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

Similar documents
2 Problem Set 2 Graphical Analysis

MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points.

Discrete dynamics on the real line

Chaos in the Dynamics of the Family of Mappings f c (x) = x 2 x + c

Section 11.1 Sequences

Induction, sequences, limits and continuity

Limits at Infinity. Horizontal Asymptotes. Definition (Limits at Infinity) Horizontal Asymptotes

MAT335H1F Lec0101 Burbulla

Solution to Homework #4 Roy Malka

Zoology of Fatou sets

Lecture3 The logistic family.

MS 3011 Exercises. December 11, 2013

Revision notes for Pure 1(9709/12)

Homework and Computer Problems for Math*2130 (W17).

One Dimensional Dynamical Systems

Math 203A - Solution Set 1

Lecture2 The implicit function theorem. Bifurcations.

Analytical Aproach on the Dynamics of the Quadratic Map Fµ(X) = µx(1-x), For 1 < µ < 3 And 0 < X < 1

Math 5490 Network Flows

Factors of Polynomials Factoring For Experts

MS Dynamical Systems. J.P. McCarthy

Fixed Points & Fatou Components

Solutions to homework Assignment #6 Math 119B UC Davis, Spring 2012

Topological conjugacy and symbolic dynamics

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

MATH 409 Advanced Calculus I Lecture 7: Monotone sequences. The Bolzano-Weierstrass theorem.

Test 2 Review Math 1111 College Algebra

MS Dynamical Systems. J.P. McCarthy

MATH 614 Dynamical Systems and Chaos Lecture 24: Bifurcation theory in higher dimensions. The Hopf bifurcation.

TWO DIMENSIONAL FLOWS. Lecture 5: Limit Cycles and Bifurcations

FRACTAL GEOMETRY, DYNAMICAL SYSTEMS AND CHAOS

Infinite Series. Copyright Cengage Learning. All rights reserved.

HW#2: Quads 7 #1 6. How do you find the answer to a Quadratic Inequality? 02Quad7 SolvingQuadraticInequalities Notes.notebook.

Problem Set Number 1, j/2.036j MIT (Fall 2014)

Precalculus Lesson 4.1 Polynomial Functions and Models Mrs. Snow, Instructor

notes 5d. Details of the Construction of the Smale horseshoe map.

Math-2A Lesson 13-3 (Analyzing Functions, Systems of Equations and Inequalities) Which functions are symmetric about the y-axis?

Math 0320 Final Exam Review

The Existence of Chaos in the Lorenz System

Contents. 1 Introduction to Dynamics. 1.1 Examples of Dynamical Systems

5.1 Polynomial Functions

Replacing the a in the definition of the derivative of the function f at a with a variable x, gives the derivative function f (x).

Goal. Partially-ordered set. Game plan 2/2/2013. Solving fixpoint equations

PERIODIC POINTS OF THE FAMILY OF TENT MAPS

Sequence. A list of numbers written in a definite order.

Solutions: Problem Set 4 Math 201B, Winter 2007

EQ: What are limits, and how do we find them? Finite limits as x ± Horizontal Asymptote. Example Horizontal Asymptote

SOLUTIONS FOR PROBLEMS 1-30

Definitions & Theorems

Calculus (Real Analysis I)

Infinity Unit 2: Chaos! Dynamical Systems

MAT335H1F Lec0101 Burbulla

Math 2 Variable Manipulation Part 7 Absolute Value & Inequalities

Polynomial Functions and Their Graphs

Solutions Final Exam May. 14, 2014

Day 6: 6.4 Solving Polynomial Equations Warm Up: Factor. 1. x 2-2x x 2-9x x 2 + 6x + 5

Stability and chaos in real polynomial maps

PHY411 Lecture notes Part 5

The Schwarzian Derivative

Numerical Analysis Solution of Algebraic Equation (non-linear equation) 1- Trial and Error. 2- Fixed point

Notation Nodes are data points at which functional values are available or at which you wish to compute functional values At the nodes fx i

The Derivative Function. Differentiation

1. Introduction. 2. Outlines

Calculus from Graphical, Numerical, and Symbolic Points of View, 2e Arnold Ostebee & Paul Zorn

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

Chaos: From Seeing to Believing

Solutions to Laplace s Equations

1. Theorem. (Archimedean Property) Let x be any real number. There exists a positive integer n greater than x.

Caculus 221. Possible questions for Exam II. March 19, 2002

MADHAVA MATHEMATICS COMPETITION, December 2015 Solutions and Scheme of Marking

Elliptic Curves and Public Key Cryptography

CHAOS/FRACTAL

7 Two-dimensional bifurcations

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);

More Polynomial Equations Section 6.4

Math 341: Probability Eighth Lecture (10/6/09)

+ 1 3 x2 2x x3 + 3x 2 + 0x x x2 2x + 3 4

3.4. ZEROS OF POLYNOMIAL FUNCTIONS

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions

An Invitation to Mathematics Prof. Sankaran Vishwanath Institute of Mathematical Sciences, Chennai. Unit I Polynomials Lecture 1A Introduction

Math 12: Discrete Dynamical Systems Homework

B553 Lecture 1: Calculus Review

Lectures on Periodic Orbits

Period Three, Chaos and Fractals

Nonlinear dynamics & chaos BECS

Simple Iteration, cont d

UNIVERSITY OF TORONTO Faculty of Arts and Science DECEMBER 2011 EXAMINATIONS. MAT335H1F Solutions Chaos, Fractals and Dynamics Examiner: D.

