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.
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An ab initio mean-field method yields explicit expressions for the covariance function of fluctuations in the complex order parameter and the variance of its magnitude, expressed entirely in terms of model parameters, for both sub- and super-critical regimes.
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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.
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Mean-field approach to finite-size fluctuations in the Kuramoto-Sakaguchi model
An ab initio mean-field method yields explicit expressions for the covariance function of fluctuations in the complex order parameter and the variance of its magnitude, expressed entirely in terms of model parameters, for both sub- and super-critical regimes.