Statphys Seminar (online) May 31 by Dr. Kenji Harada

計算物性物理メーリングリストのみなさま

東大の大久保です。
5/31日に下記の内容で統計力学セミナーをオンライン(Zoom)で開催します。
参加をご希望の方は大久保
 t-okubo@phys.s.u-tokyo.ac.jp
までご連絡ください。
折り返し、Zoomの接続情報を送ります。

大久保 毅

————————————————————
統計力学セミナー StatPhys Seminar @ UTokyo Hongo
sites.google.com/view/statphys-seminar

2021年5月31日(月)10:00〜11:00 (第2回) (2nd: 10am-11am, May 31, 2021)

原田健自氏(京大)Dr. Kenji Harada (Kyoto Univ.)

Title: Universal spectrum structure on the nonequilibrium critical line of the one-dimensional Domany-Kinzel cellular automaton

Abstract:
The Domany-Kinzel(DK) cellular automaton is a stochastic time-evolutional system with an absorbing state from which the system cannot escape and a canonical model for nonequilibrium critical phenomena[1]. We introduce the tensor network method as a new tool to study it. Estimating the entropy of the DK automaton with a matrix product state representation of distribution, we reported a new cusp of the Renyi entropy in the active phase of the DK cellular automaton[2]. We recently applied a tensor renormalization group method to transfer matrices at the nonequilibrium critical point of the DK cellular automaton, confirming a universal spectrum structure[3]. In this talk, we will report our results with a brief review of models and methods.
[1] M. Henkel, H. Hinrichsen, and S. L?beck, Non-Equilibrium Phase Transitions. Volume 1: Absorbing Phase Transitions, Vol. 1 (Springer, 2008).
[2] K. H. and N. Kawashima, Entropy Governed by the Absorbing State of Directed Percolation, Physical Review Letters 123, 090601 (2019).
[3] K. H., Universal spectrum structure at nonequilibrium critical points in the (1+1)-dimensional directed percolation, arXiv:2008.10807.
————————————————————
##############################################
大久保 毅
東京大学大学院理学系研究科物理学専攻 特任講師
〒113-0033 東京都文京区本郷7-3-1
東京大学大学院理学系研究科物理学専攻
理学部1号館9階 940
e-mail: t-okubo@phys.s.u-tokyo.ac.jp
Tel: 03-5841-4609

————————————————-
Computational Material Physics Mailing List
home: www.issp.u-tokyo.ac.jp/public/cmp/
archive: cmp-ml.issp.u-tokyo.ac.jp
twitter: https://twitter.com/cmp_ml
————————————————-