : x n+1 = x n + µ x 2 n x n R (1) undergoes a saddle-node bifurcation at (x, µ) = (0, 0); show that for µ < 0 it has no fixed points whereas

More information

PHY411 Lecture notes Part 4

PHY411 Lecture notes Part 4 PHY411 Lecture notes Part 4 Alice Quillen February 1, 2016 Contents 0.1 Introduction.................................... 2 1 Bifurcations of one-dimensional dynamical systems 2 1.1 Saddle-node bifurcation.............................

More information

4 Problem Set 4 Bifurcations

4 Problem Set 4 Bifurcations 4 PROBLEM SET 4 BIFURCATIONS 4 Problem Set 4 Bifurcations 1. Each of the following functions undergoes a bifurcation at the given parameter value. In each case use analytic or graphical techniques to identify

More information

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET EXAM for DYNAMICAL SYSTEMS COURSE CODES: TIF 155, FIM770GU, PhD Time: Place: Teachers: Allowed material: Not allowed: January 08, 2018, at 08 30 12 30 Johanneberg Kristian

More information

Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations

Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations Math 345 Intro to Math Biology Lecture 7: Models of System of Nonlinear Difference Equations Junping Shi College of William and Mary, USA Equilibrium Model: x n+1 = f (x n ), here f is a nonlinear function

More information

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

A Novel Three Dimension Autonomous Chaotic System with a Quadratic Exponential Nonlinear Term ETASR - Engineering, Technology & Applied Science Research Vol., o.,, 9-5 9 A Novel Three Dimension Autonomous Chaotic System with a Quadratic Exponential Nonlinear Term Fei Yu College of Information Science

More information

Chapter 3. Gumowski-Mira Map. 3.1 Introduction

Chapter 3. Gumowski-Mira Map. 3.1 Introduction Chapter 3 Gumowski-Mira Map 3.1 Introduction Non linear recurrence relations model many real world systems and help in analysing their possible asymptotic behaviour as the parameters are varied [17]. Here

More information

Lecture2 The implicit function theorem. Bifurcations.

Lecture2 The implicit function theorem. Bifurcations. Lecture2 The implicit function theorem. Bifurcations. 1 Review:Newton s method. The existence theorem - the assumptions. Basins of attraction. 2 The implicit function theorem. 3 Bifurcations of iterations.

More information

Bifurcation of Fixed Points

Bifurcation of Fixed Points Bifurcation of Fixed Points CDS140B Lecturer: Wang Sang Koon Winter, 2005 1 Introduction ẏ = g(y, λ). where y R n, λ R p. Suppose it has a fixed point at (y 0, λ 0 ), i.e., g(y 0, λ 0 ) = 0. Two Questions:

More information

Physics Department Drexel University Philadelphia, PA

Physics Department Drexel University Philadelphia, PA Overview- Overview- Physics Department Drexel University Philadelphia, PA 19104 robert.gilmore@drexel.edu Colloquium, Department of Applied Mathematics New Jersey Institute of Technology Newark, New Jersey

More information

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET EXAM for DYNAMICAL SYSTEMS COURSE CODES: TIF 155, FIM770GU, PhD Time: Place: Teachers: Allowed material: Not allowed: August 22, 2018, at 08 30 12 30 Johanneberg Jan Meibohm,

More information

Problem Set Number 5, j/2.036j MIT (Fall 2014)

Problem Set Number 5, j/2.036j MIT (Fall 2014) Problem Set Number 5, 18.385j/2.036j MIT (Fall 2014) Rodolfo R. Rosales (MIT, Math. Dept.,Cambridge, MA 02139) Due Fri., October 24, 2014. October 17, 2014 1 Large µ limit for Liénard system #03 Statement:

More information

The Existence of Chaos in the Lorenz System

The Existence of Chaos in the Lorenz System The Existence of Chaos in the Lorenz System Sheldon E. Newhouse Mathematics Department Michigan State University E. Lansing, MI 48864 joint with M. Berz, K. Makino, A. Wittig Physics, MSU Y. Zou, Math,

More information

11 Chaos in Continuous Dynamical Systems.

11 Chaos in Continuous Dynamical Systems. 11 CHAOS IN CONTINUOUS DYNAMICAL SYSTEMS. 47 11 Chaos in Continuous Dynamical Systems. Let s consider a system of differential equations given by where x(t) : R R and f : R R. ẋ = f(x), The linearization

More information

Mechanisms of Chaos: Stable Instability

Mechanisms of Chaos: Stable Instability Mechanisms of Chaos: Stable Instability Reading for this lecture: NDAC, Sec. 2.-2.3, 9.3, and.5. Unpredictability: Orbit complicated: difficult to follow Repeatedly convergent and divergent Net amplification

More information

Lecture3 The logistic family.

