Aspects of Global Riemannian Geometry
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General Relativity As Taught in 1979, 1983 By
General Relativity As taught in 1979, 1983 by Joel A. Shapiro November 19, 2015 2. Last Latexed: November 19, 2015 at 11:03 Joel A. Shapiro c Joel A. Shapiro, 1979, 2012 Contents 0.1 Introduction............................ 4 0.2 SpecialRelativity ......................... 7 0.3 Electromagnetism. 13 0.4 Stress-EnergyTensor . 18 0.5 Equivalence Principle . 23 0.6 Manifolds ............................. 28 0.7 IntegrationofForms . 41 0.8 Vierbeins,Connections . 44 0.9 ParallelTransport. 50 0.10 ElectromagnetisminFlatSpace . 56 0.11 GeodesicDeviation . 61 0.12 EquationsDeterminingGeometry . 67 0.13 Deriving the Gravitational Field Equations . .. 68 0.14 HarmonicCoordinates . 71 0.14.1 ThelinearizedTheory . 71 0.15 TheBendingofLight. 77 0.16 PerfectFluids ........................... 84 0.17 Particle Orbits in Schwarzschild Metric . 88 0.18 AnIsotropicUniverse. 93 0.19 MoreontheSchwarzschild Geometry . 102 0.20 BlackHoleswithChargeandSpin. 110 0.21 Equivalence Principle, Fermions, and Fancy Formalism . .115 0.22 QuantizedFieldTheory . .121 3 4. Last Latexed: November 19, 2015 at 11:03 Joel A. Shapiro Note: This is being typed piecemeal in 2012 from handwritten notes in a red looseleaf marked 617 (1983) but may have originated in 1979 0.1 Introduction I am, myself, an elementary particle physicist, and my interest in general relativity has come from the growth of a field of quantum gravity. Because the gravitational inderactions of reasonably small objects are so weak, quantum gravity is a field almost entirely divorced from contact with reality in the form of direct confrontation with experiment. There are three areas of contact 1. In relativistic quantum mechanics, one usually formulates the physical quantities in terms of fields. A field is a physical degree of freedom, or variable, definded at each point of space and time. -
Riemannian Geometry and the General Theory of Relativity
University of Montana ScholarWorks at University of Montana Graduate Student Theses, Dissertations, & Professional Papers Graduate School 1967 Riemannian geometry and the general theory of relativity Marie McBride Vanisko The University of Montana Follow this and additional works at: https://scholarworks.umt.edu/etd Let us know how access to this document benefits ou.y Recommended Citation Vanisko, Marie McBride, "Riemannian geometry and the general theory of relativity" (1967). Graduate Student Theses, Dissertations, & Professional Papers. 8075. https://scholarworks.umt.edu/etd/8075 This Thesis is brought to you for free and open access by the Graduate School at ScholarWorks at University of Montana. It has been accepted for inclusion in Graduate Student Theses, Dissertations, & Professional Papers by an authorized administrator of ScholarWorks at University of Montana. For more information, please contact [email protected]. p m TH3 OmERAl THEORY OF RELATIVITY By Marie McBride Vanisko B.A., Carroll College, 1965 Presented in partial fulfillment of the requirements for the degree of Master of Arts UNIVERSITY OF MOKT/JTA 1967 Approved by: Chairman, Board of Examiners D e a ^ Graduante school V AUG 8 1967, Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. V W Number: EP38876 All rights reserved INFORMATION TO ALL USERS The quality of this reproduotion is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missir^ pages, these will be noted. Also, if matedal had to be removed, a note will indicate the deletion. UMT Oi*MMtion neiitNna UMi EP38876 Published ProQuest LLQ (2013). -
Riemannian Geometry Learning for Disease Progression Modelling Maxime Louis, Raphäel Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
