Abstract

In [9] the Hausdorff dimension, $d_{f}$, of $\partial \mathcal {R}$, the topological boundary of the range of super-Brownian motion for dimensions $d=2,3$ was found; $d_{f}=4-2\sqrt {2}$ if $d=2$, and $d_{f}=(9-\sqrt {17})/2$ if $d=3$. We will refine these dimension estimates in a number of ways. If $L^{x}$ is the total occupation local time of $d$-dimensional super-Brownian motion, $X$, for $d=2$ and $d=3$, we construct a random measure $\mathcal {L}$, called the boundary local time measure, as a rescaling of $L^{x} e^{-\lambda L^{x}} dx$ as $\lambda \to \infty $, thus confirming a conjecture of [19] and further show that the support of $\mathcal {L}$ equals $\partial \mathcal {R}$. This latter result uses a second construction of a boundary local time $\widetilde {\mathcal {L}}$ given in terms of exit measures and we prove that $\widetilde {\mathcal {L}}=c\mathcal {L}$ a.s. for some constant $c>0$. We derive reasonably explicit first and second moment measures for $\mathcal {L}$ in terms of negative dimensional Bessel processes and use them with the energy method to give a more direct proof of the lower bound of the Hausdorff dimension of $\partial \mathcal {R}$ in [9]. The construction requires a refinement of the $L^{2}$ upper bounds in [19] and [9] to exact $L^{2}$ asymptotics. The methods also refine the left tail bounds for $L^{x}$ in [19] to exact asymptotics. We conjecture that the $d_{f}$-dimensional Minkowski content of $\partial \mathcal {R}$ is equal to the total mass of the boundary local time $\mathcal {L}$ up to some constant.

Highlights

  • Introduction and main results1.1 IntroductionLet MF = MF (Rd) be the space of finite measures on (Rd, B(Rd)) equipped with the topology of weak convergence of measures

  • A super-Brownian motion (SBM) (Xt, t ≥ 0) starting at X0 ∈ MF is a continuous MF -valued strong Markov process defined on some filtered probability space (Ω, F, Ft, P ) described below and we let PX0 denotes any probability under which X is as above

  • Let ∂R be the topological boundary of the range R and define F to be the boundary of the set where the local time is positive, i.e. F := ∂{x : Lx > 0}

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Summary

Introduction

A super-Brownian motion (SBM) (Xt, t ≥ 0) starting at X0 ∈ MF is a continuous MF -valued strong Markov process defined on some filtered probability space (Ω, F , Ft, P ) described below and we let PX0 denotes any probability under which X is as above. Let ∂R be the topological boundary of the range R and define F to be the boundary of the set where the local time is positive, i.e. F := ∂{x : Lx > 0}. Recall from Section II. in [20] that Nx0 is a σ-finite measure on C([0, ∞), MF ), which is the space of continuous MF (Rd)-valued paths furnished with the compact-open topology, such that if we let Ξ = i∈I δνi be a Poisson point process on C([0, ∞), MF ) with intensity NX0(dν) = Nx(dν)X0(dx), . We slightly abuse the notation and use μt →P μt0 as t → t0 to denote the convergence in measure under NX0 if for any ε > 0, we have NX0({d0(μt, μt0) > ε} ∩ A) → 0 as t → t0 where A is any measurable set such that NX0(A) < ∞

Main Results
An Alternate model
Exit Measures and the Special Markov Property
Mean measure for local time
Left tail of the local time
Mean measure for exit measure
Second moment convergence
Preliminaries
On the moments of the boundary local time measure
Exit measures and zero-one law
Change of Measure

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