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arXiv 1003.4503math.AP
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一维和二维双势阱随机泛函的唯一极小元

Unique minimizer for a Random functional with double-well potential in dimension 1 and 2

Nicolas Dirr, Enza Orlandi

摘要:

我们添加了一个随机的散装长期,建模与杂质的介质的相互作用,标准功能的梯度理论的相变组成的梯度项与双势阱。我们表明,在$d\le2$存在,几乎所有的实现的随机散装长期,一个独特的随机宏观极小。这一结果与无规体项不存在的情况形成鲜明对比。在后一种情况下,有两个极小化器在空间中的平移下(在定律上)不变。

英文摘要:

We add a random bulk term, modelling the interaction with the impurities of the medium, to a standard functional in the gradient theory of phase transitions consisting of a gradient term with a double well potential. We show that in $d\le2$ there exists, for almost all the realizations of the random bulk term, a unique random macroscopic minimizer. This result is in sharp contrast to the case when the random bulk term is absent. In the latter case there are two minimizers which are (in law) invariant under translations in space.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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