Differential geometry and Lie groups : a computational perspective / Jean Gallier, Jocelyn Quaintance.
Gallier, Jean H.; Quaintance, Jocelyn.
2020
QA641
Available Online

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Title Differential geometry and Lie groups : a computational perspective / Jean Gallier, Jocelyn Quaintance.
Author Gallier, Jean H.
ISBN 9783030460402 (electronic book)
3030460401 (electronic book)
3030460398
9783030460396
DOI https://doi.org/10.1007/978-3-030-46040-2
https://doi.org/10.1007/978-3-030-46
Publication Details Cham, Switzerland : Springer, 2020.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-46040-2 doi
10.1007/978-3-030-46
Call Number QA641
Dewey Decimal Classification 516.3/6
Summary This textbook offers an introduction to differential geometry designed for readers interested in modern geometry processing. Working from basic undergraduate prerequisites, the authors develop manifold theory and Lie groups from scratch; fundamental topics in Riemannian geometry follow, culminating in the theory that underpins manifold optimization techniques. Students and professionals working in computer vision, robotics, and machine learning will appreciate this pathway into the mathematical concepts behind many modern applications. Starting with the matrix exponential, the text begins with an introduction to Lie groups and group actions. Manifolds, tangent spaces, and cotangent spaces follow; a chapter on the construction of manifolds from gluing data is particularly relevant to the reconstruction of surfaces from 3D meshes. Vector fields and basic point-set topology bridge into the second part of the book, which focuses on Riemannian geometry. Chapters on Riemannian manifolds encompass Riemannian metrics, geodesics, and curvature. Topics that follow include submersions, curvature on Lie groups, and the Log-Euclidean framework. The final chapter highlights naturally reductive homogeneous manifolds and symmetric spaces, revealing the machinery needed to generalize important optimization techniques to Riemannian manifolds. Exercises are included throughout, along with optional sections that delve into more theoretical topics. Differential Geometry and Lie Groups: A Computational Perspective offers a uniquely accessible perspective on differential geometry for those interested in the theory behind modern computing applications. Equally suited to classroom use or independent study, the text will appeal to students and professionals alike; only a background in calculus and linear algebra is assumed. Readers looking to continue on to more advanced topics will appreciate the authors' companion volume Differential Geometry and Lie Groups: A Second Course.-- Provided by publisher.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Added Author Quaintance, Jocelyn.
Series Geometry and computing ; 12.
Available in Other Form Print version: 9783030460396
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1. The Matrix Exponential; Some Matrix Lie Groups
2. Adjoint Representations and the Derivative of exp
3. Introduction to Manifolds and Lie Groups
4. Groups and Group Actions
5. The Lorentz Groups ⊛
6. The Structure of O(p,q) and SO(p, q)
7. Manifolds, Tangent Spaces, Cotangent Spaces
8. Construction of Manifolds From Gluing Data ⊛
9. Vector Fields, Integral Curves, Flows
10. Partitions of Unity, Covering Maps ⊛
11. Basic Analysis: Review of Series and Derivatives
12. A Review of Point Set Topology.-13. Riemannian Metrics, Riemannian Manifolds
14. Connections on Manifolds
15. Geodesics on Riemannian Manifolds
16. Curvature in Riemannian Manifolds
17. Isometries, Submersions, Killing Vector Fields
18. Lie Groups, Lie Algebra, Exponential Map
19. The Derivative of exp and Dynkin's Formula ⊛
20. Metrics, Connections, and Curvature of Lie Groups
21. The Log-Euclidean Framework
22. Manifolds Arising from Group Actions.

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