On Nowhere Dense Graphs

Total Page:16

File Type:pdf, Size:1020Kb

On Nowhere Dense Graphs View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector European Journal of Combinatorics 32 (2011) 600–617 Contents lists available at ScienceDirect European Journal of Combinatorics journal homepage: www.elsevier.com/locate/ejc On nowhere dense graphs Jaroslav Nešetřil a, Patrice Ossona de Mendez b a Department of Applied Mathematics and Institute of Theoretical Computer Science (ITI), Charles University, Malostranské nám.25, 11800 Praha 1, Czech Republic b Centre d'Analyse et de Mathématiques Sociales, CNRS, UMR 8557, 54 Bd Raspail, 75006 Paris, France article info a b s t r a c t Article history: In this paper, we define and analyze the nowhere dense classes of Received 4 June 2009 graphs. This notion is a common generalization of proper minor Accepted 6 April 2010 closed classes, classes of graphs with bounded degree, locally Available online 17 February 2011 planar graphs, classes with bounded expansion, to name just a few classes which are studied extensively in combinatorial and computer science contexts. In this paper, we show that this concept leads to a classification of general classes of graphs and to the dichotomy between nowhere dense and somewhere dense classes. This classification is surprisingly stable as it can be expressed in terms of the most commonly used basic combinatorial parameters, such as the independence number α, the clique number !, and the chromatic number χ. The remarkable stability of this notion and its robustness has a number of applications to mathematical logic, complexity of algorithms, and combinatorics. We also express the nowhere dense versus somewhere dense dichotomy in terms of edge densities as a trichotomy theorem. ' 2011 Elsevier Ltd. All rights reserved. 1. Introduction For a (finite or infinite) family F of graphs, we denote by Forbm.F / the class of all finite graphs G not containing any F 2 F as a subgraph. By a subgraph we mean here not necessarily induced subgraph (and ``m'' in Forbm.F / stands for monomorphism). In this paper, we study mainly asymptotic properties of such classes which are defined by means of edge densities. In order to digest this we list some examples: • Forbm.K2/ is the class of all discrete graphs; • Forbm.Pk/ is the class of graphs with a bounded tree depth ([25]; see Section 3); E-mail addresses: [email protected] (J. Nešetřil), [email protected] (P. Ossona de Mendez). 0195-6698/$ – see front matter ' 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.ejc.2011.01.006 J. Nešetřil, P. Ossona de Mendez / European Journal of Combinatorics 32 (2011) 600–617 601 • Forbm.S1;k/ is the class of all graphs with all degrees bounded by k; • Forbm.T / for any given tree T is a class of graphs with bounded degeneracy (or bounded maximal average degree). On the other side of our spectrum is the class Forbm.fC` V ` ≤ gg/ of all graphs with girth >g. This class may be regarded as a class of random-like graphs. In the next section, we shall define the notions of shallow minor and topological minor and this will lead to much more general classes of type Forbm.F / which are called bounded expansion classes, bounded local expansion classes and finally here newly defined classes of nowhere dense graphs. For all these classes we shall be able to prove characterizations. Classes of nowhere dense structures are defined in this paper (in Section 2.1) and they have several interesting (and we believe surprising) properties and equivalent formulations; see Theorem 4.1. This result, for example, alternatively defines nowhere dense classes as classes of structures where all shallow minors have edge density n1Co.1/. The interplay between dense classes (more precisely the classes of somewhere dense graphs) and classes of nowhere dense graphs is very interesting and it is expressed by the trichotomy Theorem 3.2. Despite the generality of these classes we can deduce from the results of [26,27] several algorithmic consequences. For example any first-order sentence preserved under homomorphisms on a class C of structures may be decided in time O.n/ if C has bounded expansion and in time n1Co.1/ if C is a class of nowhere dense structures. The nowhere dense classes strictly contain studied classes of structures such as classes with bounded local tree width, locally