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We implement a Laplace method for the renormalised solution to the generalised 2D Parabolic Anderson Model (gPAM) driven by a small spatial white noise. Our work rests upon Hairer's theory of regularity structures which allows to generalise…

Probability · Mathematics 2022-03-22 Peter K. Friz , Tom Klose

We consider the variance renormalisation of a singular SPDE for which a Da Prato-Debussche trick is not applicable. The example taken is the $2$-dimensional generalised parabolic Anderson model (gPAM), driven by a much rougher than white…

Probability · Mathematics 2026-02-20 Máté Gerencsér , Yueh-Sheng Hsu

In this article we present a $W^n_2$-theory of stochastic parabolic partial differential systems. In particular, we focus on non-divergent type. The space domains we consider are $\bR^d$, $\bR^d_+$ and eventually general bounded…

Probability · Mathematics 2011-03-07 Kyeong-Hun Kim , Kijung Lee

We study semilinear rough stochastic partial differential equations as introduced in [Gerasimovi{\v{c}}s, Hairer; EJP 2019]. We provide $\mathcal{L}^p(\Omega)$-integrable a priori bounds for the solution and its linearization in case the…

Probability · Mathematics 2023-10-31 Mazyar Ghani Varzaneh , Sebastian Riedel

We prove a support theorem of the type of Stroock-Varadhan for solutions of stochastic variational inequalities.

Probability · Mathematics 2010-05-19 Jiagang Ren , Siyan Xu

We consider backward problems for semilinear coupled parabolic systems in bounded domains. We prove conditional stability estimates for linear and semilinear systems of strongly coupled parabolic equations involving general semilinearities.…

Analysis of PDEs · Mathematics 2024-05-07 S. E. Chorfi , M. Yamamoto

In this paper we study parabolic stochastic partial differential equations defined on arbitrary bounded domain $\cO \subset \bR^d$ allowing Hardy inequality: $$ \int_{\cO}|\rho^{-1}g|^2\,dx\leq C\int_{\cO}|g_x|^2 dx, \quad \forall g\in…

Probability · Mathematics 2011-09-23 Kyeong-Hun Kim

We study function-valued solutions of a class of stochastic partial differential equations, involving operators with polynomially bounded coefficients. We consider semilinear equations under suitable parabolicity hypotheses. We provide…

Probability · Mathematics 2022-06-16 Alessia Ascanelli , Sandro Coriasco , André Suß

We present in this note a local in time well-posedness result for the singular $2$-dimensional quasilinear generalized parabolic Anderson model equation $$ \partial_t u - a(u)\Delta u = g(u)\xi $$ The key idea of our approach is a simple…

Analysis of PDEs · Mathematics 2016-11-28 Ismael Bailleul , Arnaud Debussche , Martina Hofmanova

We study the long-time asymptotics of the total mass of the solution to the parabolic Anderson model (PAM) on a supercritical Galton-Watson random tree with bounded degrees. We identify the second-order contribution to this asymptotics in…

Probability · Mathematics 2020-07-29 Frank den Hollander , Wolfgang König , Renato S. dos Santos

We consider a non-linear parabolic partial differential equation (PDE) on $\mathbb R^d$ with a distributional coefficient in the non-linear term. The distribution is an element of a Besov space with negative regularity and the non-linearity…

Analysis of PDEs · Mathematics 2022-09-21 Elena Issoglio

We prove a Stroock-Varadhan's type support theorem for a stochastic partial differential equation (SPDE) on the real line with a noise term driven by a cylindrical Wiener process on $L_2 (\mathbb{R})$. The main ingredients of the proof are…

Probability · Mathematics 2019-02-07 Timur Yastrzhembskiy

We study an inverse source problem for a semilinear parabolic equation in a bounded domain, where the nonlinearity depends on the unknown function and its gradient through a quadratic reaction term and a Burgers-type convection term. From…

Analysis of PDEs · Mathematics 2026-01-22 Hu Xirui

In this paper parabolic random partial differential equations and parabolic stochastic partial differential equations driven by a Wiener process are considered. A deterministic, tensorized evolution equation for the second moment and the…

Probability · Mathematics 2013-07-16 Annika Lang , Stig Larsson , Christoph Schwab

We study in this short note a counterpart to the quasilinear generalized parabolic Anderson model (gPAM) on the 2-dimensional torus where the coefficients are nonlocal functionals of the solution. Under a positivity assumption on the…

Analysis of PDEs · Mathematics 2024-05-29 I. Bailleul , H. Eulry

Using Gronwall inequality we will investigate the Ulam-Hyers and generalized Ulam-Hyers-Rassias stabilities for the solution of a fractional order pseudoparabolic partial differential equation.

Classical Analysis and ODEs · Mathematics 2018-05-16 J. Vanterler da C. Sousa , E. Capelas de Oliveira

We prove an existence and uniqueness result for Neumann boundary problem of a parabolic partial differential equation (PDE for short) with a singular nonlinear divergence term which can only be understood in a weak sense. A probabilistic…

Probability · Mathematics 2018-02-22 Xue Yang , Jing Zhang

The subject is parametrices for semi-linear problems, based on parametrices for linear boundary problems and on non-linearities that decompose into solution-dependent linear operators acting on the solutions. Non-linearities of product type…

Analysis of PDEs · Mathematics 2016-12-02 Jon Johnsen

Motivated by applications to probability and mathematical finance, we consider a parabolic partial differential equation on a half-space whose coefficients are suitably Holder continuous and allowed to grow linearly in the spatial variable…

Analysis of PDEs · Mathematics 2016-04-08 Paul M. N. Feehan , Camelia Pop

In this paper a new class of generalized backward doubly stochastic differential equations is investigated. This class involves an integral with respect to an adapted continuous increasing process. A probabilistic representation for…

Probability · Mathematics 2009-09-29 Brahim Boufoussi , Jan Van Casteren , N. Mrhardy
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