Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-03-13
Physics
Condensed Matter
Disordered Systems and Neural Networks
20 pages
Scientific paper
10.1088/1742-5468/2007/05/P05012
Within the framework of Von Neumann's expanding model, we study the maximum growth rate r achievable by an autocatalytic reaction network in which reactions involve a finite (fixed or fluctuating) number D of reagents. r is calculated numerically using a variant of the Minover algorithm, and analytically via the cavity method for disordered systems. As the ratio between the number of reactions and that of reagents increases the system passes from a contracting (r<1) to an expanding regime (r>1). These results extend the scenario derived in the fully connected model ($D\to\infinity$), with the important difference that, generically, larger growth rates are achievable in the expanding phase for finite D and in more diluted networks. Moreover, the range of attainable values of r shrinks as the connectivity increases.
Castillo Perez I.
Martelli Carlotta
Martino Alessandro de
Monasson Remi
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