Papers on Topology Analysis Situs and Its Five Supplements
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Betti Numbers of Finite Volume Orbifolds 10
BETTI NUMBERS OF FINITE VOLUME ORBIFOLDS IDDO SAMET Abstract. We prove that the Betti numbers of a negatively curved orbifold are linearly bounded by its volume, generalizing a theorem of Gromov which establishes this bound for manifolds. An imme- diate corollary is that Betti numbers of a lattice in a rank-one Lie group are linearly bounded by its co-volume. 1. Introduction Let X be a Hadamard manifold, i.e. a connected, simply-connected, complete Riemannian manifold of non-positive curvature normalized such that −1 ≤ K ≤ 0. Let Γ be a discrete subgroup of Isom(X). If Γ is torsion-free then X=Γ is a Riemannian manifold. If Γ has torsion elements, then X=Γ has a structure of an orbifold. In both cases, the Riemannian structure defines the volume of X=Γ. An important special case is that of symmetric spaces X = KnG, where G is a connected semisimple Lie group without center and with no compact factors, and K is a maximal compact subgroup. Then X is non-positively curved, and G is the connected component of Isom(X). In this case, X=Γ has finite volume iff Γ is a lattice in G. The curvature of X is non-positive if rank(G) ≥ 2, and is negative if rank(G) = 1. In many cases, the volume of negatively curved manifold controls the complexity of its topology. A manifestation of this phenomenon is the celebrated theorem of Gromov [3, 10] stating that if X has sectional curvature −1 ≤ K < 0 then Xn (1) bi(X=Γ) ≤ Cn · vol(X=Γ); i=0 where bi are Betti numbers w.r.t. -
Basic Properties of Filter Convergence Spaces
Basic Properties of Filter Convergence Spaces Barbel¨ M. R. Stadlery, Peter F. Stadlery;z;∗ yInstitut fur¨ Theoretische Chemie, Universit¨at Wien, W¨ahringerstraße 17, A-1090 Wien, Austria zThe Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA ∗Address for corresponce Abstract. This technical report summarized facts from the basic theory of filter convergence spaces and gives detailed proofs for them. Many of the results collected here are well known for various types of spaces. We have made no attempt to find the original proofs. 1. Introduction Mathematical notions such as convergence, continuity, and separation are, at textbook level, usually associated with topological spaces. It is possible, however, to introduce them in a much more abstract way, based on axioms for convergence instead of neighborhood. This approach was explored in seminal work by Choquet [4], Hausdorff [12], Katˇetov [14], Kent [16], and others. Here we give a brief introduction to this line of reasoning. While the material is well known to specialists it does not seem to be easily accessible to non-topologists. In some cases we include proofs of elementary facts for two reasons: (i) The most basic facts are quoted without proofs in research papers, and (ii) the proofs may serve as examples to see the rather abstract formalism at work. 2. Sets and Filters Let X be a set, P(X) its power set, and H ⊆ P(X). The we define H∗ = fA ⊆ Xj(X n A) 2= Hg (1) H# = fA ⊆ Xj8Q 2 H : A \ Q =6 ;g The set systems H∗ and H# are called the conjugate and the grill of H, respectively. -
Cusp and B1 Growth for Ball Quotients and Maps Onto Z with Finitely
