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Graphs and Patterns in Mathematics and Theoretical Physics, Volume 73
http://dx.doi.org/10.1090/pspum/073 Graphs and Patterns in Mathematics and Theoretical Physics This page intentionally left blank Proceedings of Symposia in PURE MATHEMATICS Volume 73 Graphs and Patterns in Mathematics and Theoretical Physics Proceedings of the Conference on Graphs and Patterns in Mathematics and Theoretical Physics Dedicated to Dennis Sullivan's 60th birthday June 14-21, 2001 Stony Brook University, Stony Brook, New York Mikhail Lyubich Leon Takhtajan Editors Proceedings of the conference on Graphs and Patterns in Mathematics and Theoretical Physics held at Stony Brook University, Stony Brook, New York, June 14-21, 2001. 2000 Mathematics Subject Classification. Primary 81Txx, 57-XX 18-XX 53Dxx 55-XX 37-XX 17Bxx. Library of Congress Cataloging-in-Publication Data Stony Brook Conference on Graphs and Patterns in Mathematics and Theoretical Physics (2001 : Stony Brook University) Graphs and Patterns in mathematics and theoretical physics : proceedings of the Stony Brook Conference on Graphs and Patterns in Mathematics and Theoretical Physics, June 14-21, 2001, Stony Brook University, Stony Brook, NY / Mikhail Lyubich, Leon Takhtajan, editors. p. cm. — (Proceedings of symposia in pure mathematics ; v. 73) Includes bibliographical references. ISBN 0-8218-3666-8 (alk. paper) 1. Graph Theory. 2. Mathematics-Graphic methods. 3. Physics-Graphic methods. 4. Man• ifolds (Mathematics). I. Lyubich, Mikhail, 1959- II. Takhtadzhyan, L. A. (Leon Armenovich) III. Title. IV. Series. QA166.S79 2001 511/.5-dc22 2004062363 Copying and reprinting. Material in this book may be reproduced by any means for edu• cational and scientific purposes without fee or permission with the exception of reproduction by services that collect fees for delivery of documents and provided that the customary acknowledg• ment of the source is given. -
The Generalized Recurrent Set, Explosions and Lyapunov Functions
The generalized recurrent set, explosions and Lyapunov functions OLGA BERNARDI 1 ANNA FLORIO 2 JIM WISEMAN 3 1 Dipartimento di Matematica “Tullio Levi-Civita”, Università di Padova, Italy 2 Laboratoire de Mathématiques d’Avignon, Avignon Université, France 3 Department of Mathematics, Agnes Scott College, Decatur, Georgia, USA Abstract We consider explosions in the generalized recurrent set for homeomorphisms on a compact metric space. We provide multiple examples to show that such explosions can occur, in contrast to the case for the chain recurrent set. We give sufficient conditions to avoid explosions and discuss their necessity. Moreover, we explain the relations between explosions and cycles for the generalized re- current set. In particular, for a compact topological manifold with dimension greater or equal 2, we characterize explosion phenomena in terms of existence of cycles. We apply our results to give sufficient conditions for stability, under C 0 perturbations, of the property of admitting a continuous Lyapunov function which is not a first integral. 1 Introduction Generalized recurrence was originally introduced for flows by Auslander in the Sixties [3] by using con- tinuous Lyapunov functions. Auslander defined the generalized recurrent set to be the union of those orbits along which all continuous Lyapunov functions are constant. In the same paper, he gave a char- acterization of this set in terms of the theory of prolongations. The generalized recurrent set was later extended to maps by Akin and Auslander (see [1] and [2]). More recently Fathi and Pageault [7] proved that, for a homeomorphism, the generalized recurrent set can be equivalently defined by using Easton’s strong chain recurrence [6]. -
Hopf Decomposition and Horospheric Limit Sets
