Is Our Mathematics Natural? the Case of Equilibrium Statistical Mechanics
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April 2010 Contents
International Association of Mathematical Physics News Bulletin April 2010 Contents International Association of Mathematical Physics News Bulletin, April 2010 Contents Reflections on the IAMP Geography 3 Aharonov-Bohm & Berry Phase Anniversaries 50/25 5 The 25th anniversary of the founding of HARL 8 An interview with Huzihiro Araki 10 Shing-Tung Yau the Wolf Prize laureate 2010 in Mathematics 14 News from the IAMP Executive Committee 22 A new associated member: PIMS 26 Bulletin editor Valentin Zagrebnov Editorial board Evans Harrell, Masao Hirokawa, David Krejˇciˇr´ık, Jan Philip Solovej Contacts [email protected] http://www.iamp.org Cover photo (courtesy of Professor A.Tonomura): From double-slit experiment to the Aharonov-Bohm effect. See a comment at the end of the page 7. The views expressed in this IAMP News Bulletin are those of the authors and do not necessary represent those of the IAMP Executive Committee, Editor or Editorial board. Any complete or partial performance or reproduction made without the consent of the author or of his successors in title or assigns shall be unlawful. All reproduction rights are henceforth reserved, mention of the IAMP News Bulletin is obligatory in the reference. (Art.L.122-4 of the Code of Intellectual Property). 2 IAMP News Bulletin, April 2010 Editorial Reflections on the IAMP Geography by Pavel Exner (IAMP President) The topic of today’s meditation was inspired by complaints of American colleagues about the shaky position our discipline enjoys in the U.S. True, such woes are ubiquitous since com- petition for resources in science was and will always be tough. -
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 -
Decomposing the Dynamics of the Lorenz 1963 Model Using Unstable
Decomposing the Dynamics of the Lorenz 1963 model using Unstable Periodic Orbits: Averages, Transitions, and Quasi-Invariant Sets Chiara Cecilia Maiocchi∗ and Valerio Lucarini† Centre for the Mathematics of Planet Earth, University of Reading and Department of Mathematics and Statistics, University of Reading Unstable periodic orbits (UPOs) are a valuable tool for studying chaotic dynamical systems. They allow one to extract information from a system and to distill its dynamical structure. We consider here the Lorenz 1963 model with the classic parameters’ value and decompose its dynamics in terms of UPOs. We investigate how a chaotic orbit can be approximated in terms of UPOs. At each instant, we rank the UPOs according to their proximity to the position of the orbit in the phase space. We study this process from two different perspectives. First, we find that, somewhat unexpectedly, longer period UPOs overwhelmingly provide the best local approximation to the trajectory, even if our UPO-detecting algorithm severely undersamples them. Second, we construct a finite-state Markov chain by studying the scattering of the forward trajectory between the neighbourhood of the various UPOs. Each UPO and its neighbourhood are taken as a possible state of the system. We then study the transitions between the different states. Through the analysis of the subdominant eigenvectors of the corresponding stochastic matrix we provide a different interpretation of the mixing processes occurring in the system by taking advantage of the concept of quasi-invariant sets. I. INTRODUCTION would suffice in obtaining an accurate approximation of ergodic averages [70–72]. These results are proven to be Unstable periodic orbits (UPOs) play an important valid for dynamical systems exhibiting strong chaoticity role in the analysis of dynamical systems that exhibit [73, 74], such as hyperbolic and Axiom A systems chaotic behaviour and in some cases they provide a [75, 76]. -
The Mathematical Heritage of Henri Poincaré
