Gel'fand三元组上分式Lévy过程的新息表示

借助于分式积分-微分算子和关于Gel'fand三元组上分式Lévy过程的随机积分,本文给出分式Lévy过程的新息表示公式,此公式可将Gel'fand三元组上分式Lévy过程转换成更简单的Lévy过程,并且可以应用在信号识别和行为金融学中.     

Lévy型算子所生成马氏过程的稳定性

利用Lévy型算子积分微分型表示形式和拟微分型表示形式,以寻求Lévy型算子生成的马氏过程各种稳定性的精确且可验证的充分条件.给出了由符号函数直接判定的Lévy型过程非爆炸的充分条件,这个条件包括了扩散过程非爆炸的线性增长条件;当Lévy型算子生成马氏过程对应半群的符号函数已知时,得到了由该符号函数直接表达的常返性充分条件,它推广了关于Lévy过程经典的Chun-Fuchs常返性准则.     

Gel’fand三元组上由同一Lévy过程定义的不同分数Lévy过程之间的积分变换公式(英文)

本文利用Riemann-Liouville分数积分算子的半群性质以及分数Lévy过程的Wie-ner积分,给出由同一平方可积Lévy过程定义的不同分数Lévy过程之间的积分变换公式.     

由Lévy过程驱动的一类特殊的高维的BSRDE解的存在唯一性

讨论由Brownian运动和Lévy过程共同驱动的线性随机系统的随机LQ问题,其中代价泛函是关于Lévy过程生成的σ-代数取条件期望.得到由Lévy过程驱动的新的多维的倒向随机Riccati方程,利用Bellman拟线性原理和单调收敛方法证明了此随机Riccati方程的解的存在性.     

Lévy噪声驱动的非对称耗散随机系统的Poincaré-型不等式和分部积分公式（英文）

研究了Lévy噪声驱动的非对称耗散随机系统的mild解的存在唯一性以及不变测度的存在性,随后得到了关于不变测度的Poincaré-型不等式和分部积分公式.     

可加Lévy噪声驱动随机微分方程的强Feller性与指数遍历性

在假定Lévy过程可表示成相互独立从属布朗运动和某个Lévy过程相加的条件下,我们得到该可加Lévy噪声驱动的随机微分方程的强Feller性与指数遍历性.     

超Lévy过程的粒子的最大速度

引进了超Lévy过程,研究了在它的域(range)和支撑中粒子的最大速度问题．历史的超Lévy过程的状态是一个轨道集的测度．研究了在给定的时间集E里全部粒子的最大速度,结果表明它是E的packing维数的函数．最后还计算了在历史的超Lévy过程的域和支撑中的a-快轨道集的Hausdorff维数．     

Gel’fand三元组上多分数Lévy过程(英文)

本文研究了Gel’fand三元组上多分数Lévy过程.通过将分数Lévy过程的参数替换为依赖于时间t的函数,从而定义了Gel’fand三元组上的多分数Lévy过程以及其一维边际分布和协方差函数.     

折射Lévy风险过程的Parisian破产问题

该文主要讨论了折射Lévy风险过程(Refracted Lévy risk processes)的Parisian破产问题.折射Lévy风险过程可以看作一个保费可作调整的风险过程.该文借助Lévy过程的尺度函数(scale function)以及波动性理论(fluctuation)给出了折射Lévy风险过程的Parisian破产概率的确切表达式.     

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利用鞅方法,我们给出跳扩散过程的偏差不等式,推广了之前关于纯Lévy跳过程在类Cramér条件下的结论,同时我们的方法对于Lévy测度不具有指数矩的情形也是适用的.     

Simulation of stochastic integrals with respect to Lévy processes of type G

We study the simulation of stochastic processes defined as stochastic integrals with respect to type G Lévy processes for the case where it is not possible to simulate the type G process exactly. The type G Lévy process as well as the stochastic integral can on compact intervals be represented as an infinite series. In a practical simulation we must truncate this representation. We examine the approximation of the remaining terms with a simpler process to get an approximation of the stochastic integral. We also show that a stochastic time change representation can be used to obtain an approximation of stochastic integrals with respect to type G Lévy processes provided that the integrator and the integrand are independent.     