Riemannian geometry learning for disease progression modelling Maxime Louis, Raphäel Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman To cite this version: Maxime Louis, Raphäel Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman. Riemannian geometry learning for disease progression modelling. 2019. hal-02079820v2 HAL Id: hal-02079820 https://hal.archives-ouvertes.fr/hal-02079820v2 Preprint submitted on 17 Apr 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Riemannian geometry learning for disease progression modelling Maxime Louis1;2, Rapha¨elCouronn´e1;2, Igor Koval1;2, Benjamin Charlier1;3, and Stanley Durrleman1;2 1 Sorbonne Universit´es,UPMC Univ Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM) 2 Inria Paris, Aramis project-team, 75013, Paris, France 3 Institut Montpelli`erainAlexander Grothendieck, CNRS, Univ. Montpellier Abstract. The analysis of longitudinal trajectories is a longstanding problem in medical imaging which is often tackled in the context of Riemannian geometry: the set of observations is assumed to lie on an a priori known Riemannian manifold. When dealing with high-dimensional or complex data, it is in general not possible to design a Riemannian geometry of relevance. In this paper, we perform Riemannian manifold learning in association with the statistical task of longitudinal trajectory analysis. -
MAT 362 at Stony Brook, Spring 2011
MAT 362 Differential Geometry, Spring 2011 Instructors' contact information Course information Take-home exam Take-home final exam, due Thursday, May 19, at 2:15 PM. Please read the directions carefully. Handouts Overview of final projects pdf Notes on differentials of C1 maps pdf tex Notes on dual spaces and the spectral theorem pdf tex Notes on solutions to initial value problems pdf tex Topics and homework assignments Assigned homework problems may change up until a week before their due date. Assignments are taken from texts by Banchoff and Lovett (B&L) and Shifrin (S), unless otherwise noted. Topics and assignments through spring break (April 24) Solutions to first exam Solutions to second exam Solutions to third exam April 26-28: Parallel transport, geodesics. Read B&L 8.1-8.2; S2.4. Homework due Tuesday May 3: B&L 8.1.4, 8.2.10 S2.4: 1, 2, 4, 6, 11, 15, 20 Bonus: Figure out what map projection is used in the graphic here. (A Facebook account is not needed.) May 3-5: Local and global Gauss-Bonnet theorem. Read B&L 8.4; S3.1. Homework due Tuesday May 10: B&L: 8.1.8, 8.4.5, 8.4.6 S3.1: 2, 4, 5, 8, 9 Project assignment: Submit final version of paper electronically to me BY FRIDAY MAY 13. May 10: Hyperbolic geometry. Read B&L 8.5; S3.2. No homework this week. Third exam: May 12 (in class) Take-home exam: due May 19 (at presentation of final projects) Instructors for MAT 362 Differential Geometry, Spring 2011 Joshua Bowman (main instructor) Office: Math Tower 3-114 Office hours: Monday 4:00-5:00, Friday 9:30-10:30 Email: joshua dot bowman at gmail dot com Lloyd Smith (grader Feb. -
An Introduction to Riemannian Geometry with Applications to Mechanics and Relativity
An Introduction to Riemannian Geometry with Applications to Mechanics and Relativity Leonor Godinho and Jos´eNat´ario Lisbon, 2004 Contents Chapter 1. Differentiable Manifolds 3 1. Topological Manifolds 3 2. Differentiable Manifolds 9 3. Differentiable Maps 13 4. Tangent Space 15 5. Immersions and Embeddings 22 6. Vector Fields 26 7. Lie Groups 33 8. Orientability 45 9. Manifolds with Boundary 48 10. Notes on Chapter 1 51 Chapter 2. Differential Forms 57 1. Tensors 57 2. Tensor Fields 64 3. Differential Forms 66 4. Integration on Manifolds 72 5. Stokes Theorem 75 6. Orientation and Volume Forms 78 7. Notes on Chapter 2 80 Chapter 3. Riemannian Manifolds 87 1. Riemannian Manifolds 87 2. Affine Connections 94 3. Levi-Civita Connection 98 4. Minimizing Properties of Geodesics 104 5. Hopf-Rinow Theorem 111 6. Notes on Chapter 3 114 Chapter 4. Curvature 115 1. Curvature 115 2. Cartan’s Structure Equations 122 3. Gauss-Bonnet Theorem 131 4. Manifolds of Constant Curvature 137 5. Isometric Immersions 144 6. Notes on Chapter 4 150 1 2 CONTENTS Chapter 5. Geometric Mechanics 151 1. Mechanical Systems 151 2. Holonomic Constraints 160 3. Rigid Body 164 4. Non-Holonomic Constraints 177 5. Lagrangian Mechanics 186 6. Hamiltonian Mechanics 194 7. Completely Integrable Systems 203 8. Notes on Chapter 5 209 Chapter 6. Relativity 211 1. Galileo Spacetime 211 2. Special Relativity 213 3. The Cartan Connection 223 4. General Relativity 224 5. The Schwarzschild Solution 229 6. Cosmology 240 7. Causality 245 8. Singularity Theorem 253 9. Notes on Chapter 6 263 Bibliography 265 Index 267 CHAPTER 1 Differentiable Manifolds This chapter introduces the basic notions of differential geometry. -