excluded minors, etc; see [8,20,4,3,5,10]; see Fig. 3 for the schema of inclusion of these classes. Yet we can prove for all these new classes that the relativized homomorphism preservation theorems hold even for them. Perhaps this also provides a proper setting for questions related to scattered sets in graphs. This leads to notions wide, semi-wide and quasi-wide classes and we obtain characterization theorems for these classes. This is mentioned in the last section devoted to applications. In Section 3, we prove Theorem 4.1 which should be seen as the main result of this paper. It not only characterizes classes of nowhere dense graphs (and structures) but it also explains the pleasing interplay of various invariants defined for bounded expansion classes. This has several consequences for first-order definable classes, for dualities and leads to efficient algorithms. Some of these are listed in Section 4 which is devoted to applications. 2. Definitions For graphs, and more generally, relational structures, we use standard notation and terminology. In this section we give the key definitions of this paper. 2.1. Distances, shallow minors and grads The distance in a graph G between two vertices x and y is the minimum length of a path linking x and y (or 1 if x and y do not belong to the same connected component of G) and is denoted by distG.x; y/. D G 2 Let G .V ; E/ be a graph and let d be an integer. The d-neighborhood Nd .u/ of a vertex u V is the G D f 2 V ≤ g subset of vertices of G at distance at most d from u in G: Nd .u/ v V distG.u; v/ d . For a graph G D .V ; E/, we denote by jGj the order of G (that is, jV j) and by kGk the size of G (that is, jEj). For any graphs H and G and any integer d, the graph H is said to be a shallow minor of G at depth d ([34] attribute this notion, then called low depth minor to Ch. Leiserson and S. Toledo) if there exists a subset fx1;:::; xpg of G and a collection of disjoint subsets V1;:::; Vp of vertices of G, each inducing a connected subgraph of G, such that xi 2 Vi, every vertex in Vi is at distance at most d from xi in the subgraph of G induced by Vi, and so that H is a subgraph of the graph obtained from G by contracting each Vi into xi and removing loops and multiple edges (see Fig. 1). The set of all shallow minors of G at depth d is denoted by G O d. In particular, G O 0 is the set of all subgraphs of G. 602 J. Nešetřil, P. Ossona de Mendez / European Journal of Combinatorics 32 (2011) 600–617 Fig. 1. A shallow minor of depth r of a graph G is a simple subgraph of a minor of G obtained by contracting vertex disjoint subgraphs with radius at most r. The greatest reduced average density (shortly grad) with rank r of a graph G [26] is defined by the formula kHk rr .G/ D max V H 2 G O r : (1) jHj By extension, for a class of graphs C, we denote by C O i the set of all shallow minors at depth i of graphs of C, that is, [ C O i D .G O i/: G2C Hence we have C ⊆ C O 0 ⊆ C O 1 ⊆ ::: ⊆ C O i ⊆ :::: Also, for a class C of graphs we define the expansion of the class C as ri.C/ D sup ri.G/: G2C Notice that ri.C/ D r0.C O i/. These definitions may be carried over for any graph invariant. Explicitly, let us define !i.C/ D sup !.G/ D !.C O i/: G2C O i We of course put !i.C/ D 1 if the supremum is infinite. The (non-decreasing) sequence !1.C/; !2.C/; : : : plays an important role in this paper and it leads to the central definition. Definition 2.1. A class C of graphs is somewhere dense if there exists an integer τ such that !τ .C/ D 1. Otherwise, if !i.C/ < 1 for each integer i, the class C is nowhere dense. This definition seems to be ad hoc and arbitrary. In this paper, we give an evidence of the contrary: we show many equivalent formulations of the nowhere dense versus somewhere dense dichotomy. We start with a more detailed analysis of shallow minors. 2.2. Shallow topological minors and top-grads For any (simple) graphs H and G and any integer d, the graph H is said to be a shallow topological minor of G at depth d if there exists a subset fx1;:::; xpg of G and a collection of internally vertex disjoint paths P1 ::: Pq each of length at most 2d C 1 of G with endpoints in fx1;:::; xpg whose contraction into single edges define on fx1;:::; xpg a graph isomorphic to H (see Fig. 2). Putting otherwise G contains a subdivision of H with at most 2d subdivision vertices on each edge.
