Quasi-unipotent motives and monodromic nearby cycles functor

Người báo cáo: Phạm Khoa Bằng (Université de Rennes 1)

Thời gian: 16h30 thứ năm, ngày 27/04

Địa điểm: Pòng 612, Nhà A6.

Link online: https://meet.google.com/yep-kbzk-eao?pli=1&authuser=4

Tóm tắt: In this talk we recall the construction of the motivic stable homotopy category of V. Voevodsky and F. Morel. During 2001-02, Voevodsky gave a full lecture at IAS on the formalism of six operations in the motivic world but never published the details. Later, J. Ayoub figured out the details and published in his thesis, we would like to present some basic building blocks of this formalism. In a later work (the second volume of the thesis) of J. Ayoub, he successfully constructed the so-called motivic nearby cycles functor based on an idea of Rapoport-Zink on proving the tameness of the étale nearby cycles for semi-stable schemes over a strict local trait. Using this construction, F. Ivorra and J. Sebag proved that the motivic nearby cycles functor is really a motivic incarnation of the motivic nearby cycles and motivic Milnor fibers derived from the limits of motivic zeta functions in the theory of motivic integration. We will discuss these together with the category of quasi-unipotent motives which is an updated version of the motivic stable homotopy category and then it allows us to bring the monodromy action into account, which is an indispensable feature of nearby cycles.

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Xuất bản mới
Le Thi Hong Hanh, Dương Trọng Luyện, Nguyễn Minh Trí, Nontrivial Solutions to Boundary Value Problems for Semilinear $\Delta ^{\alpha ,\beta }_{\alpha _1,\beta _1}$-Differential Equations, Analysis and PDE in Developing Countries, Trends in Mathematics (TM, volume 17) (2026) pp 27–35, Birkhäuser/Springer, Cham, 2026 ISBN: 978-3-032-14210-8; 978-3-032-14211-5
Adam Czornik, Đoàn Thái Sơn, Nguyễn Thị Thu Sương, Pole Placement Theorem for Linear Measurable Time-Varying Control Systems with Single Input, SIAM Journal on Control and Optimization, Vol. 64, Iss. 4 (2026)
Đinh Nho Hào, Maxim Shishlenin, Van Ba Cong, Stable Numerical Solution to Multi-dimensional Nonlinear Inverse Heat Conduction Problems via Artificial Neural Networks, Lobachevskii Journal of Mathematics, Volume 47, pages 1213–1232 (2026)