On the Time Average of the Autocorrelation Function in Hamiltonian Dynamics
Pavle Saksida, Tomaz Prosen

TL;DR
This paper establishes a rigorous lower bound on the time-average of the autocorrelation function in Hamiltonian dynamics, relating it to conserved quantities and ergodic decompositions, and discusses improvements over previous bounds.
Contribution
It provides a new rigorous lower bound on the autocorrelation function's time-average in Hamiltonian systems, improving upon Mazur and Suzuki's bounds.
Findings
Derived a lower bound based on conserved quantities
Connected autocorrelation time averages to ergodic decompositions
Discussed improvements over previous bounds by Mazur and Suzuki
Abstract
Rigorous lower bound on the time-average of the autocorrelation function of an arbitrary L^1 observable is proven in terms of conserved quantities and ergodic decompositions of the Hamiltonian dynamics. Improvements with respect to the bounds given by Mazur and Suzuki are discussed.
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Taxonomy
TopicsQuantum chaos and dynamical systems · Markov Chains and Monte Carlo Methods