Riemannian Geometry and Multilinear Tensors with Vector Fields on Manifolds Md
International Journal of Scientific & Engineering Research, Volume 5, Issue 9, September-2014 157 ISSN 2229-5518 Riemannian Geometry and Multilinear Tensors with Vector Fields on Manifolds Md. Abdul Halim Sajal Saha Md Shafiqul Islam Abstract-In the paper some aspects of Riemannian manifolds, pseudo-Riemannian manifolds, Lorentz manifolds, Riemannian metrics, affine connections, parallel transport, curvature tensors, torsion tensors, killing vector fields, conformal killing vector fields are focused. The purpose of this paper is to develop the theory of manifolds equipped with Riemannian metric. I have developed some theorems on torsion and Riemannian curvature tensors using affine connection. A Theorem 1.20 named “Fundamental Theorem of Pseudo-Riemannian Geometry” has been established on Riemannian geometry using tensors with metric. The main tools used in the theorem of pseudo Riemannian are tensors fields defined on a Riemannian manifold. Keywords: Riemannian manifolds, pseudo-Riemannian manifolds, Lorentz manifolds, Riemannian metrics, affine connections, parallel transport, curvature tensors, torsion tensors, killing vector fields, conformal killing vector fields. —————————— —————————— I. Introduction (c) { } is a family of open sets which covers , that is, 푖 = . Riemannian manifold is a pair ( , g) consisting of smooth 푈 푀 manifold and Riemannian metric g. A manifold may carry a (d) ⋃ is푈 푖푖 a homeomorphism푀 from onto an open subset of 푀 ′ further structure if it is endowed with a metric tensor, which is a 푖 . 푖 푖 휑 푈 푈 natural generation푀 of the inner product between two vectors in 푛 ℝ to an arbitrary manifold. Riemannian metrics, affine (e) Given and such that , the map = connections,푛 parallel transport, curvature tensors, torsion tensors, ( ( ) killingℝ vector fields and conformal killing vector fields play from푖 푗 ) to 푖 푗 is infinitely푖푗 −1 푈 푈 푈 ∩ 푈 ≠ ∅ 휓 important role to develop the theorem of Riemannian manifolds. -
Chapter 13 Curvature in Riemannian Manifolds
Chapter 13 Curvature in Riemannian Manifolds 13.1 The Curvature Tensor If (M, , )isaRiemannianmanifoldand is a connection on M (that is, a connection on TM−), we− saw in Section 11.2 (Proposition 11.8)∇ that the curvature induced by is given by ∇ R(X, Y )= , ∇X ◦∇Y −∇Y ◦∇X −∇[X,Y ] for all X, Y X(M), with R(X, Y ) Γ( om(TM,TM)) = Hom (Γ(TM), Γ(TM)). ∈ ∈ H ∼ C∞(M) Since sections of the tangent bundle are vector fields (Γ(TM)=X(M)), R defines a map R: X(M) X(M) X(M) X(M), × × −→ and, as we observed just after stating Proposition 11.8, R(X, Y )Z is C∞(M)-linear in X, Y, Z and skew-symmetric in X and Y .ItfollowsthatR defines a (1, 3)-tensor, also denoted R, with R : T M T M T M T M. p p × p × p −→ p Experience shows that it is useful to consider the (0, 4)-tensor, also denoted R,givenby R (x, y, z, w)= R (x, y)z,w p p p as well as the expression R(x, y, y, x), which, for an orthonormal pair, of vectors (x, y), is known as the sectional curvature, K(x, y). This last expression brings up a dilemma regarding the choice for the sign of R. With our present choice, the sectional curvature, K(x, y), is given by K(x, y)=R(x, y, y, x)but many authors define K as K(x, y)=R(x, y, x, y). Since R(x, y)isskew-symmetricinx, y, the latter choice corresponds to using R(x, y)insteadofR(x, y), that is, to define R(X, Y ) by − R(X, Y )= + . -
Basics of the Differential Geometry of Surfaces
