Real Projective Structures on Riemann Surfaces Compositio Mathematica, Tome 48, No 2 (1983), P
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Differentiable Manifolds
Prof. A. Cattaneo Institut f¨urMathematik FS 2018 Universit¨atZ¨urich Differentiable Manifolds Solutions to Exercise Sheet 1 p Exercise 1 (A non-differentiable manifold). Consider R with the atlas f(R; id); (R; x 7! sgn(x) x)g. Show R with this atlas is a topological manifold but not a differentiable manifold. p Solution: This follows from the fact that the transition function x 7! sgn(x) x is a homeomor- phism but not differentiable at 0. Exercise 2 (Stereographic projection). Let f : Sn − f(0; :::; 0; 1)g ! Rn be the stereographic projection from N = (0; :::; 0; 1). More precisely, f sends a point p on Sn different from N to the intersection f(p) of the line Np passing through N and p with the equatorial plane xn+1 = 0, as shown in figure 1. Figure 1: Stereographic projection of S2 (a) Find an explicit formula for the stereographic projection map f. (b) Find an explicit formula for the inverse stereographic projection map f −1 (c) If S = −N, U = Sn − N, V = Sn − S and g : Sn ! Rn is the stereographic projection from S, then show that (U; f) and (V; g) form a C1 atlas of Sn. Solution: We show each point separately. (a) Stereographic projection f : Sn − f(0; :::; 0; 1)g ! Rn is given by 1 f(x1; :::; xn+1) = (x1; :::; xn): 1 − xn+1 (b) The inverse stereographic projection f −1 is given by 1 f −1(y1; :::; yn) = (2y1; :::; 2yn; kyk2 − 1): kyk2 + 1 2 Pn i 2 Here kyk = i=1(y ) . -
Projective Geometry: a Short Introduction
Projective Geometry: A Short Introduction Lecture Notes Edmond Boyer Master MOSIG Introduction to Projective Geometry Contents 1 Introduction 2 1.1 Objective . .2 1.2 Historical Background . .3 1.3 Bibliography . .4 2 Projective Spaces 5 2.1 Definitions . .5 2.2 Properties . .8 2.3 The hyperplane at infinity . 12 3 The projective line 13 3.1 Introduction . 13 3.2 Projective transformation of P1 ................... 14 3.3 The cross-ratio . 14 4 The projective plane 17 4.1 Points and lines . 17 4.2 Line at infinity . 18 4.3 Homographies . 19 4.4 Conics . 20 4.5 Affine transformations . 22 4.6 Euclidean transformations . 22 4.7 Particular transformations . 24 4.8 Transformation hierarchy . 25 Grenoble Universities 1 Master MOSIG Introduction to Projective Geometry Chapter 1 Introduction 1.1 Objective The objective of this course is to give basic notions and intuitions on projective geometry. The interest of projective geometry arises in several visual comput- ing domains, in particular computer vision modelling and computer graphics. It provides a mathematical formalism to describe the geometry of cameras and the associated transformations, hence enabling the design of computational ap- proaches that manipulates 2D projections of 3D objects. In that respect, a fundamental aspect is the fact that objects at infinity can be represented and manipulated with projective geometry and this in contrast to the Euclidean geometry. This allows perspective deformations to be represented as projective transformations. Figure 1.1: Example of perspective deformation or 2D projective transforma- tion. Another argument is that Euclidean geometry is sometimes difficult to use in algorithms, with particular cases arising from non-generic situations (e.g. -
Algebraic Geometry Michael Stoll
