Distribution and entropy of clusters in growth models

T. Vicsek, J. Kertesz

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

We introduce a new approach to the description of cluster statistics in growth models by calculating the entropy of clusters from the probability distribution in their phase space. The entropy, Skassociated with the ensemble of clusters consisting of k particles is determined for diffusion-limited aggregates (DLA) and Eden clusters using the expression Sk = - ∑ Piln (pi)/k, where pi is the probability for the i-th configuration to occur. The expressions S = limSk provides a new characteristic quantity of the growth processes, in addition to the widely used fractal dimension. Our simulations on the square lattice give S(DLA) = 1.3 ± 0.1 and S(Eden) = 1.1 ± 0.1. The results are compared with the entropies of clusters calculated for equilibrium models.

Original languageEnglish
Pages (from-to)823-828
Number of pages6
JournalEPL
Volume2
Issue number11
DOIs
StatePublished - 1 Dec 1986
Externally publishedYes

Fingerprint

Dive into the research topics of 'Distribution and entropy of clusters in growth models'. Together they form a unique fingerprint.

Cite this