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相关论文: A note on doubly nonlinear SPDEs with singular dri…

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In this paper, we establish large deviation principle for the strong solution of a doubly nonlinear PDE driven by small multiplicative Brownian noise. Motononicity arguments and the weak convergence approach have been exploited in the…

概率论 · 数学 2022-12-27 Ananta K Majee

We prove gradient estimates for transition Markov semigroups $(P_t)$ associated to SDEs driven by multiplicative Brownian noise having possibly unbounded $C^1$-coefficients, without requiring any monotonicity type condition. In particular,…

概率论 · 数学 2018-09-25 Giuseppe Da Prato , Enrico Priola

We investigate the existence and the singular limit of normalized ground states for focusing doubly nonlinear Schr\"odinger equations with both standard and concentrated nonlinearities on two-dimensional square grids. First, we provide…

偏微分方程分析 · 数学 2025-11-04 Daniele Barbera , Filippo Boni , Simone Dovetta , Lorenzo Tentarelli

We establish weak existence and uniqueness for random field solutions of the one-dimensional SPDE \[ d_tX_t = \frac{1}{2}\Delta X_t +h(X_t)+ \sqrt{X_t}\dot{W}, \quad t\geq 0,\] where $\dot{W}$ is space-time white noise and $h$ is a bounded…

概率论 · 数学 2026-02-03 Leonid Mytnik , Johanna Weinberger

We prove existence and uniqueness of solutions to a nonlinear stochastic evolution equation on the $d$-dimensional torus with singular $p$-Laplace-type or total variation flow-type drift with general sublinear doubling nonlinearities and…

偏微分方程分析 · 数学 2019-09-27 Jonas M. Tölle

We establish the well-posedness of stochastic differential equations possessing degenerate diffusions and singular drifts. We prove that SDEs defined on the homogeneous Carnot group, whose hypoelliptic diffusion part is given by the…

概率论 · 数学 2018-10-08 Kyeongsik Nam

This paper deals with the backward Euler method applied to semilinear parabolic stochastic partial differential equations (SPDEs) driven by additive noise. The SPDE is discretized in space by the finite element method and in time by the…

数值分析 · 数学 2020-01-01 Jean Daniel Mukam , Antoine Tambue

The main goal of this paper is to study the parameter estimation problem, using the Bayesian methodology, for the drift coefficient of some linear (parabolic) SPDEs driven by a multiplicative noise of special structure. We take the spectral…

统计理论 · 数学 2019-03-05 Ziteng Cheng , Igor Cialenco , Ruoting Gong

We consider second-order divergence form uniformly parabolic and elliptic PDEs with bounded and $VMO_{x}$ leading coefficients and possibly linearly growing lower-order coefficients. We look for solutions which are summable to the $p$th…

偏微分方程分析 · 数学 2009-09-30 N. V. Krylov

This article is devoted to the analysis of semilinear, parabolic, Stochastic Partial Differential Equations, with slow and fast time scales. Asymptotically, an averaging principle holds: the slow component converges to the solution of…

概率论 · 数学 2018-10-16 Charles-Edouard Bréhier

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…

概率论 · 数学 2019-02-07 Timur Yastrzhembskiy

In this paper, we introduce a novel first-order derivative for functions on a lattice graph, which extends the discrete Laplacian and generalizes the theory of discrete PDEs on lattices. First, we establish the well-posedness of generalized…

偏微分方程分析 · 数学 2024-10-29 Jiajun Wang

This paper aims to investigate the numerical approximation of a general second order parabolic stochastic partial differential equation(SPDE) driven by multiplicative and additive noise. Our main interest is on such SPDEs where the…

数值分析 · 数学 2020-11-19 Jean Daniel Mukam , Antoine Tambue

We prove pathwise uniqueness for a class of stochastic differential equations (SDE) on a Hilbert space with cylindrical Wiener noise, whose nonlinear drift parts are sums of the sub-differential of a convex function and a bounded part. This…

概率论 · 数学 2016-06-28 G. Da Prato , F. Flandoli , M. Röckner , A. Yu. Veretennikov

In this paper, we study a class of slow-fast stochastic partial differential equations with multiplicative Wiener noise. Under some appropriate conditions, we prove the slow component converges to the solution of the corresponding averaged…

概率论 · 数学 2021-05-31 Yi Ge , Xiaobin Sun , Yingchao Xie

By employing a suitable multiplicative It\^o noise with radial structure and with more than linear growth, we show the existence of a unique, global-in-time, strong solution for the stochastic Euler equations in two and three dimensions.…

概率论 · 数学 2025-05-30 Marco Bagnara , Mario Maurelli , Fanhui Xu

In this paper we establish the strong existence, pathwise uniqueness and a comparison theorem to a stochastic partial differential equation driven by Gaussian colored noise with non-Lipschitz drift, H\"older continuous diffusion…

概率论 · 数学 2020-06-02 Jie Xiong , Xu Yang

In this article, we study a nonlinear stochastic control problem perturbed by multiplicative Levy noise, where the nonlinear operator in divergence form satisfies p type growth with coercivity assumptions. By using Aldous tightness criteria…

概率论 · 数学 2023-06-08 Kavin R , Ananta K. Majee

We consider a class of parabolic stochastic partial differential equations featuring an antimonotone nonlinearity. The existence of unique maximal and minimal variational solutions is proved via a fixed-point argument for nondecreasing…

偏微分方程分析 · 数学 2020-12-11 Luca Scarpa , Ulisse Stefanelli

We establish a general theory of optimal strong error estimation for numerical approximations of a second-order parabolic stochastic partial differential equation with monotone drift driven by a multiplicative infinite-dimensional Wiener…

数值分析 · 数学 2022-03-02 Zhihui Liu , Zhonghua Qiao