2024 Seminars

Abstract: TBA

Abstract: TBA

Abstract: In this talk, I will present the results of a collaboration with Benjamin McKenna on the injective norm of large random Gaussian tensors and uniform random quantum states, and describe some of the context underlying this work. The injective norm is a natural generalization to tensors of the operator norm of a matrix and appears in multiple fields. In quantum information, the injective norm is one important measure of genuine multipartite entanglement of quantum states, known as geometric entanglement. In our recent preprint, we provide a high-probability upper bound on the injective norm of real and complex Gaussian random tensors, which corresponds to a lower bound on the geometric entanglement of random quantum states, and to a bound on the ground-state energy of a particular multispecies spherical spin glass model. Our result represents a first step towards solving an important question in quantum information that has been part of folklore.

Abstract: The talk is about the probabilistic relations between eigenvalues and singular values of bi-unitarily invariant ensembles. We first extend the notion of k-point correlation function to j,k-point correlation functions when studying the interactions between j singular values and k singular values and, then, give an exact formula for the 1,1-point correlation function. This formula simplifies drastically when assuming the singular values are drawn from a polynomial ensemble. We will give some idea of the proof for the main result. Finally, we will show some numerical simulations to illustrate what the 1,1-point correlation function looks like for the classical cases of Laguerre and Jacobi ensembles and what it reveals about the interactions between singular values and eigenvalues.

Abstract: In this talk, I will describe a particular class of biorthogonal measures related to discrete and semi-discrete polymers (Log-Gamma, O'Connell-Yor, and mixed). More precisely, I will show that the Laplace transform of the partition function of the mentioned polymers coincides with the multiplicative statistics of these biorthogonal measures. This result can be seen as a finite N variant of the connection between the narrow wedge solution of the KPZ equation and the Airy point process. It generalizes previous results of Imamura and Sasamoto for the (homogeneous) O'Connell-Yor polymer. Time permitting, I will show some applications to the small-temperature limit of these polymers and their relation with matrix models. These results have been obtained jointly with Tom Claeys.

Abstract: I will discuss recent work that determines the asymptotic distribution of the smallest gaps between complex eigenvalues of the real Ginibre ensemble. I will also provide a brief overview of what is currently known about extremal eigenvalue gaps of random matrices, both small and large, and highlight a few open problems. This talk is based on joint work with Matthew Meeker.

Abstract: The two-dimensional One-Component Plasma (OCP) is a Coulomb system that consists of identical, electrically charged particles embedded in a uniform background of the opposite charge, interacting through a logarithmic potential. In the 90s, Jancovici, Lebowitz and Manificat discovered a law for the probabilities of observing large charge fluctuations in the OCP. Mathematically, this law has only been fully proved in the determinantal case (i.e., for the Ginibre ensemble). A few years ago, Chatterjee introduced a hierarchical version of the OCP, inspired by Dyson's hierarchical model of the Ising ferromagnet. We show that the JLM law holds for the hierarchical Coulomb model at any finite positive temperature. 

Based on a joint work with Oren Yakir.

Abstract: For an $N\times N$ Hermitian matrix $A$  the eigenvalues of the top-left $N-1\times N-1$ submatrix (or truncation) of $A$ interlace with the original eigenvalues of $A$. We could then continue to remove rows and columns to get further interlacing sequences of eigenvalues, and we can think of this process as some kind of dynamics on the spectral measures. Similarly differentiating real rooted polynomials will produce interlacing among the roots, and we can think of this as some other dynamics on the root measures. Various recent results have shown, both heuristically and rigorously, that for random matrices these two processes produce the same dynamics on the measures. However, if we consider the analogous processes from non-Hermitian matrices or complex rooted polynomials there is no obvious geometric reason for the processes to coincide and the picture is much less clear. After looking at a brief history of the real case, we will discuss how one can connect these processes for single ring matrices and random polynomials with independent coefficients. This talk will be based on joint work with Sean O'Rourke and David Renfrew.

Abstract: We consider the random normal matrix model (the two-dimensional Coulomb gas at inverse temperature $\beta=2$). If the droplet is disconnected, there will be interactions between the different components leading to some new behaviours of the system. I will discuss some results in the case of a rotational-invariant potential where the droplet consists of several concentric annuli. In particular I will discuss how a disconnected droplet affects asymptotics of the partition function and the correlation kernel near the boundary.

The talk is based on work with Yacin Ameur and Christophe Charlier.

