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Understanding Thermodynamic Singularities: Phase Transitions, Data, and Phenomena

Published online by Cambridge University Press:  01 January 2022

Abstract

According to standard (quantum) statistical mechanics, the phenomenon of a phase transition, as described in classical thermodynamics, cannot be derived unless one assumes that the system under study is infinite. This is naturally puzzling since real systems are composed of a finite number of particles; consequently, a well-known reaction to this problem was to urge that the thermodynamic definition of phase transitions (in terms of singularities) should not be “taken seriously.” This article takes singularities seriously and analyzes their role by using the well-known distinction between data and phenomena, in an attempt to better understand the origin of the puzzle.

Type
Research Article
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

I thank Robert Batterman, Craig Callender, Chuang Liu, Paul Humphreys, Alex Rueger, Margie Morrison, James Overton, Nic Fillion, Axel Gelfert, Roman Frigg, and the referees for this journal for their comments on earlier drafts. While I greatly benefited from this feedback, I am the only one responsible for all errors or inconsistencies left in this article.

References

Andrews, Thomas (1869), “The Bakerian Lecture: On the Continuity of the Gaseous and Liquid States of Matter”, The Bakerian Lecture: On the Continuity of the Gaseous and Liquid States of Matter 159:575590.Google Scholar
Bailer-Jones, Daniela (2009), Scientific Models in Philosophy of Science. Pittsburgh: University of Pittsburgh Press.CrossRefGoogle Scholar
Baker, Alan (2005), “Are There Genuine Mathematical Explanations of Physical Phenomena?”, Are There Genuine Mathematical Explanations of Physical Phenomena? 114:223237.Google Scholar
Bangu, Sorin (2008a), “Inference to the Best Explanation and Mathematical Realism”, Inference to the Best Explanation and Mathematical Realism 160:1320.Google Scholar
Bangu, Sorin (2008b), “Reifying Mathematics? Prediction and Symmetry Classification”, Reifying Mathematics? Prediction and Symmetry Classification 39:239258.Google Scholar
Batterman, Robert (2002), The Devil in the Details. Oxford: Oxford University Press.Google Scholar
Batterman, Robert (2005a), “Critical Phenomena and Breaking Drops: Infinite Idealizations in Physics”, Critical Phenomena and Breaking Drops: Infinite Idealizations in Physics 36:225244.Google Scholar
Batterman, Robert (2005b), “Response to Belot's ‘Whose Devil? Which Details?’”, Response to Belot's ‘Whose Devil? Which Details?’ 72 (1): 154163..Google Scholar
Batterman, Robert (2009), “On the Explanatory Role of Mathematics in Empirical Science”, British Journal for the Philosophy of Science, forthcoming.Google Scholar
Batterman, Robert (forthcoming), “Emergence in Physics”, in Routledge Encyclopedia of Philosophy Online. London: Routledge.Google Scholar
Belot, Gordon (2005), “Whose Devil? Which Details?”, Whose Devil? Which Details? 72 (1): 128153..Google Scholar
Bogen, Jim, and Woodward, James (1988), “Saving the Phenomena”, Saving the Phenomena 97:303352.Google Scholar
Brown, James R. (1994), Smoke and Mirrors. London: Routledge.CrossRefGoogle Scholar
Brush, Stephen (1976), “Statistical Mechanics and the Philosophy of Science: Some Historical Notes”, in Suppe, Frederick and Asquith, Peter D. (eds.), PSA 1976: Proceedings of the 1976 Biennial Meeting of the Philosophy of Science Association, Vol. 2. East Lansing, MI: Philosophy of Science Association, 551584.Google Scholar
Bueno, Otavio (2005), “Dirac and the Dispensability of Mathematics”, Dirac and the Dispensability of Mathematics 36:465490.Google Scholar
Callender, Craig (1999), “Reducing Thermodynamics to Statistical Mechanics: The Case of Entropy”, Reducing Thermodynamics to Statistical Mechanics: The Case of Entropy 96:348373.Google Scholar
Callender, Craig (2001), “Taking Thermodynamics Too Seriously”, Taking Thermodynamics Too Seriously 32:539553.Google Scholar
