This article establishes a natural physical path leading from "regular" Ornstein-Uhlenbeck dynamics to "anomalous" long-memory processes and, thereafter, to fractional Brownian motion. Considering a system composed of n different parts-each part conducting its own Ornstein-Uhlenbeck dynamics, and all parts being perturbed by a common external Lévy noise-we show that the collective system-dynamics, in the limit n-->infinity , converges to a temporal moving-average of the driving noise. The limiting moving-average process, in turn, can possess a long memory-in which case, when observed over large time scales, further yields fractional Brownian motion. The temporal correlation structure of the limiting moving-average process turns out to be determined by the structural statistical variability of the system's composing parts. Thus, the emergence of a long memory is a consequence of the intrinsic "quenched disorder" present at the system's formation epoch rather than the consequence of the external annealed disorder carried in continuously by the driving noise.
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http://dx.doi.org/10.1103/PhysRevE.79.021115 | DOI Listing |
Entropy (Basel)
December 2024
Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6500HB Nijmegen, The Netherlands.
Learning is a fundamental property of intelligent systems, observed across biological organisms and engineered systems. While modern intelligent systems typically rely on gradient descent for learning, the need for exact gradients and complex information flow makes its implementation in biological and neuromorphic systems challenging. This has motivated the exploration of alternative learning mechanisms that can operate locally and do not rely on exact gradients.
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December 2024
Department of Physics, College of Science and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
This manuscript explores the stability theory of several stochastic/random models. It delves into analyzing the stability of equilibrium states in systems influenced by standard Brownian motion and exhibit random variable coefficients. By constructing appropriate Lyapunov functions, various types of stability are identified, each associated with distinct stability conditions.
View Article and Find Full Text PDFActa Trop
January 2025
School of Mathematical Sciences, Tiangong University, Tianjin, 300387, PR China. Electronic address:
Given the rapid increase in climate change, investigating the impact of climate change on the transmission mechanism of tick-borne diseases is imperative. In order to fully capture the influence of the seasonal variation of temperature, environmental disturbances and the co-feeding transmission on the spread of tick-borne diseases, we propose a novel stochastic dynamical model that couples the mean-reverting Ornstein-Uhlenbeck temperature equation with periodic input to the tick-borne disease model. Through theoretical analysis, we derive sufficient conditions for the extinction of tick populations and the eradication of tick-borne diseases, as well as the stochastic persistence conditions of the system.
View Article and Find Full Text PDFPhys Rev E
October 2024
Department of Mathematics, City University of Hong Kong, Kowloon, Hong Kong, China.
We propose an efficient sensitivity analysis method for a wide class of colored-noise-driven interacting particle systems (IPSs). Our method is based on unperturbed simulations and significantly extends the Malliavin weight sampling method proposed by Szamel [Europhys. Lett.
View Article and Find Full Text PDFChaos
November 2024
Institute of Theoretical Physics, and Mark Kac Center for Complex Systems Research, Jagiellonian University, ul. St. Łojasiewicza 11, 30-348 Kraków, Poland.
The presence of noise in nonlinear dynamical systems can significantly change their properties. Here, we study the properties of a noise perturbed motion in a single-well potential of |x|n (n>0) type. We explore under what conditions the action of the Ornstein-Uhlenbeck noise induces bimodality of stationary states in static, single-well, power-law potentials.
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