2016
DOI: 10.4310/cdm.2016.v2016.n1.a2
|View full text |Cite
|
Sign up to set email alerts
|

Edge fluctuations of limit shapes

Abstract: In random tiling and dimer models we can get various limit shapes which gives the boundaries between different types of phases. The shape fluctuations at these boundaries give rise to universal limit laws, in particular the Airy process. We survey some models which can be analyzed in detail based on the fact that they are determinantal point processes with correlation kernels that can be computed. We also discuss which type of limit laws that can be obtained. 16 3.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
40
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 27 publications
(41 citation statements)
references
References 64 publications
1
40
0
Order By: Relevance
“…Those include the Pearcey kernel [78] for quartic singularities (Airy is cubic), or the tacnode kernel [79] (which includes, roughly speaking, quadratic band touching). We refer to [80] for a review of these free fermionic universality classes.…”
Section: A1 Tuning the Dispersion Relationmentioning
confidence: 99%
“…Those include the Pearcey kernel [78] for quartic singularities (Airy is cubic), or the tacnode kernel [79] (which includes, roughly speaking, quadratic band touching). We refer to [80] for a review of these free fermionic universality classes.…”
Section: A1 Tuning the Dispersion Relationmentioning
confidence: 99%
“…More explicitly, suppose that E = {e i } r i=1 is a collection of distinct edges with e i = (b i , w i ), where b i and w i denote black and white vertices. 24,23]). The dimers form a determinantal point process on the edges of the Aztec diamond graph with correlation kernel L meaning that…”
Section: Inverse Kasteleyn Matrix and The Particle Processmentioning
confidence: 99%
“…Ensembles of non-intersecting random lines, both in the discrete and continuous setups, as well as their scaling limits as the linear size of the system grows, play a significant role in the probabilistic analysis of various problems in random matrices, interacting particle systems and effective interface models; see e.g. [10,17,22,8,2,1,18,24,7,9] and references therein.…”
mentioning
confidence: 99%