Mathematical Problems of Nonlinear Dynamics: a Tutorial
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Chapter 2 Structural Stability
Chapter 2 Structural stability 2.1 Denitions and one-dimensional examples A very important notion, both from a theoretical point of view and for applications, is that of stability: the qualitative behavior should not change under small perturbations. Denition 2.1.1: A Cr map f is Cm structurally stable (with 1 m r ∞) if there exists a neighbour- hood U of f in the Cm topology such that every g ∈ U is topologically conjugated to f. Remark 2.1.1. The reason that for structural stability we just ask the existence of a topological conju- gacy with close maps is because we are interested only in the qualitative properties of the dynamics. For 1 1 R instance, the maps f(x)= 2xand g(x)= 3xhave the same qualitative dynamics over (and indeed are topologically conjugated; see below) but they cannot be C1-conjugated. Indeed, assume there is a C1- dieomorphism h: R → R such that h g = f h. Then we must have h(0) = 0 (because the origin is the unique xed point of both f and g) and 1 1 h0(0) = h0 g(0) g0(0)=(hg)0(0)=(fh)0(0) = f 0 h(0) h0(0) = h0(0); 3 2 but this implies h0(0) = 0, which is impossible. Let us begin with examples of non-structurally stable maps. 2 Example 2.1.1. For ε ∈ R let Fε: R → R given by Fε(x)=xx +ε. We have kFε F0kr = |ε| for r all r 0, and hence Fε → F0 in the C topology. -
Fine Structure of Hyperbolic Diffeomorphisms, by A. A. Pinto, D
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 48, Number 1, January 2011, Pages 131–136 S 0273-0979(2010)01284-2 Article electronically published on May 24, 2010 Fine structure of hyperbolic diffeomorphisms,byA.A.Pinto,D.Rand,andF.Fer- reira, Springer Monographs in Mathematics, Springer-Verlag, Berlin, Heidelberg, 2009, xvi+354 pp., ISBN 978-3-540-87524-6, hardcover, US$129.00 The main theme of the book Fine Structures of Hyperbolic Diffeomorphisms,by Pinto, Rand and Ferreira, is the rigidity and flexibility of two-dimensional diffeo- morphisms on hyperbolic basic sets and properties of invariant measures that are related to the geometry of these invariant sets. In his remarkable article [23], Smale sets the foundations of the modern theory of dynamical systems. He defines the fundamental notion of hyperbolicity and relates it to structural stability. Let f be a smooth (at least C1) diffeomorphism of a compact manifold M. A hyperbolic set for f is a closed f-invariant subset Λ ⊂ M such that the tangent bundle of the manifold over Λ splits as a direct sum of two subbundles that are invariant under the derivative, and the derivative of the iterates of the map expands exponentially one of the bundles (the unstable bundle) and contracts exponentially the stable subbundle. These bundles are in general only continuous, but they are integrable. Through each point x ∈ Λ, there exists a one-to-one immersed submanifold W s(x), the stable manifold of x.This submanifold is tangent to the stable bundle at each point of intersection with Λ and is characterized by the fact that the orbit of each point y ∈ W s(x)isasymptotic to the orbit of x, and, in fact, the distance between f n(y)tof n(x)converges to zero exponentially fast. -
The Theory of Filtrations of Subalgebras, Standardness and Independence
The theory of filtrations of subalgebras, standardness and independence Anatoly M. Vershik∗ 24.01.2017 In memory of my friend Kolya K. (1933{2014) \Independence is the best quality, the best word in all languages." J. Brodsky. From a personal letter. Abstract The survey is devoted to the combinatorial and metric theory of fil- trations, i. e., decreasing sequences of σ-algebras in measure spaces or decreasing sequences of subalgebras of certain algebras. One of the key notions, that of standardness, plays the role of a generalization of the no- tion of the independence of a sequence of random variables. We discuss the possibility of obtaining a classification of filtrations, their invariants, and various links to problems in algebra, dynamics, and combinatorics. Bibliography: 101 titles. Contents 1 Introduction 3 1.1 A simple example and a difficult question . .3 1.2 Three languages of measure theory . .5 1.3 Where do filtrations appear? . .6 1.4 Finite and infinite in classification problems; standardness as a generalization of independence . .9 arXiv:1705.06619v1 [math.DS] 18 May 2017 1.5 A summary of the paper . 12 2 The definition of filtrations in measure spaces 13 2.1 Measure theory: a Lebesgue space, basic facts . 13 2.2 Measurable partitions, filtrations . 14 2.3 Classification of measurable partitions . 16 ∗St. Petersburg Department of Steklov Mathematical Institute; St. Petersburg State Uni- versity Institute for Information Transmission Problems. E-mail: [email protected]. Par- tially supported by the Russian Science Foundation (grant No. 14-11-00581). 1 2.4 Classification of finite filtrations . 17 2.5 Filtrations we consider and how one can define them . -
