We study the complete graph equipped with a topology induced by independent and identically distributed edge weights. The focus of our analysis is on the weight Wn and the number of edges Hn of the minimal weight path between two distinct vertices in the weak disorder regime. We establish novel and simple first and second moment methods using path counting to derive first order asymptotics for the considered quantities. Our results are stated in terms of a sequence of parameters (sn)n∈N(sn)n∈N that quantifies the extreme-value behaviour of the edge weights, and that describes different universality classes for first passage percolation on the complete graph. These classes contain both n-independent and n-dependent edge weight distributions. The method is most effective for the universality class containing the edge weights EsnEsn , where E is an exponential random variable and snlogn→∞, s2nlogn→0sn2log⁡n→0 . We discuss two types of examples from this class in detail. In addition, the class where snlogn stays finite is studied. This article is a contribution to the program initiated by Bhamidi and van der Hofstad (Ann. Appl. Probab. 22(1):29–69, 2012).

Short Paths for First Passage Percolation on the Complete Graph / Eckhoff, Maren; Goodman, Jesse; van der Hofstad, Remco; Nardi, Francesca R.. - In: JOURNAL OF STATISTICAL PHYSICS. - ISSN 0022-4715. - STAMPA. - 151:(2013), pp. 1056-1088. [10.1007/s10955-013-0743-7]

Short Paths for First Passage Percolation on the Complete Graph

NARDI, FRANCESCA ROMANA
2013

Abstract

We study the complete graph equipped with a topology induced by independent and identically distributed edge weights. The focus of our analysis is on the weight Wn and the number of edges Hn of the minimal weight path between two distinct vertices in the weak disorder regime. We establish novel and simple first and second moment methods using path counting to derive first order asymptotics for the considered quantities. Our results are stated in terms of a sequence of parameters (sn)n∈N(sn)n∈N that quantifies the extreme-value behaviour of the edge weights, and that describes different universality classes for first passage percolation on the complete graph. These classes contain both n-independent and n-dependent edge weight distributions. The method is most effective for the universality class containing the edge weights EsnEsn , where E is an exponential random variable and snlogn→∞, s2nlogn→0sn2log⁡n→0 . We discuss two types of examples from this class in detail. In addition, the class where snlogn stays finite is studied. This article is a contribution to the program initiated by Bhamidi and van der Hofstad (Ann. Appl. Probab. 22(1):29–69, 2012).
2013
151
1056
1088
Eckhoff, Maren; Goodman, Jesse; van der Hofstad, Remco; Nardi, Francesca R.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1078664
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