Period Three, Chaos and Fractals

Similar documents
Period Three, Chaos and Fractals

5.5 Deeper Properties of Continuous Functions

6.2 Deeper Properties of Continuous Functions

Discrete dynamics on the real line

Lecture 4. Section 2.5 The Pinching Theorem Section 2.6 Two Basic Properties of Continuity. Jiwen He. Department of Mathematics, University of Houston

Mathematics 220 Workshop Cardinality. Some harder problems on cardinality.

Holomorphic Dynamics Part 1. Holomorphic dynamics on the Riemann sphere

4 Limit and Continuity of Functions

1,3. f x x f x x. Lim. Lim. Lim. Lim Lim. y 13x b b 10 b So the equation of the tangent line is y 13x

Part 2 Continuous functions and their properties

ADVANCED CALCULUS - MTH433 LECTURE 4 - FINITE AND INFINITE SETS

We have been going places in the car of calculus for years, but this analysis course is about how the car actually works.

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

We saw in the previous lectures that continuity and differentiability help to understand some aspects of a

Functional Equations

Chapter 3: Inequalities, Lines and Circles, Introduction to Functions

MATH 2200 Final Review

Fractals. Part 6 : Julia and Mandelbrot sets, Martin Samuelčík Department of Applied Informatics

Julia Sets and the Mandelbrot Set

Math 1120 Calculus, sections 3 and 10 Test 1

Definition: A "system" of equations is a set or collection of equations that you deal with all together at once.

Continuity. Chapter 4

Lecture 1: Period Three Implies Chaos

Zoology of Fatou sets

CLASS NOTES FOR APRIL 14, 2000

Fourth Week: Lectures 10-12

Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain.

Lecture 21: Numerical Solution of Differential Equations

Chapter 5: Integer Compositions and Partitions and Set Partitions

CSC165. Larry Zhang, October 7, 2014

Test 2 Review Math 1111 College Algebra

Chapter 5: Integer Compositions and Partitions and Set Partitions

AP Calculus Summer Packet

Solutions Parabola Volume 49, Issue 2 (2013)

Math 115 Spring 11 Written Homework 10 Solutions

b 0 + b 1 z b d z d

The Mandelbrot Set. Andrew Brown. April 14, 2008

Tropical Polynomials

Consequences of Continuity

Connectedness. Proposition 2.2. The following are equivalent for a topological space (X, T ).

Discrete Mathematics for CS Spring 2007 Luca Trevisan Lecture 27

Solutions to Problem Sheet for Week 11

Grade 11/12 Math Circles Elliptic Curves Dr. Carmen Bruni November 4, 2015

Mathematics for Business and Economics - I. Chapter 5. Functions (Lecture 9)

Math 104: Homework 7 solutions

Complex Analysis for F2

2. If the values for f(x) can be made as close as we like to L by choosing arbitrarily large. lim

Calculus (Math 1A) Lecture 5

Mathematics E-15 Seminar on Limits Suggested Lesson Topics

MATH SOLUTIONS TO PRACTICE MIDTERM LECTURE 1, SUMMER Given vector spaces V and W, V W is the vector space given by

LECTURE OCTOBER, 2016

PERIODIC POINTS OF THE FAMILY OF TENT MAPS

A Short Review of Cardinality

MA 1128: Lecture 08 03/02/2018. Linear Equations from Graphs And Linear Inequalities

1 Continuity and Limits of Functions

19. Basis and Dimension

A Level Maths summer preparation work

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions

2 Problem Set 2 Graphical Analysis

1 Invariant subspaces

Calculus 1: Sample Questions, Final Exam

Math 2414 Activity 1 (Due by end of class Jan. 26) Precalculus Problems: 3,0 and are tangent to the parabola axis. Find the other line.

Continuity. Chapter 4

Chapter 4E - Combinations of Functions

Exercises for Unit VI (Infinite constructions in set theory)

The fundamental theorem of calculus for definite integration helped us to compute If has an anti-derivative,

Section 1.4 Tangents and Velocity

Chapter 8: Taylor s theorem and L Hospital s rule

Solutions to Math 41 First Exam October 18, 2012

MAT01A1: Functions and Mathematical Models

14 Increasing and decreasing functions

Ergodic Theory and Topological Groups

5.5 Deeper Properties of Continuous Functions

Math 2414 Activity 1 (Due by end of class July 23) Precalculus Problems: 3,0 and are tangent to the parabola axis. Find the other line.

Math 61CM - Quick answer key to section problems Fall 2018

Introduction to Proofs in Analysis. updated December 5, By Edoh Y. Amiran Following the outline of notes by Donald Chalice INTRODUCTION

NP-Completeness I. Lecture Overview Introduction: Reduction and Expressiveness

Introduction: Pythagorean Triplets

A dual form of the sharp Nash inequality and its weighted generalization

POL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005

MATH240: Linear Algebra Review for exam #1 6/10/2015 Page 1

Do now as a warm up: Is there some number a, such that this limit exists? If so, find the value of a and find the limit. If not, explain why not.

Try the assignment f(1) = 2; f(2) = 1; f(3) = 4; f(4) = 3;.

