名古屋大学 大学院多元数理科学研究科・理学部数理学科
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教育・就職 - 2023年度 - 少人数クラスシラバス - S. リシャール

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ファイル更新日:2022年12月22日

教育・就職

少人数クラスシラバス


S. リシャール

学部・大学院区分
Undergraduate / Graduate
多・前期
時間割コード
Registration Code
科目区分
Course Category
B類(講究) C類(実習)/Category B Category C
科目名【日本語】
Course Title
関数解析講究1
関数解析講究2
関数解析講究3
関数解析講究4
関数解析実習1
関数解析実習2
関数解析実習3
関数解析実習4
科目名【英語】
Course Title
Seminar on Functional Analysis 1
Seminar on Functional Analysis 2
Seminar on Functional Analysis 3
Seminar on Functional Analysis 4
Practical Class on Functional Analysis 1
Practical Class on Functional Analysis 2
Practical Class on Functional Analysis 3
Practical Class on Functional Analysis 4
コースナンバリングコード
Course Numbering Code
担当教員【日本語】
Instructor
リシャール セルジュ
担当教員【英語】
Instructor
Serge RICHARD
単位数
Credit
B類4単位 C類1単位
開講期・開講時間帯
Term / Day / Period
前期課程1年春学期(講究1・実習1)
前期課程1年秋学期(講究2・実習2)
前期課程2年春学期(講究3・実習3)
前期課程2年秋学期(講究4・実習4)
授業形態
Course style
セミナー
学科・専攻
Department / Program
多元数理科学研究科
必修・選択
Compulsory / Selected
選択必修
授業の目的【日本語】
Goals of the Course(JPN)
授業の目的【英語】
Goals of the Course
Develop the ability to read, understand, and communicate scientific material of any kind: books, papers, videos, etc. Acquire a solid knowledge in one specialized field, but extend the interest and understanding on various topics. Become an independent thinker and researcher.
到達目標【日本語】
Objectives of the Course(JPN)
到達目標【英語】
Objectives of the Course
The following two independent subjects are proposed:
1) Functional analysis: The aim is study functional analysis with a special emphasis on spectral theory. Scattering theory, index theory for C*-algebras, non-commutative topology, are some of the possible topics studied during this seminar.
2) Data assimilation: The aim is to study various tools of data assimilation, and to work on some concrete problems. Once a sufficient understanding is reached, interact with the data assimilation research team from RIKEN.
授業の内容や構成
Course Content / Plan
The seminar consists in regular meetings and oral presentations made by students. Each participant is working on a different subject and with a different support (book or articles). Everybody can benefit from the work of the other students though the presentations and the explanations provided. The seminars and the interactions are taking place in English.
履修条件
Course Prerequisites
1) Standard undergraduate courses of calculus and functional analysis.
2) Basic programming skill, or a strong motivation for studying implementations
関連する科目
Related Courses
1) The master course provided each spring semester on a topic related to this seminar, as for example "C*-algebraic methods in spectral theory" (Spring 2022 & 2014), "K-theory for C*-algebras, and beyond" (Spring 2020 & 2015), "Introduction to functional analysis" (Spring 2019), "Scattering theory" (Spring 2018), "Dixmier traces" (Spring 2017), "Hilbert space methods for quantum mechanics" (Spring 2016).
2) The course "Introduction to data assimilation" (Spring 2022).
See the following link for the corresponding lecture notes:
http://www.math.nagoya-u.ac.jp/?richard/lecture_notes.html
成績評価の方法と基準
Course Evaluation Method and Criteria
Grade based on attendance, oral presentations, independent work, and a written report.
教科書・テキスト
Textbook
As a starter, some of the lecture notes available on
http://www.math.nagoya-u.ac.jp/~richard/lecture_notes.html
参考書
Reference Book
According to the interest of the students, several possible books will be proposed, as for example:
- Hilbert space methods in quantum mechanics, Amrein, 2009
- C*-algebras and operator theory, Murphy, 1990
- An introduction to K-theory for C*-algebras, Rordam, Larsen, Laustsen, 2000
- Mathematical scattering theory: general theory, Yafaev, 1991
- Basic noncommutative geometry, Khalkhali, 2010
- Data Assimilation, a mathematical introduction, Law, Stuart, Zygalakis, 2014
- Probabilistic Forecasting and Bayesian Data Assimilation, Reich, Cotter, 2015
課外学習等 (授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
Most of the work consists in reading, understanding, and sharing knowledge.
注意事項
Notice for Students
It is certainly easier to improve your English skill in the quiet environment of a seminar rather than later on in a busy life.
質問への対応方法
How to Ask Questions
By email
他学科聴講の可否
Propriety of Other department student’s attendance
You are welcome.
他学科聴講の条件
Conditions for Other department student’s attendance
This seminar is intended for master students from the graduate school of mathematics, but any motivated student can also attend it.
レベル
Level
2
キーワード
Keyword
Spectral theory, scattering theory, C*-algebras, index theorems, data assimilation
履修の際のアドバイス
Advice
授業開講形態等
Lecture format, etc.
This will be decided according to the number of students attending the seminar. In person meetings will be prefered, and online meetings will be chosen when necessary.
遠隔授業(オンデマンド型)で行う場合の追加措置
Additional measures for remote class (on-demand class)