How Nature Works: the Science of Self-Organized Criticality/ Per Bak

Total Page:16

File Type:pdf, Size:1020Kb

How Nature Works: the Science of Self-Organized Criticality/ Per Bak how nature works c Springer Science+Business Media, LLC PERBAK how nature works © 1996 Springer Science+Business Media New York Originally published by Springer-Verlag New York Inc. in 1996 Softcover reprint of the hardcover 1st edition 1996 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. All characters except for historical personages are ficticious. Library of Congress Cataloging-in-Publication Data Bak,P. (Per), 194?- How nature works: the science of self-organized criticality/ Per Bak. p. em. Includes bibliographical references and index. ISBN 978-0-387-98738-5 ISBN 978-1-4757-5426-1 (eBook) DOI 10.1007/978-14757-5426-1 r. Critical phenomena (Physics) 2. Complexity (Philosophy) 3· Physics-Philosophy. I. Title. QC173+C74B34 1996 00 31 .7-dc2o Printed on acid-free paper. Designed by N ikita Pristouris 9 8 7 6 5 4 3 2 SPIN 10523741 ISBN 978-o-387-98738-5 Who could ever calculate the path of a molecule? How do we know that the creations of worlds are not determined by falling grains of sand? -Victor Hugo, Les M;serables Contents Preface and Acknowledgments Xl Chapter 1 Complex~ty and Cr~t~cal~ty 1 The Laws of Physics Are Simple, but Nature Is Complex . .3 . Storytelling Versus Science . 7. What Can a Theory of Complexity Explain? . 9 Power Laws and Criticality . .27 . Systems in Balance Are Not Complex . .28 . Chaos Is Not Complexity ................................ 29 Self-Organized Criticality . .3 . 1 . Chapter 2 The D~scovery ofSelf-Organ~zed Cr~ t~cal~ ty 33 Science at Brookhaven . 3. .3 . Where Does 1 /f "Noise" Come From? . 3. .7 . Susan Coppersmith's Dog Model ........................ 37 On Coupled Pendulums . 3 9 The Philosophy of Using Simple Models: On Spherical Cows ................................... 41 The Pendulums Become Critical......................... 45 Chapter 3 The Sandpae Parad~gm 49 The Sandpile Model ..................................... 52 Vlll How Nature Works Life in the Sandpile World ............................... 59 Can We Calculate the Power Laws with Pen and Paper? ....................................... 62 Chapter4 Real Sandpaes and Landscape Formation 65 Real Sand . 66. Norwegian Rice Piles ..................................... 69 Vicsek' s Landslide Experiment: The Origin of Fractals .................. ; . 5. 7 Himalayan Sandpiles . .77 . Sediment Deposition . .78 . Geomorphology: Landscapes Out of Balance . .8o . Chapter 5 Earthquakes, Starquakes, and Solar Flares 85 Self-Organization of Earthquakes ....................... 88 A Misprint Leads to Progress . 9 3 Rumbling Around Stromboli . 97. The Crust of the Earth Is Critical . 99. Pulsar Glitches and Starquakes . 1oo. Black Holes and Solar Flares............................ 1oo Chapter6 The "Game of Life": Complexity Is Criticality 105 Chapter 7 Is Life aSelf-Organized Critical Phenomenon? 113 The Santa Fe Institute................................... 114 Sand piles and Punctuated Equilibria .................. 117 Interacting Dancing Fitness Landscapes . .18 . 1 Chapter8 Mass Extinctions and Punctuated Equai hria in a Simple Model of Evolution 129 Can We Model Darwin? . 1 3 2 A Science Project for a Sunday Afternoon . .13 . .5 Contents 1x Life at a Cold Place . I43 Comparison with Real Data ............................ I44 On Dinosaurs and Meteors . I 5 I Dante Chialvo's Evolutionary Game . I5 3 Self-Organized Criticality and Gaia . I 54 Replaying the Tape of Evolution . I 56 Chapter 9 Theory of the Punctuated Equili bri urn Model 161 Whatls a Theory? ....................................... I62 The Random Neighbor Version of the Evolution Model ............................ I63 The Self-Organization Process . I67 The Critical State . I69 Revisiting the Game of Life . I70 Revisiting Earthquakes .................................. 172 Chapter 10 The Brain 175 Why Should the Brain Be Critical? . r 76 The Monkey Problem .................................. I78 The Brain and River Networks ......................... r8o Chapter 11 On Economics and Traffic Jams 183 Equilibrium Economics Is Like Water . I8 3 Real Economics Is Like Sand . I8 5 Simple Toy Model of a Critical Economy.............. I87 Fluctuations and Catastrophes Are Unavoidable ...... I9I Traffic Jams .............................................. I92 Bibliography I99 Index 207 preface and acknowledgments Self-organized criticality is a new way of viewing nature. The basic picture is one where nature is perpetually out of balance, but organized in a poised state-the critical state-where anything can happen within well-defined statistical laws. The aim of the science of