The Workshop will take place from September 22-25, 2026.
The program will begin on Tuesday morning and will end on Friday noon. We will have a reception on Tuesday and the conference dinner will take place on Thursday evening. Wednesday afternoon is free for discussion and/or walking.
Tuesday
09:15–09:20
Welcome
09:20–10:10
Andrei Martinez-Finkelshtein
10:10–10:40
Coffee
10:40–11:00
Anton Klimovsky
11:00–11:20
Thu Hien Nguyen
11:20–12:10
Zakhar Kabluchko
12:10–14:00
Lunch
14:00–14:50
Guillaume Poly
14:50–15:40
Oanh Nguyen
15:40–16:20
Coffee
16:20–17:10
Joseph Najnudel
17:10–17:30
Daniel Perales
18:00
Reception
Wednesday
09:20–10:10
Naomi Feldheim
10:10–10:40
Coffee
10:40–11:00
Subhajit Ghosh
11:00–11:20
Anna Vishnyakova
11:20–12:10
Boris Shapiro
12:10–14:00
Lunch
Thursday
09:20–10:10
Octavio Arizmendi
10:10–10:40
Coffee
10:40–11:00
Dong Wang
11:00–11:20
Thomas Wolfs
11:20–12:10
Alon Nishry
12:10–14:00
Lunch
14:00–14:50
Nick Simm
14:50–15:10
Yong-Woo Lee
15:10–15:30
Alexander Van Werde
15:30–16:10
Coffee
16:10–17:00
Sean O’Rourke
18:30
Conference Dinner
Friday
09:20–10:10
Valentina Cammarota
10:10–10:40
Coffee
10:40–11:00
Reiko Toriumi
11:00–11:20
Grzegorz Świderski
11:20–12:10
Aron Wennman
12:10–14:00
Lunch
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Abstract: We consider a random Gaussian model of Laplace eigenfunctions on the hemisphere satisfying the Dirichlet boundary conditions, and random Laplace eigenfunctions on the unit square subject to Dirichlet boundary conditions. We test M. Berry’s ansatz on nodal deficiency in presence of boundary, in particular the square billiard is studied, where the high spectral degeneracies allow for the introduction of a Gaussian ensemble of random Laplace eigenfunctions. Based on join works with Giacomo Cherubini, Domenico Marinucci, Igor Wigman.
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Abstract:
I will discuss recent developments concerning moments of characteristic polynomials in non-Hermitian random matrix ensembles, focusing on truncations of Haar-distributed unitary matrices. The corresponding characteristic polynomial moments exhibit a rich structure, including connections with Painlevé transcendents. Depending on the regime considered, Painlevé IV, V or VI can occur. These moments are also naturally related to a class of orthogonal polynomials in the complex plane.
For these polynomials, planar orthogonality can be reformulated as a Riemann–Hilbert problem on suitable contours. I will describe some aspects of the resulting asymptotic analysis, based on the Deift–Zhou steepest descent method, and explain how it yields strong asymptotics for both the orthogonal polynomials and the characteristic polynomial moments. This is based on joint work with Alfredo Deaño and, more recently, with Kenneth McLaughlin and Leslie Molag.
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Abstract: For a monic polynomial p of degree n, the t-lemniscate is defined as the sub-level set Λₚ(t) := {z ∈ ℂ : |p(z)| < t}. For t = 1, this is referred to as the unit lemniscate or simply lemniscate. The typical topological behavior for random lemniscates exhibits a fascinating dependence on the root distribution μ. In this work, we investigate two contrasting regimes:
Disk Model: For roots i.i.d. in 𝔻, the expected number of components grows sub-linearly as C√n (C ≈ 0.453).
Circle Model: For roots i.i.d. on S¹, the expected number of components is drastically higher, growing linearly at a rate of n/2.
We further characterize the topological phase transition as the level t evolves from 0 to ∞, identifying the critical thresholds where the lemniscate's connectivity undergoes a fundamental shift.
Abstract: Fisher zeros of mean-field spin glasses have been studied in uncorrelated and hierarchically correlated models such as the REM, GREM, BBM, and CREM. I will discuss the spherical pure p-spin glass, where the central new feature is the presence of genuine non-hierarchical correlations and replica symmetry breaking.
