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Probabilistic and analytical properties of the last passage percolation constant in a weighted random directed graph Full article

Journal Annals of Applied Probability
ISSN: 1050-5164
Output data Year: 2023, Volume: 33, Number: 2, Pages: 731-753 Pages count : 23 DOI: 10.1214/22-aap1832
Tags critical point, Last-passage percolation, maximal path, random graph, Regenerative structure, skeleton point
Authors Foss Sergey 2 , Konstantopoulos Takis 3 , Pyatkin Artem 1
Affiliations
1 School of Mathematical Sciences, Heriot-Watt University
2 Department of Mathematical Sciences, The University of Liverpool
3 Laboratory of Discrete Optimization in Operations Research, Sobolev Institute of Mathematics

Funding (2)

1 Sobolev Institute of Mathematics 0314-2019-0014
2 Mathematical Center in Akademgorodok 075-15-2019-1675

Abstract: To each edge (i, j), i < j, of the complete directed graph on the integers we assign unit weight with probability p or weight x with probability 1 − p, independently from edge to edge, and give to each path weight equal to the sum of its edge weights. If W0x,n is the maximum weight of all paths from 0 to n then W0x,n/n → Cp(x), as n → ∞, almost surely, where Cp(x) is positive and deterministic. We study Cp(x) as a function of x, for fixed 0 < p < 1, and show that it is a strictly increasing convex function that is not differentiable if and only if x is a nonpositive rational or a positive integer except 1 or the reciprocal of it. We allow x to be any real number, even negative, or, possibly, −∞. The case x = −∞ corresponds to the well-studied directed version of the Erdős–Rényi random graph (known as Barak–Erdős graph) for which Cp(−∞) = limx→−∞ Cp(x) has been studied as a function of p in a number of papers.
Cite: Foss S. , Konstantopoulos T. , Pyatkin A.
Probabilistic and analytical properties of the last passage percolation constant in a weighted random directed graph
Annals of Applied Probability. 2023. V.33. N2. P.731-753. DOI: 10.1214/22-aap1832 WOS Scopus РИНЦ OpenAlex
Dates:
Submitted: Jun 1, 2020
Published print: Mar 21, 2023
Published online: Apr 1, 2023
Identifiers:
Web of science: WOS:000960867800004
Scopus: 2-s2.0-85152898137
Elibrary: 61242636
OpenAlex: W3033847703
Citing:
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Web of science 2
Scopus 2
OpenAlex 6
Elibrary 3
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