A point process on the unit circle with mirror-type interactions
Christophe Charlier

TL;DR
This paper analyzes a mirror-interaction point process on the unit circle, revealing diverse asymptotic fluctuation behaviors of linear statistics and providing detailed large-sample asymptotics for the normalization constant.
Contribution
It introduces and studies a novel point process with mirror-type interactions, characterizing its complex fluctuation regimes and deriving precise asymptotics for its normalization constant.
Findings
Fluctuations can be Bernoulli, Gaussian, or mixed, depending on the test function g.
The process exhibits diverse asymptotic fluctuation orders: n, 1, or o(1).
Large n asymptotics for the normalization constant Z_n are obtained, including the order 1 term.
Abstract
We consider the point process \begin{align*} \frac{1}{Z_{n}}\prod_{1 \leq j < k \leq n} |e^{i\theta_{j}}-e^{-i\theta_{k}}|^{\beta}\prod_{j=1}^{n} d\theta_{j}, \qquad \theta_{1},\ldots,\theta_{n} \in (-\pi,\pi], \quad \beta > 0, \end{align*} where is the normalization constant. The feature of this process is that the points interact with the mirror points reflected over the real line . We study smooth linear statistics of the form as , where is -periodic. We prove that a wide range of asymptotic scenarios can occur: depending on , the leading order fluctuations around the mean can (i) be of order and purely Bernoulli, (ii) be of order and purely Gaussian, (iii) be of order and purely Bernoulli, or (iv) be of order and of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
