Course title | |||||
統計動力学系解析 [Statistical Dynamical System Analysis] | |||||
Course category | technology speciality courses | Requirement | Credit | 2 | |
Department | Year | 3~4 | Semester | 1st | |
Course type | 1st | Course code | 023552 | ||
Instructor(s) | |||||
花﨑 逸雄 [HANASAKI Itsuo] | |||||
Facility affiliation | Faculty of Engineering | Office | afjgxte/L1151 | Email address |
Course description |
This lecture introduces the basics of (nonlinear) dynamical systems and statistical mechanics with illustrative examples and practice of data analysis. |
Expected Learning |
To understand the basics of dynamical systems and statistical mechanics and to acquire basic skills of data analysis. |
Course schedule |
1: Guidance 2: Introduction of dynamical systems 3: bifurcation phenomena and chaos through discrete systems 4: Examples of chaos and part of history 5: link of synchronization and chaos through continuous dynamical system 6: Distinction of continuous dynamical systems by Poincare map 7: Brownian motion and diffusion 8: Brownian motion and time evolution of mean squared displacements (MSDs) 9: Central limit theorem as the reason of Gaussian distribution 10: Examples of big data analysis for applied mechanics 11: Classical statistical mechanics: Ensemble 12: Classical statistical mechanics: Partition function 13: Classical statistical mechanics: Transformation of variable for distribution 14: Examples of today's statistical mechanics that bridges four mechanics 15: Perspective of statistical mechanics and dynamical systems as applied mechanics |
Prerequisites |
Standard programming skills are necessary. |
Required Text(s) and Materials |
『ブラウン運動』米沢富美子著(共立出版)ISBN:978-4-320-03236-1 |
References |
『カオスとフラクタル 非線形の不思議』山口昌哉著(講談社)ISBN:978-4-06-132652-1 |
Assessment/Grading |
Data analysis exercises and final report will be assessed. |
Message from instructor(s) |
This lecture is for those who likes active learning. |
Course keywords |
Statistical mechanics, dynamical systems, nonlinear, chaos, random, Brownian motion, big data |
Office hours |
Accessible through e-mail |
Remarks 1 |
Remarks 2 |
Related URL |
Lecture Language |
Japanese |
Language Subject |
Last update |
2/5/2021 3:39:11 PM |