Gromov's Alternative, Contact Shape, and C^ 0-Rigidity of Contact
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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. -
7.2 Binary Operators Closure
last edited April 19, 2016 7.2 Binary Operators A precise discussion of symmetry benefits from the development of what math- ematicians call a group, which is a special kind of set we have not yet explicitly considered. However, before we define a group and explore its properties, we reconsider several familiar sets and some of their most basic features. Over the last several sections, we have considered many di↵erent kinds of sets. We have considered sets of integers (natural numbers, even numbers, odd numbers), sets of rational numbers, sets of vertices, edges, colors, polyhedra and many others. In many of these examples – though certainly not in all of them – we are familiar with rules that tell us how to combine two elements to form another element. For example, if we are dealing with the natural numbers, we might considered the rules of addition, or the rules of multiplication, both of which tell us how to take two elements of N and combine them to give us a (possibly distinct) third element. This motivates the following definition. Definition 26. Given a set S,abinary operator ? is a rule that takes two elements a, b S and manipulates them to give us a third, not necessarily distinct, element2 a?b. Although the term binary operator might be new to us, we are already familiar with many examples. As hinted to earlier, the rule for adding two numbers to give us a third number is a binary operator on the set of integers, or on the set of rational numbers, or on the set of real numbers. -
3. Closed Sets, Closures, and Density
3. Closed sets, closures, and density 1 Motivation Up to this point, all we have done is define what topologies are, define a way of comparing two topologies, define a method for more easily specifying a topology (as a collection of sets generated by a basis), and investigated some simple properties of bases. At this point, we will start introducing some more interesting definitions and phenomena one might encounter in a topological space, starting with the notions of closed sets and closures. Thinking back to some of the motivational concepts from the first lecture, this section will start us on the road to exploring what it means for two sets to be \close" to one another, or what it means for a point to be \close" to a set. We will draw heavily on our intuition about n convergent sequences in R when discussing the basic definitions in this section, and so we begin by recalling that definition from calculus/analysis. 1 n Definition 1.1. A sequence fxngn=1 is said to converge to a point x 2 R if for every > 0 there is a number N 2 N such that xn 2 B(x) for all n > N. 1 Remark 1.2. It is common to refer to the portion of a sequence fxngn=1 after some index 1 N|that is, the sequence fxngn=N+1|as a tail of the sequence. In this language, one would phrase the above definition as \for every > 0 there is a tail of the sequence inside B(x)." n Given what we have established about the topological space Rusual and its standard basis of -balls, we can see that this is equivalent to saying that there is a tail of the sequence inside any open set containing x; this is because the collection of -balls forms a basis for the usual topology, and thus given any open set U containing x there is an such that x 2 B(x) ⊆ U. -
Continuous Closure, Natural Closure, and Axes Closure
CONTINUOUS CLOSURE, AXES CLOSURE, AND NATURAL CLOSURE NEIL EPSTEIN AND MELVIN HOCHSTER Abstract. Let R be a reduced affine C-algebra, with corresponding affine algebraic set X.Let (X)betheringofcontinuous(Euclideantopology)C- C valued functions on X.Brennerdefinedthecontinuous closure Icont of an ideal I as I (X) R.Healsointroducedanalgebraicnotionofaxes closure Iax that C \ always contains Icont,andaskedwhethertheycoincide.Weextendthenotion of axes closure to general Noetherian rings, defining f Iax if its image is in 2 IS for every homomorphism R S,whereS is a one-dimensional complete ! seminormal local ring. We also introduce the natural closure I\ of I.Oneof many characterizations is I\ = I+ f R : n>0withf n In+1 .Weshow { 2 9 2 } that I\ Iax,andthatwhencontinuousclosureisdefined,I\ Icont Iax. ✓ ✓ ✓ Under mild hypotheses on the ring, we show that I\ = Iax when I is primary to a maximal ideal, and that if I has no embedded primes, then I = I\ if and only if I = Iax,sothatIcont agrees as well. We deduce that in the @f polynomial ring [x1,...,xn], if f =0atallpointswhereallofthe are C @xi 0, then f ( @f ,..., @f )R.WecharacterizeIcont for monomial ideals in 2 @x1 @xn polynomial rings over C,butweshowthattheinequalitiesI\ Icont and ✓ Icont Iax can be strict for monomial ideals even in dimension 3. Thus, Icont ax✓ and I need not agree, although we prove they are equal in C[x1,x2]. Contents 1. Introduction 2 2. Properties of continuous closure 4 3. Seminormal rings 8 4. Axes closure and one-dimensional seminormal rings 13 5. Special and inner integral closure, and natural closure 18 6. -
