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BEGIN:VEVENT
SUMMARY:Martin Vogel (Université de Strasbourg)
DTSTART:20200515T120000Z
DTEND:20200515T130000Z
DTSTAMP:20260422T212705Z
UID:MEGA/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/1/">Spe
 ctra of Toeplitz matrices subject to small random noise.</a>\nby Martin Vo
 gel (Université de Strasbourg) as part of Séminaire MEGA\n\n\nAbstract\n
 The spectra of nonselfadjoint linear operators can be very unstable and se
 nsitive to small perturbations. This phenomenon is usually referred to as 
 “pseudospectral effect”. To explore this spectral instability we study
  the spectra of small random perturbations of non-selfadjoint operators in
  the case of Toeplitz matrices and in the case of the Toeplitz quantizatio
 n of complex-valued functions on the torus. We will discuss recent results
  by Sjöstrand\, Vogel and by Basak\, Paquette and Zeitouni\, describing t
 he distribution of the eigenvalues in various regimes and settings.\n
LOCATION:https://researchseminars.org/talk/MEGA/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Roland Bauerschmidt (University of Cambridge)
DTSTART:20200515T133000Z
DTEND:20200515T143000Z
DTSTAMP:20260422T212705Z
UID:MEGA/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/3/">Ran
 dom spanning forests and hyperbolic symmetry.</a>\nby Roland Bauerschmidt 
 (University of Cambridge) as part of Séminaire MEGA\n\n\nAbstract\nWe stu
 dy (unrooted) random forests on a graph where the probability of a forest 
 is multiplicatively weighted by a parameter $\\beta>0$ per edge. This mode
 l is the $q\\to 0$ limit of the random cluster model with $p=q\\beta$. It 
 is also known under different names such as the arboreal gas or the unifor
 m forest model. In this talk\, I will discuss the tantalizing conjectural 
 behaviour of the model\, and then present our result that there is no perc
 olation in dimension two. This result relies on a surprising hyperbolic sy
 mmetry and methods previously developed for linearly reinforced walks. (Th
 is is joint work with Nick Crawford\, Tyler Helmuth\, and Andrew Swan.)\n
LOCATION:https://researchseminars.org/talk/MEGA/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Joseph Najnudel (University of Bristol)
DTSTART:20200605T120000Z
DTEND:20200605T130000Z
DTSTAMP:20260422T212705Z
UID:MEGA/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/4/">The
  bead process for beta ensembles</a>\nby Joseph Najnudel (University of Br
 istol) as part of Séminaire MEGA\n\n\nAbstract\nThe bead process introduc
 ed by Boutillier is a countable interlacing of the determinantal sine-kern
 el point processes. We construct the bead process for general sine beta pr
 ocesses as an infinite dimensional Markov chain whose transition mechanism
  is explicitly described. We show that this process is the microscopic sca
 ling limit in the bulk of the Hermite beta corner process introduced by Go
 rin and Shkolnikov\, generalizing the process of the minors of the Gaussia
 n unitary and orthogonal ensembles.\n
LOCATION:https://researchseminars.org/talk/MEGA/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Theodoros Assiotis (University of Oxford)
DTSTART:20200605T133000Z
DTEND:20200605T143000Z
DTSTAMP:20260422T212705Z
UID:MEGA/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/5/">Joi
 nt moments of the characteristic polynomial of a random unitary matrix</a>
 \nby Theodoros Assiotis (University of Oxford) as part of Séminaire MEGA\
 n\n\nAbstract\nI will speak about the joint moments of the characteristic 
 polynomial of a random unitary matrix and its derivative. In joint work wi
 th Jon Keating and Jon Warren\, by developing a connection with the Hua-Pi
 ckrell measures and using a probabilistic approach\, we establish these as
 ymptotics for general real values of the exponents which proves a conjectu
 re from the thesis of Hughes from 2001.\n
LOCATION:https://researchseminars.org/talk/MEGA/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Camille Male (Université de Bordeaux)
DTSTART:20201113T130000Z
DTEND:20201113T140000Z
DTSTAMP:20260422T212705Z
UID:MEGA/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/6/">App
 lications of Freeness over the diagonal of large random matrices.</a>\nby 
 Camille Male (Université de Bordeaux) as part of Séminaire MEGA\n\n\nAbs
 tract\nTraffic probability is an extension of free probability that comes 
 with a general notion of traffic independence. This notion encodes a large
  class of relation\, in particular all non commutative notions of independ
 ence. For a long time\, this notion had only a combinatorial presentation\
