Text only print
Full screen print
Today's seminar
Seminar information archive ～01/13｜Today's seminar 01/14 | Future seminars 01/15～
2026/01/14
Algebraic Geometry Seminar
13:30-15:00 Room #122 (Graduate School of Math. Sci. Bldg.)
Radu Laza (Stony Brook University)
Remarks on Lagrangian Fibrations on Hyperkähler Manifolds
Radu Laza (Stony Brook University)
Remarks on Lagrangian Fibrations on Hyperkähler Manifolds
[ Abstract ]
Hyperkähler manifolds are fundamental building blocks in the classification theory of algebraic varieties. A central problem is the finiteness of their deformation types, and, more ambitiously, the classification of these types. A natural approach to these questions is through the study of Lagrangian fibrations. In particular, the SYZ conjecture predicts that every deformation class of hyperkähler manifolds contains a member admitting a Lagrangian fibration.
In this talk, I will discuss several recent results on Lagrangian fibrations on hyperkähler manifolds. I will focus in particular on the special case of isotrivial Lagrangian fibrations, and on the striking fact that no such fibration exists in the exceptional OG10 deformation type. I will also briefly mention general boundedness results for Lagrangian fibrations, as well as results concerning the structure of their singular fibers. This latter part is largely based on the work of other authors, with some additional perspective and commentary of my own.
Hyperkähler manifolds are fundamental building blocks in the classification theory of algebraic varieties. A central problem is the finiteness of their deformation types, and, more ambitiously, the classification of these types. A natural approach to these questions is through the study of Lagrangian fibrations. In particular, the SYZ conjecture predicts that every deformation class of hyperkähler manifolds contains a member admitting a Lagrangian fibration.
In this talk, I will discuss several recent results on Lagrangian fibrations on hyperkähler manifolds. I will focus in particular on the special case of isotrivial Lagrangian fibrations, and on the striking fact that no such fibration exists in the exceptional OG10 deformation type. I will also briefly mention general boundedness results for Lagrangian fibrations, as well as results concerning the structure of their singular fibers. This latter part is largely based on the work of other authors, with some additional perspective and commentary of my own.
FJ-LMI Seminar
15:00-17:00 Room #056 (Graduate School of Math. Sci. Bldg.)
Thomas Karam (Shanghai Jiao Tong University)
Contributions of information theory to pure mathematics (英語)
https://fj-lmi.cnrs.fr/seminars/
Thomas Karam (Shanghai Jiao Tong University)
Contributions of information theory to pure mathematics (英語)
[ Abstract ]
Information theory, founded by Shannon (1948), was originally motivated by communications engineering and has since grown to occupy a key role in several major approaches to artificial intelligence, including machine learning and neural networks, among others. Lecture 1 shall discuss the origins and the definition of Shannon entropy, as well as two approaches naturally leading to that definition. Lecture 2 shall then cover the definitions of the main central information-theoretic quantities aside from the Shannon entropies of random variables, and the main identities and inequalities that they satisfy. Lecture 3 will then specialise these results to recover many of the standard identities and inequalities involving dimensions of groups, dimensions of linear spaces and sizes of sets.
After that, Lectures 4,5,6,7 shall each illustrate a way in which basic information theory has provided tools that have enabled first proofs or new enlightening proofs of several results in pure mathematics that have simple and accessible formulations and are central to their respective areas. In probability, we shall highlight an entropy proof of the central limit theorem and the underlying analogy between Shannon entropy and thermodynamic entropy. In geometry, we shall explore applications of entropy to higher-dimensional geometry, in particular through Shearer’s lemma (1986) and the resulting control of the size of a set by its projections. In pure combinatorics, we shall focus on a breakthrough of Gilmer (2022) on the infamous conjecture of Frankl (1979) on union-closed families of sets. In combinatorial number theory, we shall outline the solution by Gowers, Green, Manners, Tao (2024) to Marton’s conjecture, one of the central problems of the area.
Finally, Lecture 8 will be devoted to a brief glimpse of the mathematically beautiful theory of information geometry recognised last year (2025) by the award of the Kyoto Prize to its founder Amari, and conclude with some of its practical applications – to neural networks – as Shannon presumably would have.