The Entropy Function for Non Polynomial Problems and Its Applications for Turing Machines
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 30 January 2020 doi:10.20944/preprints202001.0360.v1 The entropy function for non polynomial problems and its applications for turing machines. Matheus Santana Harvard Extension School [email protected] Abstract We present a general process for the halting problem, valid regardless of the time and space computational complexity of the decision problem. It can be interpreted as the maximization of entropy for the utility function of a given Shannon-Kolmogorov-Bernoulli process. Applications to non-polynomials prob- lems are given. The new interpretation of information rate proposed in this work is a method that models the solution space boundaries of any decision problem (and non polynomial problems in general) as a communication channel by means of Information Theory. We described a sort method that order objects using the intrinsic information content distribution for the elements of a constrained solution space - modeled as messages transmitted through any communication systems. The limits of the search space are defined by the Kolmogorov-Chaitin complexity of the sequences encoded as Shannon-Bernoulli strings. We conclude with a discussion about the implications for general decision problems in Turing machines. Keywords: Computational Complexity, Information Theory, Machine Learning, Computational Statistics, Kolmogorov-Chaitin Complexity; Kelly criterion 1. Introduction Consider a Shanon-Bernoulli process P defined as a sequence of independent binary random variables X1, X2, X3 . Xn. For each element the value can be Preprint submitted to Journal of Information and Computation January 29, 2020 © 2020 by the author(s). Distributed under a Creative Commons CC BY license. -
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 -
A Structural Approach to Solving the 6Th Hilbert Problem Udc 519.21
Teor Imovr.taMatem.Statist. Theor. Probability and Math. Statist. Vip. 71, 2004 No. 71, 2005, Pages 165–179 S 0094-9000(05)00656-3 Article electronically published on December 30, 2005 A STRUCTURAL APPROACH TO SOLVING THE 6TH HILBERT PROBLEM UDC 519.21 YU. I. PETUNIN AND D. A. KLYUSHIN Abstract. The paper deals with an approach to solving the 6th Hilbert problem based on interpreting the field of random events as a partially ordered set endowed with a natural order of random events obtained by formalization and modification of the frequency definition of probability. It is shown that the field of events forms an atomic generated, complete, and completely distributive Boolean algebra. The probability distribution of the field of events generated by random variables is studied. It is proved that the probability distribution generated by random variables is not a measure but only a finitely additive function of events in the case of continuous random variables (both rational- and real-valued). Introduction In 1900 in his lecture [1] David Hilbert formulated the problem of axiomatization of probability theory. Here is the corresponding quote from his lecture: “The investigations on the foundations of geometry suggest the problem: To treat in the same manner, by means of axioms, those physical sciences in which mathematics plays an important part; in the first rank are the theory of probabilities and mechanics. As to the axioms of the theory of probabilities, it seems to me desirable that their logical investigation should be accompanied by a rigorous and satisfactory development of the method of mean values in mathematical physics, and in particular in the kinetic theory of gases.” As is well known [2], there is no generally accepted solution of this problem so far. -
Nonlocally Maximal Hyperbolic Sets for Flows