Casetti, L., Pettini, M., and Cohen, E. (2003), “Phase Transitions and Topology Changes in Configuration Space”, Phase Transitions and Topology Changes in Configuration Space 111 (5/6): 10911123.Google Scholar
Colyvan, Mark (2001), The Indispensability of Mathematics. New York: Oxford University Press.CrossRefGoogle Scholar
Emch, Gerard, and Liu, Chuang (2002), The Logic of Thermo-Statistical Physics. Berlin: Springer.CrossRefGoogle Scholar
Falkenburg, Brigitte (2009), “What Are the Phenomena of Physics?Synthese, forthcoming.CrossRefGoogle Scholar
Field, Hartry (1980), Science without Numbers. Princeton, NJ: Princeton University Press.Google Scholar
Gelfert, Axel (2005), “Mathematical Rigor in Physics: Putting Exact Results in Their Place”, Mathematical Rigor in Physics: Putting Exact Results in Their Place 72 (5): 723738..Google Scholar
Glymour, Bruce (2000), “Data and Phenomena: A Distinction Reconsidered”, Data and Phenomena: A Distinction Reconsidered 52:2937.Google Scholar
Gross, David (2001), Microcanonical Thermodynamics: Phase Transitions in “Small” Systems. Singapore: World Scientific.CrossRefGoogle Scholar
Holste, J. C., Hall, K. R., Eubank, P. T., Esperb, G., Watson, M. Q., Warownyc, W., Bailey, D. M., Young, J. G., and Bellomy, M. T. (1987), “Experimental (p, V m, T) for Pure CO2 between 220 and 450 K”, Experimental (p, V m, T) for Pure CO2 between 220 and 450 K 19:12331250.Google Scholar
Humphreys, Paul (1997), “Emergence, Not Supervenience”, Emergence, Not Supervenience 64:S334S345.Google Scholar
Humphreys, Paul (2006), “Emergence”, in Borchert, Donald (ed.), The Encyclopedia of Philosophy. 2nd ed. New York: Macmillan.Google Scholar
Jones, Nicholaos (2006), Ineliminable Idealizations, Phase Transitions, and Irreversibility. PhD Dissertation. Columbus: Ohio State University.Google Scholar
Kadanoff, Leo (2000), Statistical Physics. Singapore: World Scientific.CrossRefGoogle Scholar
Landau, D., and Binder, K. (2005), A Guide to Monte Carlo Simulations in Statistical Physics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Laymon, Ronald (1995), “Experimentation and the Legitimacy of Idealization”, Experimentation and the Legitimacy of Idealization 77:353375.Google Scholar
Lee, T. D., and Yang, C. N. (1952), “Statistical Theory of Equations of State and Phase Transitions. II. Lattice Gas and Ising Model”, Statistical Theory of Equations of State and Phase Transitions. II. Lattice Gas and Ising Model 87:410419.Google Scholar
Leng, Mary (2005), “Mathematical Explanation”, in Cellucci, C. and Gillies, D. (eds.), Mathematical Reasoning and Heuristics. London: King's College Publications.Google Scholar
Liu, Chuang (1999), “Explaining the Emergence of Cooperative Phenomena”, Explaining the Emergence of Cooperative Phenomena 66 (Proceedings): S92S106.Google Scholar
Liu, Chuang (2001), “Infinite Systems in SM Explanations: Thermodynamic Limit, Renormalization (Semi-) Groups, and Irreversibility”, Infinite Systems in SM Explanations: Thermodynamic Limit, Renormalization (Semi-) Groups, and Irreversibility 68 (Proceedings): S325S344.Google Scholar
Machamer, Peter (2009), “Phenomena, Data and Theories: A Special Issue of Synthese”, Synthese, forthcoming.CrossRefGoogle Scholar
Mainwood, Paul F. (2006), Is More Different? Emerging Properties in Physics. PhD Dissertation. Oxford: Oxford University.Google Scholar
Malanowski, S. (1988), “Error Analysis in Thermodynamic Measurements”, in Malanowski, S. and Anderko, A. (eds.), Thermodynamics of Fluids: Measurement and Correlation. Singapore: World Scientific.Google Scholar
Massimi, Michela (2007), “Saving Unobservable Phenomena”, Saving Unobservable Phenomena 58:235262.Google Scholar
McAllister, James (1997), “Phenomena and Patterns in Data Sets”, Phenomena and Patterns in Data Sets 47:217228.Google Scholar
McMullin, Ernan (1985), “Galilean Idealization”, Galilean Idealization 16:247273.Google Scholar
Morrison, Margaret (2009), “Understanding in Physics and Biology: Encounters with Infinity”, in Regt, H. de, Leonelli, S., and Eigner, K. (eds.), Scientific Understanding: Philosophical Perspectives. Pittsburgh: University of Pittsburgh Press, forthcoming.Google Scholar