Ornstein–Uhlenbeck processes in Hilbert space with non-Gaussian stochastic volatility

We propose a non-Gaussian operator-valued extension of the Barndorff-Nielsen and Shephard stochastic volatility dynamics, defined as the square-root of an operator-valued Ornstein–Uhlenbeck process with Lévy noise and bounded drift. We derive conditions for the positive definiteness of the Ornstein–Uhlenbeck process, where in particular we must restrict to operator-valued Lévy processes with “non-decreasing paths”. It turns out that the volatility model allows for an explicit calculation of its characteristic function, showing an affine structure. We introduce another Hilbert space-valued Ornstein–Uhlenbeck process with Wiener noise perturbed by this class of stochastic volatility dynamics. Under a strong commutativity condition between the covariance operator of the Wiener process and the stochastic volatility, we can derive an analytical expression for the characteristic functional of the Ornstein–Uhlenbeck process perturbed by stochastic volatility if the noises are independent. The case of operator-valued compound Poisson processes as driving noise in the volatility is discussed as a particular example of interest. We apply our results to futures prices in commodity markets, where we discuss our proposed stochastic volatility model in light of ambit fields.     

Hyperfinite stochastic integration for Lévy processes with finite-variation jump part

This article links the hyperfinite theory of stochastic integration with respect to certain hyperfinite Lévy processes with the elementary theory of pathwise stochastic integration with respect to pure-jump Lévy processes with finite-variation jump part. Since the hyperfinite Itô integral is also defined pathwise, these results show that hyperfinite stochastic integration provides a pathwise definition of the stochastic integral with respect to Lévy jump-diffusions with finite-variation jump part.As an application, we provide a short and direct nonstandard proof of the generalized Itô formula for stochastic differentials of smooth functions of Lévy jump-diffusions whose jumps are bounded from below in norm.     

Branching particle systems in spectrally one-sided Lévy processes

We investigate the branching structure coded by the excursion above zero of a spectrally positive Lévy process. The main idea is to identify the level of the Lévy excursion as the time and count the number of jumps upcrossing the level. By regarding the size of a jump as the birth site of a particle, we construct a branching particle system in which the particles undergo nonlocal branchings and deterministic spatial motions to the left on the positive half line. A particle is removed from the system as soon as it reaches the origin. Then a measure-valued Borel right Markov process can be defined as the counting measures of the particle system. Its total mass evolves according to a Crump- Mode-Jagers (CMJ) branching process and its support represents the residual life times of those existing particles. A similar result for spectrally negative Lévy process is established by a time reversal approach. Properties of the measurevalued processes can be studied via the excursions for the corresponding Lévy processes.     

Fractional Lévy processes on Gel’fand triple and stochastic integration

In this paper, we investigate the long-range dependence of fractional Lévy processes on Gel’fand triple and construct stochastic integral with respect to fractional Lévy processes for a class of deterministic integrands.      

Stochastic integration for Lévy processes with values in Banach spaces

A stochastic integral of Banach space valued deterministic functions with respect to Banach space valued Lévy processes is defined. There are no conditions on the Banach spaces or on the Lévy processes. The integral is defined analogously to the Pettis integral. The integrability of a function is characterized by means of a radonifying property of an integral operator associated with the integrand. The integral is used to prove a Lévy–Itô decomposition for Banach space valued Lévy processes and to study existence and uniqueness of solutions of stochastic Cauchy problems driven by Lévy processes.     

A characterization of subclasses of semi-selfdecomposable distributions by stochastic integral representations

Characterizations of the classes of selfdecomposable (semi-selfdecomposable, resp.) by a stochastic integral with respect to Lévy process (semi-Lévy process, resp.) are known. A similar characterization for the Urbanik–Sato nested subclasses of the class of selfdecomposable distributions is also known. In this paper, a characterization of the nested subclasses of the class of semi-selfdecomposable distributions is given in terms of stochastic integral with respect to semi-Lévy process.