2004
DOI: 10.1103/physrevlett.92.254101
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Noise-Induced Macroscopic Bifurcations in Globally Coupled Chaotic Units

Abstract: Large populations of globally-coupled identical maps subjected to independent additive noise are shown to undergo qualitative changes as the features of the stochastic process are varied. We show that for strong coupling, the collective dynamics can be described in terms of a few effective macroscopic degrees of freedom, whose deterministic equations of motion are systematically derived through an order parameter expansion.

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Cited by 20 publications
(23 citation statements)
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“…Such non-trivial collective behavior (NTCB) is now known to be quite generic, being observed whether interactions are local or global, time variable is discrete or continuous [5][6][7][8], and evolution is deterministic or noisy [9][10][11]. One of the most interesting features of NTCB is that microscopic chaos can coexist with macroscopic evolutions of different instability -periodic, quasi-periodic, and even chaotic in the case of global coupling [4,12].…”
Section: Introductionmentioning
confidence: 99%
“…Such non-trivial collective behavior (NTCB) is now known to be quite generic, being observed whether interactions are local or global, time variable is discrete or continuous [5][6][7][8], and evolution is deterministic or noisy [9][10][11]. One of the most interesting features of NTCB is that microscopic chaos can coexist with macroscopic evolutions of different instability -periodic, quasi-periodic, and even chaotic in the case of global coupling [4,12].…”
Section: Introductionmentioning
confidence: 99%
“…To study the collective behavior directly, the return map is employed [12,13], and the relationship between the SMLE and return map is compared. The arithmetic average of the state value of every lattice in the subsystem is expressed as…”
Section: Return Map For Collective Behavior Of Subsystem Versus Smlementioning
confidence: 99%
“…Section 6 summarizes the main results of the paper, discusses the perspectives of our method and points to a number of possible applications. Part of our results have been presented in [9].…”
Section: Introductionmentioning
confidence: 99%
“…We present an analytical method for deriving the collective behavior from the single element dynamics and the statistical features of the microscopic disorder [9]. Expanding in series the equation of motion of the "mean-field" (i.e.…”
Section: Introductionmentioning
confidence: 99%