Metastability and Low Lying Spectra¶in Reversible Markov Chains

By Anton Bovier, M. Eckhoff, V. Gayrard, M. Klein. 2000

254 citations recorded by the source corpus.

Abstract: We study a large class of reversible Markov chains with discrete state space and transition matrix PN. We define the notion of a set of metastable points as a subset of the state space ΓN such that (i) this set is reached from any point x∈ΓN without return to x with probability at least bN, while (ii) for any two points x, y in the metastable set, the probability T− 1x,y to reach y from x without return to x is smaller than aN− 1< bN. Under some additional non-degeneracy assumption, we show that in such a situation:(i) To each metastable point corresponds a metastable state, whose mean exit time can be computed precisely.(ii) To each metastable point corresponds one simple eigenvalue of 1 −PN which is essentially equal to the inverse mean exit time from this state. Moreover, these results imply very sharp uniform control of the deviation of the probability distribution of metastable exit times from the exponential distribution.

Subfields: Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c50d9026d43a17bb05c775ce8ba8711b73084d13

How researchers see this paper

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In Mathematical Physics

  1. C. Landim
  2. Laurent Miclo
  3. J. Beltr'an
  4. Frank No'e
  5. Wilhelm Huisinga
  6. Bernd Schmidt
  7. Christof Schutte
  8. Anton Bovier

In Statistical and Nonlinear Physics

  1. Frank No'e
  2. Christof Schutte
  3. J. Beltr'an
  4. Laurent Miclo
  5. Wilhelm Huisinga
  6. Anton Bovier
  7. Persi Diaconis
  8. C. Landim

In Statistics and Probability

  1. Frank No'e
  2. C. Landim
  3. J. Beltr'an
  4. Laurent Miclo
  5. Persi Diaconis
  6. Christof Schutte
  7. Gary Froyland
  8. Neil O'Connell

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