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math.PR2026

On the Analysis of a Singular Stochastic Volterra Differential Equation driven by a Wiener Noise

Emmanuel Coffie, Olivier Menoukeu-Pamen, Frank Proske

In this article, we construct unique strong solutions to a class of stochastic Volterra differential equations driven by a singular drift vector field and a Wiener noise. Further,…

math.PR2026

Optimal Stopping for Systems Driven by the Brownian Sheet

Nacira Agram, Bernt Oksendal, Frank Proske +1

We investigate optimal stopping problems for systems driven by the Brownian sheet. Our analysis is divided into two parts. In the first part we derive explicit solutions to two opt…

math.PR2025

Smoothness of solutions of hyperbolic stochastic partial differential equations with -vector fields

Antoine-Marie Bogso, Moustapha Dieye, Olivier Menoukeu Pamen +1

In this paper we are interested in a quasi-linear hyperbolic stochastic differential equation (HSPDE) when the vector field is merely bounded and measurable. Although the determini…

math.PR2025

Strong solutions of fractional Brownian sheet driven SDEs with integrable drift

Antoine-Marie Bogso, Olivier Menoukeu Pamen, Frank Proske

We prove the existence of a unique Malliavin differentiable strong solution to a stochastic differential equation on the plane with merely integrable coefficients driven by the fra…

math.PR2025

Small Noise Perturbations in Multidimensional Case

Andrey Pilipenko, Frank Norbert Proske

In this paper we study zero-noise limits of stable noise perturbed ODE's which are driven by an irregular vector field with asymptotics $% A(x)\sim \overline{a}(\frac{x}{\…

math.PR2024

Fokker-Planck equations for conditional McKean-Vlasov systems driven by Brownian sheets

Nacira Agram, Bernt Øksendal, Frank Proske +1

We investigate conditional McKean-Vlasov equations driven by time-space white noise, motivated by the propagation of chaos in an N-particle system with space-time Ornstein-Uhlenbec…