Inverting the cut-tree transform
Louigi Addario-Berry, Daphn\'e Dieuleveut, Christina Goldschmidt

TL;DR
This paper develops a framework for reconstructing original R-trees from their cut-trees, extending previous results to a broader class of trees using enrichment techniques and exploiting self-similarity properties.
Contribution
It introduces an enrichment of the cut-tree transformation that enables almost sure reconstruction of the original R-tree for Brownian CRTs and alpha-stable trees.
Findings
Reconstruction of original trees from enriched cut-trees is possible.
The method applies to Brownian CRTs and alpha-stable trees with alpha in (1,2).
The approach relies on self-similarity and re-rooting invariance of the trees.
Abstract
We consider fragmentations of an R-tree driven by cuts arriving according to a Poisson process on , where the first co-ordinate specifies the location of the cut and the second the time at which it occurs. The genealogy of such a fragmentation is encoded by the so-called cut-tree, which was introduced by Bertoin and Miermont for a fragmentation of the Brownian continuum random tree. The cut-tree was generalised by Dieuleveut to a fragmentation of the -stable trees, , and by Broutin and Wang to the inhomogeneous continuum random trees of Aldous and Pitman. Remarkably, in all of these cases, the law of the cut-tree is the same as that of the original R-tree. In this paper, we develop a clean general framework for the study of cut-trees of R-trees. We then focus particularly on the problem of reconstruction: how to recover the original…
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