论文标题
限制循环汤的定理随机变量
Limit theorems for loop soup random variables
论文作者
论文摘要
本文介绍了针对某些循环变量的限制定理,该变量的强度接近无穷大。我们首先考虑在有限图上的随机行走环汤,并在循环变量是每个环的所有循环中的总和时,都会获得中心限制定理。还讨论了将此结果扩展到循环固体的非公共案例。作为第一个结果的应用,我们为平面图周围环的绕组而得出了一个中心极限定理。更准确地说,我们表明,随机循环汤产生的绕组场在适当地归一化时会具有高斯极限,因为环汤强度趋向于$ \ infty $,并且我们为极限场的协方差核心提供了明确的公式。我们还得出了针对布朗循环汤绕组的Spitzer-type定律,即,我们表明,当乘以$ 1/\loguΔ$时,所有直径大于$δ$的直径循环的总绕点会收敛到cauchy的随机变量,为$δ\ fanible $δ\ 0 $。
This article deals with limit theorems for certain loop variables for loop soups whose intensity approaches infinity. We first consider random walk loop soups on finite graphs and obtain a central limit theorem when the loop variable is the sum over all loops of the integral of each loop against a given one-form on the graph. An extension of this result to the noncommutative case of loop holonomies is also discussed. As an application of the first result, we derive a central limit theorem for windings of loops around the faces of a planar graphs. More precisely, we show that the winding field generated by a random walk loop soup, when appropriately normalized, has a Gaussian limit as the loop soup intensity tends to $\infty$, and we give an explicit formula for the covariance kernel of the limiting field. We also derive a Spitzer-type law for windings of the Brownian loop soup, i.e., we show that the total winding around a point of all loops of diameter larger than $δ$, when multiplied by $1/\logδ$, converges in distribution to a Cauchy random variable as $δ\to 0$.