Différences

Ci-dessous, les différences entre deux révisions de la page.

--- mega:start [2017/10/17 14:35] – [Exposés à venir 2017-2018] male
+++ mega:start [2018/01/09 14:41] – [Exposés à venir 2017-2018] male
@@ Ligne 8: / Ligne 8: @@
      * Le matin, un mini-cours/GdT/GdR à destination des thésards
      * L'après-midi, deux exposés de recherche de 55min + 10min de questions.
-   * **Lieu.** Institut Henri Poincaré, Paris. Salle variable.
+   * **Lieu.** Institut Henri Poincaré, Paris. Salle 201.
    * **Cadre.** Le GdT est désormais le séminaire officiel associé au [[mega:gdr|GDR MEGA]]. Vous pouvez contacter [[http://www-syscom.univ-mlv.fr/~najim/|Jamal Najim]] pour demander un financement pour vos déplacement au GdT.
    * **Calendrier.** https://calendar.google.com/calendar/ical/qn5qq7dlmp38sc624s4png8umc%40group.calendar.google.com/public/basic.ics
@@ Ligne 17: / Ligne 17: @@
 {{ :mega:20141121_153039.jpg?400 |}}
-===== Exposés à venir 2017-2018 =====
+===== Exposés 2017-2018 =====
 * Vendredi **8 décembre**
-         * 14h30-15h45:  **[[https://www.kcl.ac.uk/nms/depts/mathematics/people/atoz/Fyodorovy.aspx|Yan Fyodorov]]** //On statistics of bi-orthogonal eigenvectors in real and complex Ginibre ensembles combining partial Schur decomposition with supersymmetry.\\ //I will present a method of studying the joint probability density (JPD) of an eigenvalue and the associated 'non-orthogonality overlap factor' (also known as the condition number) of the  left and right eigenvectors for non-selfadjoint random matrices. First we derive the general finite size N expression for the JPD of a real eigenvalue and the associated non-orthogonality factor in the real Ginibre ensemble, and then analyze its 'bulk' and 'edge' scaling limits. The ensuing distribution is maximally heavy-tailed, so that all integer moments beyond normalization are divergent. A similar calculation for a complex eigenvalue  and the associated non-orthogonality factor in the complex Ginibre ensemble will be presented as well and yields a distribution with the finite first moment. Its  'bulk' scaling limit yields a distribution whose first moment reproduces the well-known result of Chalker and Mehlig , and I provide the 'edge' scaling distribution for this case as well. The method involves evaluating the ensemble average of products and ratios of integer and half-integer powers of characteristic polynomials for Ginibre matrices, which is performed in the framework of the supersymmetry approach. These results complement recent studies by P. Bourgade & G. Dubach.
+         * 10h30-12h00: mini cours par **[[http://www.normalesup.org/~menard/|Laurent Ménard]]** sur la méthode des séries génératrices
-         * 15h45-17h00:  **[[http://perso.ens-lyon.fr/aguionne/|Alice Guionnet]]** // \\ //
+         * 14h30-15h45:  **[[https://www.kcl.ac.uk/nms/depts/mathematics/people/atoz/Fyodorovy.aspx|Yan Fyodorov]]** //On statistics of bi-orthogonal eigenvectors in real and complex Ginibre ensembles combining partial Schur decomposition with supersymmetry.\\ //
+         * 15h45-17h00:  **[[http://perso.ens-lyon.fr/aguionne/|Alice Guionnet]]** //Fluctuations pour les pavages aleatoires et equations de Nekrasov \\ //
 * Vendredi **12 janvier**
-         * 14h30-15h45:  **[[https://sites.google.com/site/torbenkruegermath/|Torben Krüger]]** // \\ //
+         * 10h30-12h00: mini cours par **[[http://www.camillemale.com|Camille Male]]** sur les méthodes non commutatives en matrices aléatoires
-         * 15h45-17h00:  **[[http://www.iecl.univ-lorraine.fr/~Jeremie.Unterberger/|Jérémie Unterberger]]**
+         * 14h30-15h45:  **[[https://sites.google.com/site/torbenkruegermath/|Torben Krüger]]** //Random matrices with slow correlation decay \\ // The resolvent of a large dimensional self-adjoint random matrix approximately satisfies the matrix Dyson equation (MDE) up to a random error. We show that for random matrices with arbitrary expectation and slow decay of correlation among its entries this error matrix converges to zero both in an isotropic and averaged sense with optimal rates of convergence as the dimension tends to infinity. This result requires a delicate cancellation (self-energy renormalization) which is seen through a diagrammatic cumulant expansion that automatically exploits the cancellation to all orders. Furthermore, we provide a comprehensive isotropic stability analysis of the MDE down to the length scale of the eigenvalue spacing. This analysis is then used to show convergence of the resolvent to the non-random solution of the MDE and to prove that the local eigenvalue statistics are universal, i.e. they do not depend on the distribution of the entries of the random matrix under consideration (Wigner-Dyson-Mehta spectral universality). Joint work with Oskari Ajanki & Laszlo Erdös & Dominik Schröder.
+         * 15h45-17h00:  **[[http://www.iecl.univ-lorraine.fr/~Jeremie.Unterberger/|Jérémie Unterberger]]** //TBA//
 * Vendredi **9 février**
+         * 10h30-12h00: mini cours par **[[http://romaincouillet.hebfree.org|Romain Couillet]]**
+         * 14h30-15h45:  **[[https://perso.univ-rennes1.fr/nizar.demni/Sitenizar/Accueil.html|Nizar Demni]]** // \\ //
+         * 15h45-17h00:
 * Vendredi **16 mars**
+         * 10h30-12h00: mini cours par **[[http://www.proba.jussieu.fr/pageperso/levy/|Thierry Lévy]]**
          * 14h30-15h45:  **[[http://www.math.ku.dk/~mikosch/|Thomas Mikosch]]** // \\ //
          * 15h45-17h00:  **[[http://umr-math.univ-mlv.fr/membres/tian.peng|Peng Tian]]** // \\ //
 * Vendredi **6 avril**
+         * 10h30-12h00: mini cours par **[[http://www.proba.jussieu.fr/dw/doku.php?id=users:benhamou:index|Anna Ben Hamou]]**
 * Vendredi **11 mai**
 * Vendredi **8 juin**
 ===== Année 2016-2017 =====