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arXiv 2104.08210math.PRmath-phmath.MP
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最长递增子序列的标度极限

The scaling limit of the longest increasing subsequence

Duncan Dauvergne, Bálint Virág

摘要:

我们提供了一个框架,证明收敛到有向景观,在卡达尔-帕里西-张普适性类的中心对象。对于最后通过模型,我们表明,紧凑的收敛到艾里线系综意味着收敛到艾里片。在i.i.d.环境中,我们表明,艾里片收敛意味着收敛的距离和测地线,他们的同行在有向景观。我们的结果意味着经典最后一次通过模型和相互作用粒子系统的收敛。我们的框架是建立在一个有向度量的概念,一个广义的指标,表现更好的限制。作为结果的一个结果,我们提出了一个老问题的解决方案:在一致置换的缩放最长递增子序列收敛到有向测地线。

英文摘要:

We provide a framework for proving convergence to the directed landscape, the central object in the Kardar-Parisi-Zhang universality class. For last passage models, we show that compact convergence to the Airy line ensemble implies convergence to the Airy sheet. In i.i.d. environments, we show that Airy sheet convergence implies convergence of distances and geodesics to their counterparts in the directed landscape. Our results imply convergence of classical last passage models and interacting particle systems. Our framework is built on the notion of a directed metric, a generalization of metrics which behaves better under limits. As a consequence of our results, we present a solution to an old problem: the scaled longest increasing subsequence in a uniform permutation converges to the directed geodesic.

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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