Abstract
In this review paper we describe the use of couplings in several different mathematical problems. We consider the total variation norm, maximal coupling and the \(\bar{d}\)-distance. We present a detailed proof of a result recently proved: the dual of the Ruelle operator is a contraction with respect to 1-Wasserstein distance. We also show the exponential convergence to equilibrium on the state space for finite state Markov chains when the transition matrix \(\mathscr {P}\) has all entries positive.
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Notes
- 1.
\(\varLambda =1\) if and only if J is constant on cylinders of length 1.
References
Austin, T.: Egodic Theory - Notes 11: Entropy, couplings and joinings. Lecture Notes - Courant Institute, NYU (2013)
Bressaud, X., Fernandez, R., Galves, A.: Decay of correlations for non-Holderian dynamics. a coupling approach. Electron. J. Probab. 4(3), 19 (1999). electronic
Bressaud, X., Fernandez, R., Galves, A.: Speed of \(\bar{d}\)-convergence for Markov approximations of chains with complete connections. a coupling approach, Stoch. Process. Appl. 83, 127–138 (1999)
Coelho, Z., Quas, A.: A criteria for \(\overline{d}\)-continuity. Trans. AMS 350(8), 3257–3268 (1998)
den Hollander, F.: Probability Theory: The Coupling Method. Leiden University, Lectures Notes - Mathematical Institute (2012)
Ellis, M.: Distances between two-state Markov Processes attainable by Markov Joinings, TAMS, vol. 241. (1978)
Fernandez, R., Ferrari, P., Galvez, A.: Coupling, Renewal and Perfect Simulation of Chains of Infinite Order, University of Rouen (2001)
Ferrari, P., Galves, A.: Construction of Stochastic Processes, Coupling and Regeneration, XIII Escuela Venezolana de Matematica
Galatolo, S., Pacifico, M.J.: Lorenz-like flows: exponential decay of correlations for the Poincar map, logarithm law, quantitative recurrence, ETDS 30, no. 6, 17031737. (2010)
Gallo, S., Lerasle, M., Takahashi, D.: Markov approximation of chains of infinte order in the \(\bar{d}\) metric. Markov Process. Relat. Fields 19(1), 51–82 (2013)
Glasner, E.: Ergodic Theory via Joinings. AMS, Providence (2003)
Hairer, M., Mattingly, J.: Spectral gaps in Wasserstein distance and the \(2\)-D stochastic Navier–Stokes equations. Ann. Probab. 36(6), 2050–2091 (2008)
Kloeckner, B.: Optimal transport and dynamics of expanding circle maps acting on measures. Ergod. Theory Dyn. Sys. 33(2), 529–548 (2013)
Kloeckner, B., Lopes, A.O., Stadlbauer, M.: Contraction in the Wassertein metric for some Markov Chains and applications for the dynamics of expanding maps. Nonlinearity 28(11), 4117–4137 (2015)
Levin, D., Perez, Y., Wilmer, E.: Markov Chains and Mixing Times. AMS, Providence (2008)
Lindvall, T.: Lectures on the Coupling Method. Dover, New York (1992)
Lopes, A., Lopes, S.: Introdução aos Processos Estocásticos para estudantes de Matemática, UFRGS (2015)
Parry, W., Pollicott, M.: Zeta functions and the periodic orbit structure of hyperbolic dynamics, Astérisque vol. 187–188 (1990)
Revuz, D., Yor, M.: Continuous Martingales and Brownian Motion. Springer, Berlin (1991)
Stadlbauer, M.: Coupling methods for random topological Markov chains, to appear in Ergodic Theory and Dynamical Systems
Sulku, H.: Explicit correlation bounds for expanding maps using the coupling method (2013)
Torrison, H.: Coupling, Stationary and Regeneration. Springer, Berlin (2000)
Villani, C.: Topics in Optimal Transportation. AMS, Providence (2003)
Villani, C.: Optimal Transport: Old and New. Springer, Berlin (2009)
Walkden, C.: Ergodic Theory, Lecture Notes University of Manchester (2014)
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Lopes, A.O. (2017). An Introduction to Coupling . In: Pinto, A., Zilberman, D. (eds) Modeling, Dynamics, Optimization and Bioeconomics II. DGS 2014. Springer Proceedings in Mathematics & Statistics, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-319-55236-1_15
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DOI: https://doi.org/10.1007/978-3-319-55236-1_15
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