Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-26T17:58:42.714Z Has data issue: false hasContentIssue false

What Could Be Worse than the Butterfly Effect?

Published online by Cambridge University Press:  01 January 2020

Robert C. Bishop*
Affiliation:
Physics Department, Wheaton College, Wheaton, IL60187, USA

Extract

Our understanding of classical mechanics (CM) has undergone significant growth in the latter half of the twentieth century and in the beginning of the twenty-first. This growth has much to do with the explosion of interest in the study of nonlinear systems in contrast with the focus on linear systems that had colored much work in CM from its inception. For example, although Maxwell and Poincaré arguably were some of the first to think about chaotic behavior, the modern study of chaotic dynamics traces its beginning to the pioneering work of Edward Lorenz (1963). This work has yielded a rich variety of behavior in relatively simple classical models that was previously unsuspected by the vast majority of the physics community (see Hilborn 2001). Chaos is a property of nonlinear systems that is usually characterized by sensitive dependence on initial conditions (SDIC). In CM the behavior of simple physical systems is described using models (such as the harmonic oscillator) that capture the main features of the systems in question (Giere 1988).

Type
Research Article
Copyright
Copyright © The Authors 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Avnir, D. Biham, O. Lidar, D. and Malcai, O. 1998. ‘Is the Geometry of Nature Fractal?Science 279: 3940.CrossRefGoogle Scholar
Barone, S. R. Kunhardt, E. E. Bentson, J. and Syljuasen, 1993. ‘Newtonian Chaos + Heisenberg Uncertainty = Macroscopic Indeterminacy.American Journal Of Physics 61: 423–7.CrossRefGoogle Scholar
Batterman, R. W. 1993. ‘Defining Chaos.Philosophy of Science 60: 4366.CrossRefGoogle Scholar
Bengisu, M.T. and Akay, A. 1992. ‘Interaction and Stability of Friction and Vibrations.’ In Fundamentals of Friction: Macroscopic and Microscopic Processes, Singer, I. L. and Pollock, H. M. eds. Dordrecht, The Netherlands: Kleuwer Academic Publishers. 553–66.CrossRefGoogle Scholar
Bell, J. S. 1987. Speakable and Unspeakable in Quantum Mechanics. Cambridge: Cambridge University Press.Google Scholar
Bishop, R. C. 2002a. ‘Chaos, Indeterminism, and Free Will.’ In The Oxford Handbook of Free Will, Kane, R. ed. Oxford: Oxford University Press. 111–24.Google Scholar
Bishop, R. C. 2002b. ‘Deterministic and Indeterministic Descriptions.’ In Between Chance and Choice: Interdisciplinary Perspectives on Determinism, Atamanspacher, H. and Bishop, R. eds. Thorverton: Imprint Academic. 531.Google Scholar
Bishop, R. C. 2003. ‘On Separating Prediction from Determinism.Erkenntnis 58: 169–88.Google Scholar
Bishop, R. C. 2005a. ‘Anvil or Onion: Determinism as a Layered Concept.Erkenntnis 63: 5571.CrossRefGoogle Scholar
Bishop, R. C. 2005b. ‘Patching Physics and Chemistry Together.’ Philosophy of Science 72: 710–22.CrossRefGoogle Scholar
Bishop, R. C. and Kronz, F. K. 1999. ‘Is Chaos Indeterministic?’ In Language, Quantum, Music: Selected Contributed Papers of the Tenth International Congress of Logic, Methodology & Philosophy of Science, Florence, August, 1995, Chiara, M. L. Dalla Guintini, R. and Laudisa, F. eds. Dordrecht, The Netherlands: Kluwer Academic Publishers. 129–41.CrossRefGoogle Scholar
Giere, R. 1988. Explaining Science. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Hilborn, R. C. 2001. Chaos and Nonlinear Dynamics: An Introduction for Scientists and Engineers, 2nd edition. Oxford: Oxford University.Press.Google Scholar
Hobbs, J. 1991. ‘Chaos and Indeterminism.Canadian Journal of Philosophy 21: 141–64.CrossRefGoogle Scholar
