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Noise in Nonlinear Dynamical Systems: Volume 3, Experiments and Simulations
A specially written review of all areas of noise and nonlinear in natural environments.
Frank Moss (Edited by), P. V. E. McClintock (Edited by)
9780521118545, Cambridge University Press
Paperback, published 20 August 2009
296 pages
22.9 x 15.2 x 1.7 cm, 0.44 kg
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are subject to the fluctuations of their environments and also to internal fluctuations. It is nonlinear in the sense that the restoring force on a system displaced from equilibrium does not usually vary linearly with the size of the displacement. To calculate the properties of stochastic (noisy) nonlinear systems is in general extremely difficult, although considerable progress has been made in the past. The three volumes that make up Noise in Nonlinear Dynamical Systems comprise a collection of specially written authoritative reviews on all aspects of the subject, representative of all the major practitioners in the field. The third volume deals with experimental aspects of the study of noise in nonlinear dynamical systems. It covers noise-driven phenomena in superfluid helium, liquid crystals, lasers and optical bistability as well as the solution of stochastic equations by digital simulation and analogue experiment.
List of contributors
Preface
Introduction to volume three
1. The effects of coloured quadratic noise on a turbulent transition in liquid He II J. T. Tough
2. Electrohydrodynamic instability of nematic liquid crystals: growth process and influence of noise S. Kai
3. Suppression of electrohydrodynamic instabilities by external noise Helmut R. Brand
4. Coloured noise in dye laser fluctuations R. Roy, A. W. Yu and S. Zhu
5. Noisy dynamics in optically bistable systems E. Arimondo, D. Hennequin and P. Glorieux
6. Use of an electronic model as a guideline in experiments on transient optical bistability W. Lange
7. Computer experiments in nonlinear stochastic physics Riccardo Mannella
8. Analogue simulations of stochastic processes by means of minimum component electronic devices Leone Fronzoni
9. Analogue techniques for the study of problems in stochastic nonlinear dynamics P. V. E. McClintock and Frank Moss
Index.
Subject Areas: Nonlinear science [PBWR]