Mathematics – Probability
Scientific paper
2011-02-17
Mathematics
Probability
Scientific paper
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 $\int^\9_0m(\cal O\setminus\cal O^t_0)dt<\9,$ $\mathbb{P}{-a.s.}$ and $\lim_{t\to\9}\int_{\cal O}|X(t)-X_c|d\xi=\ell<\9,\ \mathbb{P}{-a.s.}$ Here, $m$ is the Lebesgue measure and $\cal O^t_c$ is the critical region $\{\xi\in\cal O;$ $ X(t,\xi)=X_c(\xi)\}$ and $X_c(\xi)\le X(0,\xi)$ a.e. $\xi\in\cal O$. If the stochastic Gaussian perturbation has only finitely many modes (but is still function-valued), $\lim_{t\to\9}\int_K|X(t)-X_c|d\xi=0$ exponentially fast for all compact $K\subset\cal O$ with probability one, if the noise is sufficiently strong. We also recover that in the deterministic case $\ell=0$.
Barbu Viorel
Röckner Michael
No associations
LandOfFree
Stochastic porous media equations and self-organized criticality: convergence to the critical state in all dimensions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Stochastic porous media equations and self-organized criticality: convergence to the critical state in all dimensions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stochastic porous media equations and self-organized criticality: convergence to the critical state in all dimensions will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-380662