 , limiting its field of applicability. However\, an important breakthrough
  was achieved two years ago when we discovered a connection with the notio
 n of freeness over the diagonal. I will illustrate this connection with th
 ree results:\n- a general asymptotic freeness theorem for a very general c
 lass of random matrices\n- a method for computing outliers in spiked rando
 m matrix models with a variance profile\n- a characterization of the fluct
 uations of linear statistics for large Wigner matrices.\n
LOCATION:https://researchseminars.org/talk/MEGA/6/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Gregory Schehr (Université Paris-Saclay)
DTSTART:20201113T143000Z
DTEND:20201113T153000Z
DTSTAMP:20260422T212705Z
UID:MEGA/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/7/">Exa
 ct persistence exponent for the 2d-diffusion equation: from random polynom
 ials to truncated random matrices.</a>\nby Gregory Schehr (Université Par
 is-Saclay) as part of Séminaire MEGA\n\n\nAbstract\nAfter an introduction
  to persistence probabilities and related first-passage time in statistica
 l physics\, I will discuss a specific example: the 2d diffusion equation w
 ith random initial conditions. The persistence probability in this problem
  turns out to be related to the probability of no real root for Kac random
  polynomials. I will show that this probability can be computed by using y
 et another connection\, namely to the truncated orthogonal ensemble of ran
 dom matrices.\n
LOCATION:https://researchseminars.org/talk/MEGA/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Alain Rouault (Université Paris-Saclay\, UVSQ)
DTSTART:20201113T093000Z
DTEND:20201113T110000Z
DTSTAMP:20260422T212705Z
UID:MEGA/8
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/8/">Min
 i-cours: Analyse spectrale et grandes déviations.</a>\nby Alain Rouault (
 Université Paris-Saclay\, UVSQ) as part of Séminaire MEGA\n\n\nAbstract\
 nDans la théorie des polynômes orthogonaux\, les règles de sommation so
 nt des relations remarquables entre d’une part une entropie mettant en j
 eu une mesure de référence et d’autre part une fonctionnelle des coeff
 icients de récurrence. Dans ce mini-cours\, je donnerai une introduction 
 historique depuis le théorème de Szegö sur le cercle jusqu’à celui d
 e Killip-Simon sur la droite. Je montrerai ensuite qu’il est possible de
  retrouver ces règles de sommation et d’en établir de nouvelles en con
 sidérant les fonctionnelles positives comme des fonctions de taux réglan
 t les grandes déviations de mesures spectrales (pondérées) dans des mod
 èles de matrices aléatoires. Cette méthode probabiliste s’avère part
 iculièrement robuste et s’applique à des modèles non pris en compte p
 ar l’analyse spectrale classique.\n
LOCATION:https://researchseminars.org/talk/MEGA/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sylvia Serfaty (New York University)
DTSTART:20201211T093000Z
DTEND:20201211T110000Z
DTSTAMP:20260422T212705Z
UID:MEGA/9
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/9/">Loi
 s locales et fluctuations pour les gaz de Coulomb</a>\nby Sylvia Serfaty (
 New York University) as part of Séminaire MEGA\n\n\nAbstract\nOn s'intér
 esse à la mesure de Gibbs d'un gaz de Coulomb en dimension 2 et plus. On 
 présente des ``lois locales“ permettant de contrôler la distribution d
 es points et de l'énergie jusqu'à l'échelle microscopique\, ainsi qu'un
  théorème central limite sur les fluctuations des statistiques linéaire
 s. Les ingrédients principaux sont la formulation électrique de l'énerg
 ie et la presque additivité de l'énergie libre. Basé sur des travaux av
 ec Thomas Leblé et avec Scott Armstrong.\n
LOCATION:https://researchseminars.org/talk/MEGA/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Alexandre Krajenbrink (SISSA - Trieste)
DTSTART:20201211T130000Z
DTEND:20201211T140000Z
DTSTAMP:20260422T212705Z
UID:MEGA/10
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/10/">Fr
 edholm determinants\, exact solutions to the Kardar-Parisi-Zhang equation 
 and integro-differential Painlevé equations</a>\nby Alexandre Krajenbrink
  (SISSA - Trieste) as part of Séminaire MEGA\n\n\nAbstract\nAs Fredholm d
 eterminants are more and more frequent in the context of stochastic integr
 ability\, I discuss in this talk the existence of a common framework in ma
 ny integrable systems where they appear. This consists in a hierarchy of e
 quations\, akin to the Zakharov-Shabat system\, connecting an integro-diff
 erential extension of the Painlevé II hierarchy\, the finite-time solutio
 ns of the Kardar-Parisi-Zhang equation and multi-critical fermions at fini
