1 Independence densities of hypergraphs Anthony Bonato Ryerson University 2014 CMS Summer Meeting Independence densities - Anthony Bonato.

Slides:



Advertisements
Similar presentations
Min-Max Relations, Hall’s Theorem, and Matching-Algorithms Graphs & Algorithms Lecture 5 TexPoint fonts used in EMF. Read the TexPoint manual before you.
Advertisements

Lecture 9 - Cop-win Graphs and Retracts Dr. Anthony Bonato Ryerson University AM8002 Fall 2014.
1 Almost all cop-win graphs contain a universal vertex Anthony Bonato Ryerson University CanaDAM 2011.
A Separator Theorem for Graphs with an Excluded Minor and its Applications Paul Seymour Noga Alon Robin Thomas Lecturer : Daniel Motil.
Universal Random Semi-Directed Graphs
Distinguishing Infinite Graphs Anthony Bonato 1 Distinguishing Infinite Graphs Anthony Bonato Ryerson University Discrete Mathematics Days 2009 May 23,
Every H-decomposition of K n has a nearly resolvable alternative Wilson: e(H) | n(n-1)/2 and gcd(H) | n-1 n>> then there exists an H-decomposition of K.
Greedy Algorithms for Matroids Andreas Klappenecker.
Week 11 – Cop number of outerplanar graphs Dr. Anthony Bonato Ryerson University AM8002 Fall 2014.
Mycielski’s Construction Mycielski’s Construction: From a simple graph G, Mycielski’s Construction produces a simple graph G’ containing G. Beginning with.
Conditional Regularity and Efficient testing of bipartite graph properties Ilan Newman Haifa University Based on work with Eldar Fischer and Noga Alon.
NP-Complete Problems Reading Material: Chapter 10 Sections 1, 2, 3, and 4 only.
1 Packing directed cycles efficiently Zeev Nutov Raphael Yuster.
Lower Bounds on the Distortion of Embedding Finite Metric Spaces in Graphs Y. Rabinovich R. Raz DCG 19 (1998) Iris Reinbacher COMP 670P
Solving the Maximum Independent Set Problem for -free planar graphs Sarah Bleiler DIMACS REU 2005 Advisor: Dr. Vadim Lozin, RUTCOR.
Hypergraphs and their planar embeddings Marisa Debowsky University of Vermont April 25, 2003.
MATH 310, FALL 2003 (Combinatorial Problem Solving) Lecture 10, Monday, September 22.
Cardinality of a Set “The number of elements in a set.” Let A be a set. a.If A =  (the empty set), then the cardinality of A is 0. b. If A has exactly.
Rational and Real Numbers The Rational Numbers are a field Rational Numbers are an integral domain, since all fields are integral domains What other properties.
Week 10 – Meyniel’s conjecture Dr. Anthony Bonato Ryerson University AM8002 Fall 2014.
The Search for N-e.c. Graphs and Tournaments Anthony Bonato Ryerson University Toronto, Canada 6 th Combinatorics Lethbridge March 28, 2009.
Sequences & Summations CS 1050 Rosen 3.2. Sequence A sequence is a discrete structure used to represent an ordered list. A sequence is a function from.
CSV: Visualizing and Mining Cohesive Subgraphs Nan Wang Srinivasan Parthasarathy Kian-Lee Tan Anthony K. H. Tung School of Computing National University.
Plan Lecture 3: 1. Fraisse Limits and Their Automaticity: a. Random Graphs. a. Random Graphs. b. Universal Partial Order. b. Universal Partial Order. 2.
Infinite Limits and Limits to Infinity: Horizontal and Vertical Asymptotes.
GRAPHS CSE, POSTECH. Chapter 16 covers the following topics Graph terminology: vertex, edge, adjacent, incident, degree, cycle, path, connected component,
 期中测验时间:  11 月 4 日  课件 集合,关系,函数,基数, 组合数学.  Ⅰ Introduction to Set Theory  1. Sets and Subsets  Representation of set:  Listing elements, Set builder.
The Turán number of sparse spanning graphs Raphael Yuster joint work with Noga Alon Banff 2012.
Generalized Derangement Graphs Hannah Jackson.  If P is a set, the bijection f: P  P is a permutation of P.  Permutations can be written in cycle notation.
1 Don’t be dense, try hypergraphs! Anthony Bonato Ryerson University Ryerson.
Mycielski’s Construction Mycielski’s Construction: From a simple graph G, Mycielski’s Construction produces a simple graph G’ containing G. Beginning with.
1 The number of orientations having no fixed tournament Noga Alon Raphael Yuster.
Maximum density of copies of a graph in the n-cube John Goldwasser Ryan