Literature DB >> 11800676

Mode-coupling theory for multiple-point and multiple-time correlation functions.

Ramses van Zon1, Jeremy Schofield.   

Abstract

We present a theoretical framework for higher-order correlation functions involving multiple times and multiple points in a classical, many-body system. Such higher-order correlation functions have attracted much interest recently in the context of various forms of multidimensional spectroscopy, and have found an intriguing application as proposed measures of dynamical heterogeneities in structural glasses. The theoretical formalism is based upon projection operator techniques that are used to isolate the slow time evolution of dynamical variables by expanding the slowly evolving component of arbitrary variables in an infinite, "multilinear" basis composed of the products of slow variables of the system. Using the formalism, a formally exact mode coupling theory is derived for multiple-point and multiple-time correlation functions. The resulting expressions for higher-order correlation functions are made tractable by applying a rigorous perturbation scheme, called the N-ordering method, which is exact for systems with finite correlation lengths in the thermodynamic limit. The theory is contrasted with standard mode coupling theories in which the noise or fluctuating force appearing in the generalized Langevin equation is assumed to be Gaussian, and it is demonstrated that the non-Gaussian nature of the fluctuating forces leads to important contributions to higher-order correlation functions. Finally, the higher-order correlation functions are evaluated analytically for an ideal gas system for which it is shown that the mode coupling theory is exact.

Year:  2001        PMID: 11800676     DOI: 10.1103/PhysRevE.65.011106

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Multidimensional Measures of Response and Fluctuations in Stochastic Dynamical Systems.

Authors:  Maksym Kryvohuz; Shaul Mukamel
Journal:  Phys Rev A       Date:  2012-10-12       Impact factor: 3.140

2.  Effective one-component model of binary mixture: molecular arrest induced by the spatially correlated stochastic dynamics.

Authors:  M Majka; P F Góra
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

  2 in total

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