14,244 research outputs found

    Some properties of the range of super-Brownian motion

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    We consider a super-Brownian motion XX. Its canonical measures can be studied through the path-valued process called the Brownian snake. We obtain the limiting behavior of the volume of the ϵ\epsilon-neighborhood for the range of the Brownian snake, and as a consequence we derive the analogous result for the range of super-Brownian motion and for the support of the integrated super-Brownian excursion. Then we prove the support of XtX_t is capacity-equivalent to [0,1]2[0,1]^2 in Rd\R^d, d≥3d\geq 3, and the range of XX, as well as the support of the integrated super-Brownian excursion are capacity-equivalent to [0,1]4[0,1]^4 in Rd\R^d, d≥5d\geq 5

    Height process for super-critical continuous state branching process

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    We define the height process for super-critical continuous state branching processes with quadratic branching mechanism. It appears as a projective limit of Brownian motions with positive drift reflected at 0 and a>0 as a goes to infinity. Then we extend the pruning procedure of branching processes to the super-critical case. This give a complete duality picture between pruning and size proportional immigration for quadratic continuous state branching processes

    Fragmentation at height associated to L\'{e}vy processes

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    We consider the height process of a L\'{e}vy process with no negative jumps, and its associated continuous tree representation. Using tools developed by Duquesne and Le Gall, we construct a fragmentation process at height, which generalizes the fragmentation at height of stable trees given by Miermont. In this more general framework, we recover that the dislocation measures are the same as the dislocation measures of the fragmentation at node introduced by Abraham and Delmas, up to a factor equal to the fragment size. We also compute the asymptotic for the number of small fragments

    Record process on the Continuum Random Tree

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    By considering a continuous pruning procedure on Aldous's Brownian tree, we construct a random variable Θ\Theta which is distributed, conditionally given the tree, according to the probability law introduced by Janson as the limit distribution of the number of cuts needed to isolate the root in a critical Galton-Watson tree. We also prove that this random variable can be obtained as the a.s. limit of the number of cuts needed to cut down the subtree of the continuum tree spanned by nn leaves
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