 te temperature. The talk is based on the results of the paper arXiv:2008.0
 1509\n
LOCATION:https://researchseminars.org/talk/MEGA/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Elliot Paquette (McGill University)
DTSTART:20201211T143000Z
DTEND:20201211T153000Z
DTSTAMP:20260422T212705Z
UID:MEGA/11
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/11/">Th
 e edge scaling limit of the Gaussian beta-ensemble characteristic polynomi
 al</a>\nby Elliot Paquette (McGill University) as part of Séminaire MEGA\
 n\n\nAbstract\nThe Gaussian beta-ensemble (GbetaE) is a 1-parameter genera
 lization of the Gaussian orthogonal/unitary/symplectic ensembles which ret
 ains some integrable structure. Using this ensemble\, in Ramirez\, Rider a
 nd Virag constructed a limiting point process\, the Airy-beta point proces
 s\, which is the weak limit of the point process of eigenvalues in a neigh
 borhood of the spectral edge. They constructed a limiting Sturm—Liouvill
 e problem\, the stochastic Airy equation with Dirichlet boundary condition
 s\, and they proved convergence of a discrete operator with spectra given 
 by GbetaE to this limit.\n\nJointly with Gaultier Lambert\, we give a cons
 truction of a new limiting object\, the stochastic Airy function (SAi)\; w
 e also show this is the limit of the characteristic polynomial of GbetaE i
 n a neighborhood of the edge. It is the solution of the stochastic Airy eq
 uation\, which is the usual Airy equation perturbed by a multiplicative wh
 ite noise\, with specified asymptotics at time=+infinity. Its zeros are gi
 ven by the Airy-beta point process\, and the mode of convergence we establ
 ish provides a new proof that Airy-beta is the limiting point process of e
 igenvalues of GbetaE. In this talk\, we survey what new information we hav
 e on the characteristic polynomial\; we show from where the stochastic Air
 y equation arises\; we show how SAi is constructed\; and we leave some una
 nswered questions.\n
LOCATION:https://researchseminars.org/talk/MEGA/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dan Betea (KU Leuven)
DTSTART:20210115T093000Z
DTEND:20210115T110000Z
DTSTAMP:20260422T212705Z
UID:MEGA/12
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/12/">Mi
 ni-course: Multi-critical Schur measures and unitary matrix models.</a>\nb
 y Dan Betea (KU Leuven) as part of Séminaire MEGA\n\n\nAbstract\nWe start
  by reviewing classical equalities between certain multiplicative Haar exp
 ectations over the unitary group (partition functions for certain classes 
 of random unitary matrices)\, Toeplitz (and eventually Fredholm) determina
 nts\, and extremal/edge statistics of Okounkov's Schur measure. We pass by
  Heine's identity\, the Gessel identity\, the Borodin–Okounkov–Geronim
 o–Case identity\, and Szego's strong theorem (if time permits). This bri
 ef tour aims to sketch the deep connections between random unitary matrice
 s and symmetric functions. Such connections were first observed by Diaconi
 s–Shashahani and later put to great use by Johansson\, Rains\, and colla
 borators.\n\nWe then aim at proving a recent result of the author\, joint 
 with J. Bouttier and H. Walsh (arXiv'd here https://arxiv.org/abs/2012.019
 95)\, which shows that when the unitary matrix model potential is tuned 
 “multi-critically”\, all the quantities above tend to the higher-order
  Tracy–Widom distributions introduced recently by Le Doussal–Majumdar
 –Schehr. This result is a gap probability result for the largest part of
  the associated random partition\, and as such extends the by now classica
 l Baik–Deift–Johansson theorem on longest increasing subsequences of r
 andom permutations. In passing\, we try to mention some related results bo
 th old: limit shape results for the random partitions under consideration\
 ; the associated phase transitions of Gross–Witten and Johansson\; the o
 riginal approach to multi-criticality of Periwal–Shevitz\; the Schroding
 er approach of Le Doussal–Majumdar–Schehr\; and some recent work of Ca
 fasso–Claeys–Girotti and Krajenbrink.\n
LOCATION:https://researchseminars.org/talk/MEGA/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Emma Bailey (University of Bristol)
DTSTART:20210115T140000Z
DTEND:20210115T150000Z
DTSTAMP:20260422T212705Z
UID:MEGA/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/13/">Ch
 aracteristic polynomials of the classical compact groups.</a>\nby Emma Bai
 ley (University of Bristol) as part of Séminaire MEGA\n\n\nAbstract\nMome
 nts of characteristic polynomials have connections to log-correlated field
 s\, Toeplitz and Hankel determinants\, combinatorics\, and number theory. 
