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