Abstract
Let \(\Xi \) be an open and bounded subset of \({\mathbb {R}}^d\), and let \(F:\Xi \rightarrow {\mathbb {R}}\) be a twice continuously differentiable function. Denote by \(\Xi _N\) the discretization of \(\Xi \), \(\Xi _N = \Xi \cap (N^{-1} {\mathbb {Z}}^d)\), and denote by \(X_N(t)\) the continuous-time, nearest-neighbor, random walk on \(\Xi _N\) which jumps from \({\varvec{x}}\) to \({\varvec{y}}\) at rate \( e^{-(1/2) N [F({\varvec{y}}) - F({\varvec{x}})]}\). We examine in this article the metastable behavior of \(X_N(t)\) among the wells of the potential F.
Similar content being viewed by others
References
Beltrán, J., Landim, C.: Tunneling and metastability of continuous time Markov chains. J. Stat. Phys. 140, 1065–1114 (2010)
Beltrán, J., Landim, C.: Tunneling and metastability of continuous time Markov chains II. J. Stat. Phys. 149, 598–618 (2012)
Beltrán, J., Landim, C.: A Martingale approach to metastability. Probab. Theory Relat. Fields 161(1—-2), 267–307 (2015)
Landim, C.: A topology for limits of Markov chains. Stoch. Process. Appl. 125, 1058–1088 (2015)
Kramers, H.A.: Brownian motion in a field of force and the diffusion model of chemical reactions. Physica 7, 284–304 (1940)
Freidlin, M.I., Wentzell, A.D.: Random perturbations of dynamical systems, 2nd edn. Translated from the 1979 Russian original by Joseph Szücs. Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 260. Springer, New York (1998)
Galves, A., Olivieri, E., Vares, M.E.: Metastability for a class of dynamical systems subject to small random perturbations. Ann. Probab. 15, 1288–1305 (1987)
Bovier, A., Eckhoff, M., Gayrard, V., Klein, M.: Metastability in stochastic dynamics of disordered mean field models. Probab. Theory Relat. Fields 119, 99–161 (2001)
Bovier, A., Eckhoff, M., Gayrard, V., Klein, M.: Metastability and low-lying spectra in reversible Markov chains. Commun. Math. Phys. 228, 219–255 (2002)
Bovier, A., Eckhoff, M., Gayrard, V., Klein, M.: Metastability in reversible diffusion processes. I. Sharp asymptotics for capacities and exit times. J. Eur. Math. Soc. 6, 399–424 (2004)
Bovier, A., Gayrard, V., Klein, M.: Metastability in reversible diffusion processes. II. Precise asymptotics for small eigenvalues. J. Eur. Math. Soc. 7, 69–99 (2005)
Cameron, M., Vanden-Eijnden, E.: Flows in complex networks: theory, algorithms, and application to LennardJones cluster rearrangement. J. Stat. Phys. 156, 427–454 (2014)
Noé, F., Wu, H., Prinz, J.H., Plattner, N.: Projected and hidden Markov models for calculating kinetics and metastable states of complex molecules (2013). arxiv:1309.3220v1
Cassandro, M., Galves, A., Olivieri, E., Vares, M.E.: Metastable behavior of stochastic dynamics: a pathwise approach. J. Stat. Phys. 35, 603–634 (1984)
Weinan, E., Vanden-Eijnden, E.: Towards a theory of transition paths. J. Stat. Phys. 123, 503–523 (2006)
Metzner, P., Schütte, Ch., Vanden-Eijnden, E.: Transition path theory for Markov jump processes. SIAM Multiscale Model. Simul. 7, 1192–1219 (2009)
Avena, L., Gaudillière, A.: On some random forests with determinantal roots (2013). arXiv:1310.1723v3
Bianchi, A., Bovier, A., Ioffe, D.: Sharp asymptotics for metastability in the random field Curie–Weiss model. Electron. J. Probab. 14, 1541–1603 (2009)
Bianchi, A., Bovier, A., Ioffe, D.: Pointwise estimates and exponential laws in metastable systems via coupling methods. Ann. Probab. 40, 339–371 (2012)
Gaudillière, A.: Condenser physics applied to Markov chains: a brief introduction to potential theory (2009). arXiv:0901.3053
Acknowledgments
R. Misturini was supported by CAPES and CNPq-Brazil during the preparation of this work, and K. Tsunoda was supported by the Program for Leading Graduate Course for Frontiers of Mathematical Sciences and Physics.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Landim, C., Misturini, R. & Tsunoda, K. Metastability of Reversible Random Walks in Potential Fields. J Stat Phys 160, 1449–1482 (2015). https://doi.org/10.1007/s10955-015-1298-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10955-015-1298-6