 In this talk\, I will introduce `moments of moments' of characteristic pol
 ynomials. Our results give their asymptotic behaviour\, answering a conjec
 ture of Fyodorov and Keating. This talk will discuss joint work with Jon K
 eating and Theo Assiotis.\n
LOCATION:https://researchseminars.org/talk/MEGA/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Benedek Valkó (University of Wisconsin- Madison)
DTSTART:20210115T153000Z
DTEND:20210115T163000Z
DTSTAMP:20260422T212705Z
UID:MEGA/14
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/14/">Th
 e stochastic zeta function.</a>\nby Benedek Valkó (University of Wisconsi
 n- Madison) as part of Séminaire MEGA\n\n\nAbstract\nChhaibi\, Najnudel a
 nd Nikhekgbali introduced a random entire function with zero set given by 
 the points of the Sine_2 process\, the point process limit of the circular
  unitary ensemble (CUE). They showed that the function is the limit of the
  normalized characteristic polynomials of the CUE. We provide new descript
 ions for this random function: as a power series built from Brownian motio
 n\, as a determinant connected to a random differential operator\, and as 
 the stationary solution of an SDE. Our approach extends to various general
 izations of the CUE: the circular beta-ensemble\, and the Hua-Pickrell ens
 emble.\n\nJoint with B. Virág (Toronto) and Yun Li (Wisconsin).\n
LOCATION:https://researchseminars.org/talk/MEGA/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Guillaume Cébron (Université de Toulouse)
DTSTART:20210205T093000Z
DTEND:20210205T110000Z
DTSTAMP:20260422T212705Z
UID:MEGA/15
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/15/">Mi
 ni-cours : Introduction à la théorie des trafics.</a>\nby Guillaume Céb
 ron (Université de Toulouse) as part of Séminaire MEGA\n\n\nAbstract\nLa
  théorie des trafics a été formalisée en 2011 par Camille Male. La mot
 ivation principale est l'étude des matrices aléatoires dont la loi est i
 nvariante par permutation des vecteurs de base. Je vais introduire les con
 cepts généraux de la théorie des trafics\, qui reposent sur un formalis
 me faisant intervenir des graphes. Je parlerai ensuite de l'asymptotique e
 n grande dimension de matrices indépendantes\, donnant lieu naturellement
  à la notion d'indépendance de trafics.\n
LOCATION:https://researchseminars.org/talk/MEGA/15/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Gaultier Lambert (University of Zurich)
DTSTART:20210312T130000Z
DTEND:20210312T140000Z
DTSTAMP:20260422T212705Z
UID:MEGA/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/16/">Ap
 plications of the theory of Gaussian multiplicative chaos to random matric
 es</a>\nby Gaultier Lambert (University of Zurich) as part of Séminaire M
 EGA\n\n\nAbstract\nLog-correlated fields are a class of stochastic process
 es which describe the fluctuations of some key observables in different pr
 obabilistic models in dimension 1 and 2 such as random tilings\, or the ch
 aracteristic polynomials of random matrices. Gaussian multiplicative chaos
  is a renormalization procedure which aims at defining the exponential of 
 a Log-correlated field in the form of a family of random measures. These r
 andom measures can be thought of as describing the extreme values of the u
 nderlying field. In this talk\, I will present some applications of this t
 heory to study the logarithm of the characteristic polynomial of some rand
 om matrices. I will focus on the Ginibre ensemble and also mention some re