Cusp and b1 growth for ball quotients and maps onto Z with finitely generated kernel Matthew Stover∗ Temple University [email protected] August 8, 2018 Abstract 2 Let M = B =Γ be a smooth ball quotient of finite volume with first betti number b1(M) and let E(M) ≥ 0 be the number of cusps (i.e., topological ends) of M. We study the growth rates that are possible in towers of finite-sheeted coverings of M. In particular, b1 and E have little to do with one another, in contrast with the well-understood cases of hyperbolic 2- and 3-manifolds. We also discuss growth of b1 for congruence 2 3 arithmetic lattices acting on B and B . Along the way, we provide an explicit example of a lattice in PU(2; 1) admitting a homomorphism onto Z with finitely generated kernel. Moreover, we show that any cocompact arithmetic lattice Γ ⊂ PU(n; 1) of simplest type contains a finite index subgroup with this property. 1 Introduction Let Bn be the unit ball in Cn with its Bergman metric and Γ be a torsion-free group of isometries acting discretely with finite covolume. Then M = Bn=Γ is a manifold with a finite number E(M) ≥ 0 of cusps. Let b1(M) = dim H1(M; Q) be the first betti number of M. One purpose of this paper is to describe possible behavior of E and b1 in towers of finite-sheeted coverings. Our examples are closely related to the ball quotients constructed by Hirzebruch [25] and Deligne{ Mostow [17, 38]. -
Topology and Data
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 46, Number 2, April 2009, Pages 255–308 S 0273-0979(09)01249-X Article electronically published on January 29, 2009 TOPOLOGY AND DATA GUNNAR CARLSSON 1. Introduction An important feature of modern science and engineering is that data of various kinds is being produced at an unprecedented rate. This is so in part because of new experimental methods, and in part because of the increase in the availability of high powered computing technology. It is also clear that the nature of the data we are obtaining is significantly different. For example, it is now often the case that we are given data in the form of very long vectors, where all but a few of the coordinates turn out to be irrelevant to the questions of interest, and further that we don’t necessarily know which coordinates are the interesting ones. A related fact is that the data is often very high-dimensional, which severely restricts our ability to visualize it. The data obtained is also often much noisier than in the past and has more missing information (missing data). This is particularly so in the case of biological data, particularly high throughput data from microarray or other sources. Our ability to analyze this data, both in terms of quantity and the nature of the data, is clearly not keeping pace with the data being produced. In this paper, we will discuss how geometry and topology can be applied to make useful contributions to the analysis of various kinds of data. -
On the Betti Numbers of Real Varieties
ON THE BETTI NUMBERS OF REAL VARIETIES J. MILNOR The object of this note will be to give an upper bound for the sum of the Betti numbers of a real affine algebraic variety. (Added in proof. Similar results have been obtained by R. Thom [lO].) Let F be a variety in the real Cartesian space Rm, defined by poly- nomial equations /i(xi, ■ ■ ■ , xm) = 0, ■ • • , fP(xx, ■ ■ ■ , xm) = 0. The qth Betti number of V will mean the rank of the Cech cohomology group Hq(V), using coefficients in some fixed field F. Theorem 2. If each polynomial f, has degree S k, then the sum of the Betti numbers of V is ^k(2k —l)m-1. Analogous statements for complex and/or projective varieties will be given at the end. I wish to thank W. May for suggesting this problem to me. Remark A. This is certainly not a best possible estimate. (Compare Remark B.) In the examples which I know, the sum of the Betti numbers of V is always 5=km. Consider for example the m polynomials fi(xx, ■ ■ ■ , xm) = (xi - l)(xi - 2) • • • (xi - k), where i=l, 2, • ■ • , m. These define a zero-dimensional variety, con- sisting of precisely km points. The proofs of Theorem 2 and of Theorem 1 (which will be stated later) depend on the following. Lemma 1. Let V~oERm be a zero-dimensional variety defined by poly- nomial equations fx = 0, ■ • • , fm = 0. Suppose that the gradient vectors dfx, • • • , dfm are linearly independent at each point of Vo- Then the number of points in V0 is at most equal to the product (deg fi) (deg f2) ■ ■ ■ (deg/m). -