self-organized criticality is to yield insight into the fundamental question of why nature is complex, not simple, as the laws of physics imply. Self-organized criticality explains some ubiquitous patterns existing in nature that we view as complex. Fractal structure and catastrophic events are among those regularities. Applications range from the study of pulsars and black holes to earthquakes and the evolution of life. One intriguing conse­ quence of the theory is that catastrophes can occur for no reason whatsoever. Mass extinctions may take place without any external triggering mechanism such as a volcanic eruption or a meteorite hitting the earth (although the the­ ory of course cannot rule out that this has in fact occurred). xu How Nature Works Since we first proposed the idea in 1987, more than 2,ooo papers have been written on self-organized criticality, making ours the most cited paper in physics during that period. How Nature Works is the first book to deal with the subject. The basic idea is simple, and most of the mathematical models that have been used in the implementation of the theory are not complicated. Any­ one with some computer literacy and a PC can set the models up on his own to verifY the predictions. Often, no more than high school mathematics is needed. Some of the computer programs are even available on the Internet. Some of the sandpile experiments are of no greater cost and difficulty than the dedi­ cated reader can perform him or hersel£ Unlike other subjects in physics, the basic ideas are simple enough to be made accessible to a non-scientific audience without being trivialized. Many friends and colleagues have helped me, with both the research and the book. The science has been all fun-in particular I am grateful to Kurt Wiesenfeld and Chao Tang, with whom I collaborated on the original idea, and to Kan Chen, Kim Christensen, Maya Paczuski, Zeev Olami, Sergei Maslov, Michael Creutz, Michael Woodford, Dimitris Stassinopolous, and Jose Scheinkman, who participated in the research that followed, bringing the idea to life by applying it to many different phenomena in nature. Thanks are due to Elaine Wiesenfeld for drawing the logo of self-organized criticality, the sandpile, shown in Figure 1; to Ricard Sole for drawing the dog-pulling Figure 9; to Arch Johnston for providing Figure 2; to Jens Feder and his group in Oslo for Figure 6 and the figures on their ricepile experiment, Figures 15-17 and Plate 4; to Daniel Rothman and John P. Grotzinger for the photos of the Kings Peak formation, Figure r8; to Peter Grassberger for the office version of the sandpile model, Figure 13; and to Paolo Diodati for providing the original figures on the measurements of acoustic emission from Stromboli, Figure 23. The impressive computer graphics on the sandpile in Plate r, and the "Game of Life," Plates 6-8, are due to Michael Creutz. A number of persons helped me increase the literary qualities of the manuscripr-unfortunately, the brevity of precise form that is suitable for scientific journals does not do well when addressing a broader audience. First Preface and Acknowledgments xm of all, I am grateful to Maya Paczuski and Jim Niederer who spent endless hours improving the presentation and helping with organizing the material. My children, Tine and Jakob and Thomas, checked the manuscript for read­ ability for non professionals, leading to revisions of several unclear passages. Finally, I am indebted to Jerry Lyons, William Frucht, and Robert Wexler of Copernicus Books for substantial and invaluable help with the manuscript at all stages. chapter 1 complexity and criticality How can the universe start with a few rypes ofelementary particles at the big bang, and end up with life, history, economics, and literature? The question is screaming out to be answered bur it is seldom even asked. Why did the big bang not form a simple gas of particles, or condense into one big crystal? We see complex phenomena around us so often that we rake them for granted without looking for further explanation. In fact, until recently very little sci­ entific effort was devoted to understanding why nature is complex. I will argue that complex behavior in nature reflects the tendency of large systems with many components ro evolve into a poised, "critical" state, way out of balance, where minor disturbances may lead to events, called avalanches, of all sizes. Most of the changes take place through catastrophic events rather than by following a smooth gradual path. The evolution to this very delicate state occurs without design from any outside agent. The state is estab­ lished solely because of the dynamical interactions among individual elements ofrhe system: rhe critical 2 How Nature Works state is selj-organiztd.