http://dx.doi.org/10.1090/pspum/039.1 THE MATHEMATICAL HERITAGE of HENRI POINCARE PROCEEDINGS OF SYMPOSIA IN PURE MATHEMATICS Volume 39, Part 1 THE MATHEMATICAL HERITAGE Of HENRI POINCARE AMERICAN MATHEMATICAL SOCIETY PROVIDENCE, RHODE ISLAND PROCEEDINGS OF SYMPOSIA IN PURE MATHEMATICS OF THE AMERICAN MATHEMATICAL SOCIETY VOLUME 39 PROCEEDINGS OF THE SYMPOSIUM ON THE MATHEMATICAL HERITAGE OF HENRI POINCARfe HELD AT INDIANA UNIVERSITY BLOOMINGTON, INDIANA APRIL 7-10, 1980 EDITED BY FELIX E. BROWDER Prepared by the American Mathematical Society with partial support from National Science Foundation grant MCS 79-22916 1980 Mathematics Subject Classification. Primary 01-XX, 14-XX, 22-XX, 30-XX, 32-XX, 34-XX, 35-XX, 47-XX, 53-XX, 55-XX, 57-XX, 58-XX, 70-XX, 76-XX, 83-XX. Library of Congress Cataloging in Publication Data Main entry under title: The Mathematical Heritage of Henri Poincare\ (Proceedings of symposia in pure mathematics; v. 39, pt. 1— ) Bibliography: p. 1. Mathematics—Congresses. 2. Poincare', Henri, 1854—1912— Congresses. I. Browder, Felix E. II. Series: Proceedings of symposia in pure mathematics; v. 39, pt. 1, etc. QA1.M4266 1983 510 83-2774 ISBN 0-8218-1442-7 (set) ISBN 0-8218-1449-4 (part 2) ISBN 0-8218-1448-6 (part 1) ISSN 0082-0717 COPYING AND REPRINTING. Individual readers of this publication, and nonprofit librar• ies acting for them are permitted to make fair use of the material, such as to copy an article for use in teaching or research. Permission is granted to quote brief passages from this publication in re• views provided the customary acknowledgement of the source is given. -
Τα Cellular Automata Στο Σχεδιασμό
τα cellular automata στο σχεδιασμό μια προσέγγιση στις αναδρομικές σχεδιαστικές διαδικασίες Ηρώ Δημητρίου επιβλέπων Σωκράτης Γιαννούδης 2 Πολυτεχνείο Κρήτης Τμήμα Αρχιτεκτόνων Μηχανικών ερευνητική εργασία Ηρώ Δημητρίου επιβλέπων καθηγητής Σωκράτης Γιαννούδης Τα Cellular Automata στο σχεδιασμό μια προσέγγιση στις αναδρομικές σχεδιαστικές διαδικασίες Χανιά, Μάιος 2013 Chaos and Order - Carlo Allarde περιεχόμενα 0001. εισαγωγή 7 0010. χάος και πολυπλοκότητα 13 a. μια ιστορική αναδρομή στο χάος: Henri Poincare - Edward Lorenz 17 b. το χάος 22 c. η πολυπλοκότητα 23 d. αυτοοργάνωση και emergence 29 0011. cellular automata 31 0100. τα cellular automata στο σχεδιασμό 39 a. τα CA στην στην αρχιτεκτονική: Paul Coates 45 b. η φιλοσοφική προσέγγιση της διεπιστημονικότητας του σχεδιασμού 57 c. προσομοίωση της αστικής ανάπτυξης μέσω CA 61 d. η περίπτωση της Changsha 63 0101. συμπεράσματα 71 βιβλιογραφία 77 1. Metamorphosis II - M.C.Escher 6 0001. εισαγωγή Η επιστήμη εξακολουθεί να είναι η εξ αποκαλύψεως προφητική περιγραφή του κόσμου, όπως αυτός φαίνεται από ένα θεϊκό ή δαιμονικό σημείο αναφοράς. Ilya Prigogine 7 0001. 8 0001. Στοιχεία της τρέχουσας αρχιτεκτονικής θεωρίας και μεθοδολογίας προτείνουν μια εναλλακτική λύση στις πάγιες αρχιτεκτονικές μεθοδολογίες και σε ορισμένες περιπτώσεις υιοθετούν πτυχές του νέου τρόπου της κατανόησής μας για την επιστήμη. Αυτά τα στοιχεία εμπίπτουν σε τρεις κατηγορίες. Πρώτον, μεθοδολογίες που προτείνουν μια εναλλακτική λύση για τη γραμμικότητα και την αιτιοκρατία της παραδοσιακής αρχιτεκτονικής σχεδιαστικής διαδικασίας και θίγουν τον κεντρικό έλεγχο του αρχιτέκτονα, δεύτερον, η πρόταση μιας μεθοδολογίας με βάση την προσομοίωση της αυτο-οργάνωσης στην ανάπτυξη και εξέλιξη των φυσικών συστημάτων και τρίτον, σε ορισμένες περιπτώσεις, συναρτήσει των δύο προηγούμενων, είναι μεθοδολογίες οι οποίες πειραματίζονται με την αναδυόμενη μορφή σε εικονικά περιβάλλοντα. -
Arthur Strong Wightman (1922–2013)
Obituary Arthur Strong Wightman (1922–2013) Arthur Wightman, a founding father of modern mathematical physics, passed away on January 13, 2013 at the age of 90. His own scientific work had an enormous impact in clar- ifying the compatibility of relativity with quantum theory in the framework of quantum field theory. But his stature and influence was linked with an enormous cadre of students, scientific collaborators, and friends whose careers shaped fields both in mathematics and theoretical physics. Princeton has a long tradition in mathematical physics, with university faculty from Sir James Jeans through H.P. Robertson, Hermann