Homomorphisms and Oriented Colorings of Equivalence Classes Oforiented Graphs
Total Page:16
File Type:pdf, Size:1020Kb
Load more
										Recommended publications
									
								- 
												  Math 296. Homework 3 (Due Jan 28) 1Math 296. Homework 3 (due Jan 28) 1. Equivalence Classes. Let R be an equivalence relation on a set X. For each x ∈ X, consider the subset xR ⊂ X consisting of all the elements y in X such that xRy. A set of the form xR is called an equivalence class. (1) Show that xR = yR (as subsets of X) if and only if xRy. (2) Show that xR ∩ yR = ∅ or xR = yR. (3) Show that there is a subset Y (called equivalence classes representatives) of X such that X is the disjoint union of subsets of the form yR for y ∈ Y . Is the set Y uniquely determined? (4) For each of the equivalence relations from Problem Set 2, Exercise 5, Parts 3, 5, 6, 7, 8: describe the equivalence classes, find a way to enumerate them by picking a nice representative for each, and find the cardinality of the set of equivalence classes. [I will ask Ruthi to discuss this a bit in the discussion session.] 2. Pliability of Smooth Functions. This problem undertakes a very fundamental construction: to prove that ∞ −1/x2 C -functions are very soft and pliable. Let F : R → R be defined by F (x) = e for x 6= 0 and F (0) = 0. (1) Verify that F is infinitely differentiable at every point (don’t forget that you computed on a 295 problem set that the k-th derivative exists and is zero, for all k ≥ 1). −1/x2 ∞ (2) Let ϕ : R → R be defined by ϕ(x) = 0 for x ≤ 0 and ϕ(x) = e for x > 0.
- 
												  Homomorphisms of 3-Chromatic GraphsDiscrete Mathematics 54 (1985) 127-132 127 North-Holland HOMOMORPHISMS OF 3-CHROMATIC GRAPHS Michael O. ALBERTSON Department of Mathematics, Smith College, Northampton, MA 01063, U.S.A. Karen L. COLLINS Department of Mathematics, M.L T., Cambridge, MA 02139, U.S.A. Received 29 March 1984 Revised 17 August 1984 This paper examines the effect of a graph homomorphism upon the chromatic difference sequence of a graph. Our principal result (Theorem 2) provides necessary conditions for the existence of a homomorphism onto a prescribed target. As a consequence we note that iterated cartesian products of the Petersen graph form an infinite family of vertex transitive graphs no one of which is the homomorphic image of any other. We also prove that there is a unique minimal element in the homomorphism order of 3-chromatic graphs with non-monotonic chromatic difference sequences (Theorem 1). We include a brief guide to some recent papers on graph homomorphisms. A homomorphism f from a graph G to a graph H is a mapping from the vertex set of G (denoted by V(G)) to the vertex set of H which preserves edges, i.e., if (u, v) is an edge in G, then (f(u), f(v)) is an edge in H. If in addition f is onto V(H) and each edge in H is the image of some edge in G, then f is said to be onto and H is called a homomorphic image of G. We define the homomorphism order ~> on the set of finite connected graphs as G ~>H if there exists a homomorphism which maps G onto H.
- 
												  Graph Operations and Upper Bounds on Graph Homomorphism CountsGraph Operations and Upper Bounds on Graph Homomorphism Counts Luke Sernau March 9, 2017 Abstract We construct a family of countexamples to a conjecture of Galvin [5], which stated that for any n-vertex, d-regular graph G and any graph H (possibly with loops), n n d d hom(G, H) ≤ max hom(Kd,d,H) 2 , hom(Kd+1,H) +1 , n o where hom(G, H) is the number of homomorphisms from G to H. By exploiting properties of the graph tensor product and graph exponentiation, we also find new infinite families of H for which the bound stated above on hom(G, H) holds for all n-vertex, d-regular G. In particular we show that if HWR is the complete looped path on three vertices, also known as the Widom-Rowlinson graph, then n d hom(G, HWR) ≤ hom(Kd+1,HWR) +1 for all n-vertex, d-regular G. This verifies a conjecture of Galvin. arXiv:1510.01833v3 [math.CO] 8 Mar 2017 1 Introduction Graph homomorphisms are an important concept in many areas of graph theory. A graph homomorphism is simply an adjacency-preserving map be- tween a graph G and a graph H. That is, for given graphs G and H, a function φ : V (G) → V (H) is said to be a homomorphism from G to H if for every edge uv ∈ E(G), we have φ(u)φ(v) ∈ E(H) (Here, as throughout, all graphs are simple, meaning without multi-edges, but they are permitted 1 to have loops).
