Monte Carlo transition dynamics and variance reduction

For Metropolis Monte Carlo simulations in statistical physics, efficient, e asy-to-implement, and unbiased statistical estimators of thermodynamic prop erties are based on the transition dynamics. Using an Ising model example, we demonstrate (problem-specific) variance reductions compared to conventio nal histogram estimators. A proof of variance reduction in a microstate lim it is presented.