Lecture3 The logistic family. Lecture3 The logistic family. 1 The logistic family. The scenario for 0 < µ 1. The scenario for 1 < µ 3. Period doubling bifurcations in the logistic family. 2 The period doubling bifurcation. The logistic

More information

Practice Problems for Final Exam

Practice Problems for Final Exam Math 1280 Spring 2016 Practice Problems for Final Exam Part 2 (Sections 6.6, 6.7, 6.8, and chapter 7) S o l u t i o n s 1. Show that the given system has a nonlinear center at the origin. ẋ = 9y 5y 5,

More information

NONLINEAR DYNAMICS PHYS 471 & PHYS 571

NONLINEAR DYNAMICS PHYS 471 & PHYS 571 NONLINEAR DYNAMICS PHYS 471 & PHYS 571 Prof. R. Gilmore 12-918 X-2779 robert.gilmore@drexel.edu Office hours: 14:00 Quarter: Winter, 2014-2015 Course Schedule: Tuesday, Thursday, 11:00-12:20 Room: 12-919

More information

2017, James Sethna, all rights reserved. This exercise was developed in collaboration with Christopher Myers.

2017, James Sethna, all rights reserved. This exercise was developed in collaboration with Christopher Myers. Invariant measures (Sethna, "Entropy, Order Parameters, and Complexity", ex. 4.3) 2017, James Sethna, all rights reserved. This exercise was developed in collaboration with Christopher Myers. Liouville's

More information

8.1 Bifurcations of Equilibria

8.1 Bifurcations of Equilibria 1 81 Bifurcations of Equilibria Bifurcation theory studies qualitative changes in solutions as a parameter varies In general one could study the bifurcation theory of ODEs PDEs integro-differential equations

More information

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

Dynamical Systems and Chaos Part I: Theoretical Techniques. Lecture 4: Discrete systems + Chaos. Ilya Potapov Mathematics Department, TUT Room TD325 Dynamical Systems and Chaos Part I: Theoretical Techniques Lecture 4: Discrete systems + Chaos Ilya Potapov Mathematics Department, TUT Room TD325 Discrete maps x n+1 = f(x n ) Discrete time steps. x 0

More information

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

Introduction Knot Theory Nonlinear Dynamics Topology in Chaos Open Questions Summary. Topology in Chaos Introduction Knot Theory Nonlinear Dynamics Open Questions Summary A tangled tale about knot, link, template, and strange attractor Centre for Chaos & Complex Networks City University of Hong Kong Email:

More information

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS Morris W. Hirsch University of California, Berkeley Stephen Smale University of California, Berkeley Robert L. Devaney Boston University

More information

Physics Department Drexel University Philadelphia, PA 19104

Physics Department Drexel University Philadelphia, PA 19104 Overview- Overview- Physics Department Drexel University Philadelphia, PA 19104 robert.gilmore@drexel.edu Physics & Topology Workshop Drexel University, Philadelphia, PA 19104 Sept. 9, 2008 Table of Contents

More information

2 Discrete growth models, logistic map (Murray, Chapter 2)

2 Discrete growth models, logistic map (Murray, Chapter 2) 2 Discrete growth models, logistic map (Murray, Chapter 2) As argued in Lecture 1 the population of non-overlapping generations can be modelled as a discrete dynamical system. This is an example of an

More information

CHAOS/FRACTAL

CHAOS/FRACTAL CHAOS/FRACTAL 8 6.8.6 4.4. 4 5..4.6.8.4 8...8 6.8.6 - - 4.6.4.4 -.. - -6-5 -4 - - -..95.955.96.965.97.975.98..4.6.8 Presentation in Dynamical System. By Fred Khoury Introduction This paper is divided into

More information

WHAT IS A CHAOTIC ATTRACTOR?