Abstract: Under the assumption of a finite fourth moment, the behavior of the smallest eigenvalue in covariance matrices has been extensively studied. In this talk, we explore the intriguing scenario where each entry possesses an infinite fourth moment while still having a finite second moment. We investigate the phase transition from Tracy- Widom to Gaussian fluctuation for the smallest eigenvalue in this context. Time-permitting, we will also delve into a more heavy-tailed regime, broadening the scope of our investigation. This is based on the joint work with Zhigang Bao and Xiaocong Xu.

Abstract: I will report on recent joint work with Kurt Johansson (KTH). We consider a Coulomb gas restricted to a Jordan domain in the complex plane. We ask how the asymptotic expansion of the free energy, as the number of particles tends to infinity, depends on the geometry of the domain. I will explain how this problem is related to the Grunsky operator -- a classical tool in complex analysis -- and how this in turn reveals a close connection to the Loewner energy and other interesting domain functionals. I will further discuss the effect of corners,  which turns out to be universal in a certain sense. Most main players (Grunsky, Loewner, etc) will be introduced in the talk.

Abstract: We establish, for every family of orthogonal polynomials in the Askey scheme and the q-Askey scheme, a combinatorial model for mixed moments and coefficients in terms of paths on the lecture hall lattice. This generalizes to all families of orthogonal polynomials in the Askey scheme previous results of Corteel and Kim for the little q-Jacobi polynomials. This is joint work with Sylvie Corteel, Bhargavi Jonnadula, and Jon Keating.

Abstract: Muttalib-Borodin ensemble is defined by the joint probability density function $$\prod_{1 \leq i < j \leq n} (x_i - x_j)(x^{\theta}_i - x^{\theta}_j) \prod^n_{i = 1} e^{-nV(x_i)}.$$ It is proposed by physicist Muttalib as a toy model of quantum transport, and has relations to random matrix theory. Because of its simplicity and its non-trivial hard edge limit, the Muttalib-Borodin ensemble becomes the archetype of biorthogonal ensembles. Borodin studied this model in the $V(x) = x$ case, and found its limiting distribution around the hard edge $0$. We show that for a large class of $V$, the Muttalib-Borodin ensemble has the same limiting distribution, that is, the model has a universal property. Our approach is by the asymptomatic analysis of a kind of vector-valued Riemann-Hilbert problem, with a new construction of the local parametrix for irrational $\theta$.

Abstract: Considering a sum of a complex Ginibre matrix  and a deterministic matrix, we prove that there are  only two kinds of eigenvalue statistics  at the spectral edge: Ginibre edge  statistics and  critical statistics. The latter seems new.  The method depends on a key finding that the eigenvalue correlation functions can be expressed as matrix integrals  via  auto-correlations of  characteristic polynomials. This talk is based on joint work with Lu Zhang (USTC).

Abstract: We consider the ensemble of complex elliptic random matrices in the weakly non-Hermitian regime. First we prove that after adding a weakly non-Hermitian Gaussian matrix of comparatively small variance, the bulk correlation functions converge to a universal limit, under certain assumptions on the initial matrix. Using the method of time reversal we can remove the Gaussian component if the initial matrix has a sufficiently smooth distribution.

Abstract: The archetypal model of a non-Hermitian random matrix is the Ginibre ensemble, consisting of i.i.d. standard Gaussian entries with no symmetry constraints. Another interesting non-Hermitian ensemble is obtained by truncating a Haar distributed unitary matrix, which can be shown to recover the Ginibre ensemble in a suitable limit. I will discuss recent work which develops a character expansion approach for evaluating correlations of characteristic polynomials in such models. The approach leads to a number of dualities interchanging the size of the matrices with the number of factors in the correlator. At the same time, it gives an alternative route to finding closed form determinantal or Pfaffian expressions. This is joint work with A. Serebryakov (Sussex).

Abstract: Recently, overlap, which is defined by the left and right eigenvectors of a matrix, is one of the hottest topics in random matrix theory. This plays a role in measuring the non-Hermiticity of the matrix. Indeed, the overlap is trivial for Hermitian matrices, and hence, it plays an essential role for non-Hermitian matrices. In 2020, Akemann, Tribe, Tsareas, and Zaboronski showed that the k-th conditional expectation of the overlaps for the Ginibre unitary ensemble forms a determinantal structure. In this talk, based on their approach, I will show the determinantal structure of the overlaps for the induced Ginibre/spherical unitary ensembles. The former model is the generalization of the Ginibre unitary ensemble with the origin point insertion, and the latter model is the non-Gaussian model with the origin point insertion. I will also present the scaling limits for both models. The scaling limits in the strong non-unitary regime are the same as those shown by Akemann et al for the Ginibre unitary ensemble. As a consequence, the universality of the overlaps is confirmed. On the other hand, I will present new scaling limits for the weakly non-unitary regime and the singular origin regime.