Non Locally-Connected Julia Sets constructed by iterated tuning

Varberg 8e-9e-ET Version Table of Contents Comparisons

Neuchatel #1, a talk at SSC Hearing, Friday September 4, 1998 Submitted to the Proceedings, Thomas Bernold, ed., Friday October 30, 1998

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS III: Autonomous Planar Systems David Levermore Department of Mathematics University of Maryland

In particular, if A is a square matrix and λ is one of its eigenvalues, then we can find a non-zero column vector X with

ABSTRACT. HEWITT, CHRISTINA M. Real Roots of Polynomials with Real Coefficients. (Under the direction of Dr. Michael Singer).

SF2822 Applied Nonlinear Optimization. Preparatory question. Lecture 9: Sequential quadratic programming. Anders Forsgren

CS 6110 Lecture 21 The Fixed-Point Theorem 8 March 2013 Lecturer: Andrew Myers. 1 Complete partial orders (CPOs) 2 Least fixed points of functions

Math 203A - Solution Set 1

Today s class. Numerical differentiation Roots of equation Bracketing methods. Numerical Methods, Fall 2011 Lecture 4. Prof. Jinbo Bi CSE, UConn

MATH 614 Dynamical Systems and Chaos Lecture 7: Symbolic dynamics (continued).

Questionnaire for CSET Mathematics subset 1

Math 473: Practice Problems for Test 1, Fall 2011, SOLUTIONS

Transcription:

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 inductively by f 1 = f and f n = f n 1 f for n = 2,3,... Definition. The forward orbit (or simply orbit) of a point x X under the map f is a sequence x,f(x),f 2 (x),f 3 (x),... The set of all points in this sequence is denoted O + (x) or O + f (x). This set is also referred to as the orbit of x. In the case f is invertible, we can also define the backward orbit of x under f as the forward orbit of x under the inverse map f 1. Together, the forward and backward orbits form the full orbit of x under f, which is a bi-infinite sequence...,f 2 (x),f 1 (x),x,f(x),f 2 (x),... (here f n = (f 1 ) n, n = 2,3,...). The set of points in the backward orbit is denoted O (x) and the set of points in the full orbit is denoted O(x). Clearly, O(x) = O + (x) O (x).

Periodic points Definition. A point x X is called a fixed point of a map f : X X if f(x) = x. A point x X is called a periodic point of a map f : X X if f n (x) = x for some integer n 1. The integer n is called a period of x. The least integer n satisfying this relation is called the prime period of x. A point x X is called an eventually periodic point of a map f : X X if the orbit O + f (x) is a finite set. In the case f is invertible, any eventually periodic point is actually periodic.

Examples In all examples, f is a transformation of the real line R. f(x) = x. 0 is a fixed point; the other points are periodic with period 2. f(x) = λx, 0 < λ < 1. 0 is a fixed point; the orbit of any x 0 converges to 0. f(x) = x 3. 1, 0, and 1 are fixed points. The orbit of any other x R is strictly monotone; it converges to 0 if x < 1 and diverges to infinity if x > 1. f(x) = x 2. 0 and 1 are fixed points while 1 is an eventually fixed point. The orbit of a point x R converges to 0 if x < 1 and diverges to infinity if x > 1.

Phase portrait One-dimensional dynamical systems can be studied using the phase portrait, which is a picture of the real line with arrows joining some points to their images. In particular, an orbit is pictured as a chain of arrows. Examples. (a) f(x) = x, (b) f(x) = 2x, (c) f(x) = x/2, (d) f(x) = x 3.

Graphical analysis Another way to study a one-dimensional dynamical systems f, called graphic analysis, uses the graph of the function f along with the graph of the identity function.

This example shows graphic analysis of the function g(x) = x 3. It is typical for all continuous functions that are strictly increasing. Namely, every orbit is either increasing or decreasing or constant. In particular, the only periodic points are fixed points. Furthermore, every orbit either converges to a fixed point or diverges to infinity.

Hyperbolicity Suppose X is an interval of the real line and f : X X is a differentiable map. Definition. Let p be a periodic point of f of prime period n. The point p is called hyperbolic if (f n ) (p) 1. The number λ = (f n ) (p) is called the multiplier of the periodic point p. Note that (f n ) (p) = f (p) f (f(p))... f (f n 1 (p)). It follows that all periodic points in the same orbit have the same multiplier. Definition. A hyperbolic periodic point with a multiplier λ is called repelling if λ > 1 and attracting if λ < 1. It is called super-attracting if λ = 0.

Attracting fixed points The phase portrait near a hyperbolic fixed point depends on its multiplier λ. (a) 0 < λ < 1, (b) λ = 0, (c) 1 < λ < 0.

Repelling fixed points The phase portrait near a hyperbolic fixed point depends on its multiplier λ. (a) λ > 1, (b) λ < 1.

Non-hyperbolic fixed points In a small neighborhood of a non-hyperbolic fixed point, various dynamical systems can exhibit various kinds of behavior. Examples with the fixed point 0: (a) f(x) = x +x 3, (b) f(x) = x x 3, (c) f(x) = x +x 2.

Quadratic family The quadratic family is the family of maps F µ (x) = µx(1 x) depending on the parameter µ > 1. The map F µ has two fixed points 0 and p µ = (µ 1)/µ (0,1). Besides, 1 is an eventually fixed point. Orbits of all points outside of the interval [0, 1] diverge to.

Quadratic family In the case 1 < µ < 3, the fixed point p µ = (µ 1)/µ is attracting. Moreover, the orbit of any point x (0,1) converges to p µ. These are phase portraits of F µ near the fixed point p µ for 1 < µ < 2 and 2 < µ < 3.