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Related papers: Path-dependent SDEs in Hilbert spaces

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This paper extends the results of Ma, Wu, Zhang, Zhang [11] to the context of path-dependent multidimensional forward-backward stochastic differential equations (FBSDE). By path-dependent we mean that the coefficients of the…

Probability · Mathematics 2022-01-14 Kaitong Hu , Zhenjie Ren , Nizar Touzi

Partial differential equations with discrete (concentrated) state-dependent delays are studied. The existence and uniqueness of solutions with initial data from a wider linear space is proven first and then a subset of the space of…

Analysis of PDEs · Mathematics 2010-11-11 Alexander V. Rezounenko , Petr Zagalak

For a general discrete dynamics on a Banach and Hilbert spaces we give a necessary and sufficient conditions of the existence of bounded solutions under assumption that the homogeneous difference equation admits an exponential dichotomy on…

Dynamical Systems · Mathematics 2017-12-18 Oleksandr Pokutnyi

We prove weak uniqueness of mild solutions for general classes of SPDEs on a Hilbert space. The main novelty is that the drift is only defined on a Sobolev-type subspace and no H\"older-continuity assumptions are required. This framework…

Probability · Mathematics 2024-06-21 Federico Bertacco , Carlo Orrieri , Luca Scarpa

In this work we study the long time behavior of nonlinear stochastic functional-differential equations in Hilbert spaces. In particular, we start with establishing the existence and uniqueness of mild solutions. We proceed with deriving a…

Analysis of PDEs · Mathematics 2020-11-16 Oleksandr Misiats , Viktoriia Mogylova , Oleksandr Stanzhytskyi

The aim of this work is to investigate the conditions for the existence and continuation of a mild solution to the initial value problem of functional-differential equations of neutral type in Banach spaces to the boundary of the domain.…

Analysis of PDEs · Mathematics 2025-02-11 Oleh Perehuda , Andriy Stanzhytskiy , Olha Martynyuk

Let $U,H$ be two separable Hilbert spaces and $T>0$. We consider an SDE which evolves in the Hilbert space $H$ of the form \begin{align} dX(t)=AX(t)dt+\widetilde{\mathscr L}B(X(t))dt+GdW(t), \quad t\in[0,T], \quad X(0)=x \in H, \end{align}…

Probability · Mathematics 2025-03-21 Davide Addona , Davide Augusto Bignamini

We consider a process given as the solution of a one-dimensional stochastic differential equation with irregular, path dependent and time-inhomogeneous drift coefficient and additive noise. H\"older continuity of the Lebesgue density of…

Probability · Mathematics 2016-04-28 David Baños , Paul Krühner

We give a simple proof of the Baillon-Haddad theorem for convex functions defined on open and convex subsets of Hilbert spaces. We also state some generalizations and limitations. In particular, we discuss equivalent characterizations of…

Functional Analysis · Mathematics 2022-04-04 Daniel Wachsmuth , Gerd Wachsmuth

Consider the stochastic differential equation $\mathrm dX_t = -A X_t \,\mathrm dt + f(t, X_t) \,\mathrm dt + \mathrm dB_t$ in a (possibly infinite-dimensional) separable Hilbert space, where $B$ is a cylindrical Brownian motion and $f$ is a…

Probability · Mathematics 2017-06-26 Lukas Wresch

In this paper, we establish the existence and uniqueness of both mild(/variational) solutions and weak (in the sense of PDE) solutions of coupled system of 2D stochastic Chemotaxis-Navier-Stokes equations. The mild/variational solution is…

Probability · Mathematics 2017-02-16 Jianliang Zhai , Tusheng Zhang

In this article we present a general method to rigorously prove existence of strong solutions to a large class of autonomous semi-linear PDEs in a Hilbert space $H^{l}\subset H^{s}(\mathbb{R}^{m})$ ($s\geq1$) via computer-assisted proofs.…

Analysis of PDEs · Mathematics 2024-03-01 Matthieu Cadiot , Jean-Philippe Lessard , Jean-Christophe Nave

We analyze the concepts of analytically weak solutions of stochastic differential equations (SDEs) in Hilbert spaces with time-dependent unbounded operators and give conditions for existence and uniqueness of such solutions. Our studies are…

Functional Analysis · Mathematics 2013-01-31 Benedict Baur , Martin Grothaus , Tan Thanh Mai

The mild Ito formula proposed in Theorem 1 in [Da Prato, G., Jentzen, A., \& R\"ockner, M., A mild Ito formula for SPDEs, arXiv:1009.3526 (2012), To appear in the Trans.\ Amer.\ Math.\ Soc.] has turned out to be a useful instrument to study…

Probability · Mathematics 2021-11-02 Sonja Cox , Arnulf Jentzen , Ryan Kurniawan , Primož Pušnik

We study the dependence of mild solutions to linear stochastic evolution equations on Hilbert space driven by Wiener noise, with drift having linear part of the type $A+\varepsilon G$, on the parameter $\varepsilon$. In particular, we study…

Probability · Mathematics 2021-01-01 Sergio Albeverio , Carlo Marinelli , Elisa Mastrogiacomo

This paper proves the existence of small-amplitude global-in-time unique mild solutions to both the Landau equation including the Coulomb potential and the Boltzmann equation without angular cutoff. Since the well-known works (Guo, 2002)…

Analysis of PDEs · Mathematics 2020-09-18 Renjun Duan , Shuangqian Liu , Shota Sakamoto , Robert M. Strain

We consider a path-dependent Hamilton--Jacobi equation with coinvariant derivatives over the space of continuous functions. We prove two uniqueness results for viscosity (generalized) solutions defined in terms of coinvariantly smooth test…

Analysis of PDEs · Mathematics 2026-04-29 Mikhail I. Gomoyunov

We investigate the longtime behavior of stochastic partial differential equations (SPDEs) with differential operators that depend on time and the underlying probability space. In particular, we consider stochastic parabolic evolution…

Probability · Mathematics 2021-02-10 Christian Kuehn , Alexandra Neamtu , Stefanie Sonner

We study in this paper the wellposedness of path-dependent multidimensional forward-backward stochastic differential equations (FBSDE). By path-dependent we mean that the coefficients of the forward-backward SDE at time t can depend on the…

Probability · Mathematics 2022-01-13 Kaitong Hu

In this paper, we study the regularities of solutions of nonlinear stochastic partial differential equations in the framework of Hilbert scales. Then we apply our general result to several typical nonlinear SPDEs such as stochastic Burgers…

Probability · Mathematics 2008-01-28 Xicheng Zhang