2021
DOI: 10.48550/arxiv.2112.05881
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Optimal local laws and CLT for the circular Riesz gas

Abstract: We study the long-range one-dimensional Riesz gas on the circle, a continuous system of particles interacting through a Riesz (i.e inverse power) kernel. We establish nearoptimal rigidity estimates on gaps valid at any scale. Leveraging on these local laws and using a Stein method, we provide a quantitative Central Limit Theorem for linear statistics. The proof is based on a mean-field transport and on a fine analysis of the fluctuations of local error terms through the study of Helffer-Sjöstrand equations. Th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
8
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(8 citation statements)
references
References 38 publications
0
8
0
Order By: Relevance
“…Theorem 1.4 (Central Limit Theorem). Suppose that 𝜃 ∈ 𝐶 13 is a compactly supported test function, and let 𝜉 𝑧,𝐿 denote the associated rescaled test function at scale 𝐿 > 𝜔 𝑁 with 𝑧 ∈ 𝖡. Let  𝑁 be the good event of Theorem 4.2.…”
Section: Statement Of Resultsmentioning
confidence: 99%
“…Theorem 1.4 (Central Limit Theorem). Suppose that 𝜃 ∈ 𝐶 13 is a compactly supported test function, and let 𝜉 𝑧,𝐿 denote the associated rescaled test function at scale 𝐿 > 𝜔 𝑁 with 𝑧 ∈ 𝖡. Let  𝑁 be the good event of Theorem 4.2.…”
Section: Statement Of Resultsmentioning
confidence: 99%
“…Lem. 3.2 that E[q 2 R,0 ] C/R d−s , for any infinite translation-invariant (stationary) point process with finite Jellium energy per unit volume, in the case max(0, d − 2) s < d. One can in fact get the same bound for all 0 < s < d (averaged over [R, 2R]) by integrating(76) against the point process. It is more complicated to deal with non translation-invariant systems (without performing an average over translations, that is, look at the "empirical field").…”
mentioning
confidence: 84%
“…At T = 0, Lemma 25 says that it is uniformly bounded for minimizers, away from the boundary of Ω. The estimate (76) says that it is small in average for r ≫ 1, which is going to be useful later.…”
Section: Local Bounds and Definition Of The Point Processmentioning
confidence: 97%
See 1 more Smart Citation
“…Boursier has recently obtained 72 rigidity results about the fluctuations of the individual points in the case 0 < s < 1 in dimension d = 1, which imply very precise (average) local bounds. In the case of the 1D log gas s = 0, much more is known due to the link with random matrices explained in Section V, see for instance Ref.…”
Section: Local Bounds and Definition Of The Point Processmentioning
confidence: 99%