北京雁栖湖应用数学研究院 北京雁栖湖应用数学研究院

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关于我们
院长致辞
理事会
协作机构
参观来访
人员
管理层
科研人员
博士后
来访学者
行政团队
学术支持
学术研究
研究团队
公开课
讨论班
期刊
招生招聘
教研人员
博士后
学生
会议
学术会议
工作坊
论坛
学院生活
住宿
交通
配套设施
周边旅游
新闻
新闻动态
通知公告
资料下载
清华大学 "求真书院"
清华大学丘成桐数学科学中心
清华三亚国际数学论坛
上海数学与交叉学科研究院
河套数学与交叉学科研究院
BIMSA > Introduction to General Relativity
Introduction to General Relativity
General relativity is one of the most revolutionary theories in 20th‑century physics. It fundamentally changed our understanding of space, time, and gravity. This course provides a systematic introduction to general relativity for students with a background in physics / mathematics.

Starting from the historical development of gravitational theory, we will examine the deep tension between Newtonian gravity and special relativity, and introduce the equivalence principle as the key physical insight. The course then systematically develops the mathematical tools required to describe curved spacetime – tensor analysis and Riemannian geometry. On this foundation, we derive Einstein’s field equations and study their applications in spherically symmetric spacetimes (the Schwarzschild solution), the weak‑field limit (Newtonian limit and classical tests), black hole physics, and elementary cosmology.

The course emphasises the interplay between physical intuition and mathematical structure, aiming to build a solid foundation for further studies in astrophysics, cosmology, and gravitational‑wave physics.
讲师
关永涛
日期
2026年10月13日 至 12月31日
位置
Weekday Time Venue Online ID Password
周二,周四 16:10 - 17:50 A14-203 ZOOM 07 559 700 6085 BIMSA
修课要求
Classical mechanics (Newtonian and Lagrangian mechanics); Electrodynamics (Maxwell’s equations); Special relativity (Lorentz transformations, Minkowski spacetime) Linear algebra and multivariable calculus (partial differential equations, vector calculus)
课程大纲
The following is a 16‑week plan (3 hours per week). Subject to change.

Week Topic Main Contents
1 Introduction and Physical Preliminaries Newtonian gravity and its difficulties; review of special relativity (Lorentz transformations, Minkowski spacetime, four‑vector notation)
2 Equivalence Principle and Geometrisation Formulations and experimental tests of the equivalence principle; weak vs. strong equivalence principle; gravity as spacetime curvature
3 Tensor Algebra (I) Manifolds and coordinate transformations; covariant and contravariant tensors; algebraic operations
4 Tensor Algebra (II) The metric tensor; Minkowski vs. Riemannian metrics; contraction and raising/lowering indices
5 Tensor Analysis (I) Covariant derivative and Christoffel symbols; geodesic equation
6 Tensor Analysis (II) Parallel transport; Riemann curvature tensor and its algebraic properties; Bianchi identities
7 Einstein’s Field Equations (I) Geometrisation of Newton’s field equation; structure and derivation of Einstein’s field equations
8 Einstein’s Field Equations (II) Einstein‑Hilbert action; energy‑momentum tensor; cosmological constant
9 Schwarzschild Solution and Black Holes (I) Spherically symmetric metrics; derivation of the Schwarzschild solution
10 Schwarzschild Solution and Black Holes (II) Geometry of Schwarzschild black holes; event horizon; singularity; Kruskal coordinates
11 Classical Tests of General Relativity Light deflection; Mercury’s perihelion advance; radar echo delay
12 Weak‑Field Limit and Gravitational Waves Linearised Einstein equations; generation and propagation of gravitational waves; detection
13 Elementary Cosmology (I) Cosmological principle; FLRW metric
14 Elementary Cosmology (II) Friedmann equations; simple cosmological models (matter‑dominated, radiation‑dominated, cosmological constant)
15 Selected Advanced Topics Kerr black holes, black hole thermodynamics, gravitational‑wave astronomy, black‑hole imaging (choose according to progress)
16 Review and Summary Overall framework; typical problem solving; Q&A session
参考资料
R. Wald, General Relativity, University of Chicago Press
听众
Undergraduate , Advanced Undergraduate , Graduate
视频公开
公开
笔记公开
公开
语言
英文
讲师介绍
I am an Associate Professor at BIMSA. I joined BIMSA in the summer of 2025. My Research area is statistical genetics, where I develop statistical and computational methods, mainly from Bayesian perspective, with targeted applications in genomic studies and genetic diagnosis. Currently I am working on studying haplotype variation using deep learning models. I am also interested in studying genetic determinants of autism, and early cancer screening.
北京雁栖湖应用数学研究院
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855 Tel. 010-60661855
Email. administration@bimsa.cn

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