activity
20242026
collaborators

7 papers

math.OC2026

Stochastic Control of Addiction with State-Dependent Jump Relapse

Dounia Aissi, Ioana Ciotir, Dan Goreac +1

We study a continuous-time rational addiction model where addiction capital follows a piecewise deterministic Markov process with state-dependent jumps capturing relapse and recove…

math.OC2025

Optimality Conditions for Control Systems Governed by Monotone Stochastic Evolution Equations

Ioana Ciotir, Nicolas Forcadel, Piero Visconti +1

We study a class of optimal control problems governed by nonlinear stochastic equations of monotone type under certain coercivity and linear growth conditions. We give first order…

math.PR2025

Stochastic evolution equations with nonlinear diffusivity, recent progress and critical cases

Ioana Ciotir, Dan Goreac, Jonas M. Tölle

This short survey article stems from recent progress on critical cases of stochastic evolution equations in variational formulation with additive, multiplicative or gradient noises…

math.AP2025

The Stefan problem with mushy region as a scaling limit of stochastic PDE with turbulent transport

Ioana Ciotir, Franco Flandoli, Dan Goreac

This work establishes a scaling limit theorem for the Stefan problem incorporating a mushy region, demonstrating that solutions to stochastic variants with turbulent transport term…

math.AP2025

An Existence Result for a Stochastic Stefan Problem With Mushy Region and Turbulent Transport Noise

Ioana Ciotir, Franco Flandoli, Dan Goreac

This work is devoted to the proof of the existence of a martingale solution for a complex version of the stochastic Stefan problem. This particular formulation incorporates two imp…

math.AP2024

A Stochastic Porous Media Schr{ö}dinger Equation: Feynman-type Motivation, Well-Posedness and Control Interpretation

Ioana Ciotir, Dan Goreac, Juan Li +1

This paper's aim is threefold. First, using Feynman's path approach to the derivation of theclassical Schr{ö}dinger's equation in [6] and by introducing a slight path (or wave) de…