Kane, R. 1996.’ The Significance of Free Will. Oxford: Oxford University Press.Google Scholar
Kellert, S. H. 1993. In the Wake of Chaos. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Lorenz, E. N. 1963. ‘Deterministic Nonperiodic Flow.Journal of Atmospheric Science 20: 131–40.2.0.CO;2>CrossRefGoogle Scholar
Lorenz, E. N. 1965. ‘A Study of the Predictability of a 28-Variable Atmospheric Model.Tellus 17: 321–33.CrossRefGoogle Scholar
Mak, C. Daly, C. and Krim, J. 1994. ‘Atomic-Scale Friction Measurements on Silver and Chemisorbed Oxygen Surfaces.Thin Solid Films 253: 190–3.CrossRefGoogle Scholar
Oseledec, V. I. 1969. ‘A Multiplicative Ergodic Theorem. Lyapunov Characteristic Numbers for Dynamical Systems.Transactions of the Moscow Mathematics Society 19: 197231.Google Scholar
Ott, E. 2002. Chaos in Dynamical Systems, Second Edition. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Persson, B. N. J. 1991. ‘Surface Resistivity and Vibrational Damping in Adsorbed Layers,Physical Review B 44: 3277–96.CrossRefGoogle Scholar
Persson, B. N. J. 1993a. ‘Reply to “Comment on ‘Surface Resistivity and Vibrational Damping in Adsorbed Layers”’Physical Review B 48: 15 471.CrossRefGoogle Scholar
Persson, B. N. J. 1993b ‘Application of Surface Resistivity to Atomic Scale Friction, to the Migration of ‘‘Hot’’ Adatoms, and to Electrochemistry.Journal of Chemical Physics 98: 1659–72.CrossRefGoogle Scholar
Persson, B. N. J. and Demuth, J. E. 1985. ‘Determination of the Frequency-Dependent Resistivity of Ultrathin Metallic Films on Si(111).Physical Review B 31: 1856–62.CrossRefGoogle ScholarPubMed
Persson, B. N. J. and Ryberg, R. 1981. ‘Vibrational Interaction between Molecules adsorbed on a Metal Surface: The Dipole-Dipole Interaction.Physical Review B 24: 6954–70.CrossRefGoogle Scholar
Persson, B. N. J. and Zaremba, E. 1985. ‘Electron-Hole Pair Production at Metal Surfaces.Physical Review B 31: 1863–72.CrossRefGoogle ScholarPubMed
Primas, H. 1998. ‘Emergence in Exact Natural Sciences.Acta Polytechnica Scandinavica 91: 8398.Google Scholar
Ruele, D. 1994. ‘Where Can One Hope to Profitably Apply the Ideas of Chaos?’ Physics Today: 2430.CrossRefGoogle Scholar
Ruele, D. 2004. ‘Conversations on Nonequilibrium Physics with an Extraterrestrial.’ Physics Today: 4853.CrossRefGoogle Scholar
Singer, I. L. 1994. ‘Friction and energy dissipation at the atomic scale: A review,Journal of Vacuum Science and Technology A 12: 2605–16.CrossRefGoogle Scholar
Smith, L. A. 2000Disentangling Uncertainty and Error: On the Predictability of Nonlinear Systems.’ In Nonlinear Dynamics and Statistics, Mees, A. ed. Boston: Birkhauser. 3164.Google Scholar
Smith, L. A. Ziehmann, C. and Fraedrich, K. 1999. ‘Uncertainty Dynamics and Predictability in Chaotic Systems.Quarterly Journal of the Royal Meteorological Society 125: 2855–86.CrossRefGoogle Scholar
Smith, P. 1998. Explaining Chaos. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Sokoloff, J. B. 1995. ‘Theory of the Contribution to Sliding Friction from Electronic Excitations in the Microbalence Experiment.Physical Review B 52: 5318–22.CrossRefGoogle ScholarPubMed
Stone, M. A. 1989. ‘Chaos, Prediction and Laplacian DeterminismAmerican Philosophical Quarterly 26: 123–31.Google Scholar
Tobin, R. G. 1993. ‘Comment on ‘Surface Resistivity and Vibrational Damping in Adsorbed Layers.Physical Review B 48: 15 468–70.CrossRefGoogle ScholarPubMed
Ziehmann, C. Smith, L. A. and Kurths, J. 2000. ‘Localized Lyapunov Exponents and the Prediction of Predictability.Physics Letters A 271: 237–51.CrossRefGoogle Scholar
Zurek, W. 1998. ‘Decoherence, Chaos, Quantum-Classical Correspondence, and the Algorithmic Arrow of Time.’ Physica Scripta T76: 186–98.CrossRefGoogle Scholar