2007
DOI: 10.1088/1751-8113/40/31/004
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Finitely coordinated models for low-temperature phases of amorphous systems

Abstract: We introduce models of heterogeneous systems with finite connectivity defined on random graphs to capture finite-coordination effects on the low-temperature behavior of finite dimensional systems. Our models use a description in terms of small deviations of particle coordinates from a set of reference positions, particularly appropriate for the description of low-temperature phenomena. A Born-von-Karman type expansion with random coefficients is used to model effects of frozen heterogeneities. The key quantity… Show more

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Cited by 20 publications
(51 citation statements)
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References 57 publications
(152 reference statements)
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“…exhibiting a Posisssonian degree distribution with average coordination c. We note at the outset that formal results carry over without modification to other cases [30]. There is no need at this point to specify the distribution of the K ij , but we shall typically look at Gaussian and bimodal distributions.…”
Section: General Formulationmentioning
confidence: 99%
See 3 more Smart Citations
“…exhibiting a Posisssonian degree distribution with average coordination c. We note at the outset that formal results carry over without modification to other cases [30]. There is no need at this point to specify the distribution of the K ij , but we shall typically look at Gaussian and bimodal distributions.…”
Section: General Formulationmentioning
confidence: 99%
“…In [30] it is shown that they hold -unmodified -for non-Poissonian degree distributions as well, as long as the average connectivity in these systems remains finite.…”
Section: Replica Symmetrymentioning
confidence: 99%
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“…In other contexts where this problem occurs, such as continuous models on sparse random graphs (see e.g. Kühn et al [20] and references therein), population dynamics can be used for the theoretical analysis. For agent based models, however, this is tantamount to simulating the model.…”
Section: Theoretical Analysismentioning
confidence: 99%