Introductory Geometry Course No. 100 351 Fall 2005 Second Part: Algebraic Geometry Michael Stoll Contents 1. What Is Algebraic Geometry? 2 2. Affine Spaces and Algebraic Sets 3 3. Projective Spaces and Algebraic Sets 6 4. Projective Closure and Affine Patches 9 5. Morphisms and Rational Maps 11 6. Curves — Local Properties 14 7. B´ezout’sTheorem 18 2 1. What Is Algebraic Geometry? Linear Algebra can be seen (in parts at least) as the study of systems of linear equations. In geometric terms, this can be interpreted as the study of linear (or affine) subspaces of Cn (say). Algebraic Geometry generalizes this in a natural way be looking at systems of polynomial equations. Their geometric realizations (their solution sets in Cn, say) are called algebraic varieties. Many questions one can study in various parts of mathematics lead in a natural way to (systems of) polynomial equations, to which the methods of Algebraic Geometry can be applied. Algebraic Geometry provides a translation between algebra (solutions of equations) and geometry (points on algebraic varieties). The methods are mostly algebraic, but the geometry provides the intuition. Compared to Differential Geometry, in Algebraic Geometry we consider a rather restricted class of “manifolds” — those given by polynomial equations (we can allow “singularities”, however). For example, y = cos x defines a perfectly nice differentiable curve in the plane, but not an algebraic curve. In return, we can get stronger results, for example a criterion for the existence of solutions (in the complex numbers), or statements on the number of solutions (for example when intersecting two curves), or classification results. -
Arxiv:1910.11630V1 [Math.AG] 25 Oct 2019 3 Geometric Invariant Theory 10 3.1 Quotients and the Notion of Stability
Geometric Invariant Theory, holomorphic vector bundles and the Harder–Narasimhan filtration Alfonso Zamora Departamento de Matem´aticaAplicada y Estad´ıstica Universidad CEU San Pablo Juli´anRomea 23, 28003 Madrid, Spain e-mail: [email protected] Ronald A. Z´u˜niga-Rojas Centro de Investigaciones Matem´aticasy Metamatem´aticas CIMM Escuela de Matem´atica,Universidad de Costa Rica UCR San Jos´e11501, Costa Rica e-mail: [email protected] Abstract. This survey intends to present the basic notions of Geometric Invariant Theory (GIT) through its paradigmatic application in the construction of the moduli space of holomorphic vector bundles. Special attention is paid to the notion of stability from different points of view and to the concept of maximal unstability, represented by the Harder-Narasimhan filtration and, from which, correspondences with the GIT picture and results derived from stratifications on the moduli space are discussed. Keywords: Geometric Invariant Theory, Harder-Narasimhan filtration, moduli spaces, vector bundles, Higgs bundles, GIT stability, symplectic stability, stratifications. MSC class: 14D07, 14D20, 14H10, 14H60, 53D30 Contents 1 Introduction 2 2 Preliminaries 4 2.1 Lie groups . .4 2.2 Lie algebras . .6 2.3 Algebraic varieties . .7 2.4 Vector bundles . .8 arXiv:1910.11630v1 [math.AG] 25 Oct 2019 3 Geometric Invariant Theory 10 3.1 Quotients and the notion of stability . 10 3.2 Hilbert-Mumford criterion . 14 3.3 Symplectic stability . 18 3.4 Examples . 21 3.5 Maximal unstability . 24 2 git, hvb & hnf 4 Moduli Space of vector bundles 28 4.1 GIT construction of the moduli space . 28 4.2 Harder-Narasimhan filtration . -
Vector Bundles and Projective Modules
VECTOR BUNDLES AND PROJECTIVE MODULES BY RICHARD G. SWAN(i) Serre [9, §50] has shown that there is a one-to-one correspondence between algebraic vector bundles over an affine variety and finitely generated projective mo- dules over its coordinate ring. For some time, it has been assumed that a similar correspondence exists between topological vector bundles over a compact Haus- dorff space X and finitely generated projective modules over the ring of con- tinuous real-valued functions on X. A number of examples of projective modules have been given using this correspondence. However, no rigorous treatment of the correspondence seems to have been given. I will give such a treatment here and then give some of the examples which may be constructed in this way. 1. Preliminaries. Let K denote either the real numbers, complex