activity
20242026
collaborators

10 papers

math.PR2026

Impact of spinning on the early-warning signs in non-Markovian stochastic systems

Paolo Bernuzzi, Alexandra Blessing, Dennis Rudik

We construct early-warning signals for impending critical transitions in non-Markovian systems. We analyze stochastic forcings such as fractional Brownian motion, fractional Ornste…

math.PR2026

Synchronization by noise for stochastic differential equations driven by fractional Brownian motion

Alexandra Blessing, Mazyar Ghani Varzaneh

We investigate synchronization by noise for stochastic differential equations (SDEs) driven by a fractional Brownian motion (fbm) with Hurst index . Provided that the SD…

math.PR2026

Renormalization destroys a finite time bifurcation in the equation

Alexandra Blessing, Nicolas Perkowski, Chara Zhu

We study the singular equation at a pitchfork bifurcation of the underlying deterministic dynamics. To this aim, we linearize the SPDE along its stationary solution and sho…

math.PR2025

On the approximation of finite-time Lyapunov exponents for the stochastic Burgers equation

Alexandra Blessing, Dirk Blömker

We analyze stochastic partial differential equations (SPDEs) with quadratic nonlinearities close to a change of stability. To this aim we compute finite-time Lyapunov exponents (FT…

math.PR2025

Taylor-like approximations of center manifolds for rough differential equations

Alexandra Blessing, Dennis Rudik

The dynamics of rough differential equations (RDEs) has recently received a lot of interest. For example, the existence of local random center manifolds for RDEs has been establish…

math.PR2025

An integrable bound for semilinear rough partial differential equations with unbounded diffusion coefficients

Alexandra Blessing, Mazyar Ghani Varzaneh

This work develops moment bounds for the controlled rough path norm of the solution of semilinear rough partial differential equations.~The novel aspects are two-fold: first we con…

math.PR2025

Pathwise mild solutions for superlinear stochastic evolution equations and their attractors

Alexandra Blessing, Tim Seitz, Stefanie Sonner +1

We investigate stochastic parabolic evolution equations with time-dependent random generators and locally Lipschitz continuous drift terms. Using pathwise mild solutions, we constr…

math.DS2024

Detecting random bifurcations via rigorous enclosures of large deviations rate functions

Alexandra Blessing, Alex Blumenthal, Maxime Breden +1

The main goal of this work is to provide a description of transitions from uniform to non-uniform snychronization in diffusions based on large deviation estimates for finite time L…

math.PR2024

Quantitative instability for stochastic scalar reaction-diffusion equations

Alexandra Blessing, Tommaso Rosati

This work studies the instability of stochastic scalar reaction diffusion equations, driven by a multiplicative noise that is white in time and smooth in space, near to zero, which…

math.PR2024

Concentration estimates for SPDEs driven by fractional Brownian motion

Nils Berglund, Alexandra Blessing

The main goal of this work is to provide sample-path estimates for the solution of slowly time-dependent SPDEs perturbed by a cylindrical fractional Brownian motion. Our strategy i…