Abstract

We investigate the number of permutations that occur in random labellings of trees. This is a generalisation of the number of subpermutations occurring in a random permutation. It also generalises some recent results on the number of inversions in randomly labelled trees (Cai et al. in Combin Probab Comput 28(3):335–364, 2019). We consider complete binary trees as well as random split trees a large class of random trees of logarithmic height introduced by Devroye (SIAM J Comput 28(2):409–432, 1998. https://doi.org/10.1137/s0097539795283954). Split trees consist of nodes (bags) which can contain balls and are generated by a random trickle down process of balls through the nodes. For complete binary trees we show that asymptotically the cumulants of the number of occurrences of a fixed permutation in the random node labelling have explicit formulas. Our other main theorem is to show that for a random split tree, with probability tending to one as the number of balls increases, the cumulants of the number of occurrences are asymptotically an explicit parameter of the split tree. For the proof of the second theorem we show some results on the number of embeddings of digraphs into split trees which may be of independent interest.

Highlights

  • Introduction and Statement of ResultsOur two main results are the distribution of the number of appearances of a fixed permutation in random labellings of complete binary tree and split trees

  • We investigate the number of permutations that occur in random labellings of trees

  • For complete binary trees we show that asymptotically the cumulants of the number of occurrences of a fixed permutation in the random node labelling have explicit formulas

Read more

Summary

Introduction and Statement of Results

Our two main results are the distribution of the number of appearances of a fixed permutation in random labellings of complete binary tree and split trees. Theorem 1.3 gives the distribution of the number of appearances of a fixed permutation in a random labelling of a complete binary tree. 1.3, is a random tree consisting of a random number and arrangement of nodes and non-negative number of balls within each node. We say an event En occurs with high probability (whp) if P(En) → 1 as n → ∞. Theorem 1.6 shows that for a random split tree with high probability, a result similar to Theorem 1.3 holds for the number of appearances of a fixed permutation in a random labelling of the balls of the tree. This paper extends the conference paper [1]

Patterns in Labelled Trees
Complete Binary Trees
Split Trees
Embeddings of Small Digraphs
Embeddings of Small Digraphs into the Complete Binary Tree
Embeddings of Small Digraphs into the Split Trees
Embeddings
Labelling Stars
Cumulants Moments
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call