Loewner Theory for Bernstein Functions I: Evolution Families and Differential Equations

IF 1.2 2区 数学 Q1 MATHEMATICS Constructive Approximation Pub Date : 2024-01-22 DOI:10.1007/s00365-023-09675-9
Pavel Gumenyuk, Takahiro Hasebe, José-Luis Pérez
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Abstract

One-parameter semigroups of holomorphic functions appear naturally in various applications of Complex Analysis, and in particular, in the theory of (temporally) homogeneous branching processes. A suitable analogue of one-parameter semigroups in the inhomogeneous setting is the notion of a (reverse) evolution family. In this paper we study evolution families formed by Bernstein functions, which play the role of Laplace exponents for inhomogeneous continuous-state branching processes. In particular, we characterize all Herglotz vector fields that generate such evolution families and give a complex-analytic proof of a qualitative description equivalent to Silverstein’s representation formula for the infinitesimal generators of one-parameter semigroups of Bernstein functions. We also establish a sufficient condition for families of Bernstein functions, satisfying the algebraic part in the definition of an evolution family, to be absolutely continuous and hence to be described as solutions to the generalized Loewner–Kufarev differential equation. Most of these results are then applied in the sequel paper [35] to study continuous-state branching processes.

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伯恩斯坦函数的卢瓦纳理论 I:演化族和微分方程
全形函数的单参数半群自然出现在复分析的各种应用中,特别是在(时间上)同质分支过程的理论中。单参数半群在非均质环境中的一个合适类比是(反向)演化族的概念。本文研究伯恩斯坦函数形成的演化族,伯恩斯坦函数在非均质连续态分支过程中扮演拉普拉斯指数的角色。特别是,我们描述了生成此类演化族的所有赫格洛茨矢量场的特征,并给出了伯恩斯坦函数单参数半群无穷小生成器的等价于西尔弗斯坦表示公式的定性描述的复解析证明。我们还为满足演化族定义中代数部分的伯恩斯坦函数族建立了一个充分条件,即伯恩斯坦函数族是绝对连续的,因此可以描述为广义卢瓦纳-库法里夫微分方程的解。这些结果中的大部分随后在续篇论文[35]中被应用于研究连续态分支过程。
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来源期刊
CiteScore
3.50
自引率
3.70%
发文量
35
审稿时长
1 months
期刊介绍: Constructive Approximation is an international mathematics journal dedicated to Approximations and Expansions and related research in computation, function theory, functional analysis, interpolation spaces and interpolation of operators, numerical analysis, space of functions, special functions, and applications.
期刊最新文献
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