Markov dynamics on the cone of discrete Radon measures

IF 0.2 Q4 MATHEMATICS
D. Finkelshtein, Y. Kondratiev, Peter Kuchling
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引用次数: 2

Abstract

Configuration spaces form an important and actively developing area in the infinite dimensional analysis. The spaces not only contain rich mathematical structures which require non-trivial combination of continuous and combinatoric analysis, they also provide a natural mathematical framework for the applications to mathematical physics, biology, ecology, and beyond. Spaces of discrete Radon measures (DRM) may be considered as generalizations of configuration spaces. Main peculiarity of a DRM is that its support is typically not a configuration (i.e. not a locally finite set). The latter changes drastically the techniques for the study of the spaces of DRM. Spaces of DRM have various motivations coming from mathematics and applications. In particular, random DRM appear in the context of the Skorokhod theorem [17] in the theory of processes with independent increments. Next, in the representation theory of current groups, the role of measures on spaces of DRM was clarified in fundamental works by Gelfand, Graev, and Vershik; see [15] for the development of this approach. Additionally, DRM gives a useful technical equipment in the study of several models in mathematical physics, biology, and ecology. In the present paper, we start with a brief overview of the known facts about the spaces of DRM (Section 2). In [10], the concept of Plato subspaces of the spaces of marked configurations was introduced. Using this, one can define topological, differential and functional structures on spaces of DRM, as well as transfer the harmonic analysis considered in [11] to the spaces of DRM. This allows us to extend the study of nonequilibrium dynamics, see e.g. [8, 12, 13], to the spaces of DRM.
离散Radon测度锥上的马尔可夫动力学
构形空间是无限维分析中一个重要而活跃的研究领域。该空间不仅包含丰富的数学结构,需要连续分析和组合分析的非平凡组合,而且为数学物理、生物学、生态学等领域的应用提供了一个自然的数学框架。离散氡测度空间(DRM)可以看作是构形空间的推广。DRM的主要特点是它的支持通常不是配置(即不是局部有限集)。后者极大地改变了研究DRM空间的技术。DRM的空间有来自数学和应用的各种动机。特别地,随机DRM出现在具有独立增量的过程理论中的Skorokhod定理[17]的背景下。其次,在当前群的表示理论中,Gelfand、Graev和Vershik在基础著作中阐明了DRM的测度对空间的作用;有关这种方法的发展,请参阅[15]。此外,DRM为研究数学物理、生物学和生态学中的几种模型提供了有用的技术装备。在本文中,我们首先简要概述了关于DRM空间的已知事实(第2节)。在[10]中,引入了标记构型空间的Plato子空间的概念。利用它,可以定义DRM空间上的拓扑结构、微分结构和泛函结构,并将[11]中所考虑的谐波分析转移到DRM的空间中。这使得我们可以将非平衡动力学的研究扩展到DRM的空间,例如[8,12,13]。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
25 weeks
期刊介绍: Methods of Functional Analysis and Topology (MFAT), founded in 1995, is a peer-reviewed arXiv overlay journal publishing original articles and surveys on general methods and techniques of functional analysis and topology with a special emphasis on applications to modern mathematical physics.
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