The Erwin Schr¨odinger International Boltzmanngasse 9 ESI Institute for Mathematical Physics A-1090 Wien, Austria Hopf Decomposition and Horospheric Limit Sets Vadim A. Kaimanovich Vienna, Preprint ESI 2017 (2008) March 31, 2008 Supported by the Austrian Federal Ministry of Education, Science and Culture Available via http://www.esi.ac.at HOPF DECOMPOSITION AND HOROSPHERIC LIMIT SETS VADIM A. KAIMANOVICH Abstract. By looking at the relationship between the recurrence properties of a count- able group action with a quasi-invariant measure and the structure of its ergodic compo- nents we establish a simple general description of the Hopf decomposition of the action into the conservative and the dissipative parts in terms of the Radon–Nikodym deriva- tives of the action. As an application we prove that the conservative part of the boundary action of a discrete group of isometries of a Gromov hyperbolic space with respect to any invariant quasi-conformal stream coincides (mod 0) with the big horospheric limit set of the group. Conservativity and dissipativity are, alongside with ergodicity, the most basic notions of the ergodic theory and go back to its mechanical and thermodynamical origins. The famous Poincar´erecurrence theorem states that any invertible transformation T preserv- ing a probability measure m on a state space X is conservative in the sense that any positive measure subset A ⊂ X is recurrent, i.e., for a.e. starting point x ∈ A the trajec- tory {T nx} eventually returns to A. These definitions obviously extend to an arbitrary measure class preserving action G (X,m) of a general countable group G on a prob- ability space (X,m). -
ABSTRACT Chaos in Dendritic and Circular Julia Sets Nathan Averbeck, Ph.D. Advisor: Brian Raines, D.Phil. We Demonstrate The
ABSTRACT Chaos in Dendritic and Circular Julia Sets Nathan Averbeck, Ph.D. Advisor: Brian Raines, D.Phil. We demonstrate the existence of various forms of chaos (including transitive distributional chaos, !-chaos, topological chaos, and exact Devaney chaos) on two families of abstract Julia sets: the dendritic Julia sets Dτ and the \circular" Julia sets Eτ , whose symbolic encoding was introduced by Stewart Baldwin. In particular, suppose one of the two following conditions hold: either fc has a Julia set which is a dendrite, or (provided that the kneading sequence of c is Γ-acceptable) that fc has an attracting or parabolic periodic point. Then, by way of a conjugacy which allows us to represent these Julia sets symbolically, we prove that fc exhibits various forms of chaos. Chaos in Dendritic and Circular Julia Sets by Nathan Averbeck, B.S., M.A. A Dissertation Approved by the Department of Mathematics Lance L. Littlejohn, Ph.D., Chairperson Submitted to the Graduate Faculty of Baylor University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Approved by the Dissertation Committee Brian Raines, D.Phil., Chairperson Will Brian, D.Phil. Markus Hunziker, Ph.D. Alexander Pruss, Ph.D. David Ryden, Ph.D. Accepted by the Graduate School August 2016 J. Larry Lyon, Ph.D., Dean Page bearing signatures is kept on file in the Graduate School. Copyright c 2016 by Nathan Averbeck All rights reserved TABLE OF CONTENTS LIST OF FIGURES vi ACKNOWLEDGMENTS vii DEDICATION viii 1 Preliminaries 1 1.1 Continuum Theory and Dynamical Systems . 1 1.2 Unimodal Maps . -
Measuring Complexity in Cantor Dynamics
Measuring Complexity in Cantor Dynamics Karl Petersen cantorsalta2015: Dynamics on Cantor Sets CIMPA Research School, 2-13 November 2015 December 11, 2017 1 Contents Contents 2 1 Introduction 5 1.1 Preface . 5 1.2 Complexity and entropy . 5 1.3 Some definitions and notation . 5 1.4 Realizations of systems . 7 2 Asymptotic exponential growth rate 9 2.1 Topological entropy . 9 2.2 Ergodic-theoretic entropy . 9 2.3 Measure-theoretic sequence entropy . 13 2.4 Topological sequence entropy . 13 2.5 Slow entropy . 14 2.6 Entropy dimension . 17 2.7 Permutation entropy . 18 2.8 Independence entropy . 19 2.9 Sofic, Rokhlin, na¨ıve entropies . 20 2.10 Kolmogorov complexity . 23 3 Counting patterns 25 3.1 The complexity function in one-dimensional symbolic dynamics . 25 3.2 Sturmian sequences . 26 3.3 Episturmian sequences . 28 3.4 The Morse sequence . 29 3.5 In higher dimensions, tilings, groups, etc. 29 3.6 Topological complexity . 31 3.7 Low complexity, the number of ergodic measures, automorphisms . 31 3.8 Palindrome complexity . 33 3.9 Nonrepetitive complexity and Eulerian entropy . 35 3.10 Mean topological dimension . 36 3.11 Amorphic complexity via asymptotic separation numbers . 37 3.12 Inconstancy . 38 3.13 Measure-theoretic complexity . 38 3.14 Pattern complexity . 39 4 Balancing freedom and interdependence 41 4.1 Neurological intricacy . 41 4.2 Topological intricacy and average sample complexity . 43 4.3 Ergodic-theoretic intricacy and average sample complexity . 46 4.4 The average sample complexity function . 46 4.5 Computing measure-theoretic average sample complexity . -
