過去の記録

数理科学研究科の活動

2020年02月14日(金)

FMSPレクチャーズ

17:00-18:00 数理科学研究科棟(駒場) 128号室
Piermarco Cannarsa 氏 (University of Rome Tor Vergata)
Bilinear control for evolution equations of parabolic type (ENGLISH)

[ 講演概要 ]
Recently, in a series of joint papers with F. Alabau-Boussouira and C. Urbani, I have studied the response of an evolution equation on a Hilbert space to the action of a bilinear control. As is well-known, a bilinear control is a scalar function of time multiplying one of the coefficient of the equation (usually, a lower order term). Therefore, this is a nonlinear control problem, even if the equation is linear in the state variable.
For such a problem, exact controllability is out of question, due to a well-known negative result by Ball, Marsden, and Slemrod back in the 80’s.
In this talk, equations of parabolic type will be considered, meaning that the infinitesimal generator - of the strongly continuous semigroup which drives the system - is assumed to be a self-adjoint accretive operator. It will be explained how, under some conditions relating the spectrum of the generator to the control coefficient, one can locally stabilise the system to the solution associated with the ground state at a doubly exponential speed, or even attain such a ground-state solution in finite time. Applications to concrete parabolic problems will also be provided.

[ 参考URL ]
http://fmsp.ms.u-tokyo.ac.jp/FMSPLectures_Cannarsa200214.pdf

2020年02月13日(木)

離散数理モデリングセミナー

16:30-18:30 数理科学研究科棟(駒場) 126号室
Sanjay Ramassamy 氏 (IPhT, CEA Saclay)
Embeddings adapted to two-dimensional models of statistical mechanics (English)

[ 講演概要 ]
A discrete model of statistical mechanics in 2D (for example simple random walk on the infinite square grid) can be defined on a graph without specifying a particular embedding of this graph. However, when stating that such a model converges to a conformally invariant object in the scaling limit, one needs to specify an embedding of the graph. For models which possess a local move, such as a star-triangle transformation, one would like the choice of the embedding to be compatible with that local move.

In this talk I will present a candidate for an embedding adapted to the 2D dimer model (a.k.a. random perfect matchings) on bipartite graphs, that is, graphs whose faces all have an even degree. This embedding is obtained by considering centers of circle patterns with the combinatorics of the graph on which the dimer model lives.

This is based on joint works with Dmitry Chelkak (École normale supérieure), Richard Kenyon (Yale University), Wai Yeung Lam (Université du Luxembourg) and Marianna Russkikh (MIT).

2020年02月12日(水)

統計数学セミナー

15:00-16:10 数理科学研究科棟(駒場) 126号室
Lorenzo Mercuri 氏 (University of Milan)
Handling the underlying noise of Stochastic Differential Equations in YUIMA project

[ 講演概要 ]
Some advances in the implementation of advanced mathematical tools and numerical methods for an object of class yuima.law are presented and discussed. An object of yuima.law-class refers to the mathematical description of the underlying noise specified in the formal definition of a general Stochastic Differential Equation. Its aim is to create a link between YUIMA and other R packages available on CRAN for managing specific Lévy noises. Here we present as examples the simulation and the estimation of a CARMA(p,q) and Point Process regression models.

2020年02月05日(水)

Lie群論・表現論セミナー

15:00-16:00 数理科学研究科棟(駒場) 126号室
Simon Gindikin 氏 (Rutgers University)
Direct inversion of the horospherical transform on Riemannian symmetric spaces (English)

[ 講演概要 ]
It was a problem of Gelfand to find an inversion of the horospherical transform directly and as a result to find directly the Plancherel formula.
I will give such an inversion and it gives a formula different from Harish-Chandra's one.