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There have been significant recent advances in our understanding of the potential use and limitations of early-warning signs for predicting drastic changes, so called critical transitions or tipping points, in dynamical systems. A focus of…

Pattern Formation and Solitons · Physics 2015-03-06 Karna Gowda , Christian Kuehn

We consider a parabolic stochastic partial differential equation (SPDE) on $[0\,,1]$ that is forced with multiplicative space-time white noise with a bounded and Lipschitz diffusion coefficient and a drift coefficient that is locally…

Probability · Mathematics 2026-03-26 Mohammud Foondun , Davar Khoshnevisan , Eulalia Nualart

Consider the stochastic evolution equation in a separable Hilbert space with a nice multiplicative noise and a locally Dini continuous drift. We prove that for any initial data the equation has a unique (possibly explosive) mild solution.…

Probability · Mathematics 2015-01-13 Feng-Yu Wang

We study the wellposedness and pathwise regularity of semilinear non-autonomous parabolic evolution equations with boundary and interior noise in an $L^p$ setting. We obtain existence and uniqueness of mild and weak solutions. The boundary…

Probability · Mathematics 2010-01-14 Roland Schnaubelt , Mark Veraar

By extending to the stochastic setting the classical vanishing viscosity approach we prove the existence of suitably weak solutions of a class of nonlinear stochastic evolution equation of rate-independent type. Approximate solutions are…

Probability · Mathematics 2023-07-27 Luca Scarpa , Ulisse Stefanelli

We study whether the solutions of a fully nonlinear, uniformly parabolic equation with superquadratic growth in the gradient satisfy initial and homogeneous boundary conditions in the classical sense, a problem we refer to as the classical…

Analysis of PDEs · Mathematics 2017-10-31 Alexander Quaas , Andrei Rodríguez

We study the Cauchy problem for fully nonlinear (stochastic) parabolic partial differential equations. We provide both in deterministic and stochastic case the existence of a maximal defined solution for the problem and we provide suitable…

Analysis of PDEs · Mathematics 2018-04-12 Antonio Agresti

We propose an extension of the classical variational theory of evolution equations that accounts for dynamics also in possibly non-reflexive and non-separable spaces. The pivoting point is to establish a novel variational structure, based…

Analysis of PDEs · Mathematics 2021-09-17 Alexander Menovschikov , Anastasia Molchanova , Luca Scarpa

We prove existence and uniqueness results for (mild) solutions to some non-linear parabolic evolution equations with a rough forcing term. Our method of proof relies on a careful exploitation of the interplay between the spatial and time…

Probability · Mathematics 2009-11-03 Thomas Cass , Zhongmin Qian , Jan Tudor

We consider spatially extended conductance based neuronal models with noise described by a stochastic reaction diffusion equation with additive noise coupled to a control variable with multiplicative noise but no diffusion. We only assume a…

Probability · Mathematics 2020-01-16 Martin Sauer , Wilhelm Stannat

In this thesis we consider so-called linear evolutionary problems, a class of linear partial differential equations covering classical elliptic, parabolic and hyperbolic equations from mathematical physics as well as classes of…

Analysis of PDEs · Mathematics 2017-07-10 Sascha Trostorff

We prove a maximum principle for mild solutions to stochastic evolution equations with (locally) Lipschitz coefficients and Wiener noise on weighted $L^2$ spaces. As an application, we provide sufficient conditions for the positivity of…

Analysis of PDEs · Mathematics 2020-01-01 Carlo Marinelli

The Freidlin-Wentzell large deviation principle is established for the distributions of stochastic evolution equations with general monotone drift and small multiplicative noise. As examples, the main results are applied to derive the large…

Probability · Mathematics 2010-05-06 Wei Liu

We consider the Cauchy problem for a semilinear stochastic differential inclusion in a Hilbert space. The linear operator generates a strongly continuous semigroup and the nonlinear term is multivalued and satisfies a condition which is…

Probability · Mathematics 2007-05-23 Adam Jakubowski , Mikhail Kamenskii , Paul Raynaud De Fitte

In this paper, we would like to consider the Cauchy problem for a multi-component weakly coupled system of semi-linear $\sigma$-evolution equations with double dissipation for any $\sigma\ge 1$. The first main purpose is to obtain the…

Analysis of PDEs · Mathematics 2023-11-14 Yingli Qiao , Tuan Anh Dao

A class of stochastic parabolic equations with singular potentials is analysed in the chaos expansion setting where the Wick product is used to give sense to the product of generalized stochastic processes. For the analysis of such…

Analysis of PDEs · Mathematics 2025-01-07 Snežana Gordić , Tijana Levajković , Ljubica Oparnica

In this paper we prove the boundedness and H\"older continuity of quasilinear elliptic problems involving variable exponents for a homogeneous Dirichlet and a nonhomogeneous Neumann boundary condition, respectively. The novelty of our work…

Analysis of PDEs · Mathematics 2022-01-10 Ky Ho , Yun-Ho Kim , Patrick Winkert , Chao Zhang

We establish the existence and uniqueness of solutions to an abstract nonlinear equation driven by a multiplicative noise of L\'evy type, which covers many hydrodynamical models including 2D Navier-Stokes equations, 2D MHD equations, the 2D…

Probability · Mathematics 2021-05-11 Xuhui Peng , Juan Yang , Jianliang Zhai

This work concerns a type of path-dependent multivalued McKean-Vlasov stochastic differential equations. First of all, we prove the well-posedness for path-dependent multivalued stochastic differential equations under the Lipschitz…

Probability · Mathematics 2025-08-22 Ying Ma , Huijie Qiao

We discuss the ergodic properties of quasi-Markovian stochastic differential equations, providing general conditions that ensure existence and uniqueness of a smooth invariant distribution and exponential convergence of the evolution…

Probability · Mathematics 2018-11-13 Benedict Leimkuhler , Matthias Sachs