WHAT IS A CHAOTIC ATTRACTOR? WHAT IS A CHAOTIC ATTRACTOR? CLARK ROBINSON Abstract. Devaney gave a mathematical definition of the term chaos, which had earlier been introduced by Yorke. We discuss issues involved in choosing the properties

More information

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

DYNAMICAL SYSTEMS. I Clark: Robinson. Stability, Symbolic Dynamics, and Chaos. CRC Press Boca Raton Ann Arbor London Tokyo DYNAMICAL SYSTEMS Stability, Symbolic Dynamics, and Chaos I Clark: Robinson CRC Press Boca Raton Ann Arbor London Tokyo Contents Chapter I. Introduction 1 1.1 Population Growth Models, One Population 2

More information

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS

DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS DIFFERENTIAL EQUATIONS, DYNAMICAL SYSTEMS, AND AN INTRODUCTION TO CHAOS Morris W. Hirsch University of California, Berkeley Stephen Smale University of California, Berkeley Robert L. Devaney Boston University

More information

APPLIED SYMBOLIC DYNAMICS AND CHAOS

APPLIED SYMBOLIC DYNAMICS AND CHAOS DIRECTIONS IN CHAOS VOL. 7 APPLIED SYMBOLIC DYNAMICS AND CHAOS Bai-Lin Hao Wei-Mou Zheng The Institute of Theoretical Physics Academia Sinica, China Vfö World Scientific wl Singapore Sinaaoore NewJersev

More information

Stability of Dynamical systems

Stability of Dynamical systems Stability of Dynamical systems Stability Isolated equilibria Classification of Isolated Equilibria Attractor and Repeller Almost linear systems Jacobian Matrix Stability Consider an autonomous system u

More information

Dynamical Systems with Applications

Dynamical Systems with Applications Stephen Lynch Dynamical Systems with Applications using MATLAB Birkhauser Boston Basel Berlin Preface xi 0 A Tutorial Introduction to MATLAB and the Symbolic Math Toolbox 1 0.1 Tutorial One: The Basics

More information

Bifurcations in the Quadratic Map

Bifurcations in the Quadratic Map Chapter 14 Bifurcations in the Quadratic Map We will approach the study of the universal period doubling route to chaos by first investigating the details of the quadratic map. This investigation suggests

More information

BIFURCATIONS AND STRANGE ATTRACTORS IN A CLIMATE RELATED SYSTEM

BIFURCATIONS AND STRANGE ATTRACTORS IN A CLIMATE RELATED SYSTEM dx dt DIFFERENTIAL EQUATIONS AND CONTROL PROCESSES N 1, 25 Electronic Journal, reg. N P23275 at 7.3.97 http://www.neva.ru/journal e-mail: diff@osipenko.stu.neva.ru Ordinary differential equations BIFURCATIONS

More information

f[x_, μ_] := 4. μ... Nest[f[#,...] &,...,...] Plot[{x, f[...]}, {x, 0, 1}, AspectRatio Equal]

f[x_, μ_] := 4. μ... Nest[f[#,...] &,...,...] Plot[{x, f[...]}, {x, 0, 1}, AspectRatio Equal] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 In this exercise, we use renormalization-group and scaling methods to study the onset of chaos. There are several routes by which a dynamical system can start exhibiting chaotic

More information

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

More Details Fixed point of mapping is point that maps into itself, i.e., x n+1 = x n. More Details Fixed point of mapping is point that maps into itself, i.e., x n+1 = x n. If there are points which, after many iterations of map then fixed point called an attractor. fixed point, If λ

More information

Chapitre 4. Transition to chaos. 4.1 One-dimensional maps

Chapitre 4. Transition to chaos. 4.1 One-dimensional maps Chapitre 4 Transition to chaos In this chapter we will study how successive bifurcations can lead to chaos when a parameter is tuned. It is not an extensive review : there exists a lot of different manners

More information

RELAXATION AND TRANSIENTS IN A TIME-DEPENDENT LOGISTIC MAP

RELAXATION AND TRANSIENTS IN A TIME-DEPENDENT LOGISTIC MAP International Journal of Bifurcation and Chaos, Vol. 12, No. 7 (2002) 1667 1674 c World Scientific Publishing Company RELAATION AND TRANSIENTS IN A TIME-DEPENDENT LOGISTIC MAP EDSON D. LEONEL, J. KAMPHORST

