activity
20242026
collaborators

11 papers

math.PR2026

A Small-Noise Analysis of Controlled Functional Differential Equations with Gaussian Noise

David Criens, Max Nendel

We study small-noise asymptotics for controlled functional differential equations driven by additive Gaussian noise. The Gaussian noise is modeled on an abstract Wiener space, cove…

math.OC2026

Risk-sensitive exit-time control for stochastic differential equations with path-dependent coefficients

David Criens, Fabian Fuchs

In this work, we study small-noise asymptotics of risk-sensitive exit-time control problems governed by stochastic differential equations with path-dependent coefficients. Our main…

math.PR2026

Set-valued propagation of chaos for controlled path-dependent McKean-Vlasov SPDEs

David Criens, Moritz Ritter

We develop a limit theory for controlled path-dependent mean field stochastic partial differential equations (SPDEs) within the semigroup approach of Da Prato and Zabczyk. More pre…

math.PR2026

A limit theory for controlled McKean-Vlasov SPDEs

David Criens

We develop a limit theory for controlled mean field stochastic partial differential equations in a variational framework. More precisely, we prove existence results for mean field…

math.OC2025

Representation Theorems for Convex Expectations and Semigroups on Path Space

David Criens, Michael Kupper

The objective of this paper is to investigate the connection between penalty functions from stochastic optimal control, convex semigroups from analysis and convex expectations from…

q-fin.MF2025

On the structure of increasing profits in a 1D general diffusion market with interest rates

Alexis Anagnostakis, David Criens, Mikhail Urusov

In this paper, we investigate a financial market model consisting of a risky asset, modeled as a general diffusion parameterized by a scale function and a speed measure, and a bank…