NONLINEAR SEMIGROUPS AND LIMIT THEOREMS FOR CONVEX EXPECTATIONS

成果类型:
Article
署名作者:
Blessing, Jonas; Kupper, Michael
署名单位:
Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Konstanz
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/24-AAP2126
发表日期:
2025
页码:
779-821
关键词:
viscosity solutions large numbers RISK extension
摘要:
Based on the Chernoff approximation, we provide a general approximation result for convex monotone semigroups which are continuous w.r.t. the mixed topology on suitable spaces of continuous functions. Starting with a family (I (t))t >= 0 of operators, the semigroup is constructed as the limit S(t)f := limn ->infinity I (t/n)n f and is uniquely determined by the time derivative I'(0)f for smooth functions. We identify explicit conditions for the generating family (I (t))t >= 0 that are transferred to the semigroup (S(t))t >= 0 and can easily be verified in applications. Furthermore, there is a structural link between Chernoff type approximations for nonlinear semigroups and law of large numbers and central limit theorem type results for convex expectations. The framework also includes large deviation results.
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