Convex monotone semigroups and their generators with respect to Γ-convergence

IF 1.6 2区 数学 Q1 MATHEMATICS Journal of Functional Analysis Pub Date : 2025-04-15 Epub Date: 2025-01-27 DOI:10.1016/j.jfa.2025.110841
Jonas Blessing , Robert Denk , Michael Kupper , Max Nendel
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Abstract

We study semigroups of convex monotone operators on spaces of continuous functions and their behaviour with respect to Γ-convergence. In contrast to the linear theory, the domain of the generator is, in general, not invariant under the semigroup. To overcome this issue, we consider different versions of invariant Lipschitz sets which turn out to be suitable domains for weaker notions of the generator. The so-called Γ-generator is defined as the time derivative with respect to Γ-convergence in the space of upper semicontinuous functions. Under suitable assumptions, we show that the Γ-generator uniquely characterizes the semigroup and is determined by its evaluation at smooth functions. Furthermore, we provide Chernoff approximation results for convex monotone semigroups and show that approximation schemes based on the same infinitesimal behaviour lead to the same semigroup. Our results are applied to semigroups related to stochastic optimal control problems in finite and infinite-dimensional settings as well as Wasserstein perturbations of transition semigroups.
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关于Γ-convergence的凸单调半群及其产生器
研究了连续函数空间上凸单调算子的半群及其在Γ-convergence上的行为。与线性理论相反,发生器的定域在半群下一般不是不变的。为了克服这个问题,我们考虑了不同版本的不变Lipschitz集,它们被证明是适合于生成器较弱概念的域。所谓Γ-generator定义为上半连续函数空间中对Γ-convergence的时间导数。在适当的假设下,我们证明了Γ-generator是半群的唯一特征,并由其在光滑函数处的评价决定。此外,我们给出了凸单调半群的Chernoff近似结果,并证明了基于相同无穷小行为的近似方案导致相同的半群。我们的研究结果应用于有限维和无限维随机最优控制问题相关的半群,以及过渡半群的Wasserstein摄动。
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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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