Some Families of Random Fields Related to Multiparameter Lévy Processes

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY Journal of Theoretical Probability Pub Date : 2024-06-21 DOI:10.1007/s10959-024-01351-3
Francesco Iafrate, Costantino Ricciuti
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Abstract

Let \({\mathbb {R}}^N_+= [0,\infty )^N\). We here make new contributions concerning a class of random fields \((X_t)_{t\in {\mathbb {R}}^N_+}\) which are known as multiparameter Lévy processes. Related multiparameter semigroups of operators and their generators are represented as pseudo-differential operators. We also provide a Phillips formula concerning the composition of \((X_t)_{t\in {\mathbb {R}}^N_+}\) by means of subordinator fields. We finally define the composition of \((X_t)_{t\in {\mathbb {R}}^N_+}\) by means of the so-called inverse random fields, which gives rise to interesting long-range dependence properties. As a byproduct of our analysis, we present a model of anomalous diffusion in an anisotropic medium which extends the one treated in Beghin et al. (Stoch Proc Appl 130:6364–6387, 2020), by improving some of its shortcomings.

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与多参数莱维过程有关的一些随机场族
让 \({\mathbb {R}}^N_+= [0,\infty )^N\).在此,我们将对一类随机场 ((X_t)_{t\in {\mathbb {R}^N_+}\) 做出新的贡献,这类随机场被称为多参数莱维过程。相关的多参数算子半群及其生成器被表示为伪微分算子。我们还提供了一个关于 \((X_t)_{t\in {\mathbb {R}}^N_+}\) 通过子域组成的菲利普斯公式。最后,我们通过所谓的逆随机场定义了 \((X_t)_{t\in {\mathbb {R}}^N_+}\) 的组成,这就产生了有趣的长程依赖特性。作为分析的副产品,我们提出了各向异性介质中的反常扩散模型,该模型扩展了 Beghin 等人的研究(Stoch Proc Appl 130:6364-6387, 2020),改进了其中的一些缺点。
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来源期刊
Journal of Theoretical Probability
Journal of Theoretical Probability 数学-统计学与概率论
CiteScore
1.50
自引率
12.50%
发文量
65
审稿时长
6-12 weeks
期刊介绍: Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.
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