 sults for the Gaussian unitary ensemble and circular beta ensembles.\n
LOCATION:https://researchseminars.org/talk/MEGA/16/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Pierre Youssef (NYU Abu Dhabi)
DTSTART:20210312T143000Z
DTEND:20210312T153000Z
DTSTAMP:20260422T212705Z
UID:MEGA/17
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/17/">Mi
 xing time of the switch chain on regular bipartite graphs</a>\nby Pierre Y
 oussef (NYU Abu Dhabi) as part of Séminaire MEGA\n\n\nAbstract\nGiven a f
 ixed integer d\, we consider the switch chain on the set of d-regular bipa
 rtite graphs on n vertices equipped with the uniform measure. We prove a s
 harp Poincaré and log-Sobolev inequality implying that the mixing time of
  the switch chain is at most O(n log^2n) which is optimal up to a logarith
 mic term. This improves on earlier results of Kannan\, Tetali\, Vempala an
 d Dyer et al. who obtained the bounds O(n^13 log n) and O(n^7 log n) respe
 ctively. This is a joint work with Konstantin Tikhomirov.\n
LOCATION:https://researchseminars.org/talk/MEGA/17/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Giorgio Cipolloni (IST Austria)
DTSTART:20210205T130000Z
DTEND:20210205T140000Z
DTSTAMP:20260422T212705Z
UID:MEGA/18
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/18/">Co
 rrelated DBMs and fluctuations in the circular law: CLT for i.i.d. random 
 matrices.</a>\nby Giorgio Cipolloni (IST Austria) as part of Séminaire ME
 GA\n\n\nAbstract\nWe consider a large non-Hermitian i.i.d. matrix X with r
 eal or complex entries and show that the linear statistics of the eigenval
 ues are asymptotically Gaussian for test function having 2+\\epsilon deriv
 atives. Previously this result was known only for the Ginibre ensemble\, w
 here explicit formulas for the correlation functions are available\, and e
 nsembles close to Ginibre in the sense of moment matching\; our result hol
 ds for general distribution of the matrix entries. The proof relies on two
  main novel ingredients: (i) local law for product of resolvents of the He
 rmitisation of X at two different spectral parameters\, (ii) coupling of s
 everal dependent Dyson Brownian motions.\n
LOCATION:https://researchseminars.org/talk/MEGA/18/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Alexey Bufetov (University of Bonn)
DTSTART:20210205T143000Z
DTEND:20210205T153000Z
DTSTAMP:20260422T212705Z
UID:MEGA/19
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/19/">In
 teracting particle systems and random walks on Hecke algebras.</a>\nby Ale
 xey Bufetov (University of Bonn) as part of Séminaire MEGA\n\n\nAbstract\
 nMulti-species versions of several interacting particle systems\, includin
 g ASEP\, q-TAZRP\, and k-exclusion processes\, can be interpreted as rando
 m walks on Hecke algebras. In the talk I will discuss this connection and 
 its probabilistic applications.\n
LOCATION:https://researchseminars.org/talk/MEGA/19/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Justin Salez (Université Paris-Dauphine)
DTSTART:20210611T120000Z
DTEND:20210611T130000Z
DTSTAMP:20260422T212705Z
UID:MEGA/20
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/20/">Sp
 arse expanders have negative curvature</a>\nby Justin Salez (Université P
 aris-Dauphine) as part of Séminaire MEGA\n\n\nAbstract\nWe prove that bou
 nded-degree expanders with non-negative Ollivier-Ricci curvature do not ex
 ist\, thereby solving a long-standing open problem suggested by Naor and M
