activity
20082026
most citedSelf-repelling diffusions via an infinite dimensional approach

21 citations · 47 across the 17 of their papers we have counts for

collaborators

22 papers

math.PR2026

Stochastic Porous Media Equations With Nonhomogeneous Dirichlet Boundary Conditions

Dan Goreac, Ioana Ciotir, Juan Li +1

We aim at studying the well-posedness of stochastic porous media equation problems under nonhomogeneous Dirichlet boundary. We obtain an unconventional homogeneous Dirichlet bounda…

math.PR2026

Viability problems for SDEs in a general Gelfand triple setup using a variational approach

Ioana Ciotir, Aureliu Ionescu, Eduard Rotenstein

We establish viability conditions for a broad general class of stochastic differential equations formulated within the variational approach,% \[ dX_{t}=A\left( X_{t}\right) dt+B\le…

math.AP2026

Sharp decay rate and asymptotic simplification for a quasilinear heat equation

Maryam Al Hajjar, Ioana Ciotir, Matthias Täufer

We study the decay rate for a quasilinear heat equation of the form . The term on the right-hand-side is interpreted as a nonlinear per…

math.AP2026

The vanishing latent heat limit of a stochastic Stefan problem : An error estimate

Ioana Ciotir, Perla El Kettani, Dan Goreac +1

The purpose of this paper is to extend an article by Hilhorst, Mimura and Sch{ä}tzle [18] about the limit as the latent heat coefficient tends to zero of a two-phase Stefan problem…

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…