Measuring Complexity in Cantor Dynamics
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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. -
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 . -
ABSTRACT the Specification Property and Chaos In
ABSTRACT The Specification Property and Chaos in Multidimensional Shift Spaces and General Compact Metric Spaces Reeve Hunter, Ph.D. Advisor: Brian E. Raines, D.Phil. Rufus Bowen introduced the specification property for maps on a compact met- ric space. In this dissertation, we consider some implications of the specification d property for Zd-actions on subshifts of ΣZ as well as on a general compact metric space. In particular, we show that if σ : X X is a continuous Zd-action with ! d a weak form of the specification property on a d-dimensional subshift of ΣZ , then σ exhibits both !-chaos, introduced by Li, and uniform distributional chaos, intro- duced by Schweizer and Smítal. The !-chaos result is further generalized for some broader, directional notions of limit sets and general compact metric spaces with uniform expansion at a fixed point. The Specification Property and Chaos in Multidimensional Shift Spaces and General Compact Metric Spaces by Reeve Hunter, B.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 E. Raines, D.Phil., Chairperson Nathan Alleman, Ph.D. Will Brian, D.Phil. Markus Hunziker, 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 Reeve Hunter All rights reserved TABLE OF CONTENTS LIST OF FIGURES vi ACKNOWLEDGMENTS vii DEDICATION viii 1 Introduction 1 2 Preliminaries 4 2.1 Dynamical Systems . -
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. -
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. -
NEWSLETTER Issue: 483 - July 2019
i “NLMS_483” — 2019/6/21 — 14:12 — page 1 — #1 i i i NEWSLETTER Issue: 483 - July 2019 50 YEARS OF MATHEMATICS EXACT AND THERMODYNAMIC AND MINE APPROXIMATE FORMALISM DETECTION COMPUTATIONS i i i i i “NLMS_483” — 2019/6/21 — 14:12 — page 2 — #2 i i i EDITOR-IN-CHIEF COPYRIGHT NOTICE Iain Moatt (Royal Holloway, University of London) News items and notices in the Newsletter may [email protected] be freely used elsewhere unless otherwise stated, although attribution is requested when reproducing whole articles. Contributions to EDITORIAL BOARD the Newsletter are made under a non-exclusive June Barrow-Green (Open University) licence; please contact the author or photog- Tomasz Brzezinski (Swansea University) rapher for the rights to reproduce. The LMS Lucia Di Vizio (CNRS) cannot accept responsibility for the accuracy of Jonathan Fraser (University of St Andrews) information in the Newsletter. Views expressed Jelena Grbic´ (University of Southampton) do not necessarily represent the views or policy Thomas Hudson (University of Warwick) of the Editorial Team or London Mathematical Stephen Huggett (University of Plymouth) Society. Adam Johansen (University of Warwick) Bill Lionheart (University of Manchester) ISSN: 2516-3841 (Print) Mark McCartney (Ulster University) ISSN: 2516-385X (Online) Kitty Meeks (University of Glasgow) DOI: 10.1112/NLMS Vicky Neale (University of Oxford) Susan Oakes (London Mathematical Society) Andrew Wade (Durham University) NEWSLETTER WEBSITE Early Career Content Editor: Vicky Neale The Newsletter is freely available electronically News Editor: Susan Oakes at lms.ac.uk/publications/lms-newsletter. Reviews Editor: Mark McCartney MEMBERSHIP CORRESPONDENTS AND STAFF Joining the LMS is a straightforward process. -
Notices of the American Mathematical Society
z 0 -1 ('"') I'T'1 Vl )> 3: !'T'l ?' 3: )>..., :I: Vl 0 ('"') Notices of the American Mathematical Society z s::: 3 CT ...~ z i 0 < ~ 3 November 1980, Issue 205 CT ...~ Volume 27, Number 7, Pages 577-656 ..... 1.0 Providence, Rhode Island USA 00 0 ISSN 0002-9920 CALENDAR OF AMS MEETINGS THIS CALENDAR lists all meetings which have been approved by the Council prior to the date this issue of the Notices was sent to press. The summer and annual meetings are joint meetings of the Mathematical Association of America and the Ameri· can Mathematical Society. The meeting dates which fall rather far in the future are subject to change; this is particularly true of meetings to which no numbers have yet been assigned. Programs of the meetings will appear in the issues indicated below. First and second announcements of the meetings will have appeared in earlier issues. ABSTRACTS OF PAPERS presented at a meeting of the Society are published in the journal Abstracts of papers presented to the American Mathematical Society in the issue corresponding to that of the Notices which contains the program of the meet· ing. Abstracts should be submitted on special forms which are available in many departments of mathematics and from the office of the Society in Providence. Abstracts of papers to be presented at the meeting must be received at the headquarters of the Society in Providence, Rhode Island, on or before the deadline given below for the meeting. Note that the deadline for ab· stracts submitted for consideration for presentation at special sessions is usually three weeks earlier than that specified below. -
Lecture Notes on Dynamical Systems, Chaos and Fractal Geometry