 ilman and publicized by Ollivier (2010). In fact\, this remains true even 
 if we allow for a vanishing proportion of large degrees\, large eigenvalue
 s\, and negatively-curved edges. To establish this\, we work directly at t
 he level of Benjamini-Schramm limits\, and exploit the entropic characteri
 zation of the Liouville property on stationary random graphs to show that 
 non-negative curvature and spectral expansion are incompatible “at infin
 ity”. We then transfer this result to finite graphs via local weak conve
 rgence. The same approach applies to the Bakry-Émery curvature condition 
 CD(0\, ∞)\, thereby settling a recent conjecture of Cushing\, Liu and Pe
 yerimhoff (2019).\n
LOCATION:https://researchseminars.org/talk/MEGA/20/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Mylène Maïda (Université de Lille)
DTSTART:20210312T093000Z
DTEND:20210312T110000Z
DTSTAMP:20260422T212705Z
UID:MEGA/21
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/21/">Mi
 ni-cours: Rigidité pour les processus ponctuels</a>\nby Mylène Maïda (U
 niversité de Lille) as part of Séminaire MEGA\n\n\nAbstract\nUn processu
 s ponctuel est dit rigide (ou number-rigide) si pour tout compact fixé\, 
 la donnée de la configuration à l'extérieur du compact prescrit presque
  sûrement le nombre de points à l'intérieur. Cette propriété intrigan
 te a été montrée pour certains processus déterminantaux\, des réseaux
  perturbés et quelques processus apparentés. Je ferai le point sur les r
 ésultats connus (pas si nombreux)\, les techniques de preuve et j'énonce
 rai quelques conjectures.\n
LOCATION:https://researchseminars.org/talk/MEGA/21/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Mathieu Lewin (Université Paris-Dauphine)
DTSTART:20210409T083000Z
DTEND:20210409T100000Z
DTSTAMP:20260422T212705Z
UID:MEGA/22
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/22/">Mi
 ni-course: Riesz and Coulomb gases: what's known and unknown.</a>\nby Math
 ieu Lewin (Université Paris-Dauphine) as part of Séminaire MEGA\n\n\nAbs
 tract\nIn this lecture I will speak about a family of random point process
 es of Gibbs type\, on the whole d-dimensional space\, which includes many 
 examples from random matrix theory (such as GUE\, GOE and Ginibre). The po
 ints are assumed to interact by pairs through the Riesz/Coulomb potentials
 \, and a parameter playing the role of a temperature is used to adjust the
  amount of randomness. I will try to review what is expected on physical g
 round for these processes and what has been rigorously established so far.
  The talk will thus be focused on open problems.\n
LOCATION:https://researchseminars.org/talk/MEGA/22/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Antti Knowles (University of Geneva)
DTSTART:20210409T133000Z
DTEND:20210409T143000Z
DTSTAMP:20260422T212705Z
UID:MEGA/23
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/23/">Th
 e spectral edge of (sub-)critical Erdös-Rényi graphs.</a>\nby Antti Know
 les (University of Geneva) as part of Séminaire MEGA\n\n\nAbstract\nIt is
  well known that the Erdős-Rényi graph on N vertices with edge probabili
 ty d/N undergoes a dramatic change in behaviour when the mean degree d cro
 sses the critical scale log(N): the degrees of the graph cease to concentr
 ate about their means and the graph loses its homogeneity. We analyse the 
 eigenvalues and eigenvectors of its adjacency matrix in the regime where t
 he mean degree d is comparable to or less than the critical scale log(N). 