More information

Chapter 4. Transition towards chaos. 4.1 One-dimensional maps

Chapter 4. Transition towards chaos. 4.1 One-dimensional maps Chapter 4 Transition towards chaos In this chapter we will study how successive bifurcations can lead to chaos when a parameter is tuned. It is not an extensive review : there exists a lot of different

More information

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad

Fundamentals of Dynamical Systems / Discrete-Time Models. Dr. Dylan McNamara people.uncw.edu/ mcnamarad Fundamentals of Dynamical Systems / Discrete-Time Models Dr. Dylan McNamara people.uncw.edu/ mcnamarad Dynamical systems theory Considers how systems autonomously change along time Ranges from Newtonian

More information

A useful canonical form for low dimensional attractors

A useful canonical form for low dimensional attractors A useful canonical form for low dimensional attractors Nicola Romanazzi 1, Valerie Messager 2, Christophe Letellier 2, Marc Lefranc 3, and Robert Gilmore 1 1 Physics Department, Drexel University, Philadelphia,

More information

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

Chaos. Dr. Dylan McNamara people.uncw.edu/mcnamarad Chaos Dr. Dylan McNamara people.uncw.edu/mcnamarad Discovery of chaos Discovered in early 1960 s by Edward N. Lorenz (in a 3-D continuous-time model) Popularized in 1976 by Sir Robert M. May as an example

More information

Stability and Bifurcation in the Hénon Map and its Generalizations

Stability and Bifurcation in the Hénon Map and its Generalizations Chaotic Modeling and Simulation (CMSIM) 4: 529 538, 2013 Stability and Bifurcation in the Hénon Map and its Generalizations O. Ozgur Aybar 1, I. Kusbeyzi Aybar 2, and A. S. Hacinliyan 3 1 Gebze Institute

More information

Solutions to homework assignment #7 Math 119B UC Davis, Spring for 1 r 4. Furthermore, the derivative of the logistic map is. L r(x) = r(1 2x).

Solutions to homework assignment #7 Math 119B UC Davis, Spring for 1 r 4. Furthermore, the derivative of the logistic map is. L r(x) = r(1 2x). Solutions to homework assignment #7 Math 9B UC Davis, Spring 0. A fixed point x of an interval map T is called superstable if T (x ) = 0. Find the value of 0 < r 4 for which the logistic map L r has a

More information

Solutions for B8b (Nonlinear Systems) Fake Past Exam (TT 10)

Solutions for B8b (Nonlinear Systems) Fake Past Exam (TT 10) Solutions for B8b (Nonlinear Systems) Fake Past Exam (TT 10) Mason A. Porter 15/05/2010 1 Question 1 i. (6 points) Define a saddle-node bifurcation and show that the first order system dx dt = r x e x

More information

Invariant manifolds of the Bonhoeffer-van der Pol oscillator

Invariant manifolds of the Bonhoeffer-van der Pol oscillator Invariant manifolds of the Bonhoeffer-van der Pol oscillator R. Benítez 1, V. J. Bolós 2 1 Dpto. Matemáticas, Centro Universitario de Plasencia, Universidad de Extremadura. Avda. Virgen del Puerto 2. 10600,

More information

Physics Department Drexel University Philadelphia, PA

Physics Department Drexel University Philadelphia, PA Physics Department Drexel University Philadelphia, PA 19104 robert.gilmore@drexel.edu Colloquium, Physics Department University of Florida, Gainesville, FL October 6, 2008 Physics Department Drexel University

More information

Finding numerically Newhouse sinks near a homoclinic tangency and investigation of their chaotic transients. Takayuki Yamaguchi

Finding numerically Newhouse sinks near a homoclinic tangency and investigation of their chaotic transients. Takayuki Yamaguchi Hokkaido Mathematical Journal Vol. 44 (2015) p. 277 312 Finding numerically Newhouse sinks near a homoclinic tangency and investigation of their chaotic transients Takayuki Yamaguchi (Received March 13,