Topological Data Analysis of Biological Aggregation Models
TOPOLOGICAL DATA ANALYSIS BARCODES Ghrist , Barcodes: The persistent topology of data Topaz, Ziegelmeier, and Halverson 2015: Topological Data Analysis of Biological Aggregation Models 1 Questions in data analysis: • How to infer high dimensional structure from low dimensional representations? • How to assemble discrete points into global structures? 2 Themes in topological data analysis1 : 1. Replace a set of data points with a family of simplicial complexes, indexed by a proximity parameter. 2. View these topological complexes using the novel theory of persistent homology. 3. Encode the persistent homology of a data set as a parameterized version of a Betti number (a barcode). 1Work of Carlsson, de Silva, Edelsbrunner, Harer, Zomorodian 3 CLOUDS OF DATA Point cloud data coming from physical objects in 3-d 4 CLOUDS TO COMPLEXES Cech Rips complex complex 5 CHOICE OF PARAMETER ✏ ? USE PERSISTENT HOMOLOGY APPLICATION (TOPAZ ET AL.): BIOLOGICAL AGGREGATION MODELS Use two math models of biological aggregation (bird flocks, fish schools, etc.): Vicsek et al., D’Orsogna et al. Generate point clouds in position-velocity space at different times. Analyze the topological structure of these point clouds by calculating the first few Betti numbers. Visualize of Betti numbers using contours plots. Compare results to other measures/parameters used to quantify global behavior of aggregations. TDA AND PERSISTENT HOMOLOGY FORMING A SIMPLICIAL COMPLEX k-simplices • 1-simplex (edge): 2 points are within ✏ of each other. • 2-simplex (triangle): 3 points are pairwise within ✏ from each other EXAMPLE OF A VIETORIS-RIPS COMPLEX HOMOLOGY BOUNDARIES For k 0, create an abstract vector space C with basis consisting of the ≥ k set of k-simplices in S✏. -
Topologically Constrained Segmentation with Topological Maps Alexandre Dupas, Guillaume Damiand
Topologically Constrained Segmentation with Topological Maps Alexandre Dupas, Guillaume Damiand To cite this version: Alexandre Dupas, Guillaume Damiand. Topologically Constrained Segmentation with Topological Maps. Workshop on Computational Topology in Image Context, Jun 2008, Poitiers, France. hal- 01517182 HAL Id: hal-01517182 https://hal.archives-ouvertes.fr/hal-01517182 Submitted on 2 May 2017 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. Topologically Constrained Segmentation with Topological Maps Alexandre Dupas1 and Guillaume Damiand2 1 XLIM-SIC, Universit´ede Poitiers, UMR CNRS 6172, Bˆatiment SP2MI, F-86962 Futuroscope Chasseneuil, France [email protected] 2 LaBRI, Universit´ede Bordeaux 1, UMR CNRS 5800, F-33405 Talence, France [email protected] Abstract This paper presents incremental algorithms used to compute Betti numbers with topological maps. Their implementation, as topological criterion for an existing bottom-up segmentation, is explained and results on artificial images are shown to illustrate the process. Keywords: Topological map, Topological constraint, Betti numbers, Segmentation. 1 Introduction In the image processing context, image segmentation is one of the main steps. Currently, most segmentation algorithms take into account color and texture of regions. Some of them also in- troduce geometrical criteria, like taking the shape of the object into account, to achieve a good segmentation. -
A TEXTBOOK of TOPOLOGY Lltld