Recommended publications
  • Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs∗
    Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs∗ Sariel Har-Peledy Kent Quanrudz September 23, 2015 Abstract We investigate the family of intersection graphs of low density objects in low dimensional Eu- clidean space. This family is quite general, includes planar graphs, and in particular is a subset of the family of graphs that have polynomial expansion. We present efficient (1 + ")-approximation algorithms for polynomial expansion graphs, for Independent Set, Set Cover, and Dominating Set problems, among others, and these results seem to be new. Naturally, PTAS's for these problems are known for subclasses of this graph family. These results have immediate interesting applications in the geometric domain. For example, the new algorithms yield the only PTAS known for covering points by fat triangles (that are shallow). We also prove corresponding hardness of approximation for some of these optimization problems, characterizing their intractability with respect to density. For example, we show that there is no PTAS for covering points by fat triangles if they are not shallow, thus matching our PTAS for this problem with respect to depth. 1. Introduction Many classical optimization problems are intractable to approximate, let alone solve. Motivated by the discrepancy between the worst-case analysis and real-world success of algorithms, more realistic models of input have been developed, alongside algorithms that take advantage of their properties. In this paper, we investigate approximability of some classical optimization problems (e.g., set cover and independent set, among others) for two closely-related families of graphs: Graphs with polynomially- bounded expansion, and intersection graphs of geometric objects with low-density.
    [Show full text]
  • Measuring Sparsity
    Chapter 1: Measuring sparsity Compilation date: January 24, 2020 1 Motivating examples and concepts Before we start delving into the theory of structural sparsity, we present a number of classic concepts in graph theory, on which many of abstract notion will built later on. These concepts include both classes of sparse graphs and various decomposition notions. 1.1 Planar graphs We start our story with probably the most important class of starse graphs: planar graphs. Since we do not want to put an emphasis on the topological aspects of graph embeddings (and only slide over embeddings into surfaces of higher genera), we will rely here on the intuitive understanding of an embedding. Readers interested in more intricate aspects of graph embeddings are referred to an excellent monograph of Mohar and Thomassen. A plane embedding of a graph G is a mapping that assigns to every vertex of G a distinct point of the two dimensional sphere and to every edge of G a Jordan curve without self-intersections that connects the images of the endpoints of the edge. Distinct edges share no points except for the necessary case: when two edges are incident with the same vertex, the images of the curves meet at their endpoints at the image of the vertex in question. A plane graph is a graph G together with its plane embedding. A graph G is planar if it admits a plane embedding. A face of an embedding is a connected component of the sphere minus the image of the graph. An embedding is cellular if every face is homomorphic to a disc.
    [Show full text]
  • On Quasi-Planar Graphs: Clique-Width and Logical Description
    On quasi-planar graphs : clique-width and logical description Bruno Courcelle To cite this version: Bruno Courcelle. On quasi-planar graphs : clique-width and logical description. Discrete Applied Mathematics, Elsevier, 2018, 10.1016/j.dam.2018.07.022. hal-01735820v2 HAL Id: hal-01735820 https://hal.archives-ouvertes.fr/hal-01735820v2 Submitted on 3 Mar 2020 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. On quasi-planar graphs : clique-width and logical description. Bruno Courcelle Labri, CNRS and Bordeaux University∗ 33405 Talence, France email: [email protected] June 19, 2018 Abstract Motivated by the construction of FPT graph algorithms parameterized by clique-width or tree-width, we study graph classes for which tree- width and clique-width are linearly related. This is the case for all graph classes of bounded expansion, but in view of concrete applications, we want to have "small" constants in the comparisons between these width parameters. We focus our attention on graphs that can be drawn in the plane with limited edge crossings, for an example, at most p crossings for each edge. These graphs are called p-planar. We consider a more general situation where the graph of edge crossings must belong to a fixed class of graphs .
    [Show full text]
  • An Annotated Bibliography on 1-Planarity
    An annotated bibliography on 1-planarity Stephen G. Kobourov1, Giuseppe Liotta2, Fabrizio Montecchiani2 1Dep. of Computer Science, University of Arizona, Tucson, USA [email protected] 2Dip. di Ingegneria, Universit`adegli Studi di Perugia, Perugia, Italy fgiuseppe.liotta,[email protected] July 21, 2017 Abstract The notion of 1-planarity is among the most natural and most studied generalizations of graph planarity. A graph is 1-planar if it has an embedding where each edge is crossed by at most another edge. The study of 1-planar graphs dates back to more than fifty years ago and, recently, it has driven increasing attention in the areas of graph theory, graph algorithms, graph drawing, and computational geometry. This annotated bibliography aims to provide a guiding reference to researchers who want to have an overview of the large body of literature about 1-planar graphs. It reviews the current literature covering various research streams about 1-planarity, such as characterization and recognition, combinatorial properties, and geometric representations. As an additional contribution, we offer a list of open problems on 1-planar graphs. 1 Introduction Relational data sets, containing a set of objects and relations between them, are commonly modeled by graphs, with the objects as the vertices and the relations as the edges. A great deal is known about the structure and properties of special types of graphs, in particular planar graphs. The class of planar graphs is fundamental for both Graph Theory and Graph Algorithms, and is extensively studied. Many structural properties of planar graphs are known and these properties can be used in the development of efficient algorithms for planar graphs, even where the more general problem is NP-hard [11].