LECTURE 12: LIE GROUPS and THEIR LIE ALGEBRAS 1. Lie
LECTURE 12: LIE GROUPS AND THEIR LIE ALGEBRAS 1. Lie groups Definition 1.1. A Lie group G is a smooth manifold equipped with a group structure so that the group multiplication µ : G × G ! G; (g1; g2) 7! g1 · g2 is a smooth map. Example. Here are some basic examples: • Rn, considered as a group under addition. • R∗ = R − f0g, considered as a group under multiplication. • S1, Considered as a group under multiplication. • Linear Lie groups GL(n; R), SL(n; R), O(n) etc. • If M and N are Lie groups, so is their product M × N. Remarks. (1) (Hilbert's 5th problem, [Gleason and Montgomery-Zippin, 1950's]) Any topological group whose underlying space is a topological manifold is a Lie group. (2) Not every smooth manifold admits a Lie group structure. For example, the only spheres that admit a Lie group structure are S0, S1 and S3; among all the compact 2 dimensional surfaces the only one that admits a Lie group structure is T 2 = S1 × S1. (3) Here are two simple topological constraints for a manifold to be a Lie group: • If G is a Lie group, then TG is a trivial bundle. n { Proof: We identify TeG = R . The vector bundle isomorphism is given by φ : G × TeG ! T G; φ(x; ξ) = (x; dLx(ξ)) • If G is a Lie group, then π1(G) is an abelian group. { Proof: Suppose α1, α2 2 π1(G). Define α : [0; 1] × [0; 1] ! G by α(t1; t2) = α1(t1) · α2(t2). Then along the bottom edge followed by the right edge we have the composition α1 ◦ α2, where ◦ is the product of loops in the fundamental group, while along the left edge followed by the top edge we get α2 ◦ α1. -
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). -
Mixed States from Diffeomorphism Anomalies Arxiv:1109.5290V1
SU-4252-919 IMSc/2011/9/10 Quantum Gravity: Mixed States from Diffeomorphism Anomalies A. P. Balachandran∗ Department of Physics, Syracuse University, Syracuse, NY 13244-1130, USA and International Institute of Physics (IIP-UFRN) Av. Odilon Gomes de Lima 1722, 59078-400 Natal, Brazil Amilcar R. de Queirozy Instituto de Fisica, Universidade de Brasilia, Caixa Postal 04455, 70919-970, Brasilia, DF, Brazil October 30, 2018 Abstract In a previous paper, we discussed simple examples like particle on a circle and molecules to argue that mixed states can arise from anoma- lous symmetries. This idea was applied to the breakdown (anomaly) of color SU(3) in the presence of non-abelian monopoles. Such mixed states create entropy as well. arXiv:1109.5290v1 [hep-th] 24 Sep 2011 In this article, we extend these ideas to the topological geons of Friedman and Sorkin in quantum gravity. The \large diffeos” or map- ping class groups can become anomalous in their quantum theory as we show. One way to eliminate these anomalies is to use mixed states, thereby creating entropy. These ideas may have something to do with black hole entropy as we speculate. ∗[email protected] [email protected] 1 1 Introduction Diffeomorphisms of space-time play the role of gauge transformations in grav- itational theories. Just as gauge invariance is basic in gauge theories, so too is diffeomorphism (diffeo) invariance in gravity theories. Diffeos can become anomalous on quantization of gravity models. If that happens, these models cannot serve as descriptions of quantum gravitating systems. There have been several investigations of diffeo anomalies in models of quantum gravity with matter in the past. -
Area-Preserving Diffeomorphisms of the Torus Whose Rotation Sets Have
Area-preserving diffeomorphisms of the torus whose rotation sets have non-empty interior Salvador Addas-Zanata Instituto de Matem´atica e Estat´ıstica Universidade de S˜ao Paulo Rua do Mat˜ao 1010, Cidade Universit´aria, 05508-090 S˜ao Paulo, SP, Brazil Abstract ǫ In this paper we consider C1+ area-preserving diffeomorphisms of the torus f, either homotopic to the identity or to Dehn twists. We sup- e pose that f has a lift f to the plane such that its rotation set has in- terior and prove, among other things that if zero is an interior point of e e 2 the rotation set, then there exists a hyperbolic f-periodic point Q∈ IR such that W u(Qe) intersects W s(Qe +(a,b)) for all integers (a,b), which u e implies that W (Q) is invariant under integer translations. Moreover, u e s e e u e W (Q) = W (Q) and f restricted to W (Q) is invariant and topologi- u e cally mixing. Each connected component of the complement of W (Q) is a disk with diameter uniformly bounded from above. If f is transitive, u e 2 e then W (Q) =IR and f is topologically mixing in the whole plane. Key words: pseudo-Anosov maps, Pesin theory, periodic disks e-mail: [email protected] 2010 Mathematics Subject Classification: 37E30, 37E45, 37C25, 37C29, 37D25 The author is partially supported by CNPq, grant: 304803/06-5 1 Introduction and main results One of the most well understood chapters of dynamics of surface homeomor- phisms is the case of the torus. -