Mathematical induction

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

Exploring Graphs of Polynomial Functions

Enumerative Combinatorics 7: Group actions

Lecture 7: Etale Fundamental Group - Examples

Unit 4 Day 4 & 5. Piecewise Functions

Module 2: Reflecting on One s Problems

Consequences of Continuity

Jim Lambers MAT 460 Fall Semester Lecture 2 Notes

Mathematics (MEI) Advanced Subsidiary GCE Core 1 (4751) May 2010

MATH 13 SAMPLE FINAL EXAM SOLUTIONS

16.5 Problem Solving with Functions

Sign of derivative test: when does a function decreases or increases:

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero

Topological conjugacy and symbolic dynamics

n=0 xn /n!. That is almost what we have here; the difference is that the denominator is (n + 1)! in stead of n!. So we have x n+1 n=0

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

Transcription:

Imperial, May 2012

Three Different Projects (A) Real one-dimensional dynamics: builds on analysis from the first year. (B) Complex dynamics: ask you to computer experiments and computer coding. (C) Complex dynamics: looks ahead at material from the 2nd year, but requires no material except what you already know from the first year (and knowledge about complex numbers - what you already know from secondary school). Does anybody already know which topic he/she wants to do? They will all be fun!

Next, I will discuss each of the projects in some more detail and will tell you exactly what you would need to do by next Wednesday if you choose that topic. This will make up about 1/3 of the project. For the week after, I will give guidance, but you will have more freedom how to take it further.

Topic A: The Sarkovskii Theorem Let us motivate the so-called Sarkovskii ordering on N 3 5 7 9 2 3 2 5 8 4 2 1. Let f : [0, 1] [0, 1] be continuous and consider successive iterates x n+1 = f (x n ) of a point x 0 = x [0, 1]. So x n = f n (x 0 ) where f n = f} f {{ f}. n times We say that x is periodic if f n (x) = x for some n 1. The minimal such number is called the period of x. Theorem (Sarkovskii 1964) If p q and f has a periodic point of (minimal) period p then it also has a periodic point of minimal period q. In particular, period three implies all periods. We will see that the main ingredient for this is the intermediate value theorem.

Topic A: The task for this week is to understand some background and all the ingredients for the proof of this theorem.

Topic A: Examples of interval maps f (x) = x: then each point has period one and no point has period > 1. This is a pretty boring map. f (x) = 2x(1 x) (draw graph). Then f (0) = 0 and for each x [0, 1/2], f (x) = 2x(1 x) 1/2 and x < f (x). So when x [0, 1] we get x < f (x) < f 2 (x) < < 1/2 and hence f n (x) is a bounded increasing sequence. So it has a limit y. Since f n (x) y we also have that y = f (y). Hence y = 1/2 (check).

Topic A: Examples of interval maps f (x) = 2x(1 x) Similarly for x [1/2, 1], f (x) = 2x(1 x) 2x 1/2 and so then again f n (f (x)) 1/2. In other words, there are no periodic points in [0, 1] except 0, 1/2. f (x) = 4x(1 x) (draw graph). Let us show that this map has a point of period three. Take z 0 [0, 1/2] so that f (z 0 ) = 1/2 (how can you know such a point exists and is unique?). Then take z 1 [0, z 0 ] so that f (z 1 ) = z 0 (how can you know such a point exists and is unique?).

Topic A: Examples of interval maps (continued) So f maps 1 [z 1, z 0 ] continuously onto [z 0, 1/2], monotone increasingly 2 [z 0, 1/2] continuously onto [1/2, 1], monotone increasingly 3 [1/2, 1] continuously onto [1/2, 1], monotone decreasingly So f 3 maps [z 1, z 0 ] continuously onto [0, 1], monotone decreasingly. The next lemma will imply that there exists x [z 1, z 0 ] so that f 3 (x) = x.

Topic A: A lemma Lemma Let J [0, 1] be an interval and g : J [0, 1] continuous and surjective. Then there exists x J so that g(x) = x. Proof: If not, then consider h(x) = g(x) x and we get h 0. By the intermediate value theorem h(x) > 0 or h(x) < 0 for all x J. So g(x) < x for all x J [0, 1] or g(x) > x for all such points. Let s assume we are in the former case. Write J = [a, b]. Since J [0, 1], we have 0 a < b 1. Hence g(x) < x b 1 for all x [a, b]. So there exists no x J so that g(x) = 1. This contradicts that g is supposed to be surjective.

Topic A: Second Task for this week Prove the following lemma, and if you get stuck ask questions next week.

Topic A: Prove the main lemma Lemma Let f : [0, 1] [0, 1] be continuous and J [0, 1] be an interval. 1 Then f (J) is also an interval; 2 If f n (J) J then there exists x J with f n (x) = x; 3 If J 0, J 1 [0, 1] are intervals and f (J 0 ) J 1 then there exists an interval J J 0 so that f (J) = J 1 ; 4 Let J 0, J 1,..., J m be intervals in [0, 1] so that f (J i ) J i+1 for i = 0,..., m 1. Then there exists an interval J J 0 so that f i (J) J i for i = 0, 1,..., m 1 and f m (J) = J m. The proof of this lemma relies on the Intermediate Value Theorem: if g : [0, 1] R is continuous and g(0)g(1) < 0 then there exists x (0, 1) with g(x) = 0. Your project could include a detailed proof of the above lemma.

