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Height coupled trees

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Multi angle
Authors : Ünel, Meltem (Author of the conference)
CIRM (Publisher )

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Abstract : We consider planar rooted random trees whose distribution is even for fixed height $h$ and size $N$ and whose height dependence is of exponential form $e^{-\mu h}$. Defining the total weight for such trees of fixed size to be $Z^{(\mu)}_N$, we determine its asymptotic behaviour for large $N$, for arbitrary real values of $\mu$. Based on this we evaluate the local limit of the corresponding probability measures and find a transition at $\mu=0$ from a single spine phase to a multi-spine phase. Correspondingly, there is a transition in the volume growth rate of balls around the root as a function of radius from linear growth for $\mu<0$ to the familiar quadratic growth at $\mu=0$ and to cubic growth for $\mu> 0$.

Keywords : random trees; local limit; height dependent weights

MSC Codes :
05C05 - Trees
60B10 - Convergence of probability measures
60J75 - Jump processes

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 04/02/2022
    Conference Date : 20/01/2022
    Subseries : Research talks
    arXiv category : Probability
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:52:01
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2022-01-20_Unel.mp4

Information on the Event

Event Title : Random Geometry / Géométrie aléatoire
Event Organizers : Curien, Nicolas ; Goldschmidt, Christina ; Le Gall, Jean-François ; Miermont, Grégory ; Rhodes, Rémi
Dates : 17/01/2022 - 21/01/2022
Event Year : 2022
Event URL : https://conferences.cirm-math.fr/2528.html

Citation Data

DOI : 10.24350/CIRM.V.19878603
Cite this video as: Ünel, Meltem (2022). Height coupled trees. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19878603
URI : http://dx.doi.org/10.24350/CIRM.V.19878603

See Also

Bibliography

  • DURHUUS, Bergfinnur et ÜNEL, Meltem. Trees with exponential height dependent weight. arXiv preprint arXiv:2112.06570, 2021. - https://arxiv.org/abs/2112.06570



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