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arXiv 0712.3256math.PR
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Schramm-Loewner演化

Schramm-Loewner Evolution

Gregory F. Lawler

摘要:

这是我自两年前出版一本书以来写的第一本关于SLE的简要笔记[45]。那本书涵盖了一年课程的内容,所以我不能涵盖所有内容。然而,这些笔记不仅仅是那些笔记的子集,因为视角略有变化。主要的区别是:o我已经定义SLE作为一个有限的措施,不一定是一个概率测度的路径。从格系统极限的角度来看,这似乎更自然,并且在将SLE扩展到非单连通域时似乎更有用。(但是,在这些注释中,我不讨论非单连通域。)o在相应的鞅和局部鞅的研究中,我更多地利用了Girsanov定理。与[45]一样,我将把这些笔记集中在连续过程SLE上,而不会证明任何关于离散过程收敛到SLE的结果。然而,我的第一堂课将是关于离散过程的--如果一个人不理解SLE试图建模的内容,就很难理解SLE。

英文摘要:

This is the first expository set of notes on SLE I have written since publishing a book two years ago [45]. That book covers material from a year-long class, so I cannot cover everything there. However, these notes are not just a subset of those notes, because there is a slight change of perspective. The main differences are: o I have defined SLE as a finite measure on paths that is not necessarily a probability measure. This seems more natural from the perspective of limits of lattice systems and seems to be more useful when extending SLE to non-simply connected domains. (However, I do not discuss non-simply connected domains in these notes.) o I have made more use of the Girsanov theorem in studying corresponding martingales and local martingales. As in [45], I will focus these notes on the continuous process SLE and will not prove any results about convergence of discrete processes to SLE. However, my first lecture will be about discrete processes -- it is very hard to appreciate SLE if one does not understand what it is trying to model.

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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