A self-averaging technique evolves parameters of a coarse-grained SDE alongside the dynamics itself so that selected microscopic observables are reproduced at convergence via Anosov-Kifer averaging.
These are the building blocks of the CG model (51) describing the dynamics of the heavy particles
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Self-averaging parameter estimation for coarse-grained particle models
A self-averaging technique evolves parameters of a coarse-grained SDE alongside the dynamics itself so that selected microscopic observables are reproduced at convergence via Anosov-Kifer averaging.