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Range-Renewal Processes:SLLNs and Power Laws

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摘要 Given n samples(viewed as an n-tuple)of aγ-regular discrete distributionπ,in this article the authors concern with the weighted and unweighted graphs induced by the n samples.They first prove a series of SLLN results(of Dvoretzky-Erdos'type).Then they show that the vertex weights of the graphs under investigation obey asymptotically power law distributions with exponent 1+γThey also give a conjecture that the degrees of unweighted graphs would exhibit asymptotically power law distributions with constant exponent 2.This exponent is obviously independent of the parameterγ∈(0,1),which is a surprise to us at first sight.
出处 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2022年第1期63-78,共16页 数学年刊(B辑英文版)
基金 This work was supported by the National Natural Science Foundation of China(Nos.11871162,11771286,11271255,11271077,11001173,11790273) the Key Laboratory of Mathematics for Non linear Science,Fudan University.
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