Within the framework of Von Neumann's expanding model, we study the maximum growth rate achievable by an autocatalytic reaction network in which reactions involve a finite (fixed or fluctuating) number D of reagents. 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 () to an expanding regime (). These results extend the scenario derived in the fully connected model (D → ∞), 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 shrinks as the connectivity increases. © IOP Publishing Ltd.

Von Neumann's expanding model on random graphs / De Martino, A.; Martelli, C.; Monasson, R.; Perez Castillo, I.. - In: JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT. - ISSN 1742-5468. - 2007:5(2007), pp. P05012-P05012. [10.1088/1742-5468/2007/05/P05012]

Von Neumann's expanding model on random graphs

De Martino A.;
2007

Abstract

Within the framework of Von Neumann's expanding model, we study the maximum growth rate achievable by an autocatalytic reaction network in which reactions involve a finite (fixed or fluctuating) number D of reagents. 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 () to an expanding regime (). These results extend the scenario derived in the fully connected model (D → ∞), 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 shrinks as the connectivity increases. © IOP Publishing Ltd.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2976756