The \(k\)-cut model in deterministic and random trees
The electronic journal of combinatorics, Tome 28 (2021) no. 1
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The \(k\)-cut number of rooted graphs was introduced by Cai et al. as a generalization of the classical cutting model by Meir and Moon. In this paper, we show that all moments of the \(k\)-cut number of conditioned Galton-Watson trees converge after proper rescaling, which implies convergence in distribution to the same limit law regardless of the offspring distribution of the trees. This extends the result of Janson. Using the same method, we also show that the \(k\)-cut number of various random or deterministic trees of logarithmic height converges in probability to a constant after rescaling, such as random split-trees, uniform random recursive trees, and scale-free random trees.
DOI : 10.37236/9486
Classification : 60C05, 60F05, 05C05
Mots-clés : \(k\)-cut number, Galton-Watson tree, random tree

Gabriel Berzunza  1   ; Xing Shi Cai  1   ; Cecilia Holmgren  1

1 Uppsala University
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Gabriel Berzunza; Xing Shi Cai; Cecilia Holmgren. The \(k\)-cut model in deterministic and random trees. The electronic journal of combinatorics, Tome 28 (2021) no. 1. doi: 10.37236/9486

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