What the Hell is a Connection

Similar documents
7 Curvature of a connection

MILNOR SEMINAR: DIFFERENTIAL FORMS AND CHERN CLASSES

4.7 The Levi-Civita connection and parallel transport

Chapter 1 Review of Equations and Inequalities

Black Holes, Thermodynamics, and Lagrangians. Robert M. Wald

3.3.1 Linear functions yet again and dot product In 2D, a homogenous linear scalar function takes the general form:

Caltech Ph106 Fall 2001

NOTES ON DIFFERENTIAL FORMS. PART 3: TENSORS

1. Geometry of the unit tangent bundle

CS 468 (Spring 2013) Discrete Differential Geometry

Connections for noncommutative tori

CS 468, Lecture 11: Covariant Differentiation

Lecture I: Vectors, tensors, and forms in flat spacetime

15. LECTURE 15. I can calculate the dot product of two vectors and interpret its meaning. I can find the projection of one vector onto another one.

The Implicit Function Theorem

Bulletin of the Transilvania University of Braşov Vol 8(57), No Series III: Mathematics, Informatics, Physics, 43-56

class # MATH 7711, AUTUMN 2017 M-W-F 3:00 p.m., BE 128 A DAY-BY-DAY LIST OF TOPICS

FOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 37

Gravitation: Tensor Calculus

Spin(10,1)-metrics with a parallel null spinor and maximal holonomy

Metrics and Holonomy

LECTURE 9: MOVING FRAMES IN THE NONHOMOGENOUS CASE: FRAME BUNDLES. 1. Introduction

Lecture 10: A (Brief) Introduction to Group Theory (See Chapter 3.13 in Boas, 3rd Edition)

Tensors, and differential forms - Lecture 2

and the diagram commutes, which means that every fibre E p is mapped to {p} V.

Manifolds in Fluid Dynamics

Vectors Part 1: Two Dimensions

DIFFERENTIAL GEOMETRY. LECTURE 12-13,

Name: Date: Period: Calculus Honors: 4-2 The Product Rule

HOMEWORK 2 - RIEMANNIAN GEOMETRY. 1. Problems In what follows (M, g) will always denote a Riemannian manifold with a Levi-Civita connection.

CALCULUS I. Integrals. Paul Dawkins

1 Introduction: connections and fiber bundles

Physics 6303 Lecture 3 August 27, 2018

Vectors. January 13, 2013

Lifting General Relativity to Observer Space

A Lie-Group Approach for Nonlinear Dynamic Systems Described by Implicit Ordinary Differential Equations

INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD

,, rectilinear,, spherical,, cylindrical. (6.1)

NOTES ON DIFFERENTIAL FORMS. PART 1: FORMS ON R n

CHAPTER 1 PRELIMINARIES

THEODORE VORONOV DIFFERENTIAL GEOMETRY. Spring 2009

General Relativity and Cosmology Mock exam

GLASGOW Paolo Lorenzoni

Differential Geometry MTG 6257 Spring 2018 Problem Set 4 Due-date: Wednesday, 4/25/18

Introduction to Group Theory

LECTURE 8: THE SECTIONAL AND RICCI CURVATURES

Clifford Algebras and Spin Groups

Physics 480/581. Homework No. 10 Solutions: due Friday, 19 October, 2018

Choice of Riemannian Metrics for Rigid Body Kinematics

Solving Equations. Lesson Fifteen. Aims. Context. The aim of this lesson is to enable you to: solve linear equations

Metric spaces and metrizability

Smooth Dynamics 2. Problem Set Nr. 1. Instructor: Submitted by: Prof. Wilkinson Clark Butler. University of Chicago Winter 2013

SEMISIMPLE LIE GROUPS

In economics, the amount of a good x demanded is a function of the price of that good. In other words,

Physics 110. Electricity and Magnetism. Professor Dine. Spring, Handout: Vectors and Tensors: Everything You Need to Know

Perelman s Dilaton. Annibale Magni (TU-Dortmund) April 26, joint work with M. Caldarelli, G. Catino, Z. Djadly and C.

