How statement and proof provenance work
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Harmonic BAOAB thermostat: exact position variance and kinetic bias
Example
Take a one-dimensional harmonic oscillator with mass , stiffness , inverse temperature , friction , and BAOAB step . The stability threshold is . The example concerns the exact stationary covariance of the discrete BAOAB chain, not Monte Carlo error from a finite trajectory.
Facts & Assumptions
Given: , , , , , and the harmonic BAOAB theorem.
The Axiom of Choice: AC is inherited through [F1]; the parameter substitution and arithmetic use no additional choice.
Verification
Given: , , , , , and the harmonic BAOAB theorem.
[F1] Exact invariant covariance and stability threshold for scalar harmonic BAOAB: when , and .
[A1] The Axiom of Choice: AC is inherited through [F1]; the parameter substitution and arithmetic use no additional choice.
Given: The parameter values in the Example.
Here , so is in the strict stable range of [F1]. The dimensionless quantity is .
The discrete stationary position variance is , exactly the canonical Gibbs position variance. The momentum variance is , whereas the continuous canonical value is , so the momentum bias is .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
20 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Benedict Leimkuhler and Charles Matthews, Rational Construction of Stochastic Numerical Methods for Molecular Sampling, §2 and Appendix (standard reference, not scraped)
- Jean-Noël Roux, Stéphane Rodts, and Gabriel Stoltz, Introduction à la physique statistique et à la physique quantique, §5.2.2 (standard reference, not scraped)