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Models of self-organized criticality, which can be described as singular diffusions with or without (multiplicative) Wiener forcing term (as e.g. the Bak/Tang/Wiesenfeld- and Zhang-models), are analyzed. Existence and uniqueness of…

Probability · Mathematics 2018-06-18 Viorel Barbu , Philippe Blanchard , Giuseppe Da Prato , Michael Röckner

We prove that the solutions to fast diffusion stochastic porous media equations have finite time extinction with strictly positive probability.

Probability · Mathematics 2018-06-18 Viorel Barbu , Giuseppe Da Prato , Michael Röckner

One proves existence and uniqueness of strong solutions to stochastic porous media equations under minimal monotonicity conditions on the nonlinearity. In particular, we do not assume continuity of the drift or any growth condition at…

Probability · Mathematics 2007-05-23 Viorel Barbu , Giuseppe Da Prato , Michael Röckner

Existence and uniqueness of solutions to the stochastic porous media equation $dX-\D\psi(X) dt=XdW$ in $\rr^d$ are studied. Here, $W$ is a Wiener process, $\psi$ is a maximal monotone graph in $\rr\times\rr$ such that $\psi(r)\le C|r|^m$,…

Probability · Mathematics 2014-09-10 Viorel Barbu , Michael Röckner , Francesco Russo

One proves that the stochastic porous media equation in 3-D has a unique nonnegative solution for nonnegative initial data in $H^{-1}(\mathcal O)$ if the nonlinearity is monotone and has polynomial growth.

Probability · Mathematics 2007-05-23 Viorel Barbu , Giuseppe Da Prato , Michael Röckner

We present a generalization of Krylov-Rozovskii's result on the existence and uniqueness of solutions to monotone stochastic differential equations. As an application, the stochastic generalized porous media and fast diffusion equations are…

Probability · Mathematics 2007-05-23 Jiagang Ren , Michael Röckner , Feng-Yu Wang

We consider a class of generalised stochastic porous media equations with multiplicative Lipschitz continuous noise. These equations can be related to physical models exhibiting self-organised criticality. We show that these SPDEs have…

Probability · Mathematics 2020-05-18 Marius Neuß

We prove the pathwise well-posedness of stochastic porous media and fast diffusion equations driven by nonlinear, conservative noise. As a consequence, the generation of a random dynamical system is obtained. This extends results of the…

Analysis of PDEs · Mathematics 2019-01-09 Benjamin Fehrman , Benjamin Gess

We consider a porous media type equation over all of $\R^d$ with $d = 1$, with monotone discontinuous coefficients with linear growth and prove a probabilistic representation of its solution in terms of an associated microscopic diffusion.…

Probability · Mathematics 2009-12-02 Philippe Blanchard , Michael Röckner , Francesco Russo

We prove finite time extinction for stochastic sign fast diffusion equations driven by linear multiplicative space-time noise, corresponding to the Bak-Tang-Wiesenfeld model for self-organized criticality. This solves a problem posed and…

Probability · Mathematics 2015-06-17 Benjamin Gess

If $X=X(t,\xi)$ is the solution to the stochastic porous media equation in $\cal O\subset\mathbb{R}^d$, $1\le d\le 3,$ modelling the self-organized criticaity and $X_c$ is the critical state, then it is proved that $\int^\9_0m(\cal…

Probability · Mathematics 2018-06-18 Viorel Barbu , Michael Röckner

We analyze long-time behavior of solutions to a class of problems related to very fast and singular diffusion porous medium equations having nonhomogeneous in space and time source terms with zero mean. In dimensions two and three, we…

Analysis of PDEs · Mathematics 2022-10-24 Georgy Kitavtsev , Roman M. Taranets

We establish finite time extinction with probability one for weak solutions of the Cauchy-Dirichlet problem for the 1D stochastic porous medium equation with Stratonovich transport noise and compactly supported smooth initial datum.…

Probability · Mathematics 2020-01-30 Sebastian Hensel

We prove the path-by-path well-posedness of stochastic porous media and fast diffusion equations driven by linear, multiplicative noise. As a consequence, we obtain the existence of a random dynamical system. This solves an open problem…

Probability · Mathematics 2020-05-05 Benjamin Fehrman , Benjamin Gess

We consider a possibly degenerate porous media type equation over all of $\R^d$ with $d = 1$, with monotone discontinuous coefficients with linear growth and prove a probabilistic representation of its solution in terms of an associated…

Probability · Mathematics 2014-06-30 Viorel Barbu , Michael Roeckner , Francesco Russo

Explicit conditions are presented for the existence, uniqueness and ergodicity of the strong solution to a class of generalized stochastic porous media equations. Our estimate of the convergence rate is sharp according to the known optimal…

Probability · Mathematics 2007-05-23 Giuseppe Da Prato , Boris L. Rozovskii , Michael Röckner , Feng-Yu Wang

The long time behaviour of solutions to generalised stochastic porous media equations on bounded domains with Dirichlet boundary data is studied. We focus on a degenerate form of nonlinearity arising in self-organised criticality. Based on…

Probability · Mathematics 2019-09-12 Marius Neuß

In this paper, we prove that stochastic porous media equations over $\sigma$-finite measure spaces $(E,\mathcal{B},\mu)$, driven by time-dependent multiplicative noise, with the Laplacian replaced by a self-adjoint transient Dirichlet…

Probability · Mathematics 2023-08-22 Michael Röckner , Weina Wu , Yingchao Xie

We study existence and uniqueness of distributional solutions to the stochastic partial differential equation $dX - ( \nu \Delta X + \Delta \psi (X) ) dt = \sum_{i=1}^N \langle b_i, \nabla X \rangle \circ d\beta_i$ in $]0,T[ \times…

Probability · Mathematics 2021-05-04 Mattia Turra

We establish pathwise existence of solutions for porous media and fast diffusion equations with nonlinear gradient noise, in the full regime $m\in(0,\infty)$ and for any initial data in $L^2$. Moreover, if the initial data is positive,…

Analysis of PDEs · Mathematics 2023-02-07 Andrea Clini
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