Weyl, John von Neumann, Eugene Wigner, and Valentine Bargmann, as well as a long history of close collaborations with colleagues at the Institute for Advanced Study. Princeton became a mecca for quantum field theorists as well as other mathematical physicists during the Wightman era. Ever since the advent of “axiomatic quantum field theory”, many researchers flocked to cross the threshold of his open office door—both in Palmer and later in Jadwin—for Arthur was renowned for his generosity in sharing ideas and research directions. In fact, some students wondered whether Arthur might be too generous with his time helping others, to the extent that it took time away from his own research. Arthur had voracious intellectual appetites and breadth of interests. Through his interactions with others and his guidance of students and postdocs, he had profound impact not only on axiomatic and constructive quantum field theory but on the de- velopment of the mathematical approaches to statistical mechanics, classical mechanics, dynamical systems, transport theory, non-relativistic quantum mechanics, scattering the- ory, perturbation of eigenvalues, perturbative renormalization theory, algebraic quantum field theory, representations of C⇤-algebras, classification of von Neumann algebras, and higher spin equations. -
Strange Attractors in a Multisector Business Cycle Model
Journal of Economic Behavior and Organization 8 (1987) 397411. North-Holland STRANGE ATTRACTORS IN A MULTISECTOR BUSINESS CYCLE MODEL Hans-Walter LORENZ* Uniuersity of Giittingen, 34 Giittingen, FRG Received October 1985. final version received December 1986 Three coupled oscillating sectors in a multisector Kaldor-type business cycle model can give rise to the occurrence of chaotic motion. If the sectors are linked by investment demand interdependencies, this coupling can be interpreted as a perturbation of a motion on a three- dimensional torus. A theorem by Newhouse, Ruelle and Takens implies that such a perturbation may possess a strange attractor with the consequence that the flow of the perturbed system may become irregular or chaotic. A numerical investigation reveals that parameter values can be found which indeed lead to chaotic trajectories in this cycle model. 1. Introduction Recent work on chaos and strange attractors in non-linear dynamical systems has raised the question whether a ‘route to turbulence’ can be traced in a continuous-time dynamical system by means of a steady increase of a control parameter and successive bifurcations with a change of the topo- logical nature of the trajectories. A famous example for such a route to turbulence was provided by Ruelle and Takens (1971)‘: Starting with an asymptotically stable fixed point for low values of the parameter, the system undergoes a Hopf bifurcation if the control parameter is sufficiently in- creased. While a second Hopf bifurcation implies a bifurcation of the generated limit cycle to a two-dimensional torus, a third Hopf bifurcation can lead to the occurrence of a strange attractor and hence of chaos. -
Fractal Attraction Chaos: Chaotic Art Orderly Science
Fractal attraction Chaos: Chaotic Art Orderly Science “…. My wisdom is ignored as much as chaos. What’s my nothingness compared with the wonder awaiting you?” (Arthur Rimbaud). If we look up the meaning of Chaos in the dictionary, we find: "…the primordial indistinct state of all elements, the shapeless matter before creation and order in the world”. Anyway, the word Chaos has acquired a new meaning for the modern Chaos Theory (it was Jim Yorke, a mathematician of the University of Maryland, who first, in 1975, used this expression to describe those systems made of complex order structures, that gave extremely difficult predictability problems and that, spontaneously and simultaneously, produced chaos and order together). As a matter of fact, if before it was synonymous of disorder and confusion, later became, in the field of science, the definition of a system that is not only accidental, but also provided with a deeper complex structure. Just