[ Reference URL ]Information theory, founded by Shannon (1948), was originally motivated by communications engineering and has since grown to occupy a key role in several major approaches to artificial intelligence, including machine learning and neural networks, among others. Lecture 1 shall discuss the origins and the definition of Shannon entropy, as well as two approaches naturally leading to that definition. Lecture 2 shall then cover the definitions of the main central information-theoretic quantities aside from the Shannon entropies of random variables, and the main identities and inequalities that they satisfy. Lecture 3 will then specialise these results to recover many of the standard identities and inequalities involving dimensions of groups, dimensions of linear spaces and sizes of sets.
After that, Lectures 4,5,6,7 shall each illustrate a way in which basic information theory has provided tools that have enabled first proofs or new enlightening proofs of several results in pure mathematics that have simple and accessible formulations and are central to their respective areas. In probability, we shall highlight an entropy proof of the central limit theorem and the underlying analogy between Shannon entropy and thermodynamic entropy. In geometry, we shall explore applications of entropy to higher-dimensional geometry, in particular through Shearer’s lemma (1986) and the resulting control of the size of a set by its projections. In pure combinatorics, we shall focus on a breakthrough of Gilmer (2022) on the infamous conjecture of Frankl (1979) on union-closed families of sets. In combinatorial number theory, we shall outline the solution by Gowers, Green, Manners, Tao (2024) to Marton’s conjecture, one of the central problems of the area.
Finally, Lecture 8 will be devoted to a brief glimpse of the mathematically beautiful theory of information geometry recognised last year (2025) by the award of the Kyoto Prize to its founder Amari, and conclude with some of its practical applications – to neural networks – as Shannon presumably would have.
https://fj-lmi.cnrs.fr/seminars/
Number Theory Seminar
17:00-18:00 Room #117 (Graduate School of Math. Sci. Bldg.)
Takuro Fukayama (University of Tokyo)
The number of cuspidal representations over a function field and its behavior under base changes
Takuro Fukayama (University of Tokyo)
The number of cuspidal representations over a function field and its behavior under base changes
[ Abstract ]
Cuspidal representations of a reductive group are largely determined by their local components. In the function field case, it is important to describe how the number of cuspidal representations with given local conditions changes under base changes. Assuming Arthur's simple trace formula for function fields, this number should be given by the sum of Gross's L-functions attached to some reductive groups. In this talk, I will explain the expression of the sum of L-functions and its behavior under base changes for some classical groups.
Cuspidal representations of a reductive group are largely determined by their local components. In the function field case, it is important to describe how the number of cuspidal representations with given local conditions changes under base changes. Assuming Arthur's simple trace formula for function fields, this number should be given by the sum of Gross's L-functions attached to some reductive groups. In this talk, I will explain the expression of the sum of L-functions and its behavior under base changes for some classical groups.
Tokyo Probability Seminar
15:00-17:30 Room #126 (Graduate School of Math. Sci. Bldg.)
Xia Chen (University of Tennessee) 15:00-16:00
Hyperbolic Anderson equations and Brownian intersection local times
Moderate deviations for the capacity of the random walk range
Xia Chen (University of Tennessee) 15:00-16:00
Hyperbolic Anderson equations and Brownian intersection local times
[ Abstract ]
An idea recently merged from the investigation of hyperbolic Anderson equations is
to represent the chaos expansion of the solution in terms of Brownian intersection local
times. In this talk, I will address effeteness, current state, potentials and challenge about
this method.bPart of the talk comes from the work joined with Yaozhong Hu
Jiyun Park (Stanford University) 16:30-17:30An idea recently merged from the investigation of hyperbolic Anderson equations is
to represent the chaos expansion of the solution in terms of Brownian intersection local
times. In this talk, I will address effeteness, current state, potentials and challenge about
this method.bPart of the talk comes from the work joined with Yaozhong Hu
Moderate deviations for the capacity of the random walk range
[ Abstract ]
It is known that the capacity of the range of a random walk in d dimensions behaves similarly to the volume of the random walk in d-2 dimensions. In this talk, we extend this analogy to the moderate deviations of the capacity in dimension 5. In particular, we demonstrate that the large deviation principle transitions from a Gaussian tail to a non-Gaussian tail depending on the deviation scale. We also improve previously known results for dimension 4. Based on joint work with Arka Adhikari.
It is known that the capacity of the range of a random walk in d dimensions behaves similarly to the volume of the random walk in d-2 dimensions. In this talk, we extend this analogy to the moderate deviations of the capacity in dimension 5. In particular, we demonstrate that the large deviation principle transitions from a Gaussian tail to a non-Gaussian tail depending on the deviation scale. We also improve previously known results for dimension 4. Based on joint work with Arka Adhikari.
