We derive non-asymptotic quantitative bounds for convergence to equilibrium of the exact preconditioned Hamiltonian Monte Carlo algorithm (pHMC) on a Hilbert space. As a consequence, explicit and dimension-free bounds for pHMC applied to high-dimensional distributions arising in transition path sampling and path integral molecular dynamics are given. Global convexity of the underlying potential energies is not required. Our results are based on a two-scale coupling which is contractive in a carefully designed distance.
CITATION STYLE
Bou-Rabee, N., & Eberle, A. (2021). Two-scale coupling for preconditioned Hamiltonian Monte Carlo in infinite dimensions. Stochastics and Partial Differential Equations: Analysis and Computations, 9(1), 207–242. https://doi.org/10.1007/s40072-020-00175-6
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