The main mechanism is phase loss: the imaginary temperature creates overlap-dependent oscillatory cancellation, competing with the quenched large-deviation cost of realizing that overlap at real temperature. Combining the vector Crisanti–Sommers formula with a local phase-cancellation argument inside Subag’s geometric bands yields a variational description of the complex-temperature free energy with expectation, fluctuation, and glassy regimes.
Abstract: A distinguishing feature of real non-Hermitian random matrices is presence of purely real eigenvalues with high probability. In this talk, we discuss the counting statistics for these real eigenvalues for the real Ginibre ensembles. In particular, we discuss its intermediate large deviation regime, which captures the asymptotic behavior bridging typical fluctuations and the large deviation regime characterized by the macroscopic deformation of the spectral droplet. This talk is based on joint work with Sung-Soo Byun, Gregory Schehr, and Jonas Jalowy.
Abstract: This talk explores the distribution of zeros in two distinct settings: deterministic entire functions and stochastic disordered systems. In both cases, zero locations encode structural properties -- analytic in the former, and thermodynamic in the latter.
Part I: The Geometry of Coefficients. We begin with the Laguerre--Pólya class of entire functions that serve as uniform limits of real-rooted polynomials. We present necessary conditions and sufficient conditions for real-rootedness in terms of the Taylor coefficients aₖ. Specifically, we characterise membership in this class via the second quotient sequence qₙ(f) := aₙ₋₁²/(aₙ₋₂aₙ). We show that the asymptotic behaviour of qₙ(f) determines whether f is real-rooted. We conclude by discussing operators that preserve real-rootedness. This is joint work with Anna Vishnyakova.
Part II: The Physics of Zero-Freeness. Motivated by Lee-Yang theory, we study the spherical Sherrington-Kirkpatrick (SSK) model at complex temperatures. We provide a rigorous derivation of the phase diagram conjectured by Obuchi & Takahashi (2012). Using eigenvalue rigidity and steepest descent analysis, we identify three distinct regimes in the complex β-plane: a high-temperature phase (|β| < 1/2), a glassy phase (|Re β| > 1/2), and a fluctuation phase (|β| > 1/2, |Re β| < 1/2) where Lee-Yang (Fisher) zeros of the partition function accumulate with constant density 2/π. We characterise the macroscopic zero density and prove that, in the fluctuation phase, the microscopic zero process converges in distribution to the zero set of a planar Gaussian analytic function. This is joint work with Anton Klimovsky.
Together, these results illustrate how zero distributions -- whether determined by coefficient constraints or statistical fluctuations -- encode structural information in both analysis and statistical physics.
Abstract: Recent works of Galligo, Najnudel, and Vu (2025) and Najnudel and Vu (2026) study repeated differentiation for polynomials of the form P(z)=p(z^m), where p is a deterministic polynomial of degree n with real, non-negative roots, in the regime where m and n are large. If m>> log(n) and the root distribution of P converges to a compactly supported, radial probability measure mu_0, these works show that for 0< t<1, the root distribution of the nmt-th derivative of P converges to a compactly supported probability measure mu_t given by an explicit formula for its radial quantile function.
In this talk I will:
1) present a simplified proof of this result,
2) extend it to repeated applications of the differential operator z^a(d/dz)^b, and
3) compute the limiting root distribution in the case when m is fixed and n tends to infinity.
Based on a joint work with Brian Hall (arXiv 2607.16954).
Abstract: I will discuss the asymptotic distribution of zeros of orthogonal polynomials whose recurrence coefficients are unbounded and periodically modulated. In this setting, some zeros may escape to infinity, so the classical normalized zero counting measures are no longer the right object.
Under natural assumptions, we identify the correct scaling and prove convergence to an explicit infinite Radon measure. A key feature is that the limiting measure is determined by the essential spectrum of the underlying Jacobi matrix, giving a spectral description of zero distribution beyond the bounded-coefficient case.