As always, the story begins with Riemann surfaces or just (real) surfaces. (As we have already noted, these are nearly the same thing).

Exact Solutions of the Einstein Equations

On the existence of isoperimetric extremals of rotation and the fundamental equations of rotary diffeomorphisms

Physics 557 Lecture 5

1.3 LECTURE 3. Vector Product

Physics 411 Lecture 7. Tensors. Lecture 7. Physics 411 Classical Mechanics II

!t + U " #Q. Solving Physical Problems: Pitfalls, Guidelines, and Advice

Representation theory and the X-ray transform

arxiv:math-ph/ v1 20 Sep 2004

The Bianchi Identity in Path Space

Chapter 0. Preliminaries. 0.1 Things you should already know

5 Constructions of connections

2. Signal Space Concepts

Transparent connections

Scalar Electrodynamics. The principle of local gauge invariance. Lower-degree conservation

INTERSECTION THEORY CLASS 19

Confidence intervals

Slope Fields: Graphing Solutions Without the Solutions

NOTES ON FORMAL NEIGHBORHOODS AND JET BUNDLES

General tensors. Three definitions of the term V V. q times. A j 1...j p. k 1...k q

Definition: Quadratic equation: A quadratic equation is an equation that could be written in the form ax 2 + bx + c = 0 where a is not zero.

A constant is a value that is always the same. (This means that the value is constant / unchanging). o

DIFFERENTIAL EQUATIONS

Lecture Wise Questions from 23 to 45 By Virtualians.pk. Q105. What is the impact of double integration in finding out the area and volume of Regions?

Figure 1: Doing work on a block by pushing it across the floor.

WARPED PRODUCTS PETER PETERSEN

PHYS 4390: GENERAL RELATIVITY NON-COORDINATE BASIS APPROACH

Lines and points. Lines and points

1.4 LECTURE 4. Tensors and Vector Identities

C/CS/Phys C191 Particle-in-a-box, Spin 10/02/08 Fall 2008 Lecture 11

How to Use Calculus Like a Physicist

Special Theory Of Relativity Prof. Shiva Prasad Department of Physics Indian Institute of Technology, Bombay

The Liapunov Method for Determining Stability (DRAFT)

INTRODUCTION TO GEOMETRY

CHAPTER 4 VECTORS. Before we go any further, we must talk about vectors. They are such a useful tool for

INTRODUCTION TO ALGEBRAIC GEOMETRY

THE MCKEAN-SINGER FORMULA VIA EQUIVARIANT QUANTIZATION

Donaldson and Seiberg-Witten theory and their relation to N = 2 SYM

A Primer on Three Vectors

Mathematics that Every Physicist should Know: Scalar, Vector, and Tensor Fields in the Space of Real n- Dimensional Independent Variable with Metric

Tensors - Lecture 4. cos(β) sin(β) sin(β) cos(β) 0

Line Integrals and Path Independence

Coordinate Systems and Canonical Forms

FOUNDATIONS OF ALGEBRAIC GEOMETRY CLASS 43

Transcription:

What the Hell is a Connection Ruben Verresen April 9, 2014 The basic question is: how do we differentiate a section of a vector bundle? Denote π : E X and an arbitrary section s : X E. There is a natural object, the differential of our section: (ds) p : T p X T s(p) E However we don t want our result to be a tangent vector of E, rather we want it to be a vector of E itself (e.g. in the specific case of the tangent bundle π : T X X, where our section is a (tangent) vector field, we want D V s to be a tangent vector of X again!) Hence we want Ds : T p X E p (notation: (Ds)(V ) is usually written D V s) Written differently, we want D V : C (E) C (E), our ( covariant ) derivative of sections. To get such a Ds from ds, the missing link is a map T s(p) E E p. Later we will see that mapping is our connection! Pictorially, if we take X = S 1 and E to be the trivial rank one vector bundle: Figure 1: What we have (i.e. ds) and what we want (i.e. Ds) Based on this picture, it seems like this should be straightforward: we see we just want the projection onto the fiber! This is misleading however. That s because we can see a natural metric on our bundle, and indeed for a given metric there is a natural connection of sorts (given by this orthogonal projection), called the Levi-Civita connection. But more generally there is no natural choice! 1

