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Some Exit Time Estimates for Super-Brownian Motion and Fleming-Viot Process 超布朗运动和弗莱明-维奥过程的一些退出时间估计
Pub Date : 2018-09-14 DOI: 10.31390/josa.1.2.02
Parisa Fatheddin
Estimates for exit time from an interval of length 2r before a prescribed time T are derived for solutions of a class of stochastic partial differential equations used to characterize two population models: super-Brownian motion and Fleming-Viot Process. These types of estimates are then derived for the two population models. The corresponding large deviation results are also applied for the acquired bounds.
对于一类随机偏微分方程的解,导出了在指定时间T之前从长度为2r的区间退出时间的估计,这些解用于表征两个种群模型:超布朗运动和弗莱明-维奥过程。然后为两种人口模型推导出这些类型的估计。对得到的边界也应用了相应的大偏差结果。
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引用次数: 0
Ogawa Integrability and a Condition for Convergence in the Multidimensional Case 多维情况下Ogawa可积性及收敛的一个条件
Pub Date : 2018-09-05 DOI: 10.31390/josa.1.1.04
N. Cangiotti, S. Mazzucchi
The Ogawa stochastic integral is shortly reviewed and formulated in the framework of abstract Wiener spaces. The condition of universal Ogawa integrability in the multidimensional case is investigated, proving that it cannot hold in general without the introduction of a "renormalization term". Explicit examples are provided.
简要回顾了Ogawa随机积分,并在抽象维纳空间的框架中对其进行了表述。研究了多维情况下普遍Ogawa可积性的条件,证明了在不引入“重整化项”的情况下,它不能普遍成立。给出了明确的例子。
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引用次数: 0
Hessian Formulas and Estimates for Parabolic Schrödinger Operators 抛物型Schrödinger算子的Hessian公式和估计
Pub Date : 2016-10-29 DOI: 10.31390/josa.2.3.07
Xue-Mei Li
We study the Hessian of the fundamental solution to the parabolic problem for weighted Schr"odinger operators of the form $frac 12 Delta+nabla h-V$ proving a second order Feynman-Kac formula and obtaining Hessian estimates. For manifolds with a pole, we use the Jacobian determinant of the exponential map to offset the volume growth of the Riemannian measure and use the semi-classical bridge as a delta measure at $y_0$ to obtain exact Gaussian estimates. These estimates are in terms of bounds on $Ric-2 Hess (h)$, on the curvature operator, and on the cyclic sum of the gradient of the Ricci tensor.
我们研究了形式为$frac 12 Delta+nabla h-V$的加权Schrödinger算子的抛物型问题基本解的Hessian,证明了二阶Feynman-Kac公式并得到了Hessian估计。对于具有极点的流形,我们使用指数映射的雅可比行列式来抵消黎曼测度的体积增长,并使用半经典桥作为delta测度($y_0$)来获得精确的高斯估计。这些估计是根据$Ric-2 Hess (h)$,曲率算子,和里奇张量梯度的循环和的界限来估计的。
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引用次数: 12
Taylor Expansions and Castell Estimates for Solutions of Stochastic Differential Equations Driven by Rough Paths 粗糙路径驱动下随机微分方程解的Taylor展开和Castell估计
Pub Date : 2012-09-20 DOI: 10.31390/josa.1.2.04
Qi Feng, Xuejing Zhang
We study the Taylor expansion for the solutions of differential equations driven by $p$-rough paths with $p>2$. We prove a general theorem concerning the convergence of the Taylor expansion on a nonempty interval provided that the vector fields are analytic on a ball centered at the initial point. We also derive criteria that enable us to study the rate of convergence of the Taylor expansion. Finally and this is also the main and the most original part of this paper, we prove Castell expansions and tail estimates with exponential decays for the remainder terms of the solutions of the stochastic differential equations driven by continuous centered Gaussian process with finite $2D~rho-$variation and fractional Brownian motion with Hurst parameter $H>1/4$.
研究了$p$-粗糙路径驱动的微分方程解的泰勒展开式。在以初始点为中心的球上,如果向量场是解析的,则证明了泰勒展开在非空区间上的收敛性的一般定理。我们还推导了一些准则,使我们能够研究泰勒展开的收敛速度。最后,也是本文最主要和最具独创性的部分,我们证明了具有有限$2D~rho-$变化和带有Hurst参数$H>1/4$分数阶布朗运动的连续中心高斯过程驱动的随机微分方程解的余项的Castell展开式和带指数衰减的尾估计。
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引用次数: 2
Anticipating Linear Stochastic Differential Equations with Adapted Coefficients 预测具有自适应系数的线性随机微分方程
Pub Date : 1900-01-01 DOI: 10.31390/josa.2.2.05
H. Kuo, Pujan Shrestha, S. Sinha
Stochastic differential equations with adapted integrands and initial conditions are well studied within Itô’s theory. However, such a general theory is not known for corresponding equations with anticipation. We use examples to illustrate essential ideas of the Ayed–Kuo integral and techniques for dealing with anticipating stochastic differential equations. We prove the general form of the solution for a class of linear stochastic differential equations with adapted coefficients and anticipating initial condition, which in this case is an analytic function of a Wiener integral. We show that for such equations, the conditional expectation of the solution is not the same as the solution of the corresponding stochastic differential equation with the initial condition as the expectation of the original initial condition. In particular, we show that there is an extra term in the stochastic differential equation, and give the exact form of this term.
具有自适应积分和初始条件的随机微分方程在Itô的理论中得到了很好的研究。然而,这样的一般理论并不知道与预期相对应的方程。我们用实例来说明阿依德-郭氏积分的基本思想和处理预测随机微分方程的技术。我们证明了一类具有自适应系数和预期初始条件的线性随机微分方程解的一般形式,在这种情况下,解是Wiener积分的解析函数。我们证明了对于这样的方程,解的条件期望与相应的随机微分方程的解的条件期望不相同,初始条件为原始初始条件的期望。特别地,我们证明了随机微分方程中有一个额外的项,并给出了这个项的确切形式。
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引用次数: 5
期刊
Journal of Stochastic Analysis
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