- 
												  Chromatic Number of the Product of Graphs, Graph Homomorphisms, Antichains and Cofinal Subsets of Posets Without ACCHROMATIC NUMBER OF THE PRODUCT OF GRAPHS, GRAPH HOMOMORPHISMS, ANTICHAINS AND COFINAL SUBSETS OF POSETS WITHOUT AC AMITAYU BANERJEE AND ZALAN´ GYENIS Abstract. In set theory without the Axiom of Choice (AC), we observe new relations of the following statements with weak choice principles. • If in a partially ordered set, all chains are finite and all antichains are countable, then the set is countable. • If in a partially ordered set, all chains are finite and all antichains have size ℵα, then the set has size ℵα for any regular ℵα. • CS (Every partially ordered set without a maximal element has two disjoint cofinal subsets). • CWF (Every partially ordered set has a cofinal well-founded subset). • DT (Dilworth’s decomposition theorem for infinite p.o.sets of finite width). We also study a graph homomorphism problem and a problem due to Andr´as Hajnal without AC. Further, we study a few statements restricted to linearly-ordered structures without AC. 1. Introduction Firstly, the first author observes the following in ZFA (Zermelo-Fraenkel set theory with atoms). (1) In Problem 15, Chapter 11 of [KT06], applying Zorn’s lemma, Komj´ath and Totik proved the statement “Every partially ordered set without a maximal element has two disjoint cofinal subsets” (CS). In Theorem 3.26 of [THS16], Tachtsis, Howard and Saveliev proved that CS does not imply ‘there are no amorphous sets’ in ZFA. We observe ω that CS 6→ ACfin (the axiom of choice for countably infinite familes of non-empty finite − sets), CS 6→ ACn (‘Every infinite family of n-element sets has a partial choice function’) 1 − for every 2 ≤ n<ω and CS 6→ LOKW4 (Every infinite linearly orderable family A of 4-element sets has a partial Kinna–Wegner selection function)2 in ZFA.
- 
												  General TopologyGeneral 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).
- 
												  No Finite-Infinite Antichain Duality in the Homomorphism Poset D of Directed GraphsNO FINITE-INFINITE ANTICHAIN DUALITY IN THE HOMOMORPHISM POSET D OF DIRECTED GRAPHS PETER¶ L. ERDOS} AND LAJOS SOUKUP Abstract. D denotes the homomorphism poset of ¯nite directed graphs. An antichain duality is a pair hF; Di of antichains of D such that (F!) [ (!D) = D is a partition. A generalized duality pair in D is an antichain duality hF; Di with ¯nite F and D: We give a simpli¯ed proof of the Foniok - Ne·set·ril- Tardif theorem for the special case D, which gave full description of the generalized duality pairs in D. Although there are many antichain dualities hF; Di with in¯nite D and F, we can show that there is no antichain duality hF; Di with ¯nite F and in¯nite D. 1. Introduction If G and H are ¯nite directed graphs, write G · H or G ! H i® there is a homomorphism from G to H, that is, a map f : V (G) ! V (H) such that hf(x); f(y)i is a directed edge 2 E(H) whenever hx; yi 2 E(G). The relation · is a quasi-order and so it induces an equivalence relation: G and H are homomorphism-equivalent if and only if G · H and H · G. The homomorphism poset D is the partially ordered set of all equivalence classes of ¯nite directed graphs, ordered by ·. In this paper we continue the study of antichain dualities in D (what was started, in this form, in [2]). An antichain duality is a pair hF; Di of disjoint antichains of D such that D = (F!) [ (!D) is a partition of D, where the set F! := fG : F · G for some F 2 Fg, and !D := fG : G · D for some D 2 Dg.
- 
												  6. Localization52 Andreas Gathmann 6. Localization Localization is a very powerful technique in commutative algebra that often allows to reduce ques- tions on rings and modules to a union of smaller “local” problems. It can easily be motivated both from an algebraic and a geometric point of view, so let us start by explaining the idea behind it in these two settings. Remark 6.1 (Motivation for localization). (a) Algebraic motivation: Let R be a ring which is not a field, i. e. in which not all non-zero elements are units. The algebraic idea of localization is then to make more (or even all) non-zero elements invertible by introducing fractions, in the same way as one passes from the integers Z to the rational numbers Q. Let us have a more precise look at this particular example: in order to construct the rational numbers from the integers we start with R = Z, and let S = Znf0g be the subset of the elements of R that we would like to become invertible. On the set R×S we then consider the equivalence relation (a;s) ∼ (a0;s0) , as0 − a0s = 0 a and denote the equivalence class of a pair (a;s) by s . The set of these “fractions” is then obviously Q, and we can define addition and multiplication on it in the expected way by a a0 as0+a0s a a0 aa0 s + s0 := ss0 and s · s0 := ss0 . (b) Geometric motivation: Now let R = A(X) be the ring of polynomial functions on a variety X. In the same way as in (a) we can ask if it makes sense to consider fractions of such polynomials, i.