    [Show full text]
  • Homomorphism Counts in Robustly Sparse Graphs
    Homomorphism counts in robustly sparse graphs Chun-Hung Liu∗ Department of Mathematics, Texas A&M University, College Station, TX 77843-3368, USA July 5, 2021 Abstract For a fixed graph H and for arbitrarily large host graphs G, the number of homo- morphisms from H to G and the number of subgraphs isomorphic to H contained in G have been extensively studied in extremal graph theory and graph limits theory when the host graphs are allowed to be dense. This paper addresses the case when the host graphs are robustly sparse and proves a general theorem that solves a number of open questions proposed since 1990s and strengthens a number of results in the literature. We prove that for any graph H and any set of homomorphisms from H to H members of a hereditary class of graphs, if satisfies a natural and mild condition, G H and contracting disjoint subgraphs of radius O( V (H) ) in members of cannot create | | G a graph with large edge-density, then an obvious lower bound for the size of gives H a good estimation for the size of . This result determines the maximum number of H H-homomorphisms, the maximum number of H-subgraphs, and the maximum number H-induced subgraphs in graphs in any hereditary class with bounded expansion up to a constant factor; it also determines the exact value of the asymptotic logarithmic density for H-homomorphisms, H-subgraphs and H-induced subgraphs in graphs in any hereditary nowhere dense class. Hereditary classes with bounded expansion include arXiv:2107.00874v1 [math.CO] 2 Jul 2021 (topological) minor-closed families and many classes of graphs with certain geometric properties; nowhere dense classes are the most general sparse classes in sparsity theory.
    [Show full text]
  • Graph Minor from Wikipedia, the Free Encyclopedia Contents
    Graph minor From Wikipedia, the free encyclopedia Contents 1 2 × 2 real matrices 1 1.1 Profile ................................................. 1 1.2 Equi-areal mapping .......................................... 2 1.3 Functions of 2 × 2 real matrices .................................... 2 1.4 2 × 2 real matrices as complex numbers ............................... 3 1.5 References ............................................... 4 2 Abelian group 5 2.1 Definition ............................................... 5 2.2 Facts ................................................. 5 2.2.1 Notation ........................................... 5 2.2.2 Multiplication table ...................................... 6 2.3 Examples ............................................... 6 2.4 Historical remarks .......................................... 6 2.5 Properties ............................................... 6 2.6 Finite abelian groups ......................................... 7 2.6.1 Classification ......................................... 7 2.6.2 Automorphisms ....................................... 7 2.7 Infinite abelian groups ........................................ 8 2.7.1 Torsion groups ........................................ 9 2.7.2 Torsion-free and mixed groups ................................ 9 2.7.3 Invariants and classification .................................. 9 2.7.4 Additive groups of rings ................................... 9 2.8 Relation to other mathematical topics ................................. 10 2.9 A note on the typography ......................................