More information

The Sine Map. Jory Griffin. May 1, 2013

The Sine Map. Jory Griffin. May 1, 2013 The Sine Map Jory Griffin May, 23 Introduction Unimodal maps on the unit interval are among the most studied dynamical systems. Perhaps the two most frequently mentioned are the logistic map and the tent

More information

Chaos Theory. Namit Anand Y Integrated M.Sc.( ) Under the guidance of. Prof. S.C. Phatak. Center for Excellence in Basic Sciences

Chaos Theory. Namit Anand Y Integrated M.Sc.( ) Under the guidance of. Prof. S.C. Phatak. Center for Excellence in Basic Sciences Chaos Theory Namit Anand Y1111033 Integrated M.Sc.(2011-2016) Under the guidance of Prof. S.C. Phatak Center for Excellence in Basic Sciences University of Mumbai 1 Contents 1 Abstract 3 1.1 Basic Definitions

More information

On Riddled Sets and Bifurcations of Chaotic Attractors

On Riddled Sets and Bifurcations of Chaotic Attractors Applied Mathematical Sciences, Vol. 1, 2007, no. 13, 603-614 On Riddled Sets and Bifurcations of Chaotic Attractors I. Djellit Department of Mathematics University of Annaba B.P. 12, 23000 Annaba, Algeria

More information

MATH 614 Dynamical Systems and Chaos Lecture 2: Periodic points. Hyperbolicity.

MATH 614 Dynamical Systems and Chaos Lecture 2: Periodic points. Hyperbolicity. MATH 614 Dynamical Systems and Chaos Lecture 2: Periodic points. Hyperbolicity. Orbit Let f : X X be a map defining a discrete dynamical system. We use notation f n for the n-th iteration of f defined

More information

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

Co-existence of Regular and Chaotic Motions in the Gaussian Map EJTP 3, No. 13 (2006) 29 40 Electronic Journal of Theoretical Physics Co-existence of Regular and Chaotic Motions in the Gaussian Map Vinod Patidar Department of Physics, Banasthali Vidyapith Deemed University,

More information

Homework 2 Modeling complex systems, Stability analysis, Discrete-time dynamical systems, Deterministic chaos

Homework 2 Modeling complex systems, Stability analysis, Discrete-time dynamical systems, Deterministic chaos Homework 2 Modeling complex systems, Stability analysis, Discrete-time dynamical systems, Deterministic chaos (Max useful score: 100 - Available points: 125) 15-382: Collective Intelligence (Spring 2018)

More information

vii Contents 7.5 Mathematica Commands in Text Format 7.6 Exercises

vii Contents 7.5 Mathematica Commands in Text Format 7.6 Exercises Preface 0. A Tutorial Introduction to Mathematica 0.1 A Quick Tour of Mathematica 0.2 Tutorial 1: The Basics (One Hour) 0.3 Tutorial 2: Plots and Differential Equations (One Hour) 0.4 Mathematica Programs

More information

Solution to Homework #5 Roy Malka 1. Questions 2,3,4 of Homework #5 of M. Cross class. dv (x) dx

Solution to Homework #5 Roy Malka 1. Questions 2,3,4 of Homework #5 of M. Cross class. dv (x) dx Solution to Homework #5 Roy Malka. Questions 2,,4 of Homework #5 of M. Cross class. Bifurcations: (M. Cross) Consider the bifurcations of the stationary solutions of a particle undergoing damped one dimensional

More information

arxiv: v1 [nlin.cd] 20 Jul 2010

arxiv: v1 [nlin.cd] 20 Jul 2010 Invariant manifolds of the Bonhoeffer-van der Pol oscillator arxiv:1007.3375v1 [nlin.cd] 20 Jul 2010 R. Benítez 1, V. J. Bolós 2 1 Departamento de Matemáticas, Centro Universitario de Plasencia, Universidad

More information

Sufficient conditions for a period incrementing big bang bifurcation in one-dimensional maps.

