Mixing Rates of Ergodic Algorithms

J. C. Sprott
University of Wisconsin-Madison
Department of Physics
Madison, Wisconsin 53706, USA
E-mail: sprott@physics.wisc.edu

Received: 8 January 2024; in final form: 30 January 2024; accepted: 31 January 2024; published online: 19 February 2024

Abstract: In response to the 2024 Snook Prize Problem, this paper compares the mixing rates of six simple numerical algorithms that produce an ergodic Gaussian distribution of position and momentum for a one-dimensional harmonic oscillator. A hundred thousand initial conditions spread uniformly over the constant energy surface are used for each of the six systems. The time-dependent kurtosis serves as a measure of the mixing rate. By this criterion, the most rapid mixing occurs for the signum thermostat system with an optimally chosen parameter value.

Ref: J. C. Sprott, Computational Methods in Science and Technology 30, 5-9 (2024)

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