Range-Renewal Processes: SLLN, Power Law and Beyonds
classification
🧮 math.PR
math.STstat.TH
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graphpowersamplesarticlebeyondsconstructingdegree-distributiondiscrete
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Given $n$ samples of a regular discrete distribution $\pi$, we prove in this article first a serial of SLLNs results (of Dvoretzky and Erd\"{o}s' type) which implies a typical power law when $\pi$ is heavy-tailed. Constructing a (random) graph from the ordered $n$ samples, we can establish other laws for the degree-distribution of the graph. The phenomena of small world is also discussed.
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