Foundations of Complex Systems: Nonlinear Dynamics, by Gregoire Nicolis

By Gregoire Nicolis

Complexity is rising as a post-Newtonian paradigm for forthcoming a wide physique of phenomena of shock on the crossroads of actual, engineering, environmental, existence and human sciences from a unifying perspective. This ebook outlines the rules of contemporary complexity learn because it arose from the cross-fertilization of principles and instruments from nonlinear technology, statistical physics and numerical simulation. it truly is proven how those advancements result in an knowing, either qualitative and quantitative, of the advanced structures encountered in nature and in daily event and, conversely, how common complexity acts as a resource of notion for growth on the primary point.

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Additional resources for Foundations of Complex Systems: Nonlinear Dynamics, Statistical Physics, Information and Prediction: Nonlinear Dynamics, Statistical Physics, and Prediction

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It can be shown that these objects are generic, in the sense that they do not only arise at specific values of the control parameters. Finally, strange non-attracting sets constitute yet another generic class of fractal objects separating different attraction basins in certain classes of dynamical systems. Systems possessing such sets present the interesting property of final state sensitivity, discovered by James Yorke, Edward Ott and Kelso Gregobi, whereby the attractors to which a trajectory will evolve depend upon minute changes of the initial conditions.

This law is indicative of scaling behavior, in the sense that upon a change of scale a part of a fractal object, however small, will display the structure 34 Foundations of Complex Systems of the initial, full object. Scaling behavior is therefore exhibited not only in the somewhat abstract form of Hurst, Pareto or Zipf type laws, in which no reference whatsoever to “shape” is made, but is also ubiquitous in a wide variety of objects embedded in physical or in the phase space. To mark this difference one sometimes refers to these laws as fractal laws.

1, is then observed marking a preferential exploitation of one of the sources relative to the other, to its exhaustion (Fig. 8b). Thereafter the second source is fully colonized and its exploitation is intensified. When the colony is offered two sources with different sugar concentrations and the richest source is discovered before or at the same time as the poorer one, it is most heavily exploited. But when it is discovered after the poorer one, it is only weakly exploited. This establishes the primordial importance of the longrange cooperativity induced by the presence of the trail.

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