Recommended publications
  • Martian Crater Morphology
    ANALYSIS OF THE DEPTH-DIAMETER RELATIONSHIP OF MARTIAN CRATERS A Capstone Experience Thesis Presented by Jared Howenstine Completion Date: May 2006 Approved By: Professor M. Darby Dyar, Astronomy Professor Christopher Condit, Geology Professor Judith Young, Astronomy Abstract Title: Analysis of the Depth-Diameter Relationship of Martian Craters Author: Jared Howenstine, Astronomy Approved By: Judith Young, Astronomy Approved By: M. Darby Dyar, Astronomy Approved By: Christopher Condit, Geology CE Type: Departmental Honors Project Using a gridded version of maritan topography with the computer program Gridview, this project studied the depth-diameter relationship of martian impact craters. The work encompasses 361 profiles of impacts with diameters larger than 15 kilometers and is a continuation of work that was started at the Lunar and Planetary Institute in Houston, Texas under the guidance of Dr. Walter S. Keifer. Using the most ‘pristine,’ or deepest craters in the data a depth-diameter relationship was determined: d = 0.610D 0.327 , where d is the depth of the crater and D is the diameter of the crater, both in kilometers. This relationship can then be used to estimate the theoretical depth of any impact radius, and therefore can be used to estimate the pristine shape of the crater. With a depth-diameter ratio for a particular crater, the measured depth can then be compared to this theoretical value and an estimate of the amount of material within the crater, or fill, can then be calculated. The data includes 140 named impact craters, 3 basins, and 218 other impacts. The named data encompasses all named impact structures of greater than 100 kilometers in diameter.
    [Show full text]
  • Caverns Measureless to Man: Interdisciplinary Planetary Science & Technology Analog Research Underwater Laser Scanner Survey (Quintana Roo, Mexico)
    Caverns Measureless to Man: Interdisciplinary Planetary Science & Technology Analog Research Underwater Laser Scanner Survey (Quintana Roo, Mexico) by Stephen Alexander Daire A Thesis Presented to the Faculty of the USC Graduate School University of Southern California In Partial Fulfillment of the Requirements for the Degree Master of Science (Geographic Information Science and Technology) May 2019 Copyright © 2019 by Stephen Daire “History is just a 25,000-year dash from the trees to the starship; and while it’s going on its wild and woolly but it’s only like that, and then you’re in the starship.” – Terence McKenna. Table of Contents List of Figures ................................................................................................................................ iv List of Tables ................................................................................................................................. xi Acknowledgements ....................................................................................................................... xii List of Abbreviations ................................................................................................................... xiii Abstract ........................................................................................................................................ xvi Chapter 1 Planetary Sciences, Cave Survey, & Human Evolution................................................. 1 1.1. Topic & Area of Interest: Exploration & Survey ....................................................................12
    [Show full text]
  • Transactions 1905
