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Convergence results for a coarsening model using global linearization

机译:使用全局线性化的粗化模型的收敛结果

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摘要

We study a coarsening model describing the dynamics of interfaces in the one-dimensional Allen-Cahn equation. Given a partition of the real line into intervals of length greater than one, the model consists in repeatedly eliminating the shortest interval of the partition by merging it with its two neighbors. We show that the mean-field equation for the time-dependent distribution of interval lengths can be solved explicitly using a global linearization transformation. This allows us to derive rigorous results on the long-time asymptotics of the solutions. If the average length of the intervals is finite, we prove that all distributions approach a uniquely determined self-similar solution. We also obtain global stability results for the family of self-similar profiles which correspond to distributions with infinite expectation. [References: 22]
机译:我们研究了一个粗化模型,描述了一维allen-cahn方程中的界面动态。 鉴于实际线的分区分为长度大于1的间隔,模型通过将其与其两个邻居合并而重复消除分区的最短间隔。 我们表明,可以使用全局线性化转换明确解决时间依赖间隔长度分布的平均场方程。 这使我们能够在解决方案的长期渐近学终止严格的结果。 如果间隔的平均长度是有限的,则证明所有分布都接近唯一确定的自我相似的解决方案。 我们还为自我相似型材系列获得了全球稳定性结果,该结果对应于具有无限期望的分布。 [参考:22]

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