    [Show full text]
  • Notes on Graph Product Structure Theory
    Notes on Graph Product Structure Theory Zdenekˇ Dvorák,ˇ Tony Huynh, Gwenaël Joret, Chun-Hung Liu, and David R. Wood Abstract It was recently proved that every planar graph is a subgraph of the strong product of a path and a graph with bounded treewidth. This paper surveys gener- alisations of this result for graphs on surfaces, minor-closed classes, various non- minor-closed classes, and graph classes with polynomial growth. We then explore how graph product structure might be applicable to more broadly defined graph classes. In particular, we characterise when a graph class defined by a cartesian or strong product has bounded or polynomial expansion. We then explore graph prod- uct structure theorems for various geometrically defined graph classes, and present several open problems. Zdenekˇ Dvorákˇ Charles University, Prague, Czech Republic Supported by project 17-04611S (Ramsey-like aspects of graph coloring) of Czech Science Foun- dation e-mail: [email protected] Tony Huynh and David R. Wood School of Mathematics, Monash University, Melbourne, Australia Research supported by the Australian Research Council e-mail: [email protected],[email protected] Gwenaël Joret Département d’Informatique, Université libre de Bruxelles, Brussels, Belgium Research supported by the Wallonia-Brussels Federation of Belgium, and by the Australian Re- search Council e-mail: [email protected] Chun-Hung Liu Department of Mathematics, Texas A&M University, College Station, Texas, USA Partially supported by the NSF under Grant No. DMS-1929851 e-mail: [email protected] 1 2 Zdenekˇ Dvorák,ˇ Tony Huynh, Gwenaël Joret, Chun-Hung Liu, and David R.
    [Show full text]
  • Separator Theorems for Minor-Free and Shallow Minor-Free Graphs with Applications
    Separator Theorems for Minor-Free and Shallow Minor-Free Graphs with Applications Christian Wulff-Nilsen ∗ September 1, 2018 Abstract Alon, Seymour, and Thomas generalized Lipton and Tarjan’s planar separator theorem and 3/2 showed that a Kh-minor free graph with n vertices has a separator of size at most h √n. They gave an algorithm that, given a graph G with m edges and n vertices and given an integer h 1, outputs in O(√hnm) time such a separator or a Kh-minor of G. Plotkin, Rao, and Smith gave≥ an O(hm√n log n) time algorithm to find a separator of size O(h√n log n). Kawarabayashi and Reed improved the bound on the size of the separator to h√n and gave an algorithm that finds such a separator in O(n1+ǫ) time for any constant ǫ > 0, assuming h is constant. This algorithm has an extremely large dependency on h in the running time (some power tower of h whose height is itself a function of h), making it impractical even for small h. We are interested in a small polynomial time dependency on h and we show how to find an O(h√n log n)-size 5/4+ǫ separator or report that G has a Kh-minor in O(poly(h)n ) time for any constant ǫ > 0. We also present the first O(poly(h)n) time algorithm to find a separator of size O(nc) for a constant c < 1. As corollaries of our results, we get improved algorithms for shortest paths and maximum matching.
    [Show full text]
  • Characterisations and Examples of Graph Classes with Bounded Expansion
    CHARACTERISATIONS AND EXAMPLES OF GRAPH CLASSES WITH BOUNDED EXPANSION JAROSLAV NESETˇ RIL,ˇ PATRICE OSSONA DE MENDEZ, AND DAVID R. WOOD Abstract. Classes with bounded expansion, which generalise classes that ex- clude a topological minor, have recently been introduced by Neˇsetˇriland Os- sona de Mendez. These classes are defined by the fact that the maximum average degree of a shallow minor of a graph in the class is bounded by a function of the depth of the shallow minor. Several linear-time algorithms are known for bounded expansion classes (such as subgraph isomorphism testing), and they allow restricted homomorphism dualities, amongst other desirable properties. In this paper we establish two new characterisations of bounded expansion classes, one in terms of so-called topological parameters, the other in terms of controlling dense parts. The latter characterisation is then used to show that the notion of bounded expansion is compatible with Erd¨os-R´enyi model of random graphs with constant average degree. In particular, we prove that for every fixed d > 0, there exists a class with bounded expansion, such that a random graph of order n and edge probability d=n asymptotically almost surely belongs to the class. We then present several new examples of classes with bounded expansion that do not exclude some topological minor, and appear naturally in the con- text of graph drawing or graph colouring. In particular, we prove that the following classes have bounded expansion: graphs that can be drawn in the plane with a bounded number of crossings per edge, graphs with bounded stack number, graphs with bounded queue number, and graphs with bounded non-repetitive chromatic number.
