The Tangent Bundle of an Almost Complex Manifold
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A Geometric Take on Metric Learning
A Geometric take on Metric Learning Søren Hauberg Oren Freifeld Michael J. Black MPI for Intelligent Systems Brown University MPI for Intelligent Systems Tubingen,¨ Germany Providence, US Tubingen,¨ Germany [email protected] [email protected] [email protected] Abstract Multi-metric learning techniques learn local metric tensors in different parts of a feature space. With such an approach, even simple classifiers can be competitive with the state-of-the-art because the distance measure locally adapts to the struc- ture of the data. The learned distance measure is, however, non-metric, which has prevented multi-metric learning from generalizing to tasks such as dimensional- ity reduction and regression in a principled way. We prove that, with appropriate changes, multi-metric learning corresponds to learning the structure of a Rieman- nian manifold. We then show that this structure gives us a principled way to perform dimensionality reduction and regression according to the learned metrics. Algorithmically, we provide the first practical algorithm for computing geodesics according to the learned metrics, as well as algorithms for computing exponential and logarithmic maps on the Riemannian manifold. Together, these tools let many Euclidean algorithms take advantage of multi-metric learning. We illustrate the approach on regression and dimensionality reduction tasks that involve predicting measurements of the human body from shape data. 1 Learning and Computing Distances Statistics relies on measuring distances. When the Euclidean metric is insufficient, as is the case in many real problems, standard methods break down. This is a key motivation behind metric learning, which strives to learn good distance measures from data. -
INTRODUCTION to ALGEBRAIC GEOMETRY 1. Preliminary Of
INTRODUCTION TO ALGEBRAIC GEOMETRY WEI-PING LI 1. Preliminary of Calculus on Manifolds 1.1. Tangent Vectors. What are tangent vectors we encounter in Calculus? 2 0 (1) Given a parametrised curve α(t) = x(t); y(t) in R , α (t) = x0(t); y0(t) is a tangent vector of the curve. (2) Given a surface given by a parameterisation x(u; v) = x(u; v); y(u; v); z(u; v); @x @x n = × is a normal vector of the surface. Any vector @u @v perpendicular to n is a tangent vector of the surface at the corresponding point. (3) Let v = (a; b; c) be a unit tangent vector of R3 at a point p 2 R3, f(x; y; z) be a differentiable function in an open neighbourhood of p, we can have the directional derivative of f in the direction v: @f @f @f D f = a (p) + b (p) + c (p): (1.1) v @x @y @z In fact, given any tangent vector v = (a; b; c), not necessarily a unit vector, we still can define an operator on the set of functions which are differentiable in open neighbourhood of p as in (1.1) Thus we can take the viewpoint that each tangent vector of R3 at p is an operator on the set of differential functions at p, i.e. @ @ @ v = (a; b; v) ! a + b + c j ; @x @y @z p or simply @ @ @ v = (a; b; c) ! a + b + c (1.2) @x @y @z 3 with the evaluation at p understood. -
Lecture 2 Tangent Space, Differential Forms, Riemannian Manifolds
Lecture 2 tangent space, differential forms, Riemannian manifolds differentiable manifolds A manifold is a set that locally look like Rn. For example, a two-dimensional sphere S2 can be covered by two subspaces, one can be the northen hemisphere extended slightly below the equator and another can be the southern hemisphere extended slightly above the equator. Each patch can be mapped smoothly into an open set of R2. In general, a manifold M consists of a family of open sets Ui which covers M, i.e. iUi = M, n ∪ and, for each Ui, there is a continuous invertible map ϕi : Ui R . To be precise, to define → what we mean by a continuous map, we has