To see what s the tricky part, let s write it out eplicitly in coordinates. Take coordinates ( i ) of X. Then if we write vectors of E p as v = a j e j we have coordinates ( i, a j ) on E. Recall the general formula f : X Y then df = f j i y j di Applying it to our case gives ds = j i j di + sj i a j di It looks like the first term is just 1 (since j = δ j i i ), in which case our natural choice for D is the second term, which indeed likes wholly in the fiber E p. This is wrong. Let s be more careful and specify the relevant points at which the objects are defined (in coordinates): (ds) p = ( ) ( d i) + sj i (,a) i ( ) ( d i) (1) a j (,a) and realize that we can t meaningfully identify ( ) ( ) ( but j (,a) j ( ) ( ) ) = j (,0) j Let s again eplore this pictorially, now taking X = R and E = R 2 : the vertical lines are our fibers. Remember that a j are our fiber coordinates with respect to e j, which is a basis that obviously depends on! Graphically / corresponds to the direction you move in if you fi the a coordinates. This direction need not be horizontal and depends crucially on e j ()! Figure 2: Demonstrating how / depends on the choice of our basis e() Hence we see there s no canonical way of getting rid of the first term in (1). One approach is: we choose a certain basis {e j ()} and define it to be flat, i.e. in the picture above we say e() is by definition a constant section. This comes down to: ignore the first term in (1) in this specific basis (or said differently, in this specific trivialization, since choosing a (local) basis comes down to choosing a (local) trivialization of our vector bundle). I.e. define Ds : T p X E p given by sj i a j di in the basis/trivialization {e j } 2

This is one approach, but it s not the most general. In fact, it turns out that all such connections are flat! Indeed, if we interpret flatness as parallel transport around all loops is trivial, then the above will have that feature. In the above case this is not clear, since all vector bundles on 1-dimensional spaces are flat. Hence let s look at X = R 2 and E = R 3. Now the choice of e() is a (non-vanishing) function R 2 R. Figure 3: The red loop is a parallelly transported vector along the gray loop Parallel transport around a loop comes down to just traversing the loop on e() as shown (if we start on 1 e()). The reason for this is simple: e() is by definition flat, so it tells us eactly how keep a vector constant. But that means we always end up where we started, this means there is no curvature! (Note this shows that if E is trivial, such that there is a global basis, we can build a flat connection.) The most general thing we can do is simply say: we project or another, denoted by i θj i e j i onto our fiber one way This θ j i is a function of i and a j. Given the vector structure of our fibers, it is natural 2 to impose θ j i (, a) = Aj ik ()ak This A is called our connection. Its role is the projection 3 we needed on page 1: A : T s(p) E E p in coordinates: A = A j ik () ak e j (d i ) (,a) + e j da j (2) In other words, A projects the first term in (1) onto E p as follows: ( ) ( d i) i Aj ik ak e j ( d i) (,a) Note that A contains the second term e j da j to canonically project the second term of (1). In conclusion, from (1) and this projection, we get that our covariant derivative is D = A d : s j e j ( i s j + A j ik sk ) e j d i This is sometimes abbreviated as D = D A = d A = d + A. Be careful with this: this is not the d in the ds from before, in fact it s the second term of ds in (1). 1 Of course we can start anywhere, it just becomes a bit harder to draw neatly. 2 This makes the space of flat sections a vector space. 3 Its kernal is usually called the horizontal subspace. 3