numbers or quaternions. A X-vector bundle £ over a topological space X consists of a space F(£) (the total space), a continuous map p : E(Ç) -+ X (the projection) which is onto, and, on each fiber Fx(¡z)= p-1(x), the structure of a finite di- mensional vector space over K. These objects are required to satisfy the follow- ing condition: for each xeX, there is a neighborhood U of x, an integer n, and a homeomorphism <p:p-1(U)-> U x K" such that on each fiber <b is a X-homo- morphism. The fibers u x Kn of U x K" are X-vector spaces in the obvious way. Note that I do not require n to be a constant. -
Classical Algebraic Geometry
CLASSICAL ALGEBRAIC GEOMETRY Daniel Plaumann Universität Konstanz Summer A brief inaccurate history of algebraic geometry - Projective geometry. Emergence of ’analytic’geometry with cartesian coordinates, as opposed to ’synthetic’(axiomatic) geometry in the style of Euclid. (Celebrities: Plücker, Hesse, Cayley) - Complex analytic geometry. Powerful new tools for the study of geo- metric problems over C.(Celebrities: Abel, Jacobi, Riemann) - Classical school. Perfected the use of existing tools without any ’dog- matic’approach. (Celebrities: Castelnuovo, Segre, Severi, M. Noether) - Algebraization. Development of modern algebraic foundations (’com- mutative ring theory’) for algebraic geometry. (Celebrities: Hilbert, E. Noether, Zariski) from Modern algebraic geometry. All-encompassing abstract frameworks (schemes, stacks), greatly widening the scope of algebraic geometry. (Celebrities: Weil, Serre, Grothendieck, Deligne, Mumford) from Computational algebraic geometry Symbolic computation and dis- crete methods, many new applications. (Celebrities: Buchberger) Literature Primary source [Ha] J. Harris, Algebraic Geometry: A first course. Springer GTM () Classical algebraic geometry [BCGB] M. C. Beltrametti, E. Carletti, D. Gallarati, G. Monti Bragadin. Lectures on Curves, Sur- faces and Projective Varieties. A classical view of algebraic geometry. EMS Textbooks (translated from Italian) () [Do] I. Dolgachev. Classical Algebraic Geometry. A modern view. Cambridge UP () Algorithmic algebraic geometry [CLO] D. Cox, J. Little, D. -
Projective Geometry Lecture Notes
Projective Geometry Lecture Notes Thomas Baird March 26, 2014 Contents 1 Introduction 2 2 Vector Spaces and Projective Spaces 4 2.1 Vector spaces and their duals . 4 2.1.1 Fields . 4 2.1.2 Vector spaces and subspaces . 5 2.1.3 Matrices . 7 2.1.4 Dual vector spaces . 7 2.2 Projective spaces and homogeneous coordinates . 8 2.2.1 Visualizing projective space . 8 2.2.2 Homogeneous coordinates . 13 2.3 Linear subspaces . 13 2.3.1 Two points determine a line . 14 2.3.2 Two planar lines intersect at a point . 14 2.4 Projective transformations and the Erlangen Program . 15 2.4.1 Erlangen Program . 16 2.4.2 Projective versus linear . 17 2.4.3 Examples of projective transformations . 18 2.4.4 Direct sums . 19 2.4.5 General position . 20 2.4.6 The Cross-Ratio . 22 2.5 Classical Theorems . 23 2.5.1 Desargues' Theorem . 23 2.5.2 Pappus' Theorem . 24 2.6 Duality . 26 3 Quadrics and Conics 28 3.1 Affine algebraic sets . 28 3.2 Projective algebraic sets . 30 3.3 Bilinear and quadratic forms . 31 3.3.1 Quadratic forms . 33 3.3.2 Change of basis . 33 1 3.3.3 Digression on the Hessian . 36 3.4 Quadrics and conics . 37 3.5 Parametrization of the conic . 40 3.5.1 Rational parametrization of the circle . 42 3.6 Polars . 44 3.7 Linear subspaces of quadrics and ruled surfaces . 46 3.8 Pencils of quadrics and degeneration . 47 4 Exterior Algebras 52 4.1 Multilinear algebra . -
Chapter 12 the Cross Ratio
