Riemannian Manifolds: An Introduction to Curvature by Lee

In summary, "Riemannian Manifolds: An Introduction to Curvature" by John Lee is a comprehensive and highly recommended book for those interested in learning about connections, parallel transport, geodesics, and curvature. The first 7 chapters cover these topics in detail, while the rest of the book delves into more advanced material. Prior knowledge of manifold theory is recommended before diving into this book.

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  • #1
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Table of Contents:
Code:
[LIST]
[*] Preface 
[*] What Is Curvature?
[LIST]
[*] The Euclidean Plane
[*] Surfaces in Space
[*] Curvature in Higher Dimensions
[/LIST]
[*] Review of Tensors, Manifolds, and Vector Bundles 
[LIST]
[*] Tensors on a Vector Space
[*] Manifolds
[*] Vector Bundles
[*] Tensor Bundles and Tensor Fields
[/LIST]
[*] Definitions and Examples of Riemannian Metrics 
[LIST]
[*] Riemannian Metrics
[*] Elementary Constructions Associated with Riemannian Metrics
[*] Generalizations of Riemannian Metrics
[*] The Model Spaces of Riemannian Geometry
[*] Problems
[/LIST]
[*] Connections 
[LIST]
[*] The Problem of Differentiating Vector Fields
[*] Connections
[*] Vector Fields Along Curves
[*] Geodesics
[*] Problems
[/LIST]
[*] Riemannian Geodesics 
[LIST]
[*] The Riemannian Connection
[*] The Exponential Map
[*] Normal Neighborhoods and Normal Coordinates
[*] Geodesics of the Model Spaces
[*] Problems
[/LIST]
[*] Geodesics and Distance 
[LIST]
[*] Lengths and Distances on Riemannian Manifolds
[*] Geodesics and Minimizing Curves
[*] Completeness
[*] Problems
[/LIST]
[*] Curvature
[LIST]
[*] Local Invariants
[*] Flat Manifolds
[*] Symmetries of the Curvature Tensor
[*] Ricci and Scalar Curvatures
[*] Problems
[/LIST]
[*] Riemannian Submanifolds 
[LIST]
[*] Riemannian Submanifolds and the Second Fundamental Form
[*] Hypersurfaces in Euclidean Space
[*] Geometric Interpretation of Curvature in Higher Dimensions
[*] Problems
[/LIST]
[*] The Gauss–Bonnet Theorem 
[LIST]
[*] Some Plane Geometry
[*] The Gauss–Bonnet Formula
[*] The Gauss–Bonnet Theorem
[*] Problems
[/LIST]
[*] Jacobi Fields 
[LIST]
[*] The Jacobi Equation
[*] Computations of Jacobi Fields
[*] Conjugate Points 
[*] The Second Variation Formula
[*] Geodesics Do Not Minimize Past Conjugate Points
[*] Problems
[/LIST]
[*] Curvature and Topology 
[LIST]
[*] Some Comparison Theorems 
[*] Manifolds of Negative Curvature
[*] Manifolds of Positive Curvature
[*] Manifolds of Constant Curvature
[*] Problems
[/LIST]
[*] References 
[*] Index
[/LIST]
 
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  • #2
This is an excellent book, one of my favorites. Definitely the best place to learn about connections, parallel transport, geodesics and curvature. This is covered in the first 7 chapters, 129 pages. The rest of the book covers stuff that most physicists probably won't be very interested in.

You should study the basics of manifold theory in "Introduction to smooth manifolds" before you study this one. You don't need to study the entire book, but you should make sure that you understand the terms smooth manifold, tangent space, cotangent space, vector bundle, tensor and tensor field.
 

1. What is a Riemannian manifold?

A Riemannian manifold is a mathematical concept used in differential geometry to describe a space that is locally similar to Euclidean space. It is a smooth, curved space that can be described by a set of coordinates and a metric tensor, which measures distances and angles on the manifold. Riemannian manifolds are used to study curvature and other geometric properties of spaces.

2. What is the significance of curvature in Riemannian manifolds?

Curvature is a fundamental property of Riemannian manifolds and is used to measure how much a space is curved. It is defined by the Riemann curvature tensor, which describes how vectors change when parallel transported along different paths on the manifold. Curvature plays a crucial role in understanding the geometry and topology of Riemannian manifolds.

3. How is the concept of curvature applied in real-life situations?

Riemannian manifolds and the concept of curvature have many practical applications, such as in physics and engineering. For example, curvature is used in general relativity to describe the curvature of spacetime and in computer graphics to create realistic 3D surfaces. It is also used in optimization problems to find the shortest path between two points on a curved surface.

4. What are some common examples of Riemannian manifolds?

Some common examples of Riemannian manifolds include spheres, tori, and hyperbolic spaces. These are all curved spaces that can be described by a set of coordinates and a metric tensor. Other examples include spaces with non-constant curvature, such as the surface of a saddle or a warped space. Riemannian manifolds can also be used to describe complex and abstract spaces, such as the space of solutions to a differential equation.

5. Can Riemannian manifolds be visualized?

Riemannian manifolds can be difficult to visualize, as they often exist in higher dimensions than we are used to. However, certain special cases, such as surfaces in 3D space, can be visualized and studied using techniques from differential geometry. In general, visualization of Riemannian manifolds requires advanced mathematical tools and techniques, but it is possible to gain some intuition about these spaces through visualizations and diagrams.

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