The talk will be based on joint work with Bartosz Trojan: “Asymptotic zeros’ distribution of orthogonal polynomials with unbounded recurrence coefficients,” Journal of Functional Analysis 289 (2025), Article 111162.
Abstract: I will introduce a new notion of characteristic polynomials for tensors via Grassmann integrals and distributions of roots of random tensors. As anticipated, the Fuss-Catalan distribution appears. Some important points of our work are that there are only N roots for tensors of dimension N, and that our formulation covers general tensors (complex, real, Grassmann, etc) including totally antisymmetric tensors, but excluding totally symmetric tensors. It is based on arXiv:2510.04068[math-ph].
Abstract: Two symmetric integer matrices are cospectral if they share characteristic polynomial. Cospectrality is believed to be atypical in high-dimensional settings, but proving this remain a bit of a mystery.
I will discuss a notion where the potential orthogonal matrix realizing cospectrality is restricted to have rational entries. Sufficient conditions to rule out this type of cospectrality are available in terms of the prime factorization of the discriminant, the latter being an integer expressed as the product of squared distances between eigenvalues. Some progress on understanding how often such conditions are applicable was recently made by Nikita Lvov and myself in arXiv:2603.26932. I will discuss the probabilistic methods that we developed and the conjectures they lead one to.
Abstract: Definition.
A sequence of nonnegative numbers (aₖ)ₖ₌₀^∞ is called a totally positive sequence, if all minors of the infinite matrix
\begin{array}{ccccc}
a_0 & a_1 & a_2 & a_3 &\ldots \\
0 & a_0 & a_1 & a_2 &\ldots \\
0 & 0 & a_0 & a_1 &\ldots \\
0 & 0 & 0 & a_0 &\ldots \\
\vdots&\vdots&\vdots&\vdots&\ddots
\end{array}
are non-negative.
Concept of total positivity found numerous applications and was studied from many different sides. It has applications in distribution of zeros of polynomials and entire functions, Pólya frequency sequences, unimodality and log-concavity, stochastic processes and approximation theory, mechanical systems, planar networks, combinatorics and representation theory.
Let P, P(0) > 0, be a real polynomial of degree m. It is easy to check that
∑ₖ₌₀^∞ P(k)xᵏ = Q(x)/(1 − x)ᵐ⁺¹,
where Q is a real polynomial of degree at most m.
We will discuss the following problem: for which P the sequence (P(k))ₖ₌₀^∞ is totally positive? Due to the famous theorem by Aissen, Schoenberg, Whitney and Edrei it happens if and only if all the zeros of Q are real and non-positive.
We also consider the sequences of the form
((1 − c₁qᵏ)(1 − c₂qᵏ) · … · (1 − cₘqᵏ))ₖ₌₀^∞,
where 0 < q < 1. We investigate the following problem: for which values of parameters such sequences are totally positive.
Abstract: We consider the biorthogonal polynomials pₙ, qₙ subject to the orthogonality
∫ pₘ(x) qₙ(f(x)) W(x) dx = δₘ,ₙ hₘ.
They are generalizations of orthogonal polynomials, with f(x) = x being the special case. If f(x) = xᶿ, these biorthogonal polynomials are related to the Muttalib-Borodin ensemble. We show that the asymptotics of the biorthogonal polynomials with f(x) = x² can be used to study the local statistics of the eigenvalues of the Hermitian random matrix model with external source. In the case where the potential of the random matrix model is V(x) = x⁴/4 − tx²/2 and the external source has two distinct eigenvalues ±a of equal multiplicities, we find a new family of limiting correlation kernels that are constructed from solutions of the Riemann-Hilbert problem associated with the Boussinesq hierarchy. This talk is based on arXiv:2512.20343 and is joint work with Shui-Xia Xu.
Abstract: I will explain how the average characteristic polynomials of derivative type ensembles (de)compose naturally under certain polynomial convolutions. Derivative type ensembles were originally introduced because they provided the natural framework to describe the eigenvalues of sums and products of random matrices. In those settings, the relevant polynomial convolutions are the finite free additive and multiplicative convolution. Our framework goes beyond and leads to a variety of polynomial convolutions, including those compatible with discrete grids.