POINT-OCCURRENCE SELF-SIMILARITY IN CRACKLING-NOISE SYSTEMS AND IN OTHER COMPLEX SYSTEMS ´ALVARO CORRAL

ABSTRACT. It has been recently found that a number of systems displaying crackling noise also show a remarkable behavior regarding the temporal occur-rence of successive events versus their size: a scaling law for the probability dis-tributions of waiting times as a function of a minimum size is fulfilled, signaling the existence on those systems of self-similarity in time-size. This property is also present in some non-crackling systems. Here, the uncommon character of the scaling law is illustrated with simple marked renewal processes, built by def-inition with no correlations. Whereas processes with a finite mean waiting time do not fulfill a scaling law in general and tend towards a Poisson process in the limit of very high sizes, processes without a finite mean tend to another class of distributions, characterized by double power-law waiting-time densities. This is somehow reminiscent of the generalized central limit theorem. A model with short-range correlations is not able to escape from the attraction of those limit distributions. A discussion on open problems in the modeling of these properties is provided. 1