Last edited by Zulkirisar

Sunday, July 26, 2020 | History

2 edition of **behaviour of systems subject to random fluctuations.** found in the catalog.

behaviour of systems subject to random fluctuations.

A. V. Jones

- 281 Want to read
- 18 Currently reading

Published
**1981**
by Commission of the European Communities in Luxembourg
.

Written in English

**Edition Notes**

At head of title : Commission of the European Communities.

Series | Nuclear science and technology, EUR 7357 EN |

Contributions | Commission of the European Communities. |

ID Numbers | |
---|---|

Open Library | OL14934084M |

ISBN 10 | 0119383802 |

You can see below how random fluctuations in performance could be misconstrued as a validation of this punishment. In this simulated season, the . Positive feedback can have an effect of amplifying small and random fluctuations into unpredictable and wild swings in the overall system behaviour, which would then be considered chaotic. Negative feedback makes a system more predictable by supressing the effect of such swings and fluctuations.

Propagation of coherent radiation through inhomogeneous media with random fluctuations of local optical characteristics results in the formation of an optical wave that is characterized by random temporal and spatial distributions of its parameters such as intensity, phase, and, in general cases, its state of polarization. Ecology (from Greek: οἶκος, "house", or "environment"; -λογία, "study of") is a branch of biology concerning interactions among organisms and their biophysical environment, which includes both biotic and abiotic components. Topics of interest include the biodiversity, distribution, biomass, and populations of organisms, as well as cooperation and competition within and between species.

Introduction. Cellular processes are subject to random fluctuations (or noise) in quantities of interacting molecules. Cells may take advantage of noise to achieve diverse functions,.In a mechanism called stochastic resonance, noise may improve detection of weak periodic input signals, whereas stochastic focusing may turn a gradual response into a threshold-like response. Dual inheritance theory (DIT), also known as gene–culture coevolution or biocultural evolution, was developed in the s through early s to explain how human behavior is a product of two different and interacting evolutionary processes: genetic evolution and cultural and culture continually interact in a feedback loop, changes in genes can lead to changes in culture.

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Nonlinear System Analysis focuses on the study of systems whose behavior is governed by nonlinear differential equations.

This book is composed of nine chapters that cover some problems that play a major role in engineering and physics.

The opening chapter briefly introduces the difference between linear and nonlinear systems. This special issue is devoted to select and gather relevant contributions addressed to introduce new techniques for study complex systems driven by random fluctuations. Contributions are expected to provide new insights by combining discrete/continuous models with uncertainty and computational techniques.

Interdisciplinary applications are particularly welcome. Special Issue on Complex systems driven by random fluctuations: from discrete to continuous stochastic models The realm of complex systems strives for modeling the collective overall behavior of nonlinear interactions of many individuals (understood in a wide sense).

A random fluctuation also called “noise,” is a characteristic of all physical systems in nature. In most of the scientific fields, noise is considered as apparently irregular or periodic chaotic.

1. Introduction. Stochastic effects have long been realized to influence complex systems in physical sciences.It becomes more and more evident that random fluctuations behaviour of systems subject to random fluctuations.

book be responsible for some phenomena in biological and biomedical sciences.Indeed, biological systems are often under the influence of uncertainties, such as fluctuating forces, uncertain experimental parameters, Cited by: 3.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper deals with a First-Come, First-Served (FCFS) queueing model to analyze the steady-state behaviour of heterogeneous finite-source queueing system with a single server.

The request sources and the server are supposed to operate in random environments, thus allowing the arrival and service processes to. Random perturbations may decisively affect the long-term behavior of dynamical systems.

Random effects are modeled by the addition of Gaussian white noise to the system. The resulting diffusion equation is solved asymptotically, when the strength of the noise is. In this chapter, system entropy is determined for the first time for stochastic biological networks, and a computation method is proposed to measure the system entropy of nonlinear stochastic biological networks that are subject to intrinsic random fluctuations and environmental disturbances.

Natural systems are undeniably subject to random fluctuations, arising from either environmental variability or thermal effects. The consideration of those fluctuations supposes to deal with noisy quantities whose variance might at times be a sizable fraction of their mean levels. It is known that, under these conditions, noisy fluctuations can interact with the system’s nonlinearities to.

The asymptotic dynamics of random Boolean networks subject to random fluctuations is investigated. Under the influence of noise, the system can escape from the attractors of the deterministic model, and a thorough study of these transitions is presented.

Statistical mechanics, one of the pillars of modern physics, describes how macroscopic observations (such as temperature and pressure) are related to microscopic parameters that fluctuate around an connects thermodynamic quantities (such as heat capacity) to microscopic behavior, whereas, in classical thermodynamics, the only available option would be to measure and tabulate such.

Here, circular causality is induced by separating the states of a random dynamical system into external and internal states, where external states are subject to random fluctuations and internal states are not.

This reduces the problem to finding some (deterministic) dynamics of the internal states that ensure the system visits a limited number. Invariant manifolds provide geometric structures for understanding dynamical behavior of nonlinear systems. However, these nonlinear systems are often subject to random fluctuations or noises.

It is thus desirable to quantify the impact of noises on the invariant manifolds. When the noise intensity is small, this impact is estimated via asymptotic analysis in the context of Liapunov–Perron. Random noise, and its effect on physical systems, has always been an interdisciplinary subject.

Using the study of fluctuations as a unifying theme. Dynamical behavior of a competitive system under the influence of random disturbance and toxic substances Article in Nonlinear Dynamics 77(4) September with 24 Reads. In statistical mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation ation functions describe how microscopic variables, such as spin and density, at different positions are related.

More specifically, correlation functions quantify how microscopic variables co-vary with one another on average across space and time. Networks can be subject to random fluctuations, i.e.

noise: for example, consider our power network, the electrical grid of supply and demand. In the case of a power grid, the integration of more and more renewable energy sources results in random fluctuations of the generator power. “An Impact of noise on invariant manifolds in dynamical systems.” Invariant manifolds provide geometric structures for understanding dynamical behavior of nonlinear systems.

However, these nonlinear systems are often subject to random fluctuations or noises. It is thus desirable to quantify the impact of noises on the invariant manifolds. In systems theory, a system or a process is in a steady state if the variables (called state variables) which define the behavior of the system or the process are unchanging in time.

In continuous time, this means that for those properties p of the system, the partial derivative with respect to time is zero and remains so: ∂ ∂. In discrete time, it means that the first difference of each. Request PDF | Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters | In spite of its simple formulation via a nonlinear.

This paper describes a free energy principle that tries to explain the ability of biological systems to resist a natural tendency to disorder. It appeals to circular causality of the sort found in synergetic formulations of self-organization (e.g., the slaving principle) and models of coupled dynamical systems, using nonlinear Fokker Planck equations.CHAPTER 4 RANDOM SIGNALS CHAPTER OBJECTIVES On completion of this chapter, the reader should be able to 1.

differentiate between random and deterministic signals; 2. explain the fundamental principles - Selection from Digital Signal Processing Using MATLAB for Students and Researchers [Book].

The Mueller probe and the Ukraine impeachment scandal that followed it are the subject of Toobin’s new book, news came out in an almost random order. is a pattern of Trump’s behaviour.