Sufficient conditions for a period incrementing big bang bifurcation in one-dimensional maps. Sufficient conditions for a period incrementing big bang bifurcation in one-dimensional maps. V. Avrutin, A. Granados and M. Schanz Abstract Typically, big bang bifurcation occur for one (or higher)-dimensional

More information

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

Unstable Periodic Orbits as a Unifying Principle in the Presentation of Dynamical Systems in the Undergraduate Physics Curriculum Unstable Periodic Orbits as a Unifying Principle in the Presentation of Dynamical Systems in the Undergraduate Physics Curriculum Bruce M. Boghosian 1 Hui Tang 1 Aaron Brown 1 Spencer Smith 2 Luis Fazendeiro

More information

On the periodic logistic equation

On the periodic logistic equation On the periodic logistic equation Ziyad AlSharawi a,1 and James Angelos a, a Central Michigan University, Mount Pleasant, MI 48858 Abstract We show that the p-periodic logistic equation x n+1 = µ n mod

More information

A MINIMAL 2-D QUADRATIC MAP WITH QUASI-PERIODIC ROUTE TO CHAOS

A MINIMAL 2-D QUADRATIC MAP WITH QUASI-PERIODIC ROUTE TO CHAOS International Journal of Bifurcation and Chaos, Vol. 18, No. 5 (2008) 1567 1577 c World Scientific Publishing Company A MINIMAL 2-D QUADRATIC MAP WITH QUASI-PERIODIC ROUTE TO CHAOS ZERAOULIA ELHADJ Department

More information

theory, which can be quite useful in more complex systems.

theory, which can be quite useful in more complex systems. Physics 7653: Statistical Physics http://www.physics.cornell.edu/sethna/teaching/653/ In Class Exercises Last correction at August 30, 2018, 11:55 am c 2017, James Sethna, all rights reserved 9.5 Landau

More information

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II.

Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II. Mathematical Foundations of Neuroscience - Lecture 7. Bifurcations II. Filip Piękniewski Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland Winter 2009/2010 Filip

More information

PHY411 Lecture notes Part 5

PHY411 Lecture notes Part 5 PHY411 Lecture notes Part 5 Alice Quillen January 27, 2016 Contents 0.1 Introduction.................................... 1 1 Symbolic Dynamics 2 1.1 The Shift map.................................. 3 1.2

More information

A Two-dimensional Discrete Mapping with C Multifold Chaotic Attractors

A Two-dimensional Discrete Mapping with C Multifold Chaotic Attractors EJTP 5, No. 17 (2008) 111 124 Electronic Journal of Theoretical Physics A Two-dimensional Discrete Mapping with C Multifold Chaotic Attractors Zeraoulia Elhadj a, J. C. Sprott b a Department of Mathematics,

More information

Introduction to Dynamical Systems Basic Concepts of Dynamics

Introduction to Dynamical Systems Basic Concepts of Dynamics Introduction to Dynamical Systems Basic Concepts of Dynamics A dynamical system: Has a notion of state, which contains all the information upon which the dynamical system acts. A simple set of deterministic

More information

Chapter 23. Predicting Chaos The Shift Map and Symbolic Dynamics

Chapter 23. Predicting Chaos The Shift Map and Symbolic Dynamics Chapter 23 Predicting Chaos We have discussed methods for diagnosing chaos, but what about predicting the existence of chaos in a dynamical system. This is a much harder problem, and it seems that the

More information

B5.6 Nonlinear Systems

B5.6 Nonlinear Systems B5.6 Nonlinear Systems 5. Global Bifurcations, Homoclinic chaos, Melnikov s method Alain Goriely 2018 Mathematical Institute, University of Oxford Table of contents 1. Motivation 1.1 The problem 1.2 A

More information

1. deterministic 2. bounded 3. nonperiodic 4. sensitive to initial conditions. dx i dt. D f i (x 1, x 2,...,x N I c). (1.1)

1. deterministic 2. bounded 3. nonperiodic 4. sensitive to initial conditions. dx i dt. D f i (x 1, x 2,...,x N I c). (1.1) 1 1 Introduction The subject of this book is chaos as seen through the filter of topology. The origin of this book lies in the analysis of data generated by a dynamical system operating in a chaotic regime.

More information

Dynamical Systems with Applications using Mathematica

Dynamical Systems with Applications using Mathematica Stephen Lynch Dynamical Systems with Applications using Mathematica Birkhäuser Boston Basel Berlin Contents Preface xi 0 A Tutorial Introduction to Mathematica 1 0.1 A Quick Tour of Mathematica 2 0.2 Tutorial

More information

2 Discrete Dynamical Systems: Maps

2 Discrete Dynamical Systems: Maps 19 2 Discrete Dynamical Systems: Maps 2.1 Introduction Many physical systems displaying chaotic behavior are accurately described by mathematical models derived from well-understood physical principles.