Chapter 20 Basics of the Differential Geometry of Surfaces 20.1 Introduction The purpose of this chapter is to introduce the reader to some elementary concepts of the differential geometry of surfaces. Our goal is rather modest: We simply want to introduce the concepts needed to understand the notion of Gaussian curvature, mean curvature, principal curvatures, and geodesic lines. Almost all of the material presented in this chapter is based on lectures given by Eugenio Calabi in an upper undergraduate differential geometry course offered in the fall of 1994. Most of the topics covered in this course have been included, except a presentation of the global Gauss–Bonnet–Hopf theorem, some material on special coordinate systems, and Hilbert’s theorem on surfaces of constant negative curvature. What is a surface? A precise answer cannot really be given without introducing the concept of a manifold. An informal answer is to say that a surface is a set of points in R3 such that for every point p on the surface there is a small (perhaps very small) neighborhood U of p that is continuously deformable into a little flat open disk. Thus, a surface should really have some topology. Also,locally,unlessthe point p is “singular,” the surface looks like a plane. Properties of surfaces can be classified into local properties and global prop- erties.Intheolderliterature,thestudyoflocalpropertieswascalled geometry in the small,andthestudyofglobalpropertieswascalledgeometry in the large.Lo- cal properties are the properties that hold in a small neighborhood of a point on a surface. Curvature is a local property. Local properties canbestudiedmoreconve- niently by assuming that the surface is parametrized locally. -
Hodge Theory
HODGE THEORY PETER S. PARK Abstract. This exposition of Hodge theory is a slightly retooled version of the author's Harvard minor thesis, advised by Professor Joe Harris. Contents 1. Introduction 1 2. Hodge Theory of Compact Oriented Riemannian Manifolds 2 2.1. Hodge star operator 2 2.2. The main theorem 3 2.3. Sobolev spaces 5 2.4. Elliptic theory 11 2.5. Proof of the main theorem 14 3. Hodge Theory of Compact K¨ahlerManifolds 17 3.1. Differential operators on complex manifolds 17 3.2. Differential operators on K¨ahlermanifolds 20 3.3. Bott{Chern cohomology and the @@-Lemma 25 3.4. Lefschetz decomposition and the Hodge index theorem 26 Acknowledgments 30 References 30 1. Introduction Our objective in this exposition is to state and prove the main theorems of Hodge theory. In Section 2, we first describe a key motivation behind the Hodge theory for compact, closed, oriented Riemannian manifolds: the observation that the differential forms that satisfy certain par- tial differential equations depending on the choice of Riemannian metric (forms in the kernel of the associated Laplacian operator, or harmonic forms) turn out to be precisely the norm-minimizing representatives of the de Rham cohomology classes. This naturally leads to the statement our first main theorem, the Hodge decomposition|for a given compact, closed, oriented Riemannian manifold|of the space of smooth k-forms into the image of the Laplacian and its kernel, the sub- space of harmonic forms. We then develop the analytic machinery|specifically, Sobolev spaces and the theory of elliptic differential operators|that we use to prove the aforementioned decom- position, which immediately yields as a corollary the phenomenon of Poincar´eduality. -
Curvature of Riemannian Manifolds
Curvature of Riemannian Manifolds Seminar Riemannian Geometry Summer Term 2015 Prof. Dr. Anna Wienhard and Dr. Gye-Seon Lee Soeren Nolting July 16, 2015 1 Motivation Figure 1: A vector parallel transported along a closed curve on a curved manifold.[1] The aim of this talk is to define the curvature of Riemannian Manifolds and meeting some important simplifications as the sectional, Ricci and scalar curvature. We have already noticed, that a vector transported parallel along a closed curve on a Riemannian Manifold M may change its orientation. Thus, we can determine whether a Riemannian Manifold is curved or not by transporting a vector around a loop and measuring the difference of the orientation at start and the endo of the transport. As an example take Figure 1, which depicts a parallel transport of a vector on a two-sphere. Note that in a non-curved space the orientation of the vector would be preserved along the transport. 1 2 Curvature In the following we will use the Einstein sum convention and make use of the notation: X(M) space of smooth vector fields on M D(M) space of smooth functions on M 2.1 Defining Curvature and finding important properties This rather geometrical approach motivates the following definition: Definition 2.1 (Curvature). The curvature of a Riemannian Manifold is a correspondence that to each pair of vector fields X; Y 2 X (M) associates the map R(X; Y ): X(M) ! X(M) defined by R(X; Y )Z = rX rY Z − rY rX Z + r[X;Y ]Z (1) r is the Riemannian connection of M. -