ONE HUNDRED YEARS of COMPLEX DYNAMICS the Subject of Complex Dynamics, That Is, the Behaviour of Orbits of Holomorphic Functions
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Liverpool Repository ONE HUNDRED YEARS OF COMPLEX DYNAMICS MARY REES The subject of Complex Dynamics, that is, the behaviour of orbits of holomorphic functions, emerged in the papers produced, independently, by Fatou and Julia, almost 100 years ago. Although the subject of Dynami- cal Systems did not then have a name, the dynamical properties found for holomorphic systems, even in these early researches, were so striking, so unusually comprehensive, and yet so varied, that these systems still attract widespread fascination, 100 years later. The first distinctive feature of iter- ation of a single holomorphic map f is the partition of either the complex plane or the Riemann sphere into two sets which are totally invariant under f: the Julia set | closed, nonempty, perfect, with dynamics which might loosely be called chaotic | and its complement | open, possibly empty, but, if non-empty, then with dynamics which were completely classified by the two pioneering researchers, modulo a few simply stated open questions. Before the subject re-emerged into prominence in the 1980's, the Julia set was alternately called the Fatou set, but Paul Blanchard introduced the idea of calling its complement the Fatou set, and this was immediately universally accepted. Probably the main reason for the remarkable rise in interest in complex dynamics, about thirty-five years ago, was the parallel with the subject of Kleinian groups, and hence with the whole subject of hyperbolic geome- try. A Kleinian group acting on the Riemann sphere is a dynamical system, with the sphere splitting into two disjoint invariant subsets, with the limit set and its complement, the domain of discontinuity, having exactly similar properties to the Julia and Fatou sets. -
Dimensions for Recurrence Times : Topological and Dynamical Properties
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS Volume 5, Number 4, October 1998 pp. 783{798 DIMENSIONS FOR RECURRENCE TIMES : TOPOLOGICAL AND DYNAMICAL PROPERTIES. VINCENT PENNE¶, BENO^IT SAUSSOL, SANDRO VAIENTI Centre de Physique Th¶eorique, CNRS Luminy, Case 907, F-13288 Marseille - Cedex 9, FRANCE, and PhyMat - D¶epartement de math¶ematique, Universit¶ede Toulon et du Var, 83957 La Garde, FRANCE. Abstract. In this paper we give new properties of the dimension introduced by Afraimovich to characterize Poincar¶erecurrence and which we proposed to call Afraimovich-Pesin's (AP's) dimension. We will show in particular that AP's dimension is a topological invariant and that it often coincides with the asymptotic distribution of periodic points : deviations from this behavior could suggest that the AP's dimension is sensitive to some \non-typical" points. Introduction. The Carath¶eodory construction (see [15] for a complete presenta- tion and historical accounts), has revealed to be a powerful unifying approach for the understanding of thermodynamical formalism and fractal properties of dynam- ically de¯ned sets. A new application of this method has recently been proposed by Afraimovich [1] to characterize Poincar¶erecurrence : it basically consists in the construction of an Hausdor®-like outer measure (with the related transition point, or dimension), but with a few important di®erences. The classical Hausdor® mea- sure (see for instance [8]) is constructed by covering a given set A with arbitrary subsets and by taking the diameter of these subsets at a power ® to build up the Carath¶eodory sum. In Afraimovich's setting, the diameter is replaced with a de- creasing function (gauge function) of the smallest ¯rst return time of the points of each set of the covering into the set itself. -
Chapter 4 Global Behavior: Simple Examples