LECTURE NOTES ON DYNAMICAL SYSTEMS, CHAOS AND FRACTAL GEOMETRY Geoffrey R. Goodson Towson University Mathematics Department 1 2 Preface These notes were created over a number of years of teaching senior seminar type courses to senior year students at Towson University and graduate courses in the Towson University Applied Mathematics Graduate Program. Originally I based the course on some of the existing text books currently available, such as [63], [22], [28] and [20], but gradually realized that these didn’t fully suit the needs of our students, so I produced my own lecture notes. However, these notes owe a debt to the above mentioned books. The first 12 chapters cover fairly standard topics in (mostly) one- dimensional dynamics and should be accessible to most upper level undergraduate students. The requirements from real analysis and topology (metric spaces) are de- veloped as the material progresses. Chapter 13 gives a (non-rigorous) introduction to the theory of substitutions (via examples) and we show how these can give rise to cer- tain types of fractals. Subsequent chapters develop the rigorous mathematical theory of substitutions and Sturmian sequences. Although there are numerous expositions of this material, most either give a non-rigorous account with no depth, or assume a level of sophistication above that of the upper level undergraduate or beginning graduate student. Our study of substitutions is purely topological and avoids any measure theory. Consequently we do not touch on some important topics of current interest such as the spectral properties of substitutions (see [49]). Some of this material owes a debt to quite recent publications in the field of dy- namical systems appearing in journals such as the American Mathematical Monthly, the College Mathematics Journal, Mathematical Intelligencer and Mathematics Mag- azine. -
Reviewed by Thomas Ward
Citations From References: 1 Previous Up Next Article From Reviews: 0 MR2342699 (2008i:37001) 37-02 (01A60 28D20 37-03 37A35) Katok, Anatole (1-PAS) Fifty years of entropy in dynamics: 1958–2007. J. Mod. Dyn. 1 (2007), no. 4, 545–596. This is an attractive overview of the role played by “entropy” in the study of dynamical systems since its discovery by Kolmogorov at the end of the 1950s. Several features make it a particularly interesting read. First, the author has been an active participant in the field, often very close to the most exciting and influential developments. Second, the article does not attempt to provide a (potentially indigestible) complete history shaped by time, but instead an overview exposing the mathematical story, taking full advantage of later insights and developments. Third, it is written with candour (for example, one of the many interesting footnotes records the extent to which the disjointness paper of Furstenberg in 1967 was underestimated), with a vision of great extent in time and breadth in topic, with much detailed knowledge (for example, the ergodic-theory aspect of Wiener’s monograph of 1958 was new to me), and with great authority (both mathematical and personal: the author interacted directly with many of the key contributors both in the “Moscow school” and later in the United States). The breadth of the pervasive influence of entropy is re- flected in the main sections: Early history of entropy; Isomorphism problem; Topological entropy, variational principle, symbolic dynamics; Entropy and nonuniform hyperbolicity; Entropy as a source of rigidity; Rigidity of positive entropy measures for higher-rank abelian actions. -
GIBBS MEASURES and SYMBOLIC DYNAMICS Contents 1
GIBBS MEASURES AND SYMBOLIC DYNAMICS SAMUEL A. HARDER Abstract. In this paper we outline the arguments put forth by Rufus Bowen in his 1975 monograph, Equilibrium States and the Ergodic theory of Anasov Diffeomorphisms. We show the existence of Gibbs measures for H¨oldercontin- uous potentials on Markov shift spaces, then use the tools of symbolic dynamics and Markov partitions to apply our results to Axiom A diffeomorphisms. Contents 1. Introduction 1 2. Gibbs Measures 3 2.1. Gibbs Measures in Finite Systems 3 2.2. Gibbs Measures for Infinite Systems 5 2.3. The Construction of Gibbs Measures 8 2.4. The Variational Principle and Equilibrium States 10 3. Symbolic Dynamics 11 3.1. Axiom A Diffeomorphisms 14 3.2. Rectangles 17 3.3. Existence of Markov Partitions 19 3.4. Encoding 21 4. SRB Measures on Anosov Diffeomorphisms 22 4.1. Physical Measures 24 5. Further Reading 24 6. Acknowledgements 24 References 24 1. Introduction In the field of Dynamical Systems we study spaces and maps on those spaces. Often we are interested in describing the behavior of a dynamical system exactly, but in many cases this is very hard to do. In the subset of Dynamical systems known as ergodic theory we introduce the tools of measure theory into dynamics. This is useful because we can obtain sta- tistical results for our dynamical systems. In ergodic theory we study invariant measures. Suppose we have a dynamical system on a space X with f : X ! X measurable. Then a measure µ is f-invariant if µ(A) = µ(f −1(A)) Date: DEADLINES: Draft AUGUST 14 and Final version AUGUST 26, 2018.