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Erika Hausenblas

Publications and source records attributed to Erika Hausenblas.

41 records · Page 3Linked to original sources
arXiv2012

Controllability and Qualitative properties of the solutions to SPDEs driven by boundary Lévy noise

Let $u$ be the solution to the following stochastic evolution equation (1) du(t,x)& = &A u(t,x) dt + B σ(u(t,x)) dL(t),\quad t>0; u(0,x) = x taking values in an Hilbert space $\HH$, where $L$ is a $\RR$ valued Lévy process, $A:H\to H$ an infinitesimal generator of a strongly continuous semigroup, $σ:H\to \RR$ bounded from below and Lipschitz continuous, and $B:\RR\to H$ a possible unbounded operator. A typical example of such an equation is a stochastic Partial differential equation with boundary Lévy noise. Let $\CP=(\CP_t)_{t\ge 0}$ %{\CP_t:0\le t<\infty}$ the corresponding Markovian semigroup. We show that, if the system (2) du(t) = A u(t)\: dt + B v(t),\quad t>0 u(0) = x is approximate controllable in time $T>0$, then under some additional conditions on $B$ and $A$, for any $x\in H$ the probability measure $\CP_T^\star δ_x$ is positive on open sets of $H$. Secondly, as an application, we investigate under which condition on %$\HH$ and on the Lévy process $L$ and on the operator $A$ and $B$ the solution of Equation [1] is asymptotically strong Feller, respective, has a unique invariant measure. We apply these results to the damped wave equation driven by Lévy boundary noise.

math.PR↗
arXiv2012

Existence and convergence results for infinite dimensional nonlinear stochastic equations with multiplicative noise

The solution $X_n$ to a nonlinear stochastic differential equation of the form $dX_n(t)+A_n(t)X_n(t)\,dt-\tfrac12\sum_{j=1}^N(B_j^n(t))^2X_n(t)\,dt=\sum_{j=1}^N B_j^n(t)X_n(t)dβ_j^n(t)+f_n(t)\,dt$, $X_n(0)=x$, where $β_j^n$ is a regular approximation of a Brownian motion $β_j$, $B_j^n(t)$ is a family of linear continuous operators from $V$ to $H$ strongly convergent to $B_j(t)$, $A_n(t)\to A(t)$, $\{A_n(t)\}$ is a family of maximal monotone nonlinear operators of subgradient type from $V$ to $V'$, is convergent to the solution to the stochastic differential equation $dX(t)+A(t)X(t)\,dt-\frac12\sum_{j=1}^NB_j^2(t)X(t)\,dt=\sum_{j=1}^NB_j(t)X(t)\,dβ_j(t)+f(t) \,dt$, $X(0)=x$. Here $V\subset H\cong H'\subset V'$ where $V$ is a reflexive Banach space with dual $V'$ and $H$ is a Hilbert space. These results can be reformulated in terms of Stratonovich stochastic equation $dY(t)+A(t)Y(t)\,dt=\sum_{j=1}^NB_j(t)Y(t)\circ dβ_j(t)+f(t)\,dt$.

math.PR↗
arXiv2012

A perturbation result for quasi-linear stochastic differential equations in UMD Banach spaces

We consider the effect of perturbations to a quasi-linear parabolic stochastic differential equation set in a UMD Banach space $X$. To be precise, we consider perturbations of the linear part, i.e. the term concerning a linear operator $A$ generating an analytic semigroup. We provide estimates for the difference between the solution to the original equation $U$ and the solution to the perturbed equation $U_0$ in the $L^p(Ω;C([0,T];X))$-norm. In particular, this difference can be estimated $|| R(λ:A)-R(λ:A_0) ||$ for sufficiently smooth non-linear terms. The work is inspired by the desire to prove convergence of space discretization schemes for such equations. In this article we prove convergence rates for the case that $A$ is approximated by its Yosida approximation, and in a forthcoming publication we consider convergence of Galerkin and finite-element schemes in the case that $X$ is a Hilbert space.

math.FA↗