SEIFERT AND THRELFALL: A TEXTBOOK OF TOPOLOGY lltld SEI FER T: 7'0PO 1.OG 1' 0 I.' 3- Dl M E N SI 0 N A I. FIRERED SPACES This is a volume in PURE AND APPLIED MATHEMATICS A Series of Monographs and Textbooks Editors: SAMUELEILENBERG AND HYMANBASS A list of recent titles in this series appears at the end of this volunie. SEIFERT AND THRELFALL: A TEXTBOOK OF TOPOLOGY H. SEIFERT and W. THRELFALL Translated by Michael A. Goldman und S E I FE R T: TOPOLOGY OF 3-DIMENSIONAL FIBERED SPACES H. SEIFERT Translated by Wolfgang Heil Edited by Joan S. Birman and Julian Eisner @ 1980 ACADEMIC PRESS A Subsidiary of Harcourr Brace Jovanovich, Publishers NEW YORK LONDON TORONTO SYDNEY SAN FRANCISCO COPYRIGHT@ 1980, BY ACADEMICPRESS, INC. ALL RIGHTS RESERVED. NO PART OF THIS PUBLICATION MAY BE REPRODUCED OR TRANSMITTED IN ANY FORM OR BY ANY MEANS, ELECTRONIC OR MECHANICAL, INCLUDING PHOTOCOPY, RECORDING, OR ANY INFORMATION STORAGE AND RETRIEVAL SYSTEM, WITHOUT PERMISSION IN WRITING FROM THE PUBLISHER. ACADEMIC PRESS, INC. 11 1 Fifth Avenue, New York. New York 10003 United Kingdom Edition published by ACADEMIC PRESS, INC. (LONDON) LTD. 24/28 Oval Road, London NWI 7DX Mit Genehmigung des Verlager B. G. Teubner, Stuttgart, veranstaltete, akin autorisierte englische Ubersetzung, der deutschen Originalausgdbe. Library of Congress Cataloging in Publication Data Seifert, Herbert, 1897- Seifert and Threlfall: A textbook of topology. Seifert: Topology of 3-dimensional fibered spaces. (Pure and applied mathematics, a series of mono- graphs and textbooks ; ) Translation of Lehrbuch der Topologic. Bibliography: p. Includes index. 1. -
General Topology
General Topology Tom Leinster 2014{15 Contents A Topological spaces2 A1 Review of metric spaces.......................2 A2 The definition of topological space.................8 A3 Metrics versus topologies....................... 13 A4 Continuous maps........................... 17 A5 When are two spaces homeomorphic?................ 22 A6 Topological properties........................ 26 A7 Bases................................. 28 A8 Closure and interior......................... 31 A9 Subspaces (new spaces from old, 1)................. 35 A10 Products (new spaces from old, 2)................. 39 A11 Quotients (new spaces from old, 3)................. 43 A12 Review of ChapterA......................... 48 B Compactness 51 B1 The definition of compactness.................... 51 B2 Closed bounded intervals are compact............... 55 B3 Compactness and subspaces..................... 56 B4 Compactness and products..................... 58 B5 The compact subsets of Rn ..................... 59 B6 Compactness and quotients (and images)............. 61 B7 Compact metric spaces........................ 64 C Connectedness 68 C1 The definition of connectedness................... 68 C2 Connected subsets of the real line.................. 72 C3 Path-connectedness.......................... 76 C4 Connected-components and path-components........... 80 1 Chapter A Topological spaces A1 Review of metric spaces For the lecture of Thursday, 18 September 2014 Almost everything in this section should have been covered in Honours Analysis, with the possible exception of some of the examples. For that reason, this lecture is longer than usual. Definition A1.1 Let X be a set. A metric on X is a function d: X × X ! [0; 1) with the following three properties: • d(x; y) = 0 () x = y, for x; y 2 X; • d(x; y) + d(y; z) ≥ d(x; z) for all x; y; z 2 X (triangle inequality); • d(x; y) = d(y; x) for all x; y 2 X (symmetry). -
DEFINITIONS and THEOREMS in GENERAL TOPOLOGY 1. Basic
DEFINITIONS AND THEOREMS IN GENERAL TOPOLOGY 1. Basic definitions. A topology on a set X is defined by a family O of subsets of X, the open sets of the topology, satisfying the axioms: (i) ; and X are in O; (ii) the intersection of finitely many sets in O is in O; (iii) arbitrary unions of sets in O are in O. Alternatively, a topology may be defined by the neighborhoods U(p) of an arbitrary point p 2 X, where p 2 U(p) and, in addition: (i) If U1;U2 are neighborhoods of p, there exists U3 neighborhood of p, such that U3 ⊂ U1 \ U2; (ii) If U is a neighborhood of p and q 2 U, there exists a neighborhood V of q so that V ⊂ U. A topology is Hausdorff if any distinct points p 6= q admit disjoint neigh- borhoods. This is almost always assumed. A set C ⊂ X is closed if its complement is open. The closure A¯ of a set A ⊂ X is the intersection of all closed sets containing X. A subset A ⊂ X is dense in X if A¯ = X. A point x 2 X is a cluster point of a subset A ⊂ X if any neighborhood of x contains a point of A distinct from x. If A0 denotes the set of cluster points, then A¯ = A [ A0: A map f : X ! Y of topological spaces is continuous at p 2 X if for any open neighborhood V ⊂ Y of f(p), there exists an open neighborhood U ⊂ X of p so that f(U) ⊂ V . -
