一类特殊的吉布斯硬核点过程对非重叠颗粒随机图样的建模

IF 0.8 4区 数学 Q3 MATHEMATICS, APPLIED Stochastic Analysis and Applications Pub Date : 2023-10-09 DOI:10.1080/07362994.2023.2262551
Silvia Sabatini, Elena Villa
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引用次数: 0

摘要

摘要受材料科学中形式动力学问题的启发,我们考虑了一类关于非齐次有限泊松点过程的密度过程,该过程可视为经典施特劳斯硬核过程的推广。我们证明了强度测度和空洞概率的表达式,以及上界和下界。还讨论了一些特殊的感兴趣的案例,与文献的联系,以及matsamrn I和Strauss硬核过程之间的比较。我们将这类特殊的点过程应用于非重叠晶粒模式的建模以及特定出生和生长过程的平均体积密度的研究。关键词:Gibbs硬核点工艺强度细菌颗粒模型平均体积密度ams分类2020::60G5560D05致谢作者要感谢Harison S. Ventura提供的数据,以及联邦佛罗里达大学P.R. Rios教授对应用问题的富有成效的讨论。EV是意大利国家数学研究所(INdAM)下属的数学分析、概率和应用国家小组(GNAMPA)的成员。作者报告无利益竞争需要申报。
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On a special class of gibbs hard-core point processes modeling random patterns of non-overlapping grains
Abstract.Inspired by issues of formal kinetics in materials science, we consider a class of processes with density with respect to an inhomogeneous finite Poisson point process, which may be regarded as a generalization of the classical Strauss hard-core process. We prove expressions for the intensity measure and the void probabilities, together with upper and lower bounds. A discussion on some special cases of interest, links with literature and a comparison between Matérn I and Strauss hard-core process are also provided. We apply such a special class of point processes in modeling patterns of non-overlapping grains and in the study of the mean volume density of particular birth-and-growth processes.Keywords: Gibbs hard-core point processintensitygerm-grain modelmean volume densityAMS Classification 2020:: 60G5560D05 AcknowledgmentsThe authors would like to thank Harison S. Ventura for the figures, and Professor P.R. Rios of Universidade Federal Fluminense for fruitful discussions on application problems.EV is member of the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM).Disclosure statementThe authors report there are no competing interests to declare.
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来源期刊
Stochastic Analysis and Applications
Stochastic Analysis and Applications 数学-统计学与概率论
CiteScore
2.70
自引率
7.70%
发文量
32
审稿时长
6-12 weeks
期刊介绍: Stochastic Analysis and Applications presents the latest innovations in the field of stochastic theory and its practical applications, as well as the full range of related approaches to analyzing systems under random excitation. In addition, it is the only publication that offers the broad, detailed coverage necessary for the interfield and intrafield fertilization of new concepts and ideas, providing the scientific community with a unique and highly useful service.
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