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Consider the partial sums {S_t} of a real-valued functional F(Phi(t)) of a Markov chain {Phi(t)} with values in a general state space. Assuming only that the Markov chain is geometrically ergodic and that the functional F is bounded, the…

Probability · Mathematics 2007-05-23 Ioannis Kontoyiannis , Sean Meyn

We investigate the long-time behavior of solutions to a stochastically forced one-dimensional Navier-Stokes system, describing the motion of a compressible viscous fluid, in the case of linear pressure law. We prove existence of an…

Analysis of PDEs · Mathematics 2018-02-13 Michele Coti Zelati , Nathan Glatt-Holtz , Konstantina Trivisa

In this paper we propose a new type of viscosity solutions for fully nonlinear path dependent PDEs. By restricting to certain pseudo Markovian structure, we remove the uniform non- degeneracy condition imposed in our earlier works [9, 10].…

Analysis of PDEs · Mathematics 2016-04-11 Ibrahim Ekren , Jianfeng Zhang

We study a quite general family of nonlinear evolution equations of diffusive type with nonlocal effects. More precisely, we study porous medium equations with a fractional Laplacian pressure, and the problem is posed on a bounded space…

Analysis of PDEs · Mathematics 2017-08-03 Quoc-Hung Nguyen , Juan Luis Vázquez

In this paper we study the deterministic homogenization problems for unsteady Navier-Stokes type equations, on one hand in an open set {\Omega} of R^{N}, on the other hand in porous media {\Omega}^{{\epsilon}}. In the second case, the…

Analysis of PDEs · Mathematics 2014-10-02 Lazarus Signing

A simple construction is given of a class of Euclidean invariant, reflection positive measures on a compactification of the space of distributions. An unusual feature is that the regularizations used are not reflection positive.

Functional Analysis · Mathematics 2021-06-24 Tamer Tlas

We consider the stochastic thin-film equation with colored Gaussian Stratonovich noise in one space dimension and establish the existence of nonnegative weak (martingale) solutions. The construction is based on a Trotter-Kato-type…

Probability · Mathematics 2022-08-02 Benjamin Gess , Manuel V. Gnann

We establish verifiable general sufficient conditions for exponential or subexponential ergodicity of Markov processes that may lack the strong Feller property. We apply the obtained results to show exponential ergodicity of a variety of…

Probability · Mathematics 2019-03-27 Oleg Butkovsky , Alexei Kulik , Michael Scheutzow

Multivariate process satisfying affine stochastic recurrence equation with generic diagonal matrices is considered. We prove that the stationary solution is regularly varying. The results are applicable to diagonal autoregressive models.

Probability · Mathematics 2022-06-28 Ewa Damek

In this paper, we study the backward stochastic differential equation (BSDE) with two nonlinear mean reflections, which means that the constraints are imposed on the distribution of the solution but not on its paths. Based on the backward…

Probability · Mathematics 2023-07-13 Hanwu Li

In this paper, we use the variational approach to investigate recurrent properties of solutions for stochastic partial differential equations, which is in contrast to the previous semigroup framework. Consider stochastic differential…

Dynamical Systems · Mathematics 2019-11-07 Mengyu Cheng , Zhenxin Liu

We construct non-negative martingale solutions to the stochastic porous medium equation in one dimension with homogeneous Dirichlet boundary conditions which exhibit a type of sticky behavior at zero. The construction uses the stochastic…

Probability · Mathematics 2024-11-12 Ben Hambly , Dörte Kreher , Konstantins Starovoitovs

We consider the homogenisation of the instationary Stokes equations in a porous medium with an a-priori given evolving microstructure. In order to pass to the homogenisation limit, we transform the Stokes equations to a domain with a fixed…

Analysis of PDEs · Mathematics 2024-03-14 David Wiedemann , Malte A. Peter

We consider stochastic non-linear diffusion equations with a highly singular diffusivity term and multiplicative gradient-type noise. We study existence and uniqueness of non-negative variational solutions in terms of stochastic variational…

Probability · Mathematics 2016-06-21 Michael Rockner , Ionut Munteanu

Equations governing the flow of a polar fluid, with pressure-dependent Newtonian viscosity, through a variable-porosity medium are developed. Averaged equations are obtained using intrinsic volume averaging. A drag function is introduced to…

Fluid Dynamics · Physics 2025-12-04 M. H. Hamdan , D. C. Roach

Consider a one-sided Markov additive process with an upper and a lower barrier, where each can be either reflecting or terminating. For both defective and non-defective processes and all possible scenarios we identify the corresponding…

Probability · Mathematics 2013-09-20 Jevgenijs Ivanovs

In this work, we introduce a new Skorokhod problem with two reflecting barriers when the trajectories of the driven process and the barriers are right and left limited. We show that this problem has an explicit unique solution in a…

Probability · Mathematics 2022-02-28 Astrid Hilbert , Imane Jarni , Youssef Ouknine

In the recent decades, it became more and more popular for engineers, physicists, and mathematicians alike to put the Maxwell equations into a generally covariant form. This is particularly useful for understanding the fundamental structure…

Classical Physics · Physics 2016-03-29 Friedrich W. Hehl , Yakov Itin , Yuri N. Obukhov

For the 1-dimensional Kuramoto-Sivashinsky equation with random forcing term, existence and uniqueness of solutions is proved. Then, the Markovian semigroup is well defined; its properties are analyzed, in order to provide sufficient…

Probability · Mathematics 2009-09-29 B. Ferrario

In this paper, we establish the large deviation principles for stochastic porous media equations driven by time-dependent multiplicative noise on $\sigma$-finite measure space $(E,\mathcal{B}(E),\mu)$, and the Laplacian replaced by a…

Probability · Mathematics 2023-04-06 Weina Wu , Jianliang Zhai
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