1992
DOI: 10.1515/dma.1992.2.1.109
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On the number of cycles in a random non-equiprobable graph

Abstract: We consider a non-

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Cited by 11 publications
(10 citation statements)
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“…The first linear dependence of a random sequence has been studied by several authors, including Balakin, Kolchin, and Khokhlov [3,4], Calkin [5,6], Kolchin [10], and Kolchin and Khokhlov [11]. For 2 and k = 2 the solution m ≤ n/2 is well known.…”
Section: Introductionmentioning
confidence: 99%
“…The first linear dependence of a random sequence has been studied by several authors, including Balakin, Kolchin, and Khokhlov [3,4], Calkin [5,6], Kolchin [10], and Kolchin and Khokhlov [11]. For 2 and k = 2 the solution m ≤ n/2 is well known.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore S(A) is equal to the number of independent cycles in Gn,T. Thus, the results about the distribution of the number of cycles on random graphs[3,8,10,12] can be reformulated on the language of ranks of the corresponding matrices. These considerations lead us to a new concept of cycles in hypergraphs.…”
mentioning
confidence: 99%
“…If n, T -> oo in such a way that 2T/n -> λ, Ο < λ < 1, then This result gives a possibility to prove that the distribution of the number of cycles of various types of random graphs converges to the Poisson distribution. In [5] this possibility is realized for the graph G n> r considered in the present paper.…”
Section: Auxiliary Resultsmentioning
confidence: 70%
“…[2][3][4][5][6][7]). If π, Τ -> oo in such a way that 2T/n -> λ, Ο < λ < 1, then, with probability tending to one, the graph (7 η ,τ contains no connected components including more than one cycle, therefore, with probability tending to one, cycles in the graph Ο η ,τ are independent and ί/η,τ = θ(ν4 η , τ ).…”
Section: Introductionmentioning
confidence: 99%