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Limit Theorems for the Maximal Path Weight in a Directed Graph on the Line with Random Weights of Edges. / Konstantopoulos, T.; Logachov, A. V.; Mogulskii, A. A. и др.
в: Problems of Information Transmission, Том 57, № 2, 04.2021, стр. 161-177.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Limit Theorems for the Maximal Path Weight in a Directed Graph on the Line with Random Weights of Edges
AU - Konstantopoulos, T.
AU - Logachov, A. V.
AU - Mogulskii, A. A.
AU - Foss, S. G.
N1 - Funding Information: The research of T. Konstantopoulos and S.G. Foss was supported in part by the joint Russian–French grant of the Russian Foundation for Basic Research and French National Centre for Scientific Research (project nos. RFBR-CNRS-19-51-15001 and CNRS-193-382). The research of A.V. Logachov, A.A. Mogulskii, and S.G. Foss was carried out at the Mathematical Center in Akademgorodok, Novosibirsk, agreement no. 075-15-2019-1675 with the Ministry of Science and Higher Education of the Russian Federation. Publisher Copyright: © 2021, Pleiades Publishing, Inc.
PY - 2021/4
Y1 - 2021/4
N2 - We consider an infinite directed graph with vertices numbered by integers . . . ,−2, −1, 0, 1, 2, . . . , where any pair of vertices j < k is connected by an edge (j, k) that is directed from j to k and has a random weight vj,k ∈ [−∞,∞). Here, {vj,k, j < k} is a family of independent and identically distributed random variables that take either finite values (of any sign) or the value −∞. A path in the graph is a sequence of connected edges (j0, j1), (j1, j2), . . . , (jm−1, jm) (where j0 < j1 < . . . < jm), and its weight is the sum (Formula presented.). of the weights of the edges. Let w0,n be the maximal weight of all paths from 0 to n. Assuming that P(v0,1 > 0) > 0, that the conditional distribution of P(v0,1 ∈ · | v0,1 > 0) is nondegenerate, and that Eexp(Cv0,1) < ∞ for some C = const > 0, we study the asymptotic behavior of random sequence w0,n as n → ∞. In the domain of the normal and moderately large deviations we obtain a local limit theorem when the distribution of random variables vi,j is arithmetic and an integro-local limit theorem if this distribution is non-lattice. Key words: directed graph, maximal path weight, skeleton and renewal points, normal and moderate large deviations, (integro-)local limit theorem.
AB - We consider an infinite directed graph with vertices numbered by integers . . . ,−2, −1, 0, 1, 2, . . . , where any pair of vertices j < k is connected by an edge (j, k) that is directed from j to k and has a random weight vj,k ∈ [−∞,∞). Here, {vj,k, j < k} is a family of independent and identically distributed random variables that take either finite values (of any sign) or the value −∞. A path in the graph is a sequence of connected edges (j0, j1), (j1, j2), . . . , (jm−1, jm) (where j0 < j1 < . . . < jm), and its weight is the sum (Formula presented.). of the weights of the edges. Let w0,n be the maximal weight of all paths from 0 to n. Assuming that P(v0,1 > 0) > 0, that the conditional distribution of P(v0,1 ∈ · | v0,1 > 0) is nondegenerate, and that Eexp(Cv0,1) < ∞ for some C = const > 0, we study the asymptotic behavior of random sequence w0,n as n → ∞. In the domain of the normal and moderately large deviations we obtain a local limit theorem when the distribution of random variables vi,j is arithmetic and an integro-local limit theorem if this distribution is non-lattice. Key words: directed graph, maximal path weight, skeleton and renewal points, normal and moderate large deviations, (integro-)local limit theorem.
KW - (integro-)local limit theorem
KW - directed graph
KW - maximal path weight
KW - normal and moderate large deviations
KW - skeleton and renewal points
UR - http://www.scopus.com/inward/record.url?scp=85109633722&partnerID=8YFLogxK
U2 - 10.1134/S0032946021020058
DO - 10.1134/S0032946021020058
M3 - Article
AN - SCOPUS:85109633722
VL - 57
SP - 161
EP - 177
JO - Problems of Information Transmission
JF - Problems of Information Transmission
SN - 0032-9460
IS - 2
ER -
ID: 34144448