activity
20102023
most citedGalerkin approximations for the stochastic Burgers equation

104 citations · 270 across the 11 of their papers we have counts for

collaborators

11 papers

math.PR2023

Finite-time Lyapunov exponents for SPDEs with fractional noise

Alexandra Blessing, Dirk Blömker

We estimate the finite-time Lyapunov exponents for a stochastic partial differential equation driven by a fractional Brownian motion (fbm) with Hurst index close to a b…

math.PR2023

Bifurcation theory for SPDEs: finite-time Lyapunov exponents and amplitude equations

Dirk Blömker, Alexandra Neamtu

We consider a stochastic partial differential equation close to bifurcation of pitchfork type, where a one-dimensional space changes its stability. For finite-time Lyapunov exponen…

math.DS2021

Modulation and amplitude equations on bounded domains for nonlinear SPDEs driven by cylindrical α-stable Lévy processes

Shenglan Yuan, Dirk Blömker

In the present work, we establish the approximation of nonlinear stochastic partial differential equation (SPDE) driven by cylindrical α-stable Lévy processes via modulation or amp…

math.NA2018★ 57 cited

Well Posedness and Convergence Analysis of the Ensemble Kalman Inversion

Dirk Blömker, Claudia Schillings, Philipp Wacker +1

The ensemble Kalman inversion is widely used in practice to estimate unknown parameters from noisy measurement data. Its low computational costs, straightforward implementation, an…

math.PR2017★ 2 cited

Random initial conditions for semi-linear PDEs

Dirk Blömker, Giuseppe Cannizzaro, Marco Romito

We analyze the effect of random initial conditions on the local well--posedness of semi--linear PDEs, to investigate to what extent recent ideas on singular stochastic PDEs can pro…

math.PR2017★ 1 cited

A strongly convergent numerical scheme from Ensemble Kalman inversion

Dirk Blömker, Claudia Schillings, Philipp Wacker

The Ensemble Kalman methodology in an inverse problems setting can be viewed as an iterative scheme, which is a weakly tamed discretization scheme for a certain stochastic differen…