activity
20152023
most citedDiscontinuity in the asymptotic behavior of planar orthogonal polynomials under a perturbation of the Gaussian weight

21 citations · 58 across the 8 of their papers we have counts for

collaborators

8 papers

math-ph2023★ 2 cited

Local Statistics in Normal Matrix Models with Merging Singularity

Torben Krüger, Seung-Yeop Lee, Meng Yang

We study the normal matrix model, also known as the two-dimensional one-component plasma at a specific temperature, with merging singularity. As the number of particles tends t…

math.PR2021★ 4 cited

Lemniscate ensembles with spectral singularity

Sung-Soo Byun, Seung-Yeop Lee, Meng Yang

We consider a family of random normal matrix models whose eigenvalues tend to occupy lemniscate type droplets as the size of the matrix increases. Under the insertion of a point ch…

math-ph2020★ 5 cited

Asymptotics for averages over classical orthogonal ensembles

Tom Claeys, Gabriel Glesner, Alexander Minakov +1

We study averages of multiplicative eigenvalue statistics in ensembles of orthogonal Haar distributed matrices, which can alternatively be written as Toeplitz+Hankel determinants.…

math-ph2020★ 14 cited

Strong Asymptotics of Planar Orthogonal Polynomials: Gaussian Weight Perturbed by Finite Number of Point Charges

Seung-Yeop Lee, Meng Yang

We consider the planar orthogonal polynomial with respect to the measure supported on the whole complex plane $${\rm e}^{-N|z|^2} \prod_{j=1}^ν|z-a_j|^{2c_j}\,{\rm d} A(…

math-ph2018★ 11 cited

Planar Orthogonal Polynomials As Type II Multiple Orthogonal Polynomials

Seung-Yeop Lee, Meng Yang

We show that the planar orthogonal polynomials with logarithmic singularities in the potential are the multiple orthogonal polynomials (Hermite-Padé polynomials) of Type II wit…

math.OC2017

An MM Algorithm for Split Feasibility Problems

Jason Xu, Eric C. Chi, Meng Yang +1

The classical multi-set split feasibility problem seeks a point in the intersection of finitely many closed convex domain constraints, whose image under a linear mapping also lies…