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}
Summary
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) < ∞
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