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Part III — Differential Geometry Based on lectures by J. A. Ross Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often significantly) after lectures. They are nowhere near accurate representations of what was actually lectured, and in particular, all errors are almost surely mine. This course is intended as an introduction to modern differential geometry. It can be taken with a view to further studies in Geometry and Topology and should also be suitable as a supplementary course if your main interests are, for instance in Analysis or Mathematical Physics. A tentative syllabus is as follows. • Local Analysis and Differential Manifolds. Definition and examples of manifolds, smooth maps. Tangent vectors and vector fields, tangent bundle. Geometric consequences of the implicit function theorem, submanifolds. Lie Groups. • Vector Bundles. Structure group. The example of Hopf bundle. Bundle mor- phisms and automorphisms. Exterior algebra of differential forms. Tensors. Symplectic forms. Orientability of manifolds. Partitions of unity and integration on manifolds, Stokes Theorem; de Rham cohomology. Lie derivative of tensors. Connections on vector bundles and covariant derivatives: covariant exterior derivative, curvature. Bianchi identity. • Riemannian Geometry. Connections on the tangent bundle, torsion. Bianchi’s identities for torsion free connections. Riemannian metrics, Levi-Civita con- nection, Christoffel symbols, geodesics. Riemannian curvature tensor and its symmetries, second Bianchi identity, sectional curvatures. Pre-requisites An essential pre-requisite is a working knowledge of linear algebra (including bilinear forms) and multivariate calculus (e.g. differentiation and Taylor’s theorem in several variables). Exposure to some of the ideas of classical differential geometry might also be useful. 1 Contents III Differential Geometry Contents 0 Introduction 3 1 Manifolds 4 1.1 Manifolds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Smooth functions and derivatives . . . . . . . . . . . . . . . . . . 8 1.3 Bump functions and partitions of unity . . . . . . . . . . . . . . 13 1.4 Submanifolds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2 Vector fields 19 2.1 The tangent bundle . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.2 Flows . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.3 Lie derivative . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3 Lie groups 29 4 Vector bundles 34 4.1 Tensors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4.2 Vector bundles . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 5 Differential forms and de Rham cohomology 44 5.1 Differential forms . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 5.2 De Rham cohomology . . . . . . . . . . . . . . . . . . . . . . . . 49 5.3 Homological algebra and Mayer-Vietoris theorem . . . . . . . . . 53 6 Integration 57 6.1 Orientation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 6.2 Integration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 6.3 Stokes Theorem . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 7 De Rham’s theorem* 67 8 Connections 72 8.1 Basic properties of connections . . . . . . . . . . . . . . . . . . . 72 8.2 Geodesics and parallel transport . . . . . . . . . . . . . . . . . . 76 8.3 Riemannian connections . . . . . . . . . . . . . . . . . . . . . . . 78 8.4 Curvature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Index 86 2 0 Introduction III Differential Geometry 0 Introduction In differential geometry, the main object of study is a manifold. The motivation is as follows — from IA, we know well how to do calculus on Rn. We can talk about continuity, differentiable functions, derivatives etc. happily ever after. However, sometimes, we want to do calculus on things other than Rn. Say, we live on a sphere, namely the Earth. Does it make sense to “do calculus” on a sphere? Surely it does. The key insight is that these notions of differentiability, derivatives etc. are local properties. To know if a function is differentiable at a point p, we only need to know how the function behaves near p, and similarly such local information tells us how to compute derivatives. The reason we can do calculus on a sphere is because the sphere looks locally like Rn. Therefore, we can make sense of calculus on a sphere. Thus, what we want to do is to study calculus on things that look locally like Rn, and these are known as manifolds. Most of the time, our definitions from usual calculus on Rn transfer directly to manifolds. However, sometimes the global properties of our manifold will give us some new exciting things. In fact, we’ve already seen such things when we did IA Vector Calculus. If we have a vector field R3 → R3 whose curl vanishes everywhere, then we know it is the gradient of some function. However, if we consider such a vector field on R3 \{0} instead, then this is no longer true! Here the global topology of the space gives rise to interesting phenomena we do not see at a local level. When doing differential geometry, it is important to keep in mind that what we’ve learnt in vector calculus is actually a mess. R3 has a lot of special properties. Apart from being a topological space, it is also canonically a vector space, and in fact an inner product space. When we did vector calculus, these extra structure allowed us conflate many different concepts together. However, when we pass on to manifolds, we no longer have these identifications, and we have to be more careful. 3 1 Manifolds III Differential Geometry 1 Manifolds 1.1 Manifolds As mentioned in the introduction, manifolds are spaces that look locally like Rn. This local identification with Rn is done via a chart. Many sources start off with a topological space and then add extra structure to it, but we will be different and start with a bare set. Definition(Chart). Achart (U,ϕ)onasetM isabijectionϕ : U → ϕ(U) ⊆ Rn, where U ⊆ M and ϕ(U) is open. Achart (U,ϕ) is centered at p for p ∈ U if ϕ(p) = 0. Note that we do not require U to be open in M, or ϕ to be a homeomorphism, because these concepts do not make sense! M is just a set, not a topological space. p U ϕ ϕ(p) With a chart, we can talk about things like continuity, differentiability by identifying U with ϕ(U): Definition (Smooth function). Let (U,ϕ) be a chart on M and f : M → R. ∞ −1 Wesay f is smooth or C at p ∈ U if f ◦ ϕ : ϕ(U) → R is smooth at ϕ(p) in the usual sense. Rn ⊇ϕ(U) ϕ−1 U f R p U f ϕ −1 ϕ(p) f ◦ ϕ R 4
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