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The uniform measure on a Galton-Watson tree without the XlogX condition

Probability 2011-01-11 v1

Abstract

We consider a Galton--Watson tree with offspring distribution ν\nu of finite mean. The uniform measure on the boundary of the tree is obtained by putting mass 11 on each vertex of the nn-th generation and taking the limit nn\to \infty. In the case E[νln(ν)]<E[\nu\ln(\nu)]<\infty, this measure has been well studied, and it is known that the Hausdorff dimension of the measure is equal to ln(m)\ln(m) (\cite{hawkes}, \cite{lpp95}). When E[νln(ν)]=E[\nu \ln(\nu)]=\infty, we show that the dimension drops to 00. This answers a question of Lyons, Pemantle and Peres \cite{LyPemPer97}.

Keywords

Cite

@article{arxiv.1101.1816,
  title  = {The uniform measure on a Galton-Watson tree without the XlogX condition},
  author = {elie aidekon},
  journal= {arXiv preprint arXiv:1101.1816},
  year   = {2011}
}