    THE Royal Astronomical Society of Canada TRANSACTIONS FOR 1905 (INCLUDING SELECTED PAPERS AND PROCEEDINGS) EDITED BY C. A CHANT. TORONTO: ROYAL ASTRONOMICAL PRINT, 1906. The Royal Astronomical Society of Canada. THE Royal Astronomical Society of Canada TRANSACTIONS FOR 1905 (INCLUDING SELECTED PAPERS AND PROCEEDINGS) EDITED BY C. A CHANT. TORONTO: ROYAL ASTRONOMICAL PRINT, 1906. TABLE OF CONTENTS. The Dominion Observatory, Ottawa (Frontispiece) List of Officers, Fellows and A ssociates..................... - - 3 Treasurer’s R eport.....................--------- 12 President’s Address and Summary of Work ------ 13 List of Papers and Lectures, 1905 - - - - ..................... 26 The Dominion Observatory at Ottawa - - W. F. King 27 Solar Spots and Magnetic Storms for 1904 Arthur Harvey 35 Stellar Legends of American Indians - - J. C. Hamilton 47 Personal Profit from Astronomical Study - R. Atkinson 51 The Eclipse Expedition to Labrador, August, 1905 A. T. DeLury 57 Gravity Determinations in Labrador - - Louis B. Stewart 70 Magnetic and Meteorological Observations at North-West River, Labrador - - - - R. F. Stupart 97 Plates and Filters for Monochromatic and Three-Color Photography of the Corona J. S. Plaskett 89 Photographing the Sun and Moon with a 5-inch Refracting Telescope . .......................... D. B. Marsh 108 The Astronomy of Tennyson - - - - John A. Paterson 112 Achievements of Nineteenth Century Astronomy , L. H. Graham 125 A Lunar Tide on Lake Huron - - - - W. J. Loudon 131 Contributions...............................................J. Miller Barr I. New Variable Stars - - - - - - - - - - - 141 II. The Variable Star ξ Bootis -------- 143 III. The Colors of Helium Stars - - - ..................... 144 IV. A New Problem in Solar Physics ------ 146 Stellar Classification ------ W. Balfour Musson 151 On the Possibility of Fife in Other Worlds A.
    [Show full text]
  • Nonlinear Dynamics and Chaos: Advances and Perspectives Series: Understanding Complex Systems
    M. Thiel, J. Kurths, M.C. Romano, G. Károlyi, A. Moura (Eds.) Nonlinear Dynamics and Chaos: Advances and Perspectives Series: Understanding Complex Systems This book is a collection of contributions on various aspects of active frontier research in the field of dynamical systems and chaos. Each chapter examines a specific research topic and, in addition to reviewing recent results, also discusses future perspectives. The result is an invaluable snapshot of the state of the field by some of its most important researchers. The first contribution in this book, "How did you get into Chaos?", is actually a collection of personal accounts by a number of distinguished scientists on how they entered the field of chaos and dynamical systems, featuring comments and recollections by James Yorke, Harry Swinney, Floris Takens, Peter Grassberger, Edward Ott, Lou Pecora, Itamar Procaccia, Michael Berry, Giulio Casati, Valentin Afraimovich, Robert MacKay, and last but not least, 2010, XV, 293 p. 16 illus. in color. Celso Grebogi, to whom this volume is dedicated. Printed book Hardcover ▶ 139,99 € | £119.99 | $169.99 ▶ *149,79 € (D) | 153,99 € (A) | CHF 165.50 eBook Available from your bookstore or ▶ springer.com/shop MyCopy Printed eBook for just ▶ € | $ 24.99 ▶ springer.com/mycopy Order online at springer.com ▶ or for the Americas call (toll free) 1-800-SPRINGER ▶ or email us at: [email protected]. ▶ For outside the Americas call +49 (0) 6221-345-4301 ▶ or email us at: [email protected]. The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria.
