Article Outline
Glossary
Definition of the Subject
Introduction
Warming Up: Thermodynamic Formalism for Finite Systems
Shift Spaces, Invariant Measures and Entropy
The Variational Principle: A Global Characterization of Equilibrium
The Gibbs Property: A Local Characterization of Equilibrium
Examples on Shift Spaces
Examples from Differentiable Dynamics
Nonequilibrium Steady States and Entropy Production
Some Ongoing Developments and Future Directions
Bibliography
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Abbreviations
- Dynamical system:
-
In this article: a continuous transformation T of a compact metric space X. For each \({x\in X}\), the transformation T generates a trajectory \({(x,Tx,T^2x,\dots)}\).
- Invariant measure:
-
In this article: a probability measure μ on X which is invariant under the transformation T, i. e., for which \({\langle f\circ T,\mu\rangle=\langle f,\mu\rangle}\) for each continuous \({f\colon X\to\mathbb{R}}\). Here \({\langle f,\mu\rangle}\) is a short-hand notation for \({\int_X f\,\mathrm{d}\mu}\). The triple \({(X,T,\mu)}\) is called a measure‐preserving dynamical system.
- Ergodic theory:
-
Ergodic theory is the mathematical theory of measure‐preserving dynamical systems.
- Entropy:
-
In this article: the maximal rate of information gain per time that can be achieved by coarse-grained observations on a measure‐preserving dynamical system. This quantity is often denoted \({h(\mu)}\).
- Equilibrium state:
-
In general, a given dynamical system \({T\colon X\to X}\) admits a huge number of invariant measures. Given some continuous \({\phi \colon X\to\mathbb{R}}\) (“potential”), those invariant measures which maximize a functional of the form \({F(\mu)=h(\mu)+\langle \phi,\mu\rangle}\) are called “equilibrium states” for ϕ.
- Pressure:
-
The maximum of the functional \({F(\mu)}\) is denoted by \({P(\phi)}\) and called the “topological pressure” of ϕ, or simply the “pressure” of ϕ.
- Gibbs state:
-
In many cases, equilibrium states have a local structure that is determined by the local properties of the potential ϕ. They are called “Gibbs states”.
- Sinai–Ruelle–Bowen measure:
-
Special equilibrium or Gibbs states that describe the statistics of the attractor of certain smooth dynamical systems.
Bibliography
Baladi V (2000) Positive transfer operators and decay of correlations. Advanced Series in Nonlinear Dynamics, vol 16. World Scientific, Singapore
Bowen R (1970) Markov partitions for Axiom A diffeomorphisms. Amer J Math 92:725–747
Bowen R (1974/1975) Some systems with unique equilibrium states. Math Syst Theory 8:193–202
Bowen R (1974/75) Bernoulli equilibrium states for Axiom A diffeomorphisms. Math Syst Theory 8:289–294
Bowen R (1979) Hausdorff dimension of quasicircles. Inst Hautes Études Sci Publ Math 50:11–25
Bowen R (2008) Equilibrium states and the ergodic theory of Anosov diffeomorphisms. Lecture Notes in Mathematics, vol 470, 2nd edn (1st edn 1975). Springer, Berlin
Bowen R, Ruelle D (1975) The ergodic theory of Axiom A flows. Invent Math 29:181–202
Brudno AA (1983) Entropy and the complexity of the trajectories of a dynamical system. Trans Mosc Math Soc 2:127–151
Bruin H, Demers M, Melbourne I (2007) Existence and convergence properties of physical measures for certain dynamical systems with holes. Preprint
Bruin H, Keller G (1998) Equilibrium states for S‑unimodal maps. Ergodic Theory Dynam Syst 18(4):765–789
Bruin H, Todd M (2007) Equilibrium states for potentials with \({\text{sup } \varphi - \text{inf } \varphi < h_{top}(f)}\). Commun Math Phys doi:10.1007/s00220-0-008-0596-0
Bruin H, Todd M (2007) Equilibrium states for interval maps: the potential \({-t\log |Df|}\). Preprint
Buzzi J, Sarig O (2003) Uniqueness of equilibrium measures for countable Markov shifts and multidimensional piecewise expanding maps. Ergod Theory Dynam Syst 23(5):1383–1400
