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Markov-breaking and the emergence of long memory in Ornstein–Uhlenbeck systems

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Iddo Eliazar1 and Joseph Klafter2

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We consider a complex system composed of many non-identical parts where (i) the dynamics of each part are Ornstein–Uhlenbeck; (ii) all parts are driven by a common external Lévy noise; and (iii) the system's collective output is the averaged aggregate of the outputs of its parts. Whereas the dynamics on the 'microscopic' parts-level are Markov, the dynamics on the 'macroscopic' system-level are not Markov—and may display a long memory. Moreover, the universal temporal scaling limit of the system's output, in the presence of long memory, is fractional Brownian motion. The model presented is analytically tractable, and gives closed-form quantitative characterizations of both the Markov-breaking phenomenon and the emergence of long memory.


PACS

02.50.Ga Markov processes

05.40.Fb Random walks and Levy flights

05.40.Ca Noise

05.40.Jc Brownian motion

MSC

60J65 Brownian motion (See also 58J65)

60H40 White noise theory

60G50 Sums of independent random variables; random walks

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 12 (28 March 2008)

Received 24 January 2008, in final form 15 February 2008

Published 10 March 2008



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