    [Show full text]
  • Arxiv:2103.17058V2 [Physics.Pop-Ph] 3 Apr 2021 the Fodder for This Paper
    My cat Chester’s dynamical systems analysyyyyy7777777777777777y7is of the laser pointer and the red dot on the wall: correlation, causation, or SARS-Cov-2 hallucination? Eve Armstrong*†‡1,2 and Chester 1Department of Physics, New York Institute of Technology, New York, NY 10023, USA 2Department of Astrophysics, American Museum of Natural History, New York, NY 10024, USA (Dated: April 1, 2021) Abstract My cat Chester investigates the elusive relationship between the appearance in my hand of a silver laser pointer and that of a red dot on the wall, or on the floor, or on any other object that resides within the vicinity of the laser pointer. Chester first assesses preliminary establishments for causality, including mutual information, temporal precedence, and control for third variables. These assessments are all inconclusive for various reasons. In particular, mutual information fails to illuminate the problem due to a dearth of information regarding what the laser pointer might have been doing at times following Chester’s first awareness of the dot. Next Chester performs a formal reconstruction of phase space via time-delay embedding, to unfold the gggggggggggfffgfgtredvteometry ,mmmm.........,.„......,.mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm of the underlying dynamical system giving rise to the red dot’s trajectory. The resulting attractor does not resemble a laser pointer. The reconstruction could, however, be flawed, for example, due to the short temporal duration of the dot’s observed trajectory. Finally, the red dot could be a hallucination: a symptom brought on by COVID-19 - because, well, these days pretty much anything might be a symptom brought on by COVID-19. On this note, Chester’s kitten brother Mad Dog Lapynski offers an independent check on the red dot’s existence.
    [Show full text]
  • Arxiv:2010.05310V2 [Cond-Mat.Stat-Mech] 12 Feb 2021 Shown to Be Very Close to 1/2 [29], the Well-Known Critical [25]
    Chase-Escape Percolation on the 2D Square Lattice Aanjaneya Kumar∗ Department of Physics, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune 411008, India Peter Grassbergery JSC, Forschungszentrum J¨ulich, D-52425 J¨ulich,Germany Deepak Dharz Department of Physics, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pune 411008, India (Dated: February 15, 2021) Chase-escape percolation is a variation of the standard epidemic spread models. In this model, each site can be in one of three states: unoccupied, occupied by a single prey, or occupied by a single predator. Prey particles spread to neighboring empty sites at rate p, and predator particles spread only to neighboring sites occupied by prey particles at rate 1, killing the prey particle that existed at that site. It was found that the prey can survive with non-zero probability, if p > pc with pc < 1. Using Monte Carlo simulations on the square lattice, we estimate the value of pc = 0:49451±0:00001, and the critical exponents are consistent with the undirected percolation universality class. We define a discrete-time parallel-update version of the model, which brings out the relation between chase- escape and undirected bond percolation. For all p < pc in D-dimensions, the number of predators in the absorbing configuration has a stretched-exponential distribution in contrast to the exponential distribution in the standard percolation theory. We also study the problem starting from the line initial condition with predator particles on all lattice points of the line y = 0 and prey particles on the line y = 1.
    [Show full text]
  • What Is a Complex System?
    What is a Complex System? James Ladyman, James Lambert Department of Philosophy, University of Bristol, U.K. Karoline Wiesner Department of Mathematics and Centre for Complexity Sciences, University of Bristol, U.K. (Dated: March 8, 2012) Complex systems research is becoming ever more important in both the natural and social sciences. It is commonly implied that there is such a thing as a complex system, different examples of which are studied across many disciplines. However, there is no concise definition of a complex system, let alone a definition on which all scientists agree. We review various attempts to characterize a complex system, and consider a core set of features that are widely associated with complex systems in the literature and by those in the field. We argue that some of these features are neither necessary nor sufficient for complexity, and that some of them are too vague or confused to be of any analytical use. In order to bring mathematical rigour to the issue we then review some standard measures of complexity from the scientific literature, and offer a taxonomy for them, before arguing that the one that best captures the qualitative notion of the order produced by complex systems is that of the Statistical Complexity. Finally, we offer our own list of necessary conditions as a characterization of complexity. These conditions are qualitative and may not be jointly sufficient for complexity. We close with some suggestions for future work. I. INTRODUCTION The idea of complexity is sometimes said to be part of a new unifying framework for science, and a revolution in our understanding of systems the behaviour of which has proved difficult to predict and control thus far, such as the human brain and the world economy.
