We consider a particular class of self-organized critical models. For these systems we show that the Lyapunov exponent is strictly lower than zero. That allows us to describe the dynamics in terms of a piecewise linear contractive map. We describe the physical mechanisms underlying the approach to the recurrent set in the configuration space and we discuss the structure of the attractor for the dynamics. Finally the problem of the chaoticity of these systems and the definition of a predictability are addressed
The iterative map xn+1 = rnxn„ (1-xn) is investigated with rn changing periodically between two valu...
Proceedings, pp. 485—493 Our recent interest is focused on establishing the necessary and sufficient...
In this chapter, we first precise the concept of dynamical systems, and then we introduce the concep...
Blanchard P, Cessac B, Krüger T. What can one learn about self-organized criticality from dynamical ...
A method for characterizing the predictability of complex chaotic systems based on a generalization ...
Different aspects of the predictability problem in dynamical systems are reviewed. The deep relation...
Every forecast should include an estimate of its likely accuracy, a current measure of predictabilit...
Critical transitions occur in a variety of dynamical systems. Here we employ quantifiers of chaos to...
The predictability problem for systems with different characteristic timescales is investigated. It ...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
10 pages, proceeding of the conference "Fractales en progres", Paris 12-13 NovemberInternational aud...
We study the probability densities of finite-time or local Lyapunov exponents in low-dimensional cha...
AbstractMathematical framework is given to “resolved chaos” studied numerically by Vandermeer in pop...
Cyclicality and instability inherent in the economy can manifest themselves in irregular fluctuation...
The iterative map xn+1 = rnxn„ (1-xn) is investigated with rn changing periodically between two valu...
Proceedings, pp. 485—493 Our recent interest is focused on establishing the necessary and sufficient...
In this chapter, we first precise the concept of dynamical systems, and then we introduce the concep...
Blanchard P, Cessac B, Krüger T. What can one learn about self-organized criticality from dynamical ...
A method for characterizing the predictability of complex chaotic systems based on a generalization ...
Different aspects of the predictability problem in dynamical systems are reviewed. The deep relation...
Every forecast should include an estimate of its likely accuracy, a current measure of predictabilit...
Critical transitions occur in a variety of dynamical systems. Here we employ quantifiers of chaos to...
The predictability problem for systems with different characteristic timescales is investigated. It ...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
10 pages, proceeding of the conference "Fractales en progres", Paris 12-13 NovemberInternational aud...
We study the probability densities of finite-time or local Lyapunov exponents in low-dimensional cha...
AbstractMathematical framework is given to “resolved chaos” studied numerically by Vandermeer in pop...
Cyclicality and instability inherent in the economy can manifest themselves in irregular fluctuation...
The iterative map xn+1 = rnxn„ (1-xn) is investigated with rn changing periodically between two valu...
Proceedings, pp. 485—493 Our recent interest is focused on establishing the necessary and sufficient...
In this chapter, we first precise the concept of dynamical systems, and then we introduce the concep...