Chapter 4 Global Behavior: simple examples Different local behaviors have been analyzed in the previous chapter. Unfortunately, such analysis is insufficient if one wants to understand the global behavior of a Dynamical System. To make precise what we mean by global behavior we need some definitions. Definition 4.0.2 Given a Dynamical System (X; φt), t 2 N or R+, a −1 set A ⊂ X is called invariant if, for all t, ; 6= φt (A) ⊂ A. Essentially, the global understanding of a system entails a detailed knowledge of its invariant set and of the dynamics in a neighborhood of such sets. This is in general very hard to achieve, essentially the rest of this book devoted to the study of some special cases. Remark 4.0.3 We start with some simple considerations in the case of continuous Dynamical Systems (this is part of a general theory called Topological Dynamical Systems1) and then we will address more subtle phenomena that depend on the smoothness of the systems. 4.1 Long time behavior and invariant sets First of all let us note that if we are interested in the long time behavior of a system and we look at it locally (i.e. in the neighborhood of a point) then three cases are possible: either the motion leaves the neighborhood 1 Recall that a Topological Dynamical Systems is a couple (X; φt) where X is a topological space and φt is a continuous action of R (or R+; N; Z) on X. 71 72 CHAPTER 4. GLOBAL BEHAVIOR: SIMPLE EXAMPLES and never returns, or leaves the neighborhood but eventually it comes back or never leaves. -
Distinguishability Notion Based on Wootters Statistical Distance: Application to Discrete Maps
Distinguishability notion based on Wootters statistical distance: application to discrete maps Ignacio S. Gomez,1, ∗ M. Portesi,1, y and P. W. Lamberti2, z 1IFLP, UNLP, CONICET, Facultad de Ciencias Exactas, Calle 115 y 49, 1900 La Plata, Argentina 2Facultad de Matem´atica, Astronom´ıa y F´ısica (FaMAF), Universidad Nacional de C´ordoba, Avenida Medina Allende S/N, Ciudad Universitatia, X5000HUA, C´ordoba, Argentina (Dated: August 10, 2018) We study the distinguishability notion given by Wootters for states represented by probability density functions. This presents the particularity that it can also be used for defining a distance in chaotic unidimensional maps. Based on that definition, we provide a metric d for an arbitrary discrete map. Moreover, from d we associate a metric space to each invariant density of a given map, which results to be the set of all distinguished points when the number of iterations of the map tends to infinity. Also, we give a characterization of the wandering set of a map in terms of the metric d which allows to identify the dissipative regions in the phase space. We illustrate the results in the case of the logistic and the circle maps numerically and theoretically, and we obtain d and the wandering set for some characteristic values of their parameters. PACS numbers: 05.45.Ac, 02.50.Cw, 0.250.-r, 05.90.+m Keywords: discrete maps { invariant density { metric erarchy [11], with quantum extensions [12{16] that allow space { wandering set to characterize aspects of quantum chaos [17]. The rele- vance of discrete maps lies in the fact that they serve as simple but useful models in biology, physics, economics, I. -
NBHM Library Department of Mathematics
NBHM Library Department of Mathematics Accession No. Title Author 1 Euclid - The Creation of Mathematics Artmann B. 2 Fourier Analysis on Number fields (GTM-186) Ramkrishnan D. et al. 3 Topologies and Uniformities James I.M. 4 Topics in Topology (LNM-1652) Todorcevic S.H. 5 Encyclopedia of Math. Sci.-Vol 21 : Lie Groups and Onishchik A.L. et al. Lie Algebras Vol-II 6 A First Course in Discrete Dynamical System Holmgren R. 7 An Introduction to Programming with Mathematica Gaylord R. et al. 8 Introduction to Maple Heck A. 9 Chaos in Discrete Dynamical Systems Abraham R. et al. 10 Berkeley Problems in Mathematics DeSouza P.N. et al. 11 An invitation to C* Algebras Arveson W. 12 The Uncertainity Principle in Harmonic Analysis Havin V. et al. 13 Abstract Harmonic Analysis Vol- II Hewitt E. et al. 14 Encyclopedia of Math. Sci.-Vol 59 : Representation Theory and Noncommutative Harmonic Analysis Vol- Kirillov A.