Chapter 12 The cross ratio Math 4520, Fall 2017 We have studied the collineations of a projective plane, the automorphisms of the underlying field, the linear functions of Affine geometry, etc. We have been led to these ideas by various problems at hand, but let us step back and take a look at one important point of view of the big picture. 12.1 Klein's Erlanger program In 1872, Felix Klein, one of the leading mathematicians and geometers of his day, in the city of Erlanger, took the following point of view as to what the role of geometry was in mathematics. This is from his \Recent trends in geometric research." Let there be given a manifold and in it a group of transforma- tions; it is our task to investigate those properties of a figure belonging to the manifold that are not changed by the transfor- mation of the group. So our purpose is clear. Choose the group of transformations that you are interested in, and then hunt for the \invariants" that are relevant. This search for invariants has proved very fruitful and useful since the time of Klein for many areas of mathematics, not just classical geometry. In some case the invariants have turned out to be simple polynomials or rational functions, such as the case with the cross ratio. In other cases the invariants were groups themselves, such as homology groups in the case of algebraic topology. 12.2 The projective line In Chapter 11 we saw that the collineations of a projective plane come in two \species," projectivities and field automorphisms. -
Example Sheet 1
Part III 2015-16: Differential geometry [email protected] Example Sheet 1 3 1 1. (i) Do the charts '1(x) = x and '2(x) = x (x 2 R) belong to the same C differentiable structure on R? (ii) Let Rj, j = 1; 2, be the manifold defined by using the chart 'j on the topo- logical space R. Are R1 and R2 diffeomorphic? 2. Let X be the metric space defined as follows: Let P1;:::;PN be distinct points in the Euclidean plane with its standard metric d, and define a distance function (not a ∗ 2 ∗ metric for N > 1) ρ on R by ρ (P; Q) = minfd(P; Q); mini;j(d(P; Pi) + d(Pj;Q))g: 2 Let X denote the quotient of R obtained by identifying the N points Pi to a single point P¯ on X. Show that ρ∗ induces a metric on X (the London Underground metric). Show that, for N > 1, the space X cannot be given the structure of a topological manifold. 3. (i) Prove that the product of smooth manifolds has the structure of a smooth manifold. (ii) Prove that n-dimensional real projective space RP n = Sn={±1g has the struc- ture of a smooth manifold of dimension n. (iii) Prove that complex projective space CP n := (Cn+1 nf0g)=C∗ has the structure of a smooth manifold of dimension 2n. 4. (i) Prove that the complex projective line CP 1 is diffeomorphic to the sphere S2. (ii) Show that the natural map (C2 n f0g) ! CP 1 induces a smooth map of manifolds S3 ! S2, the Poincar´emap. -
2 Lie Groups
2 Lie Groups Contents 2.1 Algebraic Properties 25 2.2 Topological Properties 27 2.3 Unification of Algebra and Topology 29 2.4 Unexpected Simplification 31 2.5 Conclusion 31 2.6 Problems 32 Lie groups are beautiful, important, and useful because they have one foot in each of the two great divisions of mathematics — algebra and geometry. Their algebraic properties derive from the group axioms. Their geometric properties derive from the identification of group operations with points in a topological space. The rigidity of their structure comes from the continuity requirements of the group composition and inversion maps. In this chapter we present the axioms that define a Lie group. 2.1 Algebraic Properties The algebraic properties of a Lie group originate in the axioms for a group. Definition: A set gi,gj,gk,... (called group elements or group oper- ations) together with a combinatorial operation (called group multi- ◦ plication) form a group G if the following axioms are satisfied: (i) Closure: If g G, g G, then g g G. i ∈ j ∈ i ◦ j ∈ (ii) Associativity: g G, g G, g G, then i ∈ j ∈ k ∈ (g g ) g = g (g g ) i ◦ j ◦ k i ◦ j ◦ k 25 26 Lie Groups (iii) Identity: There is an operator e (the identity operation) with the property that for every group operation g G i ∈ g e = g = e g i ◦ i ◦ i −1 (iv) Inverse: Every group operation gi has an inverse (called gi ) with the property g g−1 = e = g−1 g i ◦ i i ◦ i Example: We consider the set of real 2 2 matrices SL(2; R): × α β A = det(A)= αδ βγ = +1 (2.1) γ δ − where α,β,γ,δ are real numbers. -
