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arxiv: 1011.3107 · v1 · pith:3DS6RX6Gnew · submitted 2010-11-13 · 🧮 math.PR · math.NA· stat.AP

A probabilistic algorithm approximating solutions of a singular PDE of porous media type

classification 🧮 math.PR math.NAstat.AP
keywords solutionsomebetaalgorithmaliaconditionequationinitial
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The object of this paper is a one-dimensional generalized porous media equation (PDE) with possibly discontinuous coefficient $\beta$, which is well-posed as an evolution problem in $L^1(\mathbb{R})$. In some recent papers of Blanchard et alia and Barbu et alia, the solution was represented by the solution of a non-linear stochastic differential equation in law if the initial condition is a bounded integrable function. We first extend this result, at least when $\beta$ is continuous and the initial condition is only integrable with some supplementary technical assumption. The main purpose of the article consists in introducing and implementing a stochastic particle algorithm to approach the solution to (PDE) which also fits in the case when $\beta$ is possibly irregular, to predict some long-time behavior of the solution and in comparing with some recent numerical deterministic techniques.

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