Right-Angled Artin Groups in the C Diffeomorphism Group of the Real Line
Right-angled Artin groups in the C∞ diffeomorphism group of the real line HYUNGRYUL BAIK, SANG-HYUN KIM, AND THOMAS KOBERDA Abstract. We prove that every right-angled Artin group embeds into the C∞ diffeomorphism group of the real line. As a corollary, we show every limit group, and more generally every countable residually RAAG ∞ group, embeds into the C diffeomorphism group of the real line. 1. Introduction The right-angled Artin group on a finite simplicial graph Γ is the following group presentation: A(Γ) = hV (Γ) | [vi, vj] = 1 if and only if {vi, vj}∈ E(Γ)i. Here, V (Γ) and E(Γ) denote the vertex set and the edge set of Γ, respec- tively. ∞ For a smooth oriented manifold X, we let Diff+ (X) denote the group of orientation preserving C∞ diffeomorphisms on X. A group G is said to embed into another group H if there is an injective group homormophism G → H. Our main result is the following. ∞ R Theorem 1. Every right-angled Artin group embeds into Diff+ ( ). Recall that a finitely generated group G is a limit group (or a fully resid- ually free group) if for each finite set F ⊂ G, there exists a homomorphism φF from G to a nonabelian free group such that φF is an injection when restricted to F . The class of limit groups fits into a larger class of groups, which we call residually RAAG groups. A group G is in this class if for each arXiv:1404.5559v4 [math.GT] 16 Feb 2015 1 6= g ∈ G, there exists a graph Γg and a homomorphism φg : G → A(Γg) such that φg(g) 6= 1. -
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 . -
Differential Topology: Exercise Sheet 3
Prof. Dr. M. Wolf WS 2018/19 M. Heinze Sheet 3 Differential Topology: Exercise Sheet 3 Exercises (for Nov. 21th and 22th) 3.1 Smooth maps Prove the following: (a) A map f : M ! N between smooth manifolds (M; A); (N; B) is smooth if and only if for all x 2 M there are pairs (U; φ) 2 A; (V; ) 2 B such that x 2 U, f(U) ⊂ V and ◦ f ◦ φ−1 : φ(U) ! (V ) is smooth. (b) Compositions of smooth maps between subsets of smooth manifolds are smooth. Solution: (a) As the charts of a smooth structure cover the manifold the above property is certainly necessary for smoothness of f : M ! N. To show that it is also sufficient, consider two arbitrary charts U;~ φ~ 2 A and V;~ ~ 2 B. We need to prove that the map ~ ◦ f ◦ φ~−1 : φ~(U~) ! ~(V~ ) is smooth. Therefore consider an arbitrary y 2 φ~(U~) such that there is some x 2 M such that x = φ~−1(y). By assumption there are charts (U; φ) 2 A; (V; ) 2 B such that x 2 U, −1 f(U) ⊂ V and ◦ f ◦ φ : φ(U) ! (V ) is smooth. Now we choose U0;V0 such ~ ~ that x 2 U0 ⊂ U \ U and f(x) 2 V0 ⊂ V \ V and therefore we can write ~ ~−1 ~ −1 −1 ~−1 ◦ f ◦ φ j = ◦ ◦ ◦ f ◦ φ ◦ φ ◦ φ : (1) φ~(U0) As a composition of smooth maps, we showed that ~ ◦ f ◦ φ~−1j is smooth. As φ~(U0) x 2 M was chosen arbitrarily we proved that ~ ◦ f ◦ φ~−1 is a smooth map. -
2006-2007 Graduate Studies in Mathematics Handbook
2006-2007 GRADUATE STUDIES IN MATHEMATICS HANDBOOK TABLE OF CONTENTS 1. INTRODUCTION .................................................................................................................... 1 2. DEPARTMENT OF MATHEMATICS ................................................................................. 2 3. THE GRADUATE PROGRAM.............................................................................................. 5 4. GRADUATE COURSES ......................................................................................................... 8 5. RESEARCH ACTIVITIES ................................................................................................... 24 6. ADMISSION REQUIREMENTS AND APPLICATION PROCEDURES ...................... 25 7. FEES AND FINANCIAL ASSISTANCE............................................................................. 25 8. OTHER INFORMATION..................................................................................................... 27 APPENDIX A: COMPREHENSIVE EXAMINATION SYLLABI ............................................ 31 APPENDIX B: APPLIED MATHEMATICS COMPREHENSIVE EXAMINATION SYLLABI ............................................................................................................................................................. 33 APPENDIX C: PH.D. DEGREES CONFERRED FROM 1994-2006........................................ 35 APPENDIX D: THE FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES........................................................................................................................................