- 
												  Introduction to Abstract Algebra (Math 113)Introduction to Abstract Algebra (Math 113) Alexander Paulin, with edits by David Corwin FOR FALL 2019 MATH 113 002 ONLY Contents 1 Introduction 4 1.1 What is Algebra? . 4 1.2 Sets . 6 1.3 Functions . 9 1.4 Equivalence Relations . 12 2 The Structure of + and × on Z 15 2.1 Basic Observations . 15 2.2 Factorization and the Fundamental Theorem of Arithmetic . 17 2.3 Congruences . 20 3 Groups 23 1 3.1 Basic Definitions . 23 3.1.1 Cayley Tables for Binary Operations and Groups . 28 3.2 Subgroups, Cosets and Lagrange's Theorem . 30 3.3 Generating Sets for Groups . 35 3.4 Permutation Groups and Finite Symmetric Groups . 40 3.4.1 Active vs. Passive Notation for Permutations . 40 3.4.2 The Symmetric Group Sym3 . 43 3.4.3 Symmetric Groups in General . 44 3.5 Group Actions . 52 3.5.1 The Orbit-Stabiliser Theorem . 55 3.5.2 Centralizers and Conjugacy Classes . 59 3.5.3 Sylow's Theorem . 66 3.6 Symmetry of Sets with Extra Structure . 68 3.7 Normal Subgroups and Isomorphism Theorems . 73 3.8 Direct Products and Direct Sums . 83 3.9 Finitely Generated Abelian Groups . 85 3.10 Finite Abelian Groups . 90 3.11 The Classification of Finite Groups (Proofs Omitted) . 95 4 Rings, Ideals, and Homomorphisms 100 2 4.1 Basic Definitions . 100 4.2 Ideals, Quotient Rings and the First Isomorphism Theorem for Rings . 105 4.3 Properties of Elements of Rings . 109 4.4 Polynomial Rings . 112 4.5 Ring Extensions . 115 4.6 Field of Fractions .
- 
												  Commutative AlgebraCommutative Algebra Andrew Kobin Spring 2016 / 2019 Contents Contents Contents 1 Preliminaries 1 1.1 Radicals . .1 1.2 Nakayama's Lemma and Consequences . .4 1.3 Localization . .5 1.4 Transcendence Degree . 10 2 Integral Dependence 14 2.1 Integral Extensions of Rings . 14 2.2 Integrality and Field Extensions . 18 2.3 Integrality, Ideals and Localization . 21 2.4 Normalization . 28 2.5 Valuation Rings . 32 2.6 Dimension and Transcendence Degree . 33 3 Noetherian and Artinian Rings 37 3.1 Ascending and Descending Chains . 37 3.2 Composition Series . 40 3.3 Noetherian Rings . 42 3.4 Primary Decomposition . 46 3.5 Artinian Rings . 53 3.6 Associated Primes . 56 4 Discrete Valuations and Dedekind Domains 60 4.1 Discrete Valuation Rings . 60 4.2 Dedekind Domains . 64 4.3 Fractional and Invertible Ideals . 65 4.4 The Class Group . 70 4.5 Dedekind Domains in Extensions . 72 5 Completion and Filtration 76 5.1 Topological Abelian Groups and Completion . 76 5.2 Inverse Limits . 78 5.3 Topological Rings and Module Filtrations . 82 5.4 Graded Rings and Modules . 84 6 Dimension Theory 89 6.1 Hilbert Functions . 89 6.2 Local Noetherian Rings . 94 6.3 Complete Local Rings . 98 7 Singularities 106 7.1 Derived Functors . 106 7.2 Regular Sequences and the Koszul Complex . 109 7.3 Projective Dimension . 114 i Contents Contents 7.4 Depth and Cohen-Macauley Rings . 118 7.5 Gorenstein Rings . 127 8 Algebraic Geometry 133 8.1 Affine Algebraic Varieties . 133 8.2 Morphisms of Affine Varieties . 142 8.3 Sheaves of Functions .
