Abstract: Hierarchical model of defects development makes possible the consideration of both ordinary and self-organized criticality from the common viewpoint. Scale invariant critical state in this model is presented by fixed points of a renormalization transformation, connected with lifting to the next level of hierarchy. So stable fixed points of the transformation correspond to the self-organized criticality and unstable points correspond to the ordinary one. We supplement the renormalizational approach to the critical state with the dynamical one, which is more usual to the theory of self-organized criticality. We show that singular disturbances at the lowest level of hierarchical system result in the power-law distributed re...
We review some results on the critical phenomena in the Dyson hierarchical model and renormalisation...
We show that a notable fraction of numerical and experimental works claiming the observation of sel...
Contents 1 Introduction 5 1.1 Imitation and Synchronisation . . . . . . . . . . . . . . . . . . . ...
Power laws and distributions with heavy tails are common features of many complex systems. Examples ...
The dynamics of the renormalization-group transformation in the coupling-constant space of the fermi...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
We consider a simple hierarchical renormalization model which was introduced in the study of depinni...
We describe the global behaviour of stable invariant curves of renormalization group transformation ...
After the remarkable discoveries in equilibrium critical phenomena and the development of the Renorm...
In this paper we investigated the extension of the renormalization group (RG) method to self-organiz...
Critical Phenomena play a fundamental role in the modern physics. Critical behavior is characterized...
The effect of inhomogeneous couplings on the scaling behavior in critical phenomena is considered us...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
Certain driven systems consisting of a large number of elements evolve towards a critical state wit...
We introduce a renormalization scheme of a type that is able to describe the self-organized critical...
We review some results on the critical phenomena in the Dyson hierarchical model and renormalisation...
We show that a notable fraction of numerical and experimental works claiming the observation of sel...
Contents 1 Introduction 5 1.1 Imitation and Synchronisation . . . . . . . . . . . . . . . . . . . ...
Power laws and distributions with heavy tails are common features of many complex systems. Examples ...
The dynamics of the renormalization-group transformation in the coupling-constant space of the fermi...
Different microscopic models exhibiting self-organized criticality are studied numerically and analy...
We consider a simple hierarchical renormalization model which was introduced in the study of depinni...
We describe the global behaviour of stable invariant curves of renormalization group transformation ...
After the remarkable discoveries in equilibrium critical phenomena and the development of the Renorm...
In this paper we investigated the extension of the renormalization group (RG) method to self-organiz...
Critical Phenomena play a fundamental role in the modern physics. Critical behavior is characterized...
The effect of inhomogeneous couplings on the scaling behavior in critical phenomena is considered us...
According to Kadanoff, self-organized criticality (SOC) implies the operation of a feedback mechanis...
Certain driven systems consisting of a large number of elements evolve towards a critical state wit...
We introduce a renormalization scheme of a type that is able to describe the self-organized critical...
We review some results on the critical phenomena in the Dyson hierarchical model and renormalisation...
We show that a notable fraction of numerical and experimental works claiming the observation of sel...
Contents 1 Introduction 5 1.1 Imitation and Synchronisation . . . . . . . . . . . . . . . . . . . ...