these systems are slightly influenced by every little initial variation that, as time goes by, nourishes consequences on a large scale. This phenomenon, summarized by that ironical example, known as “butterfly effect” - the air moved today in Peking by a butterfly’s wings will soon cause a tempest in New York – was discovered by Edward Lorenz at the beginning of the 60’s. By developing a simple mathematic pattern to represent the weather conditions, he discovered that the solutions of those equations were particularly influenced by the variations made at the beginning. Completely different courses took shape from almost identical starting points, and any long-term forecast was useless. -
Solutions in Constructive Field Theory
Solutions in Constructive Field Theory Leif Hancox-Li ∗ [email protected] June 7, 2016 Abstract Constructive field theory aims to rigorously construct concrete, non-trivial solutions to Lagrangians used in particle physics, where the solutions satisfy some relevant set of axioms. I examine the relationship of solutions in constructive field theory to both axiomatic and Lagrangian quantum field theory (QFT). I argue that Lagrangian QFT provides conditions for what counts as a successful constructive solution, and that it provides other information that guides constructive field theorists to solutions. Solutions matter because they describe the behavior of QFT systems, and thus what QFT says the world is like. Constructive field theory, in incorporating ingredients from both axiomatic and Lagrangian QFT, clarifies existing disputes about which parts of QFT are philosophically relevant and how rigor relates to these disputes. ∗I thank Bob Batterman and Michael Miller for comments and encouragement. Several anonymous referees also contribued valuable comments. Copyright Philosophy of Science 2016 Preprint (not copyedited or formatted) Please use DOI when citing or quoting 1 Introduction To date, philosophers of quantum field theory (QFT) have paid much attention to roughly two kinds of QFT: axiomatic approaches to algebraic QFT (Halvorson and Muger,¨ 2006), and Lagrangian-based QFT as used by particle physicists (Wallace, 2006). Comparatively less attention, however, has been paid to constructive QFT, an approach that aims to rigorously construct non-trivial solutions of QFT for Lagrangians and Hamiltonians that are important in particle physics, ensuring that such solutions satisfy certain axioms. In doing so, constructive QFT mediates between axiomatic approaches to QFT and physicists’ Lagrangian-based QFT. -
Geometry of Chaos
Part I Geometry of chaos e start out with a recapitulation of the basic notions of dynamics. Our aim is narrow; we keep the exposition focused on prerequisites to the applications to W be developed in this text. We assume that the reader is familiar with dynamics on the level of the introductory texts mentioned in remark 1.1, and concentrate here on developing intuition about what a dynamical system can do. It will be a broad stroke description, since describing all possible behaviors of dynamical systems is beyond human ken. While for a novice there is no shortcut through this lengthy detour, a sophisticated traveler might bravely skip this well-trodden territory and embark upon the journey at chapter 18. The fate has handed you a law of nature. What are you to do with it? 1. Define your dynamical system (M; f ): the space M of its possible states, and the law f t of their evolution in time. 2. Pin it down locally–is there anything about it that is stationary? Try to determine its equilibria / fixed points (chapter2). 3. Cut across it, represent as a return map from a section to a section (chapter3). 4. Explore the neighborhood by linearizing the flow; check the linear stability of its equilibria / fixed points, their stability eigen-directions (chapters4 and5). 5. Does your system have a symmetry? If so, you must use it (chapters 10 to 12). Slice & dice it (chapter 13). 6. Go global: train by partitioning the state space of 1-dimensional maps. Label the regions by symbolic dynamics (chapter 14). -