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2015-06-01 Nonlocally Maximal Hyperbolic Sets for Flows Taylor Michael Petty Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Mathematics Commons BYU ScholarsArchive Citation Petty, Taylor Michael, "Nonlocally Maximal Hyperbolic Sets for Flows" (2015). Theses and Dissertations. 5558. https://scholarsarchive.byu.edu/etd/5558 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Nonlocally Maximal Hyperbolic Sets for Flows Taylor Michael Petty A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Todd Fisher, Chair Lennard F. Bakker Christopher P. Grant Department of Mathematics Brigham Young University June 2015 Copyright c 2015 Taylor Michael Petty All Rights Reserved abstract Nonlocally Maximal Hyperbolic Sets for Flows Taylor Michael Petty Department of Mathematics, BYU Master of Science In 2004, Fisher constructed a map on a 2-disc that admitted a hyperbolic set not contained in any locally maximal hyperbolic set. Furthermore, it was shown that this was an open property, and that it was embeddable into any smooth manifold of dimension greater than one. In the present work we show that analogous results hold for flows. Specifically, on any smooth manifold with dimension greater than or equal to three there exists an open set of flows such that each flow in the open set contains a hyperbolic set that is not contained in a locally maximal one. -
The Ergodic Theorem
The Ergodic Theorem 1 Introduction Ergodic theory is a branch of mathematics which uses measure theory to study the long term be- haviour of dynamic systems. The central object of consideration is known as a measure-preserving system, a type of dynamic system where the evolution of the system preserves a measure. Definition 1: Let (X; M; µ) be a finite measure space and let T map X to itself. We say that T is a measure-preserving transformation if for every A 2 M, we have µ(A) = µ(T −1(A)). The quadruple (X; M; µ, T ) is called a measure-preserving system (m.p.s.). Measure-preserving systems arise in a variety of contexts, such as probability theory, informa- tion theory, and of course in the study of dynamical systems. However, ergodic theory originated from statistical mechanics. In this setting, T represents the evolution of the system through time. Given a measurable function f : X ! R, the series of values f(x); f(T x); f(T 2x)::: are the values of a physical observable at certain time intervals. Of importance in statistical mechanics is the long-term average of these observables: N−1 1 X f (x) = f(T kx) N N k=0 The Ergodic Theorem (also known as the Pointwise or Birkhoff Ergodic Theorem) is central to the study of averages such as fN in the limit as N ! 1. In this paper we aim to prove the theorem, and then discuss a few of its applications. Before we can state the theorem, we need another definition. -
Centralizers of Anosov Diffeomorphisms on Tori
ANNALES SCIENTIFIQUES DE L’É.N.S. J. PALIS J.-C. YOCCOZ Centralizers of Anosov diffeomorphisms on tori Annales scientifiques de l’É.N.S. 4e série, tome 22, no 1 (1989), p. 99-108 <http://www.numdam.org/item?id=ASENS_1989_4_22_1_99_0> © Gauthier-Villars (Éditions scientifiques et médicales Elsevier), 1989, tous droits réservés. L’accès aux archives de la revue « Annales scientifiques de l’É.N.S. » (http://www. elsevier.com/locate/ansens) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systé- matique est constitutive d’une infraction pénale. Toute copie ou impression de ce fi- chier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ Ann. scient. EC. Norm. Sup., 46 serie, t. 22, 1989, p. 99 a 108. CENTRALIZERS OF ANOSOV DIFFEOMORPHISMS ON TORI BY J. PALIS AND J. C. YOCCOZ ABSTRACT. — We prove here that the elements of an open and dense subset of Anosov diffeomorphisms on tori have trivial centralizers: they only commute with their own powers. 1. Introduction Let M be a smooth connected compact manifold, and Diff(M) the group of C°° diffeomorphisms of M endowed with the C°° topology. The diffeomorphisms which satisfy Axiom A and the (strong) transversality condition—every stable manifold intersects transversely every unstable manifold—form an open subset 91 (M) of Diff(M) and are, by Robbin [4] and a recent result of Mane [2], exactly the C1-structurally stable diffeomorphisms. We continue here the study, initiated in [3], of centralizers of diffeomorphisms in ^(M); the concepts we just mentioned are detailed there. -
Structural Stability of Piecewise Smooth Systems