    [Show full text]
  • Appendix I Lunar and Martian Nomenclature
    APPENDIX I LUNAR AND MARTIAN NOMENCLATURE LUNAR AND MARTIAN NOMENCLATURE A large number of names of craters and other features on the Moon and Mars, were accepted by the IAU General Assemblies X (Moscow, 1958), XI (Berkeley, 1961), XII (Hamburg, 1964), XIV (Brighton, 1970), and XV (Sydney, 1973). The names were suggested by the appropriate IAU Commissions (16 and 17). In particular the Lunar names accepted at the XIVth and XVth General Assemblies were recommended by the 'Working Group on Lunar Nomenclature' under the Chairmanship of Dr D. H. Menzel. The Martian names were suggested by the 'Working Group on Martian Nomenclature' under the Chairmanship of Dr G. de Vaucouleurs. At the XVth General Assembly a new 'Working Group on Planetary System Nomenclature' was formed (Chairman: Dr P. M. Millman) comprising various Task Groups, one for each particular subject. For further references see: [AU Trans. X, 259-263, 1960; XIB, 236-238, 1962; Xlffi, 203-204, 1966; xnffi, 99-105, 1968; XIVB, 63, 129, 139, 1971; Space Sci. Rev. 12, 136-186, 1971. Because at the recent General Assemblies some small changes, or corrections, were made, the complete list of Lunar and Martian Topographic Features is published here. Table 1 Lunar Craters Abbe 58S,174E Balboa 19N,83W Abbot 6N,55E Baldet 54S, 151W Abel 34S,85E Balmer 20S,70E Abul Wafa 2N,ll7E Banachiewicz 5N,80E Adams 32S,69E Banting 26N,16E Aitken 17S,173E Barbier 248, 158E AI-Biruni 18N,93E Barnard 30S,86E Alden 24S, lllE Barringer 29S,151W Aldrin I.4N,22.1E Bartels 24N,90W Alekhin 68S,131W Becquerei
    [Show full text]
  • In Pdf Format
    lós 1877 Mik 88 ge N 18 e N i h 80° 80° 80° ll T 80° re ly a o ndae ma p k Pl m os U has ia n anum Boreu bal e C h o A al m re u c K e o re S O a B Bo l y m p i a U n d Planum Es co e ria a l H y n d s p e U 60° e 60° 60° r b o r e a e 60° l l o C MARS · Korolev a i PHOTOMAP d n a c S Lomono a sov i T a t n M 1:320 000 000 i t V s a Per V s n a s l i l epe a s l i t i t a s B o r e a R u 1 cm = 320 km lkin t i t a s B o r e a a A a A l v s l i F e c b a P u o ss i North a s North s Fo d V s a a F s i e i c a a t ssa l vi o l eo Fo i p l ko R e e r e a o an u s a p t il b s em Stokes M ic s T M T P l Kunowski U 40° on a a 40° 40° a n T 40° e n i O Va a t i a LY VI 19 ll ic KI 76 es a As N M curi N G– ra ras- s Planum Acidalia Colles ier 2 + te .