Chaos, Complexity, and Inference (36-462) Lecture 8
Randomness and Algorithmic Information References Chaos, Complexity, and Inference (36-462) Lecture 8 Cosma Shalizi 7 February 2008 36-462 Lecture 8 Randomness and Algorithmic Information References In what senses can we say that chaos gives us deterministic randomness? Explaining “random” in terms of information Chaotic dynamics and information All ideas shamelessly stolen from [1] Single most important reference on algorithmic definition of randomness: [2] But see also [3] on detailed connections to dynamics 36-462 Lecture 8 Randomness and Algorithmic Information References Probability Theory and Its Models Probability theory is a theory — axioms & logical consequences Something which obeys that theory is one of its realizations E.g., r = 1 logistic map, with usual generating partition, is a realization of the theory of IID fair coin tossing Can we say something general about realizations of probability theory? 36-462 Lecture 8 Randomness and Algorithmic Information References Compression Information theory last time: looked at compact coding random objects Coding and compression turn out to define randomness Lossless compression: Encoded version is shorter than original, but can uniquely & exactly recover original Lossy compression: Can only get something close to original Stick with lossless compression 36-462 Lecture 8 Randomness and Algorithmic Information References Lossless compression needs an effective procedure — definite steps which a machine could take to recover the original Effective procedures are the same as algorithms Algorithms are the same as recursive functions Recursive functions are the same as what you can do with a finite state machine and an unlimited external memory (Turing machine) For concreteness, think about programs written in a universal programming language (Lisp, Fortran, C, C++, Pascal, Java, Perl, OCaml, Forth, ...) 36-462 Lecture 8 Randomness and Algorithmic Information References x is our object, size |x| Desired: a program in language L which will output x and then stop some trivial programs eventually output everything e.g. -
Operator Algebras and Applications, Volume 38-Part 1
http://dx.doi.org/10.1090/pspum/038.1 PROCEEDINGS OF SYMPOSIA IN PURE MATHEMATICS Volume 38, Part 1 OPERATOR ALGEBRAS AND APPLICATIONS AMERICAN MATHEMATICAL SOCIETY PROVIDENCE, RHODE ISLAND 1982 PROCEEDINGS OF THE SYMPOSIUM IN PURE MATHEMATICS OF THE AMERICAN MATHEMATICAL SOCIETY HELD AT QUEENS UNIVERSITY KINGSTON, ONTARIO JULY 14-AUGUST 2, 1980 EDITED BY RICHARD V. KADISON Prepared by the American Mathematical Society with partial support from National Science Foundation grant MCS 79-27061 Library of Congress Cataloging in Publication Data Symposium in Pure Mathematics (1980: Queens University, Kingston, Ont.) Operator algebras and applications. (Proceedings of symposia in pure mathematics; v. 38) Includes bibliographies and index. 1. Operator algebras-Congresses. I. Kadison, Richard V., 1925— II. Title. III. Series. QA326.S95 1982 512'.55 82-11561 ISBN 0-8218-1441-9 (v. 1) ISBN 0-8218-1444-3 (v. 2) ISBN 0-8218-1445-1 (set) 1980 Mathematics Subject Classification. Primary 46L05, 46L10; Secondary 43A80, 81E05, 82A15. Copyright © 1982 by the American Mathematical Society Printed in the United States of America All rights reserved except those granted to the United States Government. This book may not be reproduced in any form without the permission of the publishers. TABLE OF CONTENTS PARTI Author index xi Preface RICHARD V. KADISON xvn* Operator algebras—the first forty years 1 RICHARD V. KADISON On the structure theory of C*-algebras: some old and new problems 19 EDWARD G. EFFROS Homological invariants of extensions of C*-algebras 35 JONATHAN ROSENBERG Geometric resolutions and the Kunneth formula for C*-algebras 77 CLAUDE SCHOCHET The J£-groups for free products of C*-algebras 81 JOACHIM CUNTZ The internal structure of simple C*-algebras 85 JOACHIM CUNTZ K homology and index theory 117 PAUL BAUM AND RONALD G.