Nagel, Ernest (1961), The Structure of Science. New York: Harcourt.CrossRefGoogle Scholar
Nickles, Thomas (1973), “Two Concepts of Inter-theoretic Reduction”, Two Concepts of Inter-theoretic Reduction 70:181201.Google Scholar
Onsager, Lars (1944), “Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition”, Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition 65:117149.Google Scholar
Pincock, Chris (2007), “A Role for Mathematics in the Physical Sciences”, A Role for Mathematics in the Physical Sciences 41 (2): 253275..Google Scholar
Poole, Peter H., Sciortino, Francesco, Essmann, Ulrich, and Stanley, H. Eugene (1992), “Phase Behavior of Metastable Water”, Phase Behavior of Metastable Water 360:324328.Google Scholar
Psillos, Stathis (2004), “Tracking the Real: Through Thick and Thin”, Tracking the Real: Through Thick and Thin 55:393409.Google Scholar
Reif, Frederic (1965), Statistical and Thermal Physics. New York: McGraw-Hill.Google Scholar
Rueger, Alexander (2000), “Robust Supervenience and Emergence”, Robust Supervenience and Emergence 67:466489.Google Scholar
Saatsi, Juha (2007), “Living in Harmony: Nominalism and the Explanationist Argument for Realism”, Living in Harmony: Nominalism and the Explanationist Argument for Realism 21:1933.Google Scholar
Schaffner, Kenneth (1974), “Reductionism in Biology: Prospects and Problems”, in PSA 1974: Proceedings of the 1974 Biennial Meeting of the Philosophy of Science Association. East Lansing, MI: Philosophy of Science Association, 613632.Google Scholar
Schindler, Samuel (2007), “Rehabilitating Theory: Refusal of the ‘Bottom-Up’ Construction of Scientific Phenomena”, Rehabilitating Theory: Refusal of the ‘Bottom-Up’ Construction of Scientific Phenomena 38:160184.Google Scholar
Schroeder, Daniel (2000), An Introduction to Thermal Physics. New York: Addison-Wesley.Google Scholar
Sklar, Lawrence (1993), Physics and Chance. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Sklar, Lawrence (2000), Theory and Truth. Oxford: Oxford University Press.Google Scholar
Stanley, Eugene H. (1971), Introduction to Phase Transitions and Critical Phenomena. Oxford: Oxford University Press.Google Scholar
Steiner, Mark (1978), “Mathematics, Explanation and Scientific Knowledge”, Mathematics, Explanation and Scientific Knowledge 12:1728.Google Scholar
Steiner, Mark (1998), The Applicability of Mathematics as a Philosophical Problem. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Steiner, Mark (2005), “Mathematics—Application and Applicability”, in Shapiro, Stewart (ed.), Oxford Handbook of Philosophy of Mathematics and Logic. Oxford: Oxford University Press.Google Scholar
Styer, Daniel (2004), “What Good Is the Thermodynamic Limit?”, What Good Is the Thermodynamic Limit? 72 (1): 2529. (erratum in American Journal of Physics 72 [8]: 1110).Google Scholar
Suarez, Mauricio (2005), “The Semantic View, Empirical Adequacy, and Application”, The Semantic View, Empirical Adequacy, and Application 37 (109): 2963..Google Scholar
Votsis, Ioannis (2009), “Data Meet Theory: Up Close and Inferentially Personal”, Synthese, forthcoming.CrossRefGoogle Scholar
Wigner, Eugene (1960), “The Unreasonable Effectiveness of Mathematics in the Natural Sciences”, The Unreasonable Effectiveness of Mathematics in the Natural Sciences 13:114.Google Scholar
Woodward, James (1989), “Data and Phenomena”, Data and Phenomena 79:393472.Google Scholar
Woodward, James (2000), “Data, Phenomena, and Reliability”, Data, Phenomena, and Reliability 67 (Proceedings): S163S179.Google Scholar
Woodward, James (2009), “Data and Phenomena: A Restatement and Defense”, Synthese, forthcoming.CrossRefGoogle Scholar
Yang, C. N. (1952), “The Spontaneous Magnetization of a Two-Dimensional Ising Model”, The Spontaneous Magnetization of a Two-Dimensional Ising Model 85: 808.Google Scholar
Yang, C. N., and Lee, T. D. (1952), “Statistical Theory of Equations of State and Phase Transitions. I. Theory of CondensationPhysical Review 87:404409.CrossRefGoogle Scholar