to define M as a topological space first. This requires a certain set of properties for open sets of M. We will discuss this in a couple of weeks. For now, we assume we know what continuous maps mean for M. If you need to know now, look at one of the standard textbooks (e.g., Nakahara). Each (Ui, ϕi) is called a coordinate chart. Their collection (Ui, ϕi) is called an atlas. { } The map has to be one-to-one, so that there is an inverse map from the image ϕi(Ui) to −1 Ui. If Ui and Uj intersects, we can define a map ϕi ϕj from ϕj(Ui Uj)) to ϕi(Ui Uj). ◦ n ∩ ∩ Since ϕj(Ui Uj)) to ϕi(Ui Uj) are both subspaces of R , we express the map in terms of n ∩ ∩ functions and ask if they are differentiable. -
5. the Inverse Function Theorem We Now Want to Aim for a Version of the Inverse Function Theorem
5. The inverse function theorem We now want to aim for a version of the Inverse function Theorem. In differential geometry, the inverse function theorem states that if a function is an isomorphism on tangent spaces, then it is locally an isomorphism. Unfortunately this is too much to expect in algebraic geometry, since the Zariski topology is too weak for this to be true. For example consider a curve which double covers another curve. At any point where there are two points in the fibre, the map on tangent spaces is an isomorphism. But there is no Zariski neighbourhood of any point where the map is an isomorphism. Thus a minimal requirement is that the morphism is a bijection. Note that this is not enough in general for a morphism between al- gebraic varieties to be an isomorphism. For example in characteristic p, Frobenius is nowhere smooth and even in characteristic zero, the parametrisation of the cuspidal cubic is a bijection but not an isomor- phism. Lemma 5.1. If f : X −! Y is a projective morphism with finite fibres, then f is finite. Proof. Since the result is local on the base, we may assume that Y is affine. By assumption X ⊂ Y × Pn and we are projecting onto the first factor. Possibly passing to a smaller open subset of Y , we may assume that there is a point p 2 Pn such that X does not intersect Y × fpg. As the blow up of Pn at p, fibres over Pn−1 with fibres isomorphic to P1, and the composition of finite morphisms is finite, we may assume that n = 1, by induction on n. -
Spinc GEOMETRY of K¨AHLER MANIFOLDS and the HODGE
SPINc GEOMETRY OF KAHLER¨ MANIFOLDS AND THE HODGE LAPLACIAN ON MINIMAL LAGRANGIAN SUBMANIFOLDS O. HIJAZI, S. MONTIEL, AND F. URBANO Abstract. From the existence of parallel spinor fields on Calabi- Yau, hyper-K¨ahleror complex flat manifolds, we deduce the ex- istence of harmonic differential forms of different degrees on their minimal Lagrangian submanifolds. In particular, when the sub- manifolds are compact, we obtain sharp estimates on their Betti numbers. When the ambient manifold is K¨ahler-Einstein with pos- itive scalar curvature, and especially if it is a complex contact manifold or the complex projective space, we prove the existence of K¨ahlerian Killing spinor fields for some particular spinc struc- tures. Using these fields, we construct eigenforms for the Hodge Laplacian on certain minimal Lagrangian submanifolds and give some estimates for their spectra. Applications on the Morse index of minimal Lagrangian submanifolds are obtained. 1. Introduction Recently, connections between the spectrum of the classical Dirac operator on submanifolds of a spin Riemannian manifold and its ge- ometry were investigated. Even when the submanifold is spin, many problems appear. In fact, it is known that the restriction of the spin bundle of a spin manifold M to a spin submanifold is a Hermitian bun- dle given by the tensorial product of the intrinsic spin bundle of the submanifold and certain bundle associated with the normal bundle of the immersion ([2, 3, 6]). In general, it is not easy to have a control on such a Hermitian bundle. Some results have been obtained ([2, 24, 25]) when the normal bundle of the submanifold is trivial, for instance for hypersurfaces. -