 We show that the eigenvalue process near the spectral edges is asymptotica
 lly Poisson\, and the intensity measure is determined by the fluctuations 
 of the large degrees as well as the size of the 2-spheres around vertices 
 of large degree. We conclude that in general the laws of the largest eigen
 values are not described by the classical Fisher–Tippett–Gnedenko theo
 rem. As an application of our result\, we prove that the associated eigenv
 ectors are are exponentially localized in unique\, disjoint balls. Togethe
 r with the previously established complete delocalization of the eigenvect
 ors in the middle of the spectrum\, this establishes the coexistence of a 
 delocalized and a localized phase in the critical Erdös-Rényi graph. Joi
 nt work with Johannes Alt and Raphael Ducatez.\n
LOCATION:https://researchseminars.org/talk/MEGA/23/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Michel Pain (New York University)
DTSTART:20210409T120000Z
DTEND:20210409T130000Z
DTSTAMP:20260422T212705Z
UID:MEGA/24
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/24/">Op
 timal local law and central limit theorem for beta-ensembles.</a>\nby Mich
 el Pain (New York University) as part of Séminaire MEGA\n\n\nAbstract\nIn
  this talk\, I will present a joint work with Paul Bourgade and Krishnan M
 ody. We consider beta-ensembles with general potentials (or equivalently a
  log-gas in dimension 1)\, which are a generalization of Gaussian beta-ens
 embles and of classical invariant ensembles of random matrices. We prove a
  multivariate central limit theorem for the logarithm of the characteristi
 c polynomial\, showing that it behaves as a log-correlated field. A key in
 gredient is an optimally sharp local law for the the Stieljes transform of
  the empirical measure which can be of independent interest. Both the proo
 fs of the CLT and the local law are based essentially on loop equations te
 chniques.\n
LOCATION:https://researchseminars.org/talk/MEGA/24/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Romain Couillet (CentraleSupélec\, Université Paris-Saclay)
DTSTART:20210507T083000Z
DTEND:20210507T100000Z
DTSTAMP:20260422T212705Z
UID:MEGA/25
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/25/">Wh
 y Random Matrices can Change the Future of Research in AI?</a>\nby Romain 
 Couillet (CentraleSupélec\, Université Paris-Saclay) as part of Séminai
 re MEGA\n\n\nAbstract\nMachine learning and AI algorithms are becoming inc
 reasingly more powerful but also increasingly more complex\, mathematicall
 y less tractable\, and energetically less environmental friendly. In this 
 talk\, we will demonstrate that large dimensional statistics\, and particu
 larly random matrix theory\, simultaneously (i) explains why ML algorithms
  are so stable when dealing with large dimensional data\, (ii) manages to 
 break the difficulties that make these algorithms mathematically intractab
 le (non-linearities and data modelling)\, thereby (iii) allowing for the f
 irst time to get (iii-a) an inside understanding of the algorithms\, of th
 eir multiple biases and\, most crucially\, of their quite counter-intuitiv
 e behavior as well as (iii-b) a toolbox to easily improve the algorithms p
 erformance and cost efficiency. Possibly even more surprisingly\, the univ
 ersality notion in random matrix theory shows (iv) why ML algorithms appli
 ed to intricate real data (in general impossible to model) behave the same
  as when applied to elementary Gaussian random vector models.\n\nThe cours
 e will introduce basic notions of random matrix theory by emphasizing on t
 he counter-intuitive behavior of large dimensional data (so to raise aware
 ness in the audience). These notions will be applied to a range of telling
  applications in machine learning (spectral clustering\, semi-supervised l
 earning\, transfer learning\, low-cost processing\, etc.).\n\nThe audience
  can dynamically decide on which topic they'd like me to cover preferably.
  A time for debate will also be given for the audience to react on the pre
 sentation. An extensive coverage of the class material is available online
  in the upcoming book “Romain COUILLET\, Zhenyu LIAO\, “Random Matrix 
 Theory for Machine Learning” https://romaincouillet.hebfree.org/book.htm
 l\n
LOCATION:https://researchseminars.org/talk/MEGA/25/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Olivier Giraud (Université Paris Saclay)
DTSTART:20210507T123000Z
DTEND:20210507T133000Z
DTSTAMP:20260422T212705Z
UID:MEGA/26
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/26/">Sp
 ectral properties of structured random matrices</a>\nby Olivier Giraud (Un
 iversité Paris Saclay) as part of Séminaire MEGA\n\n\nAbstract\nMotivate
 d by the problem of metal-insulator transition in the Anderson model of co
 ndensed matter physics\, I will discuss some spectral properties of Hermit
 ian Toeplitz\, Hankel\, and Toeplitz-plus-Hankel random matrices with inde
 pendent identically distributed entries. Spectral statistics of all these 
 random matrices turns out to be of intermediate type\, as found for instan