A second interpretation of the connection, clearer in the notation d A = d + A, is the deviation of s being constant if we move in a certain direction. More precisely, A i (supressing the fiber indices) is a linear operator on the fiber telling us if we move in the direction of increasing i, then if I start with a vector s, the deviation from being constant is A i s. The first interpretation, where we see A as being a projection operator, makes the transformation property of A i jk natural! Indeed, suppose we change trivialization/basis {e i } such that ( ã = ψa ẽ = eψ 1 s.t. ãiẽ i = ẽ ã = e a ) It s handy if we rewrite the definition (2) in this suggestive matri notation: A = e (A i d i ) a + e da = ẽψ (A i d i ) ψ 1 ã + ẽψ d(ψ 1 ã) = ẽ ( ψ(a i d i )ψ 1 + ψdψ 1 ) ã + ẽ dã This is the well-known gauge transformation 4 Two comments about this transformation: à i = ψa i ψ 1 + ψ i ψ 1 (3) 1. We implicitly assumed d i is the same object whether we use coordinates ( i, a j ) or ( i, ã j ), but this is not as trivial as it seems! The whole reason we had to bother with connections is because / i depends on our choice of basis {e i }, but as it turns out, d i does not :) Mathematically: Graphically: ( ) i old (d i ) new = j i ( j ) new ( ) + ãk i ã = + ψk l k j new = i j (dj ) old + i a k dãk = (d j ) old i al ã k Figure 4: The way / and d transform when changing other coordinates 4 Strictly speaking, this is a passive transformation: we change coordinates. In physics we also assume that our physical quantities should be invariant under the active transformation where we fi our coordinates but choose a different connection à such that its coordinates are numerically the same as those of A in a different coordinate system, for which we use (3). Hence whereas gauge invariance is usually seen as a sort of independence of coordinates it s saying eactly the opposite: our physical laws only use coordinates, hence even two objects that are mathematically different but have coordinate epressions that can be related by coordinate transformations should be seen as the same on a physical level. 4

2. In the case of the tangent bundle π : T X X we usually do both a change of local trivialization ( which on the fiber) and a coordinate transformation (which on the base space). This is not necessary (one can use old coordinates on the manifold with new coordinates on the tangent space) but it is natural, since then we re always using a coordinate basis on the tangent space. If we do both, (3) gets an etra transformation factor (which indeed appears for the Christoffel symbol in GR). Finally, note that there are some other definitions of connections. Firstly, physicists like to take (3) as a definition. And in mathematics one sometimes uses the aiomatic definition where we define the covariant derivative as something D : Ω 0 (E) Ω 1 (E) that satisfies the Leibniz rule D(fs) = (df)s + fds From our perspective, we ve proven such objects eist, and we started at the natural preeisting notion of the differential of a section, and then realized the missing object was a projection operator taking the tangent spaces of E to the fibers of E. The aiomatic definition is more amenable for the generalization to Ω p (E), where we define D(sω) = (Ds) ω + sdω s Ω 0 (E), ω Ω p (R) Again we don t need the aiomatic definition, and we can just define Dω = d A ω = dω + A ω ω Ω p (E) (one can indeed show this is equivalent). The same disclaimer is appropriate: this d is not the usual differential, but rather as before defined by its coordinates Note that still d 2 ω = 0. dω = i ω I d i d I This generalization can be seen as an application of what we have done above: if we have a projection operator A as above, it induces a natural projection operator (from tangent space to fiber) for the vector bundles Ω p (E), and that approach is again equivalent to the one described just now. (Am I sure? I might be confusing differentials and eterior derivatives here! Not the same effect, no anti-symmetry in the former! EDIT: in the fact the d in d A = d+a can also be seen as a proper eterior derivative. This has to do with the fact that on a local trivialization E = X R k we can re-interpret our section as (locally) s : X R k. It is an eterior derivative on this object. For more info, see the blog post. 5