The Chirka-Lindelof and Fatou Theorems for D-Bar Subsolutions
The Chirka - Lindel¨of and Fatou theorems for ∂J-subsolutions Alexandre Sukhov* * Universit´ede Lille, Laboratoire Paul Painlev´e, U.F.R. de Math´e-matique, 59655 Villeneuve d’Ascq, Cedex, France, [email protected] The author is partially suported by Labex CEMPI. Institut of Mathematics with Computing Centre - Subdivision of the Ufa Research Centre of Russian Academy of Sciences, 45008, Chernyshevsky Str. 112, Ufa, Russia. Abstract. This paper studies boundary properties of bounded functions with bounded ∂J differential on strictly pseudoconvex domains in an almost complex manifold. MSC: 32H02, 53C15. Key words: almost complex manifold, ∂-operator, strictly pseudoconvex domain, the Fatou theorem. Contents 1 Introduction 2 2 Almost complex manifolds and almost holomorphic functions 3 arXiv:1808.04266v1 [math.CV] 10 Aug 2018 2.1 Almostcomplexmanifolds............................ 3 2.2 Pseudoholomorphicdiscs............................. 4 2.3 The ∂J -operator on an almost complex manifold (M,J)............ 6 2.4 Plurisubharmonic functions on almost complex manifolds: the background . 8 2.5 Boundary properties of subsolutions of the ∂-operator in the unit disc . 9 3 The Chirka-Lindel¨of principle for strictly pseudoconvex domains 10 3.1 Localapproximationbyhomogeneousmodels . .. 12 3.2 Caseofmodelstructures . .. .. .. 13 3.3 DeformationargumentandproofofTheorem3.4 . ... 16 4 The Fatou theorem 17 1 1 Introduction The first fundamental results on analytic properties of almost complex structures (in sev- eral variables) are due to Newlander - Nirenberg [9] and Nijenhuis - Woolf [10]. After the seminal work by M.Gromov [7] the theory of pseudoholomorphic curves in almost complex manifolds became one of the most powerful tools of the symplectic geometry and now is rapidly increasing. -
The Orientation Manifesto (For Undergraduates)
The Orientation Manifesto (for undergraduates) Timothy E. Goldberg 11 November 2007 An orientation of a vector space is represented by an ordered basis of the vector space. We think of an orientation as a twirl, namely the twirl that rotates the first basis vector to the second, and the second to the third, and so on. Two ordered bases represent the same orientation if they generate the same twirl. (This amounts to the linear transformation taking one basis to the other having positive determinant.) If you think about it carefully, there are only ever two choices of twirls, and hence only two choices of orientation. n Because each R has a standard choice of ordered basis, fe1; e2; : : : ; eng (where ei is has 1 in the ith coordinates and 0 everywhere else), each Rn has a standard choice of orientation. The standard orientation of R is the twirl that points in the positive direction. The standard orientation of R2 is the counterclockwise twirl, moving from 3 e1 = (1; 0) to e2 = (0; 1). The standard orientation of R is a twirl that sweeps from the positive x direction to the positive y direction, and up the positive z direction. It's like a directed helix, pointed up and spinning in the counterclockwise direction if viewed from above. See Figure 1. An orientation of a curve, or a surface, or a solid body, is really a choice of orientations of every single tangent space, in such a way that the twirls all agree with each other. (This can be made horribly precise, when necessary.) There are several ways for a manifold to pick up an orientation. -
On Manifolds of Negative Curvature, Geodesic Flow, and Ergodicity