Combinatorial Topology
Chapter 6 Basics of Combinatorial Topology 6.1 Simplicial and Polyhedral Complexes In order to study and manipulate complex shapes it is convenient to discretize these shapes and to view them as the union of simple building blocks glued together in a “clean fashion”. The building blocks should be simple geometric objects, for example, points, lines segments, triangles, tehrahedra and more generally simplices, or even convex polytopes. We will begin by using simplices as building blocks. The material presented in this chapter consists of the most basic notions of combinatorial topology, going back roughly to the 1900-1930 period and it is covered in nearly every algebraic topology book (certainly the “classics”). A classic text (slightly old fashion especially for the notation and terminology) is Alexandrov [1], Volume 1 and another more “modern” source is Munkres [30]. An excellent treatment from the point of view of computational geometry can be found is Boissonnat and Yvinec [8], especially Chapters 7 and 10. Another fascinating book covering a lot of the basics but devoted mostly to three-dimensional topology and geometry is Thurston [41]. Recall that a simplex is just the convex hull of a finite number of affinely independent points. We also need to define faces, the boundary, and the interior of a simplex. Definition 6.1 Let be any normed affine space, say = Em with its usual Euclidean norm. Given any n+1E affinely independentpoints a ,...,aE in , the n-simplex (or simplex) 0 n E σ defined by a0,...,an is the convex hull of the points a0,...,an,thatis,thesetofallconvex combinations λ a + + λ a ,whereλ + + λ =1andλ 0foralli,0 i n. -
Betti Number Bounds, Applications and Algorithms
Combinatorial and Computational Geometry MSRI Publications Volume 52, 2005 Betti Number Bounds, Applications and Algorithms SAUGATA BASU, RICHARD POLLACK, AND MARIE-FRANC¸OISE ROY Abstract. Topological complexity of semialgebraic sets in Rk has been studied by many researchers over the past fifty years. An important mea- sure of the topological complexity are the Betti numbers. Quantitative bounds on the Betti numbers of a semialgebraic set in terms of various pa- rameters (such as the number and the degrees of the polynomials defining it, the dimension of the set etc.) have proved useful in several applications in theoretical computer science and discrete geometry. The main goal of this survey paper is to provide an up to date account of the known bounds on the Betti numbers of semialgebraic sets in terms of various parameters, sketch briefly some of the applications, and also survey what is known about the complexity of algorithms for computing them. 1. Introduction Let R be a real closed field and S a semialgebraic subset of Rk, defined by a Boolean formula, whose atoms are of the form P = 0, P > 0, P < 0, where P ∈ P for some finite family of polynomials P ⊂ R[X1,...,Xk]. It is well known [Bochnak et al. 1987] that such sets are finitely triangulable. Moreover, if the cardinality of P and the degrees of the polynomials in P are bounded, then the number of topological types possible for S is finite [Bochnak et al. 1987]. (Here, two sets have the same topological type if they are semialgebraically homeomorphic). A natural problem then is to bound the topological complexity of S in terms of the various parameters of the formula defining S.