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arXiv 1909.05067math.PR
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平面布朗乘法混沌的特征化

Characterisation of planar Brownian multiplicative chaos

Antoine Jego

AI总结:

本文通过特征化平面布朗乘法混沌测度,揭示了随机游走厚点集的标度极限,并得出了归一化后厚点数量的收敛性结果。

摘要:

我们特征化了与平面布朗运动相关的乘法混沌测度$\mathcal{M}$,该测度在[BBK94,AHS20,Jeg20a]中引入,通过证明它是唯一满足一列表示自然属性的随机Borel测度。这些属性仅用于固定测度的平均值,并表达空间马尔可夫性质。作为我们特征化的结果,我们建立了平面简单随机游走厚点集的标度极限,通过证明与厚点相关的点测度弱收敛于$\mathcal{M}$。特别地,我们获得了随机游走厚点适当归一化数量收敛于非退化随机变量。归一化常数不同于高斯自由场,如[Jeg20b]所推测。这些结果涵盖了整个次临界区域。一个关键的新思想是引入描述不同布朗轨迹交集以及它们如何相互作用以形成厚点的测度。

英文摘要:

We characterise the multiplicative chaos measure $\mathcal{M}$ associated to planar Brownian motion introduced in [BBK94,AHS20,Jeg20a] by showing that it is the only random Borel measure satisfying a list of natural properties. These properties only serve to fix the average value of the measure and to express a spatial Markov property. As a consequence of our characterisation, we establish the scaling limit of the set of thick points of planar simple random walk, stopped at the first exit time of a domain, by showing the weak convergence towards $\mathcal{M}$ of the point measure associated to the thick points. In particular, we obtain the convergence of the appropriately normalised number of thick points of random walk to a nondegenerate random variable. The normalising constant is different from that of the Gaussian free field, as conjectured in [Jeg20b]. These results cover the entire subcritical regime. A key new idea for this characterisation is to introduce measures describing the intersection between different Brownian trajectories and how they interact to create thick points.

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