Topic A: Final Task for this week Look through the first page of the proof of Sarkovskii s theorem, and ask questions about it if you do not follow the proof. We will discuss this more in detail next week.

Project B: Computing Julia sets Take a polynomial f : C C, say f (z) = z 2 + c. So you take a complex number z C, compute z z and then add c. Then repeat this again and again. This week you will take the Julia set J(f ) of f (z) = z 2 + c when c 0 to be defined in the following way: J(f ) = B( ) = {z; f n (z) as n }. Next week you then will also consider another method and begin to understand the Julia set and the Mandelbrot set even better.

Project B: Computing Julia sets Let s try to compute/draw the Julia set J(f ) = B( ) = {z; f n (z) as n }. Take R = max( c, 3). Then for each z C with z > R, f (z) = z 2 + c z z c R z c 2 z, because R 2 1 and z R c. Hence when c 10 and z > 10 then f n (z) and B( ) {z; z 10} To draw points which points are not in B( ), take c < 10, pick some integer, say 30, and compute for each z C with z < 10 (or rather each pixel point) the minimal value n = n(z) 30 so that f n (z) 10 and plot this point z on the computer screen with a colour which depend on n(z).

c = 0.36 + i*0.1; x = -2:0.02:2; y = -2:0.02:2; [x0, y0] = meshgrid(x,y); n = zeros(size(x0)); for k = 1:length(y), for m = 1:length(x), z = x0(k,m) + i*y0(k,m); for itr = 1:30, z = z.^2 + c; if abs(z) > 10, n(k,m) = itr; break, end, end, end, end, plotcolour(x0,y0,n); pixgrid(size(x0));

Project B: Computing Julia sets What do you need to do this week: Get this code to work on matlab and do some experiments (see lecture) Understand why the regions with the same colour split in several areas if f (0) = c 10. Hint: consider the set U := {z; z 2 + c 10} = {z; z 2 B( c; 10)} where B( c; 10) is the ball with radius 10 and centre c = f (0). If B( c; 10) does not contain 0 then this U consists of two pieces. Now consider this argument when f 2 (0) = f (c) 10.

Project C: Some theorems s on polynomials acting on the complex plane This week you are going to analyse the following theorem. Theorem A polynomial f : C C of deg > 1 has many periodic points.

Project C: Some examples: f (z) = z 2 Take f (z) = z 2. By the theorem, this is supposed to have infinitely many periodic points. Where are they? If z > 1 then f (z) = z 2 > 1 and more generally f n (z) = z 2n and so f n (z) as n. If z < 1 then f (z) = z 2 < 1 and more generally f n (z) = z 2n and so f n (z) as n. So periodic points have to be on the unit circle {z; z = 1} (or equal to the fixed point 0). If z = 1 then z = e iφ with φ [0, 2π). Hence f (z) = e 2iφ and f n (z) = e 2n iφ. So z = f n (z) is equivalent to φ = 2 n iφmod2π. That is, (2 n 1)φ 0mod2π.

Project C: Some examples: f (z) = z 2 So z = f n (z) is equivalent to (2 n 1)φ 0mod2π when z = e iφ. n = 1 then φ = 0. n = 2 then φ = 0, π/3, 2π/3. Which are the periodic points of period two? n = 3 then φ = 0, π/7, 2π/7, 3π/7, 4π/7, 5π/7, 6π/7. Which are the periodic points of period three? What are the orbits 0 0 π/7 2π/7 4π/7 π/7 and 3π/7 6π/7 5π/7 3π/7.

Project C: Some examples: f (z) = z 2 2 How many periodic points does the map f (z) = z 2 2 have? Note that f maps [ 2, 2] onto [ 2, 2]. So we can apply Sharkovskii s theorem. From what we did in the beginning of this session, f has a periodic point of period three. So there are infinitely many periodic points in [ 2, 2]. In fact, the Julia set of this map is equal [ 2, 2]. So when z [ 2, 2] then it is not the case that f n (z). It follows that [ 2, 2] J(f ). Let us now show that J(f ) = [ 2, 2].

Project C: Some examples: f (z) = z 2 2 Proof that J(f ) [ 2, 2]. To prove this, we shall use the result (we discussed last time): Theorem Take p so that #f 2 (p) 3. Then for each δ > 0 there exists n so that for each point w J(f ) = B( ) there exists z f n (p) with z w < δ. Note that f (z) [ 2, 2] then z [ 2, 2]. In other words, if z [ 2, 2] then f 1 (z) [ 2, 2]. Repeating this gives f n (z) [ 2, 2]. Moreover, #f 2 (0) 3 (see graph). By the above theorem, for each δ > 0 there exists n so that the Julia set J(f ) lies δ close to the set f n (0) [ 2, 2]. So J(f ) [ 2, 2].

Project C: Final task for this week Read and understand the proof of the following Theorem A polynomial f : C C of deg > 1 has many periodic points.