    [Show full text]
  • Notes on Graph Product Structure Theory
    Notes on Graph Product Structure Theory∗ § Zdeněk Dvořák Tony Huynh ¶ Gwenaël Joret ‡ Chun-Hung Liu † David R. Wood ¶ July 6, 2020 Abstract It was recently proved that every planar graph is a subgraph of the strong product of a path and a graph with bounded treewidth. This paper surveys generalisations of this result for graphs on surfaces, minor-closed classes, various non-minor-closed classes, and graph classes with polynomial growth. We then explore how graph product structure might be applicable to more broadly defined graph classes. In particular, we characterise when a graph class defined by a cartesian or strong product has bounded or polynomial expansion. We then explore graph product structure theorems for various geometrically defined graph classes, and present several open problems. 1 Introduction Studying the structure of graphs is a fundamental topic of broad interest in combinatorial mathematics. At the forefront of this study is the Graph Minor Theorem of Robertson and Seymour [46], described by Diestel [8] as “among the deepest theorems mathematics has to offer”. At the heart of the proof of this theorem is the Graph Minor Structure Theorem, which shows that any graph in a minor-closed family1 can be constructed using four ingredients: graphs on surfaces, vortices, apex vertices, and clique-sums. Graphs of arXiv:2001.08860v2 [math.CO] 2 Jul 2020 bounded genus, and in particular planar graphs are basic building blocks in graph minor structure theory. Indeed, the theory says nothing about the structure of planar graphs. §Charles University, Prague, Czech Republic ([email protected]). Supported by project 17- 04611S (Ramsey-like aspects of graph coloring) of Czech Science Foundation.
    [Show full text]
  • Topological Algorithms for Geographic and Geometric Graphs
    UC Irvine UC Irvine Electronic Theses and Dissertations Title Topological Algorithms for Geographic and Geometric Graphs Permalink https://escholarship.org/uc/item/52t311vn Author Gupta, Siddharth Publication Date 2018 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, IRVINE Topological Algorithms for Geographic and Geometric Graphs DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Computer Science by Siddharth Gupta Dissertation Committee: Professor David Eppstein, Chair Professor Michael T. Goodrich Professor Sandy Irani 2018 Chapter 2 c 2016 ACM Chapter 3 c 2017 ACM Chapter 4 c 2018 Springer All other materials c 2018 Siddharth Gupta DEDICATION To my parents Govind Gupta and Vimla Gupta, my sister-in-law Shraddha Gupta and especially to my brother and best friend Yatharth Gupta for always having faith in me. ii TABLE OF CONTENTS Page LIST OF FIGURES v LIST OF TABLES vii ACKNOWLEDGMENTS viii CURRICULUM VITAE ix ABSTRACT OF THE DISSERTATION xi 1 Introduction 1 1.1 Results . .2 2 A Topological Algorithm for Road Networks Evolution 5 2.1 Introduction . .5 2.1.1 Problem Definition . .6 2.1.2 Prior Related Work . .8 2.1.3 Our Results . 10 2.2 Our Algorithm . 11 2.2.1 Labeling Vertices . 11 2.2.2 Choosing Pairs of Starting Nodes . 13 2.2.3 Flood-based Conformal Matching . 15 2.3 Experiments . 19 2.3.1 Preprocessing the Data . 20 2.3.2 Tuning the Seed-labeling Parameter .
    [Show full text]
  • Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs Arxiv:1501.00721V2 [Cs.CG] 31 May 2016
    Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs∗ Sariel Har-Peledy Kent Quanrudz June 1, 2016 Abstract We investigate the family of intersection graphs of low density objects in low dimensional Eu- clidean space. This family is quite general, includes planar graphs, and in particular is a subset of the family of graphs that have polynomial expansion. We present efficient (1 + ")-approximation algorithms for polynomial expansion graphs, for In- dependent Set, Set Cover, and Dominating Set problems, among others, and these results seem to be new. Naturally, PTAS’s for these problems are known for subclasses of this graph family. These results have immediate applications in the geometric domain. For example, the new algorithms yield the only PTAS known for covering points by fat triangles (that are shallow). We also prove corresponding hardness of approximation for some of these optimization problems, characterizing their intractability with respect to density. For example, we show that there is no PTAS for covering points by fat triangles if they are not shallow, thus matching our PTAS for this problem with respect to depth. 1. Introduction Motivation. Geometric set cover, as the name suggests, is a geometric instantiation of the classical set cover problem. For example, given a set of points and a set of triangles (with fixed locations) in the plane, we want to select a minimum number of triangles that cover all of the given points. Similar geometric variants can be defined for independent set, hitting set, dominating set, and the like. For relatively simple shapes, such geometric instances should be computationally easier than the general problem.
    [Show full text]