    [Show full text]
  • Stochastic to Deterministic Crossover of Fractal Dimension for a Langevin
    Stochastic to Deterministic Crossover of Fractal Dimensions for a Langevin Equation David A. Egolf and Henry S. Greenside∗ Department of Physics and Center for Nonlinear and Complex Systems Duke University, Durham, NC 27706 [email protected]; [email protected] Using algorithms of Higuchi and of Grassberger and Procaccia, we study numer- ically how fractal dimensions cross over from finite-dimensional Brownian noise at short time scales to finite values of deterministic chaos at longer time scales for data generated from a Langevin equation that has a strange attractor in the limit of zero noise. Our results suggest that the crossover occurs at such short time scales that there is little chance of finite-dimensional Brownian noise being incorrectly identified arXiv:chao-dyn/9303004v1 12 Mar 1993 as deterministic chaos. 2.50.+s, 5.40.+j, 5.45.+b, 47.25.Mr Typeset Using REVTEX 1 A significant recent effort in nonlinear dynamics has been devoted to analyzing time series so as to determine whether they are chaotic or stochastic [1]. Chaotic time series arise from deterministic strange attractors whose underlying geometric structure in state space can be used to improve short term forecasting [1], to remove noise [1], or to stabilize unstable periodic orbits by small perturbations of parameters [2]. Stochastic time series such as Gaussian white noise or Brownian motion can not be obtained from any finite set of deterministic equations, and are less amenable to prediction and control. An early expectation was that fractal dimensions of time series would provide a tool for distinguishing chaotic from stochastic behavior.
    [Show full text]
  • Morphological Transitions in Supercritical Generalized Percolation and Moving Interfaces in Media with Frozen Randomness
    PHYSICAL REVIEW RESEARCH 2, 043150 (2020) Morphological transitions in supercritical generalized percolation and moving interfaces in media with frozen randomness Peter Grassberger JSC, FZ Jülich, D-52425 Jülich, Germany (Received 15 May 2020; revised 12 August 2020; accepted 17 September 2020; published 28 October 2020) We consider the growth of clusters in disordered media at zero temperature, as exemplified by supercritical generalized percolation and by the T = 0 random field Ising model. We show that the morphology of such clusters and of their surfaces can be of different types: They can be standard compact clusters with rough or smooth surfaces, but there exists also a completely different “spongy” phase. Clusters in the spongy phase are compact as far as the size-mass relation M ∼ RD is concerned (with D being the space dimension) but have an outer surface (or “hull”) whose fractal dimension is also D and which is indeed dense in the interior of the entire cluster. This behavior is found in all dimensions D 3. Slightly supercritical clusters can be of either type in D = 3, while they are always spongy in D 4. Possible consequences for the applicability of Kardar-Parisi- Zhang (KPZ) scaling to interfaces in media with frozen pinning centers are studied in detail. In particular, we find—in contrast to KPZ—a weak-coupling phase in 2+1 dimensions. DOI: 10.1103/PhysRevResearch.2.043150 I. INTRODUCTION sality class of critical percolation and thus fractal and isotropic on large scales. More precisely, the interfaces are in the class Rough surfaces and interfaces have a huge number of ap- of percolation hulls, i.e., of externally accessible surfaces of plications in nature and in technology.
    [Show full text]
  • 323455 1 En Bookfrontmatter 1..31
    World Geomorphological Landscapes Series editor Piotr Migoń, Wroclaw, Poland More information about this series at http://www.springer.com/series/10852 Catherine Kuzucuoğlu Attila Çiner • Nizamettin Kazancı Editors Landscapes and Landforms of Turkey 123 Editors Catherine Kuzucuoğlu Nizamettin Kazancı Laboratory of Physical Geography (LGP, Ankara University UMR 8591) Ankara, Turkey CNRS, Universities of Paris 1 Panthéon-Sorbonne and Paris 12 U-Pec Meudon, France Attila Çiner Istanbul Technical University Istanbul, Turkey ISSN 2213-2090 ISSN 2213-2104 (electronic) World Geomorphological Landscapes ISBN 978-3-030-03513-6 ISBN 978-3-030-03515-0 (eBook) https://doi.org/10.1007/978-3-030-03515-0 Library of Congress Control Number: 2018960303 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.
    [Show full text]