STRUCTURAL STABILITY OF PIECEWISE SMOOTH SYSTEMS MIREILLE E. BROUCKE, CHARLES C. PUGH, AND SLOBODAN N. SIMIC´ † Abstract A.F. Filippov has developed a theory of dynamical systems that are governed by piecewise smooth vector fields [2]. It is mainly a local theory. In this article we concentrate on some of its global and generic aspects. We establish a generic structural stability theorem for Filip- pov systems on surfaces, which is a natural generalization of Mauricio Peixoto’s classic result [12]. We show that the generic Filippov system can be obtained from a smooth system by a process called pinching. Lastly, we give examples. Our work has precursors in an announcement by V.S. Kozlova [6] about structural stability for the case of planar Fil- ippov systems, and also the papers of Jorge Sotomayor and Jaume Llibre [8] and Marco Antonio Teixiera [17], [18]. Partially supported by NASA grant NAG-2-1039 and EPRI grant EPRI-35352- 6089.† STRUCTURAL STABILITY OF PIECEWISE SMOOTH SYSTEMS 1 1. Introduction Imagine two independently defined smooth vector fields on the 2- sphere, say X+ and X−. While a point p is in the Northern hemisphere let it move under the influence of X+, and while it is in the Southern hemisphere, let it move under the influence of X−. At the equator, make some intelligent decision about the motion of p. See Figure 1. This will give an orbit portrait on the sphere. What can it look like? Figure 1. A piecewise smooth vector field on the 2-sphere. How do perturbations affect it? How does it differ from the standard vector field case in which X+ = X−? These topics will be put in proper context and addressed in Sections 2-7. -
Stability and Explanatory Significance of Some Simple Evolutionary Models
Stability and Explanatory Significance of Some Simple Evolutionary Models Brian Skyrms University of California, Irvine 1. Introduction. The explanatory value of equilibrium depends on the underlying dynamics. First there are questions of dynamical stability of the equilibrium that are internal to the dynamical system in question. Is the equilibrium locally stable, so that states near to it stay near to it, or better, asymptotically stable, so that states near to it are carried to it by the dynamics? If not, we should not expect to see this equilibrium. But even if an equilibrium is asymptotically stable, that is no guarantee that the system will reach that equilibrium unless we know that the system's initial state is sufficiently close to the equilibrium. Global stability of an equilibrium, when we have it, gives the equilibrium a much more powerful explanatory role. An equilibrium is globally asymptotically stable if the dynamics carries every possible initial state in the interior of the state space to that equilibrium. If an equilibrium is globally stable, it can have explanatory value even when we are completely uncertain about the initial state of the system. Once questions of dynamical stability are answered with respect to the dynamical system in question, there is the further question of structural stability of that system itself. That is to say, are dynamical systems close to the one in question (in a sense to be made 1 precise) topologically equivalent to that system? If not, a slight mispecification of the model may make predictions that are drastically wrong. Structural stability is defined in terms of small changes in the model. -
Stability and Bifurcation of Dynamical Systems
STABILITY AND BIFURCATION OF DYNAMICAL SYSTEMS Scope: • To remind basic notions of Dynamical Systems and Stability Theory; • To introduce fundaments of Bifurcation Theory, and establish a link with Stability Theory; • To give an outline of the Center Manifold Method and Normal Form theory. 1 Outline: 1. General definitions 2. Fundaments of Stability Theory 3. Fundaments of Bifurcation Theory 4. Multiple bifurcations from a known path 5. The Center Manifold Method (CMM) 6. The Normal Form Theory (NFT) 2 1. GENERAL DEFINITIONS We give general definitions for a N-dimensional autonomous systems. ••• Equations of motion: x(t )= Fx ( ( t )), x ∈ »N where x are state-variables , { x} the state-space , and F the vector field . ••• Orbits: Let xS (t ) be the solution to equations which satisfies prescribed initial conditions: x S(t )= F ( x S ( t )) 0 xS (0) = x The set of all the values assumed by xS (t ) for t > 0is called an orbit of the dynamical system. Geometrically, an orbit is a curve in the phase-space, originating from x0. The set of all orbits is the phase-portrait or phase-flow . 3 ••• Classifications of orbits: Orbits are classified according to their time-behavior. Equilibrium (or fixed -) point : it is an orbit xS (t ) =: xE independent of time (represented by a point in the phase-space); Periodic orbit : it is an orbit xS (t ) =:xP (t ) such that xP(t+ T ) = x P () t , with T the period (it is a closed curve, called cycle ); Quasi-periodic orbit : it is an orbit xS (t ) =:xQ (t ) such that, given an arbitrary small ε > 0 , there exists a time τ for which xQ(t+τ ) − x Q () t ≤ ε holds for any t; (it is a curve that densely fills a ‘tubular’ space); Non-periodic orbit : orbit xS (t ) with no special properties.