High degrees of random recursive trees

Abstract

For n 1, let Tn be a random recursive tree on the vertex set [n]=\1,…,n\. Let degTn(v) be the degree of vertex v in Tn, that is, the number of children of v in Tn. Devroye and Lu showed that the maximum degree n of Tn satisfies n/ 2 n 1 almost surely; Goh and Schmutz showed distributional convergence of n - 2 n along suitable subsequences. In this work we show how a version of Kingman's coalescent can be used to access much finer properties of the degree distribution in Tn. For any i∈ Z, let Xi(n)=|\v∈ [n]: degTn(v)= n +i\|. Also, let P be a Poisson point process on R with rate function λ(x)=2-x· 2. We show that, up to lattice effects, the vectors (Xi(n),\, i∈ Z) converge weakly in distribution to (P[i,i+1),\, i∈ Z). We also prove asymptotic normality of Xi(n) when i=i(n) -∞ slowly, and obtain precise asymptotics for P(n - 2 n > i) when i(n) ∞ and i(n)/ n is not too large. Our results recover and extends the previous results on maximal and near-maximal degrees in random recursive trees.

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