Semi-Riemannian Manifold Optimization
Semi-Riemannian Manifold Optimization Tingran Gao William H. Kruskal Instructor Committee on Computational and Applied Mathematics (CCAM) Department of Statistics The University of Chicago 2018 China-Korea International Conference on Matrix Theory with Applications Shanghai University, Shanghai, China December 19, 2018 Outline Motivation I Riemannian Manifold Optimization I Barrier Functions and Interior Point Methods Semi-Riemannian Manifold Optimization I Optimality Conditions I Descent Direction I Semi-Riemannian First Order Methods I Metric Independence of Second Order Methods Optimization on Semi-Riemannian Submanifolds Joint work with Lek-Heng Lim (The University of Chicago) and Ke Ye (Chinese Academy of Sciences) Riemannian Manifold Optimization I Optimization on manifolds: min f (x) x2M where (M; g) is a (typically nonlinear, non-convex) Riemannian manifold, f : M! R is a smooth function on M I Difficult constrained optimization; handled as unconstrained optimization from the perspective of manifold optimization I Key ingredients: tangent spaces, geodesics, exponential map, parallel transport, gradient rf , Hessian r2f Riemannian Manifold Optimization I Riemannian Steepest Descent x = Exp (−trf (x )) ; t ≥ 0 k+1 xk k I Riemannian Newton's Method 2 r f (xk ) ηk = −∇f (xk ) x = Exp (−tη ) ; t ≥ 0 k+1 xk k I Riemannian trust region I Riemannian conjugate gradient I ...... Gabay (1982), Smith (1994), Edelman et al. (1998), Absil et al. (2008), Adler et al. (2002), Ring and Wirth (2012), Huang et al. (2015), Sato (2016), etc. Riemannian Manifold Optimization I Applications: Optimization problems on matrix manifolds I Stiefel manifolds n Vk (R ) = O (n) =O (k) I Grassmannian manifolds Gr (k; n) = O (n) = (O (k) × O (n − k)) I Flag manifolds: for n1 + ··· + nd = n, Flag = O (n) = (O (n ) × · · · × O (n )) n1;··· ;nd 1 d I Shape Spaces k×n R n f0g =O (n) I ..... -
Geometry and Entropies in a Fixed Conformal Class on Surfaces
GEOMETRY AND ENTROPIES IN A FIXED CONFORMAL CLASS ON SURFACES THOMAS BARTHELME´ AND ALENA ERCHENKO Abstract. We show the flexibility of the metric entropy and obtain additional restrictions on the topological entropy of geodesic flow on closed surfaces of negative Euler characteristic with smooth non-positively curved Riemannian metrics with fixed total area in a fixed conformal class. Moreover, we obtain a collar lemma, a thick-thin decomposition, and precompactness for the considered class of metrics. Also, we extend some of the results to metrics of fixed total area in a fixed conformal class with no focal points and with some integral bounds on the positive part of the Gaussian curvature. 1. Introduction When M is a fixed surface, there has been a long history of studying how the geometric or dynamical data (e.g., the Laplace spectrum, systole, entropies or Lyapunov exponents of the geodesic flow) varies when one varies the metric on M, possibly inside a particular class. In [BE20], we studied these questions in a class of metrics that seemed to have been overlooked: the family of non-positively curved metrics within a fixed conformal class. In this article, we prove several conjectures made in [BE20], as well as give a fairly complete, albeit coarse, picture of the geometry of non-positively curved metrics within a fixed conformal class. Since Gromov’s famous systolic inequality [Gro83], there has been a lot of interest in upper bounds on the systole (see for instance [Gut10]). In general, there is no positive lower bound on the systole. However, we prove here that non-positively curved metrics in a fixed conformal class do admit such a lower bound.