 ce at the metal-insulator transition\, or in certain pseudo-integrable bil
 liards. Namely\, nearest-neighbor spacing distributions are characterized 
 by level repulsion at small distances and an exponential decrease at large
  distances\, while the spectral compressibility has a non-trivial value. S
 uch statistics are usually associated with multifractal eigenstates\, and 
 I will show that it is also the case here.\n
LOCATION:https://researchseminars.org/talk/MEGA/26/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Tatyana Shcherbina (University of Wisconsin - Madison)
DTSTART:20210507T140000Z
DTEND:20210507T150000Z
DTSTAMP:20260422T212705Z
UID:MEGA/27
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/27/">Un
 iversality for random band matrices</a>\nby Tatyana Shcherbina (University
  of Wisconsin - Madison) as part of Séminaire MEGA\n\n\nAbstract\nRandom 
 band matrices (RBM) are natural intermediate models to study eigenvalue st
 atistics and quantum propagation in disordered systems\, since they interp
 olate between mean-field type Wigner matrices and random Schrodinger opera
 tors. In particular\, RBM can be used to model the Anderson metal-insulato
 r phase transition (crossover) even in 1d. In this talk we will discuss so
 me recent progress in application of the supersymmetric method (SUSY) and 
 transfer matrix approach to the analysis of local spectral characteristics
  of some specific types of 1d RBM.\n
LOCATION:https://researchseminars.org/talk/MEGA/27/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Cécilia Lancien (Université de Toulouse)
DTSTART:20210611T083000Z
DTEND:20210611T100000Z
DTSTAMP:20260422T212705Z
UID:MEGA/28
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/28/">Mi
 ni-course: Quantum expander graphs</a>\nby Cécilia Lancien (Université d
 e Toulouse) as part of Séminaire MEGA\n\n\nAbstract\nThe goal of this lec
 ture is to understand what quantum expander graphs are\, what they are use
 ful for\, and how they can be constructed. We will first recall the defini
 tion of classical expander graphs\, and explain how quantum analogues of t
 hese objects can be defined. We will then show that\, both classically and
  quantumly\, random constructions provide with high probability examples o
 f expander graphs. In the quantum case\, such result is derived from a spe
 ctral analysis for random matrix models with a tensor product structure. T
 he presentation will be based\, among others\, on:\n\n-Random unitaries gi
 ve quantum expanders. M.B.Hastings. 2007.\n\n- Quantum expanders and geome
 try of operator spaces. G.Pisier. 2014\n\n- Correlation length in random M
 PS and PEPS. C.Lancien and D.Peréz-García. 2019.\n\n- Characterizing exp
 ansion\, classicaly and quantumly. C.Lancien. 2020.\n
LOCATION:https://researchseminars.org/talk/MEGA/28/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Leonid Pastur (B.Verkin Institute for Low Temperature Physics and 
 Engineering\, Kharkiv\, Ukraine)
DTSTART:20210611T133000Z
DTEND:20210611T143000Z
DTSTAMP:20260422T212705Z
UID:MEGA/29
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MEGA/29/">On
  Random Matrices Arising in Deep Neural Networks</a>\nby Leonid Pastur (B.
 Verkin Institute for Low Temperature Physics and Engineering\, Kharkiv\, U
 kraine) as part of Séminaire MEGA\n\n\nAbstract\nWe study the distributio
 n of singular values of product of random matrices pertinent to the analys
 is of deep neural networks. The matrices resemble the product of the sampl
 e covariance matrices. However\, an important dierence is that the analog
  the of the population covariance matrices\, assumed to be non-random or r
 andom but independent of the random data matrix in statistics and random m
 atrix theory\, are now certain functions of random data matrices (synaptic
  weight matrices in the deep neural network terminology). For the Gaussian
  synaptic weight matrices the problem has been treated in recent work [1] 
 and certain subsequent works by using the techniques of free probability t
 heory. Since\, however\, free probability theory deals with population cov
 ariance matrices which are independent of the data matrices\, its applicab
 ility to this case has to be justi\ned. We use a version of the techniques
  of random matrix theory to justify and generalize the results of [1] to t
 he case where the entries of the synaptic weight matrices are just indepen
 dent identically distributed random variables with zero mean and \nnite fo
 urth moment [2]. This\, in particular\, extends the property of the so-cal
 led macroscopic universality to the considered random matrices.\n\n[1] J. 
 Pennington\, S. Schoenholz\, and S. Ganguli\, The emergence of spectral un
 iversality In: Proc. Mach. Learn. Res. (PMLR 70) 84 (2018) 1924-1932\, htt
 p://arxiv.org/abs/1802.09979\n\n[2] L. Pastur and V. Slavin\, On Random Ma
 trices Arising in Deep Neural Networks: General I.I.D. Case\, http://arxiv
 .org/abs/2011.11439.\n
LOCATION:https://researchseminars.org/talk/MEGA/29/
END:VEVENT
END:VCALENDAR
