2023
DOI: 10.1088/1361-6544/acb47c
|View full text |Cite
|
Sign up to set email alerts
|

Exponential moments for disk counting statistics of random normal matrices in the critical regime

Abstract: We obtain large n asymptotics for the m-point moment generating function of the disk counting statistics of the Mittag–Leffler ensemble, where n is the number of points of the process and m is arbitrary but fixed. We focus on the critical regime where all disk boundaries are merging at speed n − … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
11
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(11 citation statements)
references
References 52 publications
0
11
0
Order By: Relevance
“…As we show below, the above asymptotic expansions have several interesting consequences; for example, VarOEN.r j / n in the hard edge regime, while VarOEN.r j / p n in the three other regimes (actually, a similar statement also holds for the higher order cumulants, as can be seen by comparing Corollary 1.5 with Corollary 1.8 and [31,Corollary 1.5]). This indicates that the counting statistics near a hard edge are considerably wilder than near a soft edge, in the bulk or near a semi-hard edge.…”
Section: Function (Mgf)mentioning
confidence: 67%
See 2 more Smart Citations
“…As we show below, the above asymptotic expansions have several interesting consequences; for example, VarOEN.r j / n in the hard edge regime, while VarOEN.r j / p n in the three other regimes (actually, a similar statement also holds for the higher order cumulants, as can be seen by comparing Corollary 1.5 with Corollary 1.8 and [31,Corollary 1.5]). This indicates that the counting statistics near a hard edge are considerably wilder than near a soft edge, in the bulk or near a semi-hard edge.…”
Section: Function (Mgf)mentioning
confidence: 67%
“…As can be seen from (1.14)-(1.16), the counting statistics in the hard edge regime are drastically different from the counting statistics in the bulk and semi-hard edge regimes (and also very different from the counting statistics in the soft edge regime [28,31]). Indeed, at the hard edge the subleading term is proportional to ln n, while in all other regimes it is proportional to p n. Furthermore, in the hard edge regime, the leading coefficient C 1 will be shown to depend on the parameters u 1 ; : : : ; u m in a highly non-trivial non-linear way.…”
Section: Function (Mgf)mentioning
confidence: 96%
See 1 more Smart Citation
“…This physical situation is akin to the well known lowest Landau level problem of electrons in a plane and in the presence of a perpendicular magnetic field [32,45,48]. This connection with the physics of the lowest Landau levels has naturally motivated the study of the FCS in the complex Ginibre ensemble, denoted here as GinUE [1,6,7,14,25,27,28,39,73,90] (for a recent review see [16]), as well as some natural extensions of it, including the higher Landau levels [68,69,91,94], related to the socalled poly-analytic Ginibre ensemble [53]. We also refer to [78,79] and references therein for earlier work on the counting statistics of Hermitian random matrix ensembles and its applications to one-dimensional systems of trapped fermions.…”
Section: Introductionmentioning
confidence: 99%
“…This physical situation is akin to the well known lowest Landau level problem of electrons in a plane and in the presence of a perpendicular magnetic field [32,45,48]. This connection with the physics of the lowest Landau levels has naturally motivated the study of the FCS in the complex Ginibre ensemble, denoted here as GinUE [1,6,7,14,25,27,28,39,73,88] (for a recent review see [16]), as well as some natural extensions of it, including the higher Landau levels [68,69,89,92], related to the so-called poly-analytic Ginibre ensemble [53]. For such models, analytical progress is possible thanks to the fact that the underlying point processes are DPPs, for which very powerful analytical tools are available, already for a finite number of points N , see [56,59].…”
Section: Introductionmentioning
confidence: 99%