Ergodic hypothesis: Difference between revisions

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:<math>\lim_{T \rightarrow \infty} \overline{O}_T (\{q_0(t)\},\{p_0(t)\}) = \langle O \rangle_\mu.</math>
:<math>\lim_{T \rightarrow \infty} \overline{O}_T (\{q_0(t)\},\{p_0(t)\}) = \langle O \rangle_\mu.</math>


A restatement of the ergodic hypothesis is to say that all allowed states are equally probable.
A restatement of the ergodic hypothesis is to say that all allowed states are equally probable. This holds true if
the ''metrical transitivity'' of general [[Hamiltonian]] systems holds true.
==See also==
==See also==
*[[Markov chain]]
*[[Markov chain]]

Revision as of 13:14, 14 August 2007

The Ergodic hypothesis essentially states that an ensemble average (i.e. an instance of a Monte Carlo simulation) of an observable, is equivalent to the time average, of an observable (i.e. molecular dynamics). i.e.

A restatement of the ergodic hypothesis is to say that all allowed states are equally probable. This holds true if the metrical transitivity of general Hamiltonian systems holds true.

See also

References

  1. George D. Birkhoff, "Proof of the Ergodic Theorem", PNAS 17 pp. 656-660 (1931)
  2. J. V. Neumann "Proof of the Quasi-ergodic Hypothesis", PNAS 18 pp. 70-82 (1932)
  3. J. V. Neumann "Physical Applications of the Ergodic Hypothesis", PNAS 18 pp. 263-266 (1932)
  4. G. D. Birkhoff and B. O. Koopman "Recent Contributions to the Ergodic Theory", PNAS 18 pp. 279-282 (1932)
  5. Adrian Patrascioiu "The Ergodic-Hypothesis, A Complicated Problem in Mathematics and Physics", Los Alamos Science, 15 pp. 263- (1987)