Response of Complex Systems to Complex Perturbations: the Complexity Matching Effect
| dc.creator | Allegrini, Paolo | |
| dc.creator | Bologna, Mauro | |
| dc.creator | Grigolini, Paolo | |
| dc.creator | West, Bruce J. | |
| dc.date | 2006-12-12 | |
| dc.date.accessioned | 2026-07-07T06:41:54Z | |
| dc.date.available | 2026-07-07T06:41:54Z | |
| dc.description | The dynamical emergence (and subsequent intermittent breakdown) of collective behavior in complex systems is described as a non-Poisson renewal process, characterized by a waiting-time distribution density $ψ(τ)$ for the time intervals between successively recorded breakdowns. In the intermittent case $ψ(t)\sim t^{-μ}$, with complexity index $μ$. We show that two systems can exchange information through complexity matching and present theoretical and numerical calculations describing a system with complexity index $μ_{S}$ perturbed by a signal with complexity index $μ_{P}$. The analysis focuses on the non-ergodic (non-stationary) case $μ\leq 2$ showing that for $μ_{S}\geq μ_{P}$, the system $S$ statistically inherits the correlation function of the perturbation $P$. The condition $μ_{P}=μ_{S}$ is a resonant maximum for correlation information exchange. | |
| dc.description | 4 pages, 1 figure | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0612303 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0612303 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/101844 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Response of Complex Systems to Complex Perturbations: the Complexity Matching Effect | |
| dc.type | text |