collaborators

9 papers

math.AP2026

Continuous Data Assimilation for the 2D Navier-Stokes Equations from Partial Tangential Boundary Observations

Gianmarco Del Sarto, Buddhika Priyasad

We study continuous data assimilation for the two-dimensional Navier--Stokes equations on a smooth, bounded, connected domain with Navier-slip boundary conditions, using no interio…

math.AP2026

Continuous Data Assimilation for Semilinear Parabolic Equations with Multiplicative Observation Noise

Jochen Bröcker, Gianmarco Del Sarto, Matthias Hieber +2

The problem of continuous data assimilation for semilinear parabolic equations based on partial observations corrupted by noise is investigated. The noise is allowed to be multipli…

math.AP2026

Noise-Driven Free Boundaries In The Compressible Navier-Stokes Equations

Gianmarco Del Sarto, Matthias Hieber, Tarek Zöchling

A stochastic free-boundary problem for the three-dimensional barotropic compressible Navier--Stokes equations is studied. The main feature of the model is that the free boundary is…

math.DS2026

Optimal response for stochastic differential equations in with perturbations on the drift term

Gianmarco Del Sarto, Franco Flandoli, Stefano Galatolo +2

We study stochastic differential equations on the -dimensional flat torus with drift and perturbation coefficients in and…

math.PR2026

Global well-posedness for small data in a 3D temperature-velocity model with Dirichlet boundary noise

Gianmarco Del Sarto, Marta Lenzi

We study a three-dimensional Boussinesq-type temperature-velocity system on a bounded smooth domain , where the velocity solves the Na…

math.PR2026

A Multiplicative-Noise Mechanism for Variability Amplification under Radiative Forcing in an Arctic Energy-Balance Model

Gianmarco Del Sarto, Franco Flandoli, Marta Lenzi

We propose and analyse a mechanism by which -driven radiative forcing can increase Arctic temperature variability in a stochastic Sellers-type energy-balance model.…