Abstract
Moment closure methods appear in myriad scientific disciplines in the modelling of complex systems. The goal is to achieve a closed form of a large, usually even infinite, set of coupled differential (or difference) equations. Each equation describes the evolution of one “moment”, a suitable coarse-grained quantity computable from the full state space. If the system is too large for analytical and/or numerical methods, then one aims to reduce it by finding a moment closure relation expressing “higher-order moments” in terms of “lower-order moments”. In this brief review, we focus on highlighting how moment closure methods occur in different contexts. We also conjecture via a geometric explanation why it has been difficult to rigorously justify many moment closure approximations although they work very well in practice.
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Acknowledgments
I would like to thank the Austrian Academy of Science (ÖAW) for support via an APART Fellowship and the EU/REA for support via a Marie-Curie Integration Re-Integration Grant. Support by the Collaborative Research Center 910 of the German Science Foundation (DFG) to attend the “International Conference on Control of Self-Organizing Nonlinear Systems” in 2014 is also gratefully acknowledged. Furthermore, I would like to thank Thomas Christen, Thilo Gross, Thomas House and an anonymous referee for very helpful feedback on various preprint versions of this chapter.
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Kuehn, C. (2016). Moment Closure—A Brief Review. In: Schöll, E., Klapp, S., Hövel, P. (eds) Control of Self-Organizing Nonlinear Systems. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-28028-8_13
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