More information

Part II. Dynamical Systems. Year

Part II. Dynamical Systems. Year Part II Year 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2017 34 Paper 1, Section II 30A Consider the dynamical system where β > 1 is a constant. ẋ = x + x 3 + βxy 2, ẏ = y + βx 2

More information

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations TWO DIMENSIONAL FLOWS Lecture 5: Limit Cycles and Bifurcations 5. Limit cycles A limit cycle is an isolated closed trajectory [ isolated means that neighbouring trajectories are not closed] Fig. 5.1.1

More information

Lecture 1: A Preliminary to Nonlinear Dynamics and Chaos

Lecture 1: A Preliminary to Nonlinear Dynamics and Chaos Lecture 1: A Preliminary to Nonlinear Dynamics and Chaos Autonomous Systems A set of coupled autonomous 1st-order ODEs. Here "autonomous" means that the right hand side of the equations does not explicitly

More information

Numerical Algorithms as Dynamical Systems

Numerical Algorithms as Dynamical Systems A Study on Numerical Algorithms as Dynamical Systems Moody Chu North Carolina State University What This Study Is About? To recast many numerical algorithms as special dynamical systems, whence to derive

More information

2 Dynamics of One-Parameter Families

2 Dynamics of One-Parameter Families Dynamics, Chaos, and Fractals (part ): Dynamics of One-Parameter Families (by Evan Dummit, 015, v. 1.5) Contents Dynamics of One-Parameter Families 1.1 Bifurcations in One-Parameter Families..................................

More information

ECE 8803 Nonlinear Dynamics and Applications Spring Georgia Tech Lorraine

ECE 8803 Nonlinear Dynamics and Applications Spring Georgia Tech Lorraine ECE 8803 Nonlinear Dynamics and Applications Spring 2018 Georgia Tech Lorraine Brief Description Introduction to the nonlinear dynamics of continuous-time and discrete-time systems. Routes to chaos. Quantification

More information

ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS

ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS Journal of Pure and Applied Mathematics: Advances and Applications Volume 0 Number 0 Pages 69-0 ONE DIMENSIONAL CHAOTIC DYNAMICAL SYSTEMS HENA RANI BISWAS Department of Mathematics University of Barisal

More information

A New Hyperchaotic Attractor with Complex Patterns

A New Hyperchaotic Attractor with Complex Patterns A New Hyperchaotic Attractor with Complex Patterns Safieddine Bouali University of Tunis, Management Institute, Department of Quantitative Methods & Economics, 41, rue de la Liberté, 2000, Le Bardo, Tunisia

More information

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. EXAM for DYNAMICAL SYSTEMS. COURSE CODES: TIF 155, FIM770GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET EXAM for DYNAMICAL SYSTEMS COURSE CODES: TIF 155, FIM770GU, PhD Time: Place: Teachers: Allowed material: Not allowed: January 14, 2019, at 08 30 12 30 Johanneberg Kristian

More information

Essential Understandings. Essential Questions. Essential Knowledge. Vocabulary. Essential Skills. 1 of 5

Essential Understandings. Essential Questions. Essential Knowledge. Vocabulary. Essential Skills. 1 of 5 Understandings Questions Knowledge Vocabulary Skills The concept of a derivative is introduced using limits & continuity. Students find derivative shortcuts for the basic functions. Students explore where

More information

Clearly the passage of an eigenvalue through to the positive real half plane leads to a qualitative change in the phase portrait, i.e.

Clearly the passage of an eigenvalue through to the positive real half plane leads to a qualitative change in the phase portrait, i.e. Bifurcations We have already seen how the loss of stiffness in a linear oscillator leads to instability. In a practical situation the stiffness may not degrade in a linear fashion, and instability may

More information

Math 212-Lecture Interior critical points of functions of two variables

Math 212-Lecture Interior critical points of functions of two variables Math 212-Lecture 24 13.10. Interior critical points of functions of two variables Previously, we have concluded that if f has derivatives, all interior local min or local max should be critical points.