The Chabauty Space of Closed Subgroups of the Three-Dimensional
THE CHABAUTY SPACE OF CLOSED SUBGROUPS OF THE THREE-DIMENSIONAL HEISENBERG GROUP Martin R. Bridson, Pierre de la Harpe, and Victor Kleptsyn Abstract. When equipped with the natural topology first defined by Chabauty, the closed subgroups of a locally compact group G form a compact space C(G). We analyse the structure of C(G) for some low-dimensional Lie groups, concentrating mostly on the 3-dimensional Heisenberg group H. We prove that C(H) is a 6-dimensional space that is path–connected but not locally connected. The lattices in H form a dense open subset L(H) ⊂C(H) that is the disjoint union of an infinite sequence of pairwise–homeomorphic aspherical manifolds of dimension six, each a torus bundle over (S3 r T ) × R, where T denotes a trefoil knot. The complement of L(H) in C(H) is also described explicitly. The subspace of C(H) consisting of subgroups that contain the centre Z(H) is homeomorphic to the 4–sphere, and we prove that this is a weak retract of C(H). 1. Introduction Let G be a locally compact topological group. We denote by (G) the space of closed subgroups of G equipped with the Chabauty topology; this is a compactC space. A basis of neighbourhoods for a closed subgroup C (G) is formed by the subsets ∈ C (1.1) (C) = D (G) D K CU and C K DU , VK,U { ∈ C | ∩ ⊂ ∩ ⊂ } where K G is compact and U is an open neighbourhood of the identity e G. We will consider the⊆ induced topology on various subspaces of (G) including the space∈ of lattices C arXiv:0711.3736v2 [math.GR] 18 Nov 2008 (G), the larger space of discrete subgroups (G), the space of abelian closed subgroups L(G), and the space of normal closed subgroupsD (G). -
Vector Bundles and Projective Varieties
VECTOR BUNDLES AND PROJECTIVE VARIETIES by NICHOLAS MARINO Submitted in partial fulfillment of the requirements for the degree of Master of Science Department of Mathematics, Applied Mathematics, and Statistics CASE WESTERN RESERVE UNIVERSITY January 2019 CASE WESTERN RESERVE UNIVERSITY Department of Mathematics, Applied Mathematics, and Statistics We hereby approve the thesis of Nicholas Marino Candidate for the degree of Master of Science Committee Chair Nick Gurski Committee Member David Singer Committee Member Joel Langer Date of Defense: 10 December, 2018 1 Contents Abstract 3 1 Introduction 4 2 Basic Constructions 5 2.1 Elementary Definitions . 5 2.2 Line Bundles . 8 2.3 Divisors . 12 2.4 Differentials . 13 2.5 Chern Classes . 14 3 Moduli Spaces 17 3.1 Some Classifications . 17 3.2 Stable and Semi-stable Sheaves . 19 3.3 Representability . 21 4 Vector Bundles on Pn 26 4.1 Cohomological Tools . 26 4.2 Splitting on Higher Projective Spaces . 27 4.3 Stability . 36 5 Low-Dimensional Results 37 5.1 2-bundles and Surfaces . 37 5.2 Serre's Construction and Hartshorne's Conjecture . 39 5.3 The Horrocks-Mumford Bundle . 42 6 Ulrich Bundles 44 7 Conclusion 48 8 References 50 2 Vector Bundles and Projective Varieties Abstract by NICHOLAS MARINO Vector bundles play a prominent role in the study of projective algebraic varieties. Vector bundles can describe facets of the intrinsic geometry of a variety, as well as its relationship to other varieties, especially projective spaces. Here we outline the general theory of vector bundles and describe their classification and structure. We also consider some special bundles and general results in low dimensions, especially rank 2 bundles and surfaces, as well as bundles on projective spaces.