(Ed.) II 15 Encyclopedia of Math. Sci.-Vol 25: Commutative Havin V. et al.(Ed.) Harmonic Analysis Vol - II 16 Metric Spaces of non-positive curvature Bridson P.M. et al. 17 Dynamical Systems Robinson C. 18 Harmonic Analysis and Applications Benedetto J. 19 Gravitation & Cosmology Weinberg S. 20 Algebra Vol-I (Groups) Luthar I. et al. 21 Algebra Vol-II( Rings) Luthar I. et al. 22 Rings and Modules Musili C. 23 Introduction to Measure and Integration Rana I.K. 24 Lie Groups and Ergodic Theory Dani S.G. 25 Dynamics of one dimensional Maps Sharkovsky H. 26 Categorical Topology Giuli E. 27 Inverse Spectra Chigogidze A. -
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics Rodrigo Cofré ∗1, Cesar Maldonado †2, and Bruno Cessac ‡3 1CIMFAV-Ingemat, Facultad de Ingeniería, Universidad de Valparaíso, Valparaíso, Chile. 2IPICYT/División de Matemáticas Aplicadas, San Luis Potosí, Mexico 3Université Côte d’Azur, Inria, France, Inria Biovision team and Neuromod Institute November 20, 2020 Abstract The Thermodynamic Formalism provides a rigorous mathematical framework to study quantitative and qualitative aspects of dynamical systems. At its core there is a variational principle corresponding, in its simplest form, to the Maximum Entropy principle. It is used as a statistical inference procedure to represent, by specific prob- ability measures (Gibbs measures), the collective behaviour of complex systems. This framework has found applications in different domains of science.In particular, it has been fruitful and influential in neurosciences. In this article, we review how the Thermodynamic Formalism can be exploited in the field of theoretical neuroscience, as a conceptual and operational tool, to link the dynamics of interacting neurons and the statistics of action potentials from either experimental data or mathematical mod- els. We comment on perspectives and open problems in theoretical neuroscience that could be addressed within this formalism. Keywords. thermodynamic formalism; neuronal networks dynamics; maximum en- tropy principle; free energy and pressure; linear response; large deviations, ergodic theory. arXiv:2011.09512v1 [q-bio.NC] 18 Nov 2020 1 Introduction Initiated by Boltzmann [1, 2], the goal of statistical physics was to establish a link between the microscopic mechanical description of interacting particles in a gas or a fluid, and the macroscopic description provided by thermodynamics [3, 4]. -
Maximal Entropy Measures for Certain Partially Hyperbolic, Derived from Anosov Systems
MAXIMAL ENTROPY MEASURES FOR CERTAIN PARTIALLY HYPERBOLIC, DERIVED FROM ANOSOV SYSTEMS J. BUZZI, T. FISHER, M. SAMBARINO, C. VASQUEZ´ Abstract. We show that a class of robustly transitive diffeomor- phisms originally described by Ma˜n´eare intrinsically ergodic. More precisely, we obtain an open set of diffeomorphisms which fail to be uniformly hyperbolic and structurally stable, but nevertheless have the following stability with respect to their entropy. Their topological entropy is constant and they each have a unique measure of maximal entropy with respect to which peri- odic orbits are equidistributed. Moreover, equipped with their re- spective measure of maximal entropy, these diffeomorphisms are pairwise isomorphic. We show that the method applies to several classes of systems which are similarly derived from Anosov, i.e., produced by an iso- topy from an Anosov system, namely, a mixed Ma˜n´eexample and one obtained through a Hopf bifurcation. 1. Introduction Let f be a diffeomorphism of a manifold M to itself. The diffeomor- phism f is transitive if there exists a point x ∈ M where + n Of (x)= {f (x)|n ∈ N} is dense in M. It is robustly transitive [4, Ch. 7] if there exists a neighborhood U of f in the space Diff1(M) of C1 diffeomorphisms such that each g in U is transitive. Since robust transitivity is an open condition, it is an important component of the global picture of dynamical systems [23]. Date: July 17, 2009. 2000 Mathematics Subject Classification. 37C40, 37A35, 37C15. Key words and phrases. Measures of maximal entropy, topological entropy, ro- bust ergodicity, ergodic theory, partial hyperbolicity, intrinsic ergodicity.