More information

Are numerical studies of long term dynamics conclusive: the case of the Hénon map

Are numerical studies of long term dynamics conclusive: the case of the Hénon map Journal of Physics: Conference Series PAPER OPEN ACCESS Are numerical studies of long term dynamics conclusive: the case of the Hénon map To cite this article: Zbigniew Galias 2016 J. Phys.: Conf. Ser.

More information

Nonlinear Dynamics and Chaos

Nonlinear Dynamics and Chaos Ian Eisenman eisenman@fas.harvard.edu Geological Museum 101, 6-6352 Nonlinear Dynamics and Chaos Review of some of the topics covered in homework problems, based on section notes. December, 2005 Contents

More information

computer session iv: Two-parameter bifurcation analysis of equilibria and limit cycles with matcont

computer session iv: Two-parameter bifurcation analysis of equilibria and limit cycles with matcont computer session iv: Two-parameter bifurcation analysis of equilibria and limit cycles with matcont Yu.A. Kuznetsov Department of Mathematics Utrecht University Budapestlaan 6 3508 TA, Utrecht May 16,

More information

Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations

Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations Logistic Map, Euler & Runge-Kutta Method and Lotka-Volterra Equations S. Y. Ha and J. Park Department of Mathematical Sciences Seoul National University Sep 23, 2013 Contents 1 Logistic Map 2 Euler and

More information

Liapunov Exponent. September 19, 2011

Liapunov Exponent. September 19, 2011 Liapunov Exponent September 19, 2011 1 Introduction At times, it is difficult to see whether a system is chaotic or not. We can use the Liapunov Exponent to check if an orbit is stable, which will give

More information

Constructing a chaotic system with any number of equilibria

Constructing a chaotic system with any number of equilibria Nonlinear Dyn (2013) 71:429 436 DOI 10.1007/s11071-012-0669-7 ORIGINAL PAPER Constructing a chaotic system with any number of equilibria Xiong Wang Guanrong Chen Received: 9 June 2012 / Accepted: 29 October

More information

Electronic Circuit Simulation of the Lorenz Model With General Circulation

Electronic Circuit Simulation of the Lorenz Model With General Circulation International Journal of Physics, 2014, Vol. 2, No. 5, 124-128 Available online at http://pubs.sciepub.com/ijp/2/5/1 Science and Education Publishing DOI:10.12691/ijp-2-5-1 Electronic Circuit Simulation

More information

ALGEBRAIC GEOMETRY HOMEWORK 3

ALGEBRAIC GEOMETRY HOMEWORK 3 ALGEBRAIC GEOMETRY HOMEWORK 3 (1) Consider the curve Y 2 = X 2 (X + 1). (a) Sketch the curve. (b) Determine the singular point P on C. (c) For all lines through P, determine the intersection multiplicity

More information

CHAPTER 2 FEIGENBAUM UNIVERSALITY IN 1-DIMENSIONAL NONLINEAR ALGEBRAIC MAPS

CHAPTER 2 FEIGENBAUM UNIVERSALITY IN 1-DIMENSIONAL NONLINEAR ALGEBRAIC MAPS CHAPTER 2 FEIGENBAUM UNIVERSALITY IN 1-DIMENSIONAL NONLINEAR ALGEBRAIC MAPS The chief aim of this chapter is to discuss the dynamical behaviour of some 1-dimensional discrete maps. In this chapter, we

More information

Lesson 4: Non-fading Memory Nonlinearities

Lesson 4: Non-fading Memory Nonlinearities Lesson 4: Non-fading Memory Nonlinearities Nonlinear Signal Processing SS 2017 Christian Knoll Signal Processing and Speech Communication Laboratory Graz University of Technology June 22, 2017 NLSP SS

More information

MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation

MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation MATH 415, WEEK 11: Bifurcations in Multiple Dimensions, Hopf Bifurcation 1 Bifurcations in Multiple Dimensions When we were considering one-dimensional systems, we saw that subtle changes in parameter

More information

Chapter 1 Bifurcations and Chaos in Dynamical Systems

Chapter 1 Bifurcations and Chaos in Dynamical Systems Chapter 1 Bifurcations and Chaos in Dynamical Systems Complex system theory deals with dynamical systems containing often a large number of variables. It extends dynamical system theory, which deals with

More information