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Identification of asymptotic decay to self-similarity for one-dimensional filtration equations

机译:一维过滤方程的渐近衰减到自相似性的识别

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摘要

The objective of this paper is the derivation and the analysis of a simple explicit numerical scheme for general one-dimensional filtration equations. It is based on an alternative formulation of the problem using the pseudoinverse of the density's repartition function. In particular, the numerical approximations can be proven to satisfy a contraction property for a Wasserstein metric. Various numerical results illustrate the ability of this numerical process to capture the time-asymptotic decay towards self-similar solutions even for fast-diffusion equations.
机译:本文的目的是推导和分析通用一维过滤方程的简单显式数值格式。它基于使用密度重新分配函数的伪逆的问题的替代表达。特别地,可以证明数值近似满足Wasserstein度量的收缩特性。各种数值结果说明了这种数值过程的能力,即使对于快速扩散方程式,也能够捕获朝着自相似解的时间渐近衰减。

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