ON MANIFOLDS OF NEGATIVE CURVATURE, GEODESIC FLOW, AND ERGODICITY CLAIRE VALVA Abstract. We discuss geodesic flow on manifolds of negative sectional curva- ture. We find that geodesic flow is ergodic on the tangent bundle of a manifold, and present the proof for both n = 2 on surfaces and general n. Contents 1. Introduction 1 2. Riemannian Manifolds 1 2.1. Geodesic Flow 2 2.2. Horospheres and Horocycle Flows 3 2.3. Curvature 4 2.4. Jacobi Fields 4 3. Anosov Flows 4 4. Ergodicity 5 5. Surfaces of Negative Curvature 6 5.1. Fuchsian Groups and Hyperbolic Surfaces 6 6. Geodesic Flow on Hyperbolic Surfaces 7 7. The Ergodicity of Geodesic Flow on Compact Manifolds of Negative Sectional Curvature 8 7.1. Foliations and Absolute Continuity 9 7.2. Proof of Ergodicity 12 Acknowledgments 14 References 14 1. Introduction We want to understand the behavior of geodesic flow on a manifold M of constant negative curvature. If we consider a vector in the unit tangent bundle of M, where does that vector go (or not go) when translated along its unique geodesic path. In a sense, we will show that the vector goes \everywhere," or that the vector visits a full measure subset of T 1M. 2. Riemannian Manifolds We first introduce some of the initial definitions and concepts that allow us to understand Riemannian manifolds. Date: August 2019. 1 2 CLAIRE VALVA Definition 2.1. If M is a differentiable manifold and α :(−, ) ! M is a dif- ferentiable curve, where α(0) = p 2 M, then the tangent vector to the curve α at t = 0 is a function α0(0) : D ! R, where d(f ◦ α) α0(0)f = j dt t=0 for f 2 D, where D is the set of functions on M that are differentiable at p. -
IMMERSIONS of SURFACES in Spinc -MANIFOLDS with a GENERIC POSITIVE SPINOR
appeared in Annals of Global Analysis and Geometry 26 (2004), 175{199 and 319 IMMERSIONS OF SURFACES IN SPINc -MANIFOLDS WITH A GENERIC POSITIVE SPINOR Andrzej Derdzinski and Tadeusz Januszkiewicz Abstract: We define and discuss totally real and pseudoholo- morphic immersions of real surfaces in a 4-manifold which, instead of an almost complex structure, carries only a \framed spinc-structure," that is, a spinc-structure with a fixed generic section of its positive half-spinor bundle. In particular, we describe all pseudoholomorphic immersions of closed surfaces in the 4-sphere with a standard framed spin structure. Mathematics Subject Classification (2000): primary 53C27, 53C42; secondary 53C15. Key words: spinc-structure, totally real immersion, pseudoholo- morphic immersion 1. Introduction Almost complex structures on real manifolds of dimension 2n are well- known to be, essentially, a special case of spinc-structures. This amounts to a specific Lie-group embedding U(n) Spinc(2n) (see [6, p. 392] and Remark 7.1 below). The present paper! deals with the case n = 2. The relation just mentioned then can also be couched in the homotopy theorists' language: for a compact four-manifold M with a fixed CW-decomposition, a spinc-structure over M is nothing else than an almost complex structure on the 2-skeleton of M, admitting an extension to its 3-skeleton; the ex- tension itself is not a part of the data. (Kirby [5] attributes the italicized comment to Brown.) Our approach is explicitly geometric and proceeds as follows. Given an almost complex structure J on a 4-manifold M, one can always choose a Riemannian metric g compatible with J, thus replacing J by an almost Hermitian structure (J; g) on M. -
1. Complex Vector Bundles and Complex Manifolds Definition 1.1. A
