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Statistical physics of synchronization

Campa, Alessandro.

Statistical physics of synchronization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical physics of synchronizationby Shamik Gupta, Alessandro Campa, Stefano Ruffo.
作者:	Gupta, Shamik.
其他作者:	Campa, Alessandro.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xvi, 121 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Statistical physics.
電子資源:	https://doi.org/10.1007/978-3-319-96664-9
ISBN:	9783319966649$q(electronic bk.)

Statistical physics of synchronization
Gupta, Shamik.

Statistical physics of synchronization[electronic resource] /by Shamik Gupta, Alessandro Campa, Stefano Ruffo. - Cham :Springer International Publishing :2018. - xvi, 121 p. :ill., digital ;24 cm. - SpringerBriefs in complexity,2191-5326. - SpringerBriefs in complexity..

Synchronizing systems -- Introduction -- The oscillators and their interaction: A qualitative discussion -- Oscillators as limit cycles -- Interacting limit-cycle oscillators -- Synchronizing systems as statistical mechanical systems -- The features of a statistical physical description -- Some results for noiseless interacting oscillators -- The oscillators with inertia -- Appendix 1: A two-dimensional dynamics with a limit-cycle attractor -- Appendix 2: The Lyapunov exponents -- Appendix 3: The one-body distribution function in an N-body system -- Oscillators with first-order dynamics -- The oscillators with distributed natural frequencies -- The Kuramoto model -- Unimodal symmetric g(w) -- Nonunimodal g(w) -- Appendix 1: An H-theorem for a particular simple case -- Appendix 2: Form of the function r(K) for symmetric and unimodal frequency distributions in the Kuramoto model -- Appendix 3: The numerical solution of Eq. (2.34) -- Oscillators with second-order dynamics -- Generalized Kuramoto model with inertia and noise -- Nonequilibrium first-order synchronization phase transition: Simulation results -- Analysis in the continuum limit: The Kramers equation -- Phase diagram: Comparison with numeric -- Appendix 1: The noiseless Kuramoto model with inertia: Connection with electrical power distribution models -- Appendix 2: Proof that the dynamics (3.9) does not satisfy detailed balance -- Appendix 3: Simulation details for the dynamics (3.9) -- Appendix 4: Derivation of the Kramers equation -- Appendix 5: Nature of solutions of Eq. (3.32) -- Appendix 6: Solution of the system of equations (3.39) -- Appendix 7: Convergence properties of the expansion (3.38)

This book introduces and discusses the analysis of interacting many-body complex systems exhibiting spontaneous synchronization from the perspective of nonequilibrium statistical physics. While such systems have been mostly studied using dynamical system theory, the book underlines the usefulness of the statistical physics approach to obtain insightful results in a number of representative dynamical settings. Although it is intractable to follow the dynamics of a particular initial condition, statistical physics allows to derive exact analytical results in the limit of an infinite number of interacting units. Chapter one discusses dynamical characterization of individual units of synchronizing systems as well as of their interaction and summarizes the relevant tools of statistical physics. The latter are then used in chapters two and three to discuss respectively synchronizing systems with either a first- or a second-order evolution in time. This book provides a timely introduction to the subject and is meant for the uninitiated as well as for experienced researchers working in areas of nonlinear dynamics and chaos, statistical physics, and complex systems.

ISBN: 9783319966649$q(electronic bk.)

Standard No.: 10.1007/978-3-319-96664-9doiSubjects--Topical Terms:

183716
Statistical physics.

LC Class. No.: QC174.8 / .G878 2018

Dewey Class. No.: 530.13

Statistical physics of synchronization
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245 1 0 $a Statistical physics of synchronization $h [electronic resource] / $c by Shamik Gupta, Alessandro Campa, Stefano Ruffo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xvi, 121 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in complexity, $x 2191-5326
505 0 $a Synchronizing systems -- Introduction -- The oscillators and their interaction: A qualitative discussion -- Oscillators as limit cycles -- Interacting limit-cycle oscillators -- Synchronizing systems as statistical mechanical systems -- The features of a statistical physical description -- Some results for noiseless interacting oscillators -- The oscillators with inertia -- Appendix 1: A two-dimensional dynamics with a limit-cycle attractor -- Appendix 2: The Lyapunov exponents -- Appendix 3: The one-body distribution function in an N-body system -- Oscillators with first-order dynamics -- The oscillators with distributed natural frequencies -- The Kuramoto model -- Unimodal symmetric g(w) -- Nonunimodal g(w) -- Appendix 1: An H-theorem for a particular simple case -- Appendix 2: Form of the function r(K) for symmetric and unimodal frequency distributions in the Kuramoto model -- Appendix 3: The numerical solution of Eq. (2.34) -- Oscillators with second-order dynamics -- Generalized Kuramoto model with inertia and noise -- Nonequilibrium first-order synchronization phase transition: Simulation results -- Analysis in the continuum limit: The Kramers equation -- Phase diagram: Comparison with numeric -- Appendix 1: The noiseless Kuramoto model with inertia: Connection with electrical power distribution models -- Appendix 2: Proof that the dynamics (3.9) does not satisfy detailed balance -- Appendix 3: Simulation details for the dynamics (3.9) -- Appendix 4: Derivation of the Kramers equation -- Appendix 5: Nature of solutions of Eq. (3.32) -- Appendix 6: Solution of the system of equations (3.39) -- Appendix 7: Convergence properties of the expansion (3.38)
520 $a This book introduces and discusses the analysis of interacting many-body complex systems exhibiting spontaneous synchronization from the perspective of nonequilibrium statistical physics. While such systems have been mostly studied using dynamical system theory, the book underlines the usefulness of the statistical physics approach to obtain insightful results in a number of representative dynamical settings. Although it is intractable to follow the dynamics of a particular initial condition, statistical physics allows to derive exact analytical results in the limit of an infinite number of interacting units. Chapter one discusses dynamical characterization of individual units of synchronizing systems as well as of their interaction and summarizes the relevant tools of statistical physics. The latter are then used in chapters two and three to discuss respectively synchronizing systems with either a first- or a second-order evolution in time. This book provides a timely introduction to the subject and is meant for the uninitiated as well as for experienced researchers working in areas of nonlinear dynamics and chaos, statistical physics, and complex systems.
650 0 $a Statistical physics. $3 183716
650 0 $a Synchronization. $3 226631
650 1 4 $a Statistical Physics and Dynamical Systems. $3 760415
650 2 4 $a Complexity. $3 274400
650 2 4 $a Mathematical Physics. $3 522725
700 1 $a Campa, Alessandro. $3 822582
700 1 $a Ruffo, Stefano. $3 822583
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773 0 $t Springer eBooks
830 0 $a SpringerBriefs in complexity. $3 557824
856 4 0 $u https://doi.org/10.1007/978-3-319-96664-9
950 $a Physics and Astronomy (Springer-11651)