Planar orthogonal polynomials and boundary universality in the random normal matrix model

preprint2020arXivOpen access

Abstract

We show that the planar normalized orthogonal polynomials Pm,n(z)P_{m,n}(z) of degree nn with respect to an exponentially varying planar measure e−2mQdA\mathrm{e}^{-2mQ}\mathrm{dA} enjoy an asymptotic expansion Pm,n(z)∼m14ϕτ′(z)[ϕτ(z)]nemQτ(z)(Bτ,0(z)+m−1Bτ,1(z)+m−2Bτ,2(z)+…), P_{m,n}(z)\sim m^{\frac{1}{4}}\sqrt{ϕ_τ'(z)}[ϕ_τ(z)]^n \mathrm{e}^{m\mathcal{Q}_τ(z)}\left(\mathcal{B}_{τ, 0}(z) +m^{-1}\mathcal{B}_{τ, 1}(z)+m^{-2} \mathcal{B}_{τ,2}(z)+\ldots\right), as n,m→∞n,m\to\infty while the ratio τ=nmτ=\frac{n}{m} is fixed. Here Sτ\mathcal{S}_τ denotes the droplet, the boundary of which is assumed to be a smooth simple closed curve, and ϕτϕ_τ is a conformal mapping from the complement Sτc\mathcal{S}_τ^c to the exterior disk De\Bbb{D}_\mathrm{e}. The functions Qτ\mathcal{Q}_τ and Bτ,j\mathcal{B}_{τ, j} are bounded holomorphic functions which may be expressed in terms of QQ and Sτ\mathcal{S}_τ. We apply these results to obtain boundary universality in the random normal matrix model for smooth droplets, i.e., that the limiting rescaled process is the random process with correlation kernel k(ξ,η)=eξηˉ −12(∣ξ∣2+∣η∣2) erf (ξ+ηˉ). \mathrm{k}(ξ,η)= \mathrm{e}^{ξ\barη\,-\frac12(\lvertξ\rvert^2+\lvert η\rvert^2)} \,\mathrm{erf}\,(ξ+\barη). A key ingredient in the proof of the asymptotic expansion of the orthogonal polynomials is the construction of an orthogonal foliation -- a smooth flow of closed curves near ∂Sτ\partial\mathcal{S}_τ, on each of which Pm,nP_{m,n} is appropriately orthogonal to lower order polynomials. To compute the coefficient functions, we develop an algorithm which determines the coefficients Bτ,j\mathcal{B}_{τ, j} successively in terms of inhomogeneous Toeplitz kernel conditions. These inhomogeneous Toeplitz kernel conditions may be understood in terms of scalar Riemann-Hilbert problems.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.