A simple proof of Duquesne's theorem on contour processes of conditioned Galton-Watson trees

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 2 figures

Scientific paper

We give a new simple proof of a theorem of Duquesne, stating that the properly rescaled contour function of a critical aperiodic Galton-Watson tree, whose offspring distribution is in the domain of attraction of a stable law of index $\theta \in (1,2]$, conditioned on having total progeny $n$, converges in the functional sense to the normalized excursion of the continuous-time height function of a strictly stable spectrally positive L\'evy process of index $\theta$. To this end, we generalize an idea of Le Gall which consists in using an absolute continuity relation between the conditional probability of having total progeny exactly $n$ and the conditional probability of having total progeny at least $n$. This new method is robust and can be adapted to establish invariance theorems for Galton-Watson trees having $n$ vertices whose degrees are prescribed to belong to a fixed subset of the positive integers.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A simple proof of Duquesne's theorem on contour processes of conditioned Galton-Watson trees does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A simple proof of Duquesne's theorem on contour processes of conditioned Galton-Watson trees, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A simple proof of Duquesne's theorem on contour processes of conditioned Galton-Watson trees will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-97691

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.