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Numerical Analysis Seminar
Seminar information archive ～10/31｜Next seminar｜Future seminars 11/01～
| Date, time & place | Tuesday 16:30 - 18:00 002Room #002 (Graduate School of Math. Sci. Bldg.) |
|---|---|
| Organizer(s) | Norikazu Saito, Takahito Kashiwabara |
Future seminars
2025/11/18
16:30-18:00 Room #002 (Graduate School of Math. Sci. Bldg.)
Guanyu Zhou (University of Electronic Science and Technology of China)
The mixed methods for the variational inequalities (English)
https://sites.google.com/g.ecc.u-tokyo.ac.jp/utnas-bulletin-board/
Guanyu Zhou (University of Electronic Science and Technology of China)
The mixed methods for the variational inequalities (English)
[ Abstract ]
We propose new mixed formulations for variational inequalities arising from contact problems, aimed at improving the approximation of the stress tensor and displacement in numerical simulations. We establish the well-posedness of these mixed variational inequalities. Furthermore, we will present their finite element analysis.
[ Reference URL ]We propose new mixed formulations for variational inequalities arising from contact problems, aimed at improving the approximation of the stress tensor and displacement in numerical simulations. We establish the well-posedness of these mixed variational inequalities. Furthermore, we will present their finite element analysis.
https://sites.google.com/g.ecc.u-tokyo.ac.jp/utnas-bulletin-board/
2025/11/25
16:30-18:00 Room #002 (Graduate School of Math. Sci. Bldg.)
Lars Diening (Bielefeld University)
Sobolev stability of the $L^2$-projection (English)
https://sites.google.com/g.ecc.u-tokyo.ac.jp/utnas-bulletin-board/
Lars Diening (Bielefeld University)
Sobolev stability of the $L^2$-projection (English)
[ Abstract ]
We prove the $W^{1,2}$-stability of the $L^2$-projection on Lagrange elements for adaptive meshes and arbitrary polynomial degree. This property is especially important for the numerical analysis of parabolic problems. We will explain that the stability of the projection is connected to the grading constants of the underlying adaptive refinement routine. For arbitrary dimensions, we show that the bisection algorithm of Maubach and Traxler produces meshes with a grading constant 2. This implies $W^{1,2}$-stability of the $L^2$-projection up to dimension six.
[ Reference URL ]We prove the $W^{1,2}$-stability of the $L^2$-projection on Lagrange elements for adaptive meshes and arbitrary polynomial degree. This property is especially important for the numerical analysis of parabolic problems. We will explain that the stability of the projection is connected to the grading constants of the underlying adaptive refinement routine. For arbitrary dimensions, we show that the bisection algorithm of Maubach and Traxler produces meshes with a grading constant 2. This implies $W^{1,2}$-stability of the $L^2$-projection up to dimension six.
https://sites.google.com/g.ecc.u-tokyo.ac.jp/utnas-bulletin-board/
