Convergence of Infinitesimal Generators and Stability of Convex Monotone Semigroups

Abstract. Based on the convergence of their infinitesimal generators in the mixed topology, we provide a stability result for strongly continuous convex monotone semigroups on spaces of continuous functions. In contrast to previous results, we do not rely on the theory of viscosity solutions but use a recently established comparison principle which uniquely determines semigroups via their upper [Formula: see text]-generator defined on their upper Lipschitz sets and therefore resembles the classical analogue from the linear case. The framework also allows for discretizations in both time and space and covers a variety of applications. This includes Euler schemes and Yosida-type approximations for upper envelopes of families of linear semigroups, stability results and finite-difference schemes for convex HJB equations, Freidlin–Wentzell-type results, and Markov chain approximations for a class of stochastic optimal control problems.

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Publication Details

Journal
SIAM Journal on Mathematical Analysis
Published
2026-09-11
DOI
https://doi.org/10.1137/25m1724699
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence of Infinitesimal Generators and Stability of Convex Monotone Semigroups

Max Nendel, Jonas Blessing, Michael Kupper
2 citations
SIAM Journal on Mathematical Analysis
Stochastic processes and financial applications
article

Convergence of Infinitesimal Generators and Stability of Convex Monotone Semigroups

Max Nendel, Jonas Blessing, Michael Kupper
article en
2 citations

Abstract

Abstract. Based on the convergence of their infinitesimal generators in the mixed topology, we provide a stability result for strongly continuous convex monotone semigroups on spaces of continuous functions. In contrast to previous results, we do not rely on the theory of viscosity solutions but use a recently established comparison principle which uniquely determines semigroups via their upper [Formula: see text]-generator defined on their upper Lipschitz sets and therefore resembles the classical analogue from the linear case. The framework also allows for discretizations in both time and space and covers a variety of applications. This includes Euler schemes and Yosida-type approximations for upper envelopes of families of linear semigroups, stability results and finite-difference schemes for convex HJB equations, Freidlin–Wentzell-type results, and Markov chain approximations for a class of stochastic optimal control problems.

SIAM Journal on Mathematical AnalysisVol. 58(5)
University of Waterloo (CA), University of Konstanz (DE), ETH Zurich (CH)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 99%
Stochastic processes and financial applications
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