1. Complex Vector bundles and complex manifolds n Definition 1.1. A complex vector bundle is a fiber bundle with fiber C and structure group GL(n; C). Equivalently, it is a real vector bundle E together with a bundle automor- phism J : E −! E satisfying J 2 = −id. (this is because any vector space with a linear map 2 n J satisfying J = −id has an real basis identifying it with C and J with multiplication by i). The map J is called a complex structure on E. An almost complex structure on a manifold M is a complex structure on E. An almost complex manifold is a manifold together with an almost complex structure. n Definition 1.2. A complex manifold is a manifold with charts τi : Ui −! C which are n −1 homeomorphisms onto open subsets of C and chart changing maps τi ◦ τj : τj(Ui \ Uj) −! τi(Ui \ Uj) equal to biholomorphisms. Holomorphic maps between complex manifolds are defined so that their restriction to each chart is holomorphic. Note that a complex manifold is an almost complex manifold. We have a partial converse to this theorem: Theorem 1.3. (Newlander-Nirenberg)(we wont prove this). An almost complex manifold (M; J) is a complex manifold if: [J(v);J(w)] = J([v; Jw]) + J[J(v); w] + [v; w] for all smooth vector fields v; w. Definition 1.4. A holomorphic vector bundle π : E −! B is a complex manifold E together with a complex base B so that the transition data: Φij : Ui \ Uj −! GL(n; C) are holomorphic maps (here GL(n; C) is a complex vector space). -
Manifolds, Tangent Vectors and Covectors
Physics 250 Fall 2015 Notes 1 Manifolds, Tangent Vectors and Covectors 1. Introduction Most of the “spaces” used in physical applications are technically differentiable man- ifolds, and this will be true also for most of the spaces we use in the rest of this course. After a while we will drop the qualifier “differentiable” and it will be understood that all manifolds we refer to are differentiable. We will build up the definition in steps. A differentiable manifold is basically a topological manifold that has “coordinate sys- tems” imposed on it. Recall that a topological manifold is a topological space that is Hausdorff and locally homeomorphic to Rn. The number n is the dimension of the mani- fold. On a topological manifold, we can talk about the continuity of functions, for example, of functions such as f : M → R (a “scalar field”), but we cannot talk about the derivatives of such functions. To talk about derivatives, we need coordinates. 2. Charts and Coordinates Generally speaking it is impossible to cover a manifold with a single coordinate system, so we work in “patches,” technically charts. Given a topological manifold M of dimension m, a chart on M is a pair (U, φ), where U ⊂ M is an open set and φ : U → V ⊂ Rm is a homeomorphism. See Fig. 1. Since φ is a homeomorphism, V is also open (in Rm), and φ−1 : V → U exists. If p ∈ U is a point in the domain of φ, then φ(p) = (x1,...,xm) is the set of coordinates of p with respect to the given chart. -
Chapter 7 Geodesics on Riemannian Manifolds
Chapter 7 Geodesics on Riemannian Manifolds 7.1 Geodesics, Local Existence and Uniqueness If (M,g)isaRiemannianmanifold,thentheconceptof length makes sense for any piecewise smooth (in fact, C1) curve on M. Then, it possible to define the structure of a metric space on M,whered(p, q)isthegreatestlowerboundofthe length of all curves joining p and q. Curves on M which locally yield the shortest distance between two points are of great interest. These curves called geodesics play an important role and the goal of this chapter is to study some of their properties. 489 490 CHAPTER 7. GEODESICS ON RIEMANNIAN MANIFOLDS Given any p M,foreveryv TpM,the(Riemannian) norm of v,denoted∈ v ,isdefinedby∈ " " v = g (v,v). " " p ! The Riemannian inner product, gp(u, v), of two tangent vectors, u, v TpM,willalsobedenotedby u, v p,or simply u, v .∈ # $ # $ Definition 7.1.1 Given any Riemannian manifold, M, a smooth parametric curve (for short, curve)onM is amap,γ: I M,whereI is some open interval of R. For a closed→ interval, [a, b] R,amapγ:[a, b] M is a smooth curve from p =⊆γ(a) to q = γ(b) iff→γ can be extended to a smooth curve γ:(a ", b + ") M, for some ">0. Given any two points,− p, q →M,a ∈ continuous map, γ:[a, b] M,isa" piecewise smooth curve from p to q iff → (1) There is a sequence a = t0 <t1 < <tk 1 <t = b of numbers, t R,sothateachmap,··· − k i ∈ γi = γ ! [ti,ti+1], called a curve segment is a smooth curve, for i =0,...,k 1.