- 
												  Algebra Notes SeptAlgebra Notes Sept. 16: Fields of Fractions and Homomorphisms Geoffrey Scott Today, we discuss two topics. The first topic is a way to enlarge a ring by introducing new elements that act as multiplicative inverses of non-units, just like making fractions of integers enlarges Z into Q. The second topic will be the concept of a ring homomorphism, which is a map between rings that preserves the addition and multiplication operations. Fields of Fractions Most integers don't have integer inverses. This is annoying, because it means we can't even solve linear equations like 2x = 5 in the ring Z. One popular way to resolve this issue is to work in Q instead, where the solution is x = 5=2. Because Q is a field, we can solve any equation −1 ax = b with a; b 2 Q and a 6= 0 by multiplying both sides of the equation by a (guaranteed −1 to exist because Q is a field), obtaining a b (often written a=b). Now suppose we want to solve ax = b, but instead of a and b being integers, they are elements of some ring R. Can we always find a field that contains R so that we multiply both sides by a−1 (in other words, \divide" by a), thereby solving ax = b in this larger field? To start, let's assume that R is a commutative ring with identity. If we try to enlarge R into a field in the most naive way possible, using as inspiration the way we enlarge Z into Q, we might try the following definition.
- 
												  Graph Relations and Constrained Homomorphism Partial Orders (Relationen Von Graphen Und Partialordungen Durch Spezielle Homomorphismen) Long, YangjingGraph Relations and Constrained Homomorphism Partial Orders Der Fakultät für Mathematik und Informatik der Universität Leipzig eingereichte DISSERTATION zur Erlangung des akademischen Grades DOCTOR RERUM NATURALIUM (Dr.rer.nat.) im Fachgebiet Mathematik vorgelegt von Bachelorin Yangjing Long geboren am 08.07.1985 in Hubei (China) arXiv:1404.5334v1 [math.CO] 21 Apr 2014 Leipzig, den 20. März, 2014 献给我挚爱的母亲们! Acknowledgements My sincere and earnest thanks to my ‘Doktorväter’ Prof. Dr. Peter F. Stadler and Prof. Dr. Jürgen Jost. They introduced me to an interesting project, and have been continuously giving me valuable guidance and support. Thanks to my co-authers Prof. Dr. Jiří Fiala and Prof. Dr. Ling Yang, with whom I have learnt a lot from discussions. I also express my true thanks to Prof. Dr. Jaroslav Nešetřil for the enlightening discussions that led me along the way to research. I would like to express my gratitude to my teacher Prof. Dr. Yaokun Wu, many of my senior fellow apprentice, especially Dr. Frank Bauer and Dr. Marc Hellmuth, who have given me a lot of helpful ideas and advice. Special thanks to Dr. Jan Hubička and Dr. Xianqing Li-jost, not only for their guidance in mathematics and research, but also for their endless care and love—they have made a better and happier me. Many thanks to Dr. Danijela Horak helping with the artwork in this thesis, and also to Dr. Andrew Goodall, Dr. Johannes Rauh, Dr. Chao Xiao, Dr. Steve Chaplick and Mark Jacobs for devoting their time and energy to reading drafts of the thesis and making language corrections.
- 
												  Math 127: Equivalence RelationsMath 127: Equivalence Relations Mary Radcliffe 1 Equivalence Relations Relations can take many forms in mathematics. In these notes, we focus especially on equivalence relations, but there are many other types of relations (such as order relations) that exist. Definition 1. Let X; Y be sets. A relation R = R(x; y) is a logical formula for which x takes the range of X and y takes the range of Y , sometimes called a relation from X to Y . If R(x; y) is true, we say that x is related to y by R, and we write xRy to indicate that x is related to y by R. Example 1. Let f : X ! Y be a function. We can define a relation R by R(x; y) ≡ (f(x) = y). Example 2. Let X = Y = Z. We can define a relation R by R(a; b) ≡ ajb. There are many other examples at hand, such as ordering on R, multiples in Z, coprimality relationships, etc. The definition we have here is simply that a relation gives some way to connect two elements to each other, that can either be true or false. Of course, that's not a very useful thing, so let's add some conditions to make the relation carry more meaning. For this, we shall focus on relations from X to X, also called relations on X. There are several properties that will be interesting in considering relations: Definition 2. Let X be a set, and let ∼ be a relation on X. • We say that ∼ is reflexive if x ∼ x 8x 2 X.