Chaitin GJ (1987) Information, randomness & incompleteness. Papers on algorithmic information theory. World Scientific Series in Computer Science, vol 8. World Scientific, Singapore
Chernov N (2002) Invariant measures for hyperbolic dynamical systems. In: Handbook of Dynamical Systems, vol 1A. North-Holland, pp 321–407
Coelho Z, Parry W (1990) Central limit asymptotics for shifts of finite type. Isr J Math 69(2):235–249
Dobrushin RL (1968) The description of a random field by means of conditional probabilities and conditions of its regularity. Theory Probab Appl 13:197–224
Dobrushin RL (1968) Gibbsian random fields for lattice systems with pairwise interactions. Funct Anal Appl 2:292–301
Dobrushin RL (1968) The problem of uniqueness of a Gibbsian random field and the problem of phase transitions. Funct Anal Appl 2:302–312
Dobrushin RL (1969) Gibbsian random fields. The general case. Funct Anal Appl 3:22–28
Eizenberg A, Kifer Y, Weiss B (1994) Large deviations for \({\mathbb{Z}^d}\)-actions. Comm Math Phys 164(3):433–454
Falconer K (2003) Fractal geometry. Mathematical foundations and applications, 2nd edn. Wiley, San Francisco
Fisher ME, Felderhof BU (1970) Phase transition in one‐dimensional clusterinteraction fluids: IA. Thermodynamics, IB. Critical behavior. II. Simple logarithmic model. Ann Phys 58:177–280
Fiebig D, Fiebig U-R, Yuri M (2002) Pressure and equilibrium states for countable state Markov shifts. Isr J Math 131:221–257
Fisher ME (1967) The theory of condensation and the critical point. Physics 3:255–283
Gallavotti G (1996) Chaotic hypothesis: Onsager reciprocity and fluctuation‐dissipation theorem. J Stat Phys 84:899–925
Gallavotti G, Cohen EGD (1995) Dynamical ensembles in stationary states. J Stat Phys 80:931–970
Gaspard P, Wang X-J (1988) Sporadicity: Between periodic and chaotic dynamical behaviors. In: Proceedings of the National Academy of Sciences USA, vol 85, pp 4591–4595
Georgii H-O (1988) Gibbs measures and phase transitions. In: de Gruyter Studies in Mathematics, 9. de Gruyter, Berlin
Gurevich BM, Savchenko SV (1998) Thermodynamic formalism for symbolic Markov chains with a countable number of states. Russ Math Surv 53(2):245–344
Hofbauer F (1977) Examples for the nonuniqueness of the equilibrium state. Trans Amer Math Soc 228:223–241
Israel R (1979) Convexity in the theory of lattice gases. Princeton Series in Physics. Princeton University Press
Jakobson M, Świątek (2002) One‐dimensional maps. In: Handbook of Dynamical Systems, vol 1A. North-Holland, Amsterdam, pp 321–407
Jaynes ET (1989) Papers on probability, statistics and statistical physics. Kluwer, Dordrecht
Jiang D, Qian M, Qian M-P (2000) Entropy production and information gain in Axiom A systems. Commun Math Phys 214:389–409
Katok A (2007) Fifty years of entropy in dynamics: 1958–2007. J Mod Dyn 1(4):545–596
Katok A, Hasselblatt B (1995) Introduction to the modern theory of dynamical systems. Encyclopaedia of Mathematics and its Applications, vol 54. Cambridge University Press, Cambridge
Keller G (1998) Equilibrium states in ergodic theory. In: London Mathematical Society Student Texts, vol 42. Cambridge University Press, Cambridge
Kifer Y (1990) Large deviations in dynamical systems and stochastic processes. Trans Amer Math Soc 321:505–524
Kolmogorov AN (1983) Combinatorial foundations of information theory and the calculus of probabilities. Uspekhi Mat Nauk 38:27–36
Lanford OE, Ruelle D (1969) Observables at infinity and states with short range correlations in statistical mechanics. Commun Math Phys 13:194–215
Lewis JT, Pfister C-E (1995) Thermodynamic probability theory: some aspects of large deviations. Russ Math Surv 50:279–317
Lind D, Marcus B (1995) An introduction to symbolic dynamics and coding. Cambridge University Press, Cambridge
Misiurewicz M (1976) A short proof of the variational principle for a \({\mathbb{Z}_{+}^{N}}\) action on a compact space. In: International Conference on Dynamical Systems in Mathematical Physics (Rennes, 1975), Astérisque, No. 40, Soc Math France, pp 147–157
Moulin-Ollagnier J (1985) Ergodic Theory and Statistical Mechanics. In: Lecture Notes in Mathematics, vol 1115. Springer, Berlin
Pesin Y (1997) Dimension theory in dynamical systems. Contemporary views and applications. University of Chicago Press, Chicago
Pesin Y, Senti S (2008) Equilibrium Measures for Maps with Inducing Schemes. J Mod Dyn 2(3):1–31
Pesin Y, Weiss (1997) The multifractal analysis of Gibbs measures: motivation, mathematical foundation, and examples. Chaos 7(1):89–106
Pollicott M (2000) Rates of mixing for potentials of summable variation. Trans Amer Math Soc 352(2):843–853
Pomeau Y, Manneville P (1980) Intermittent transition to turbulence in dissipative dynamical systems. Comm Math Phys 74(2):189–197
Rondoni L, Mejía-Monasterio C (2007) Fluctuations in nonequilibrium statistical mechanics: models, mathematical theory, physical mechanisms. Nonlinearity 20(10):R1–R37
Ruelle D (1968) Statistical mechanics of a one‐dimensional lattice gas. Commun Math Phys 9:267–278
Ruelle D (1973) Statistical mechanics on a compact set with \({\mathbb{Z}^\nu}\) action satisfying expansiveness and specification. Trans Amer Math Soc 185:237–251
Ruelle D (1976) A measure associated with Axiom A attractors. Amer J Math 98:619–654
Ruelle D (1982) Repellers for real analytic maps. Ergod Theory Dyn Syst 2(1):99–107
Ruelle D (1996) Positivity of entropy production in nonequilibrium statistical mechanics. J Stat Phys 85:1–23
Ruelle D (1998) Smooth dynamics and new theoretical ideas in nonequilibrium statistical mechanics. J Stat Phys 95:393–468
Ruelle D (2004) Thermodynamic formalism: The mathematical structures of equilibrium statistical mechanics. Second edition. Cambridge Mathematical Library. Cambridge University Press, Cambridge
Ruelle D (2003) Extending the definition of entropy to nonequilibrium steady states. Proc Nat Acad Sc 100(6):3054–3058
Sarig O (1999) Thermodynamic formalism for countable Markov shifts. Ergod Theory Dyn Syst 19(6):1565–1593
Sarig O (2001) Phase transitions for countable Markov shifts. Comm Math Phys 217(3):555–577
Sarig O (2003) Existence of Gibbs measures for countable Markov shifts. Proc Amer Math Soc 131(6):1751–1758
Seneta E (2006) Non‐negative matrices and Markov chains. In: Springer Series in Statistics. Springer
Sinai Ja G (1968) Markov partitions and C‑diffeomorphisms. Funct Anal Appl 2:61–82
Sinai Ja G (1972) Gibbs measures in ergodic theory. Russ Math Surv 27(4):21–69
Thaler M (1980) Estimates of the invariant densities of endomorphisms with indifferent fixed points. Isr J Math 37(4):303–314
Walters P (1975) Ruelle's operator theorem and g‑measures. Trans Amer Math Soc 214:375–387
Walters P (1992) Differentiability properties of the pressure of a continuous transformation on a compact metric space. J Lond Math Soc (2) 46(3):471–481
Wang X-J (1989) Statistical physics of temporal intermittency. Phys Rev A 40(11):6647–6661
Young L-S (1990) Large deviations in dynamical systems. Trans Amer Math Soc 318:525–543
Young L-S (2002) What are SRB measures, and which dynamical systems have them? Dedicated to David Ruelle and Yasha Sinai on the occasion of their 65th birthdays. J Statist Phys 108(5–6):733–754
Zinsmeister M (2000) Thermodynamic formalism and holomorphic dynamical systems. SMF/AMS Texts and Monographs, 2. American Mathematical Society
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Chazottes, JR., Keller, G. (2012). Pressure and Equilibrium States in Ergodic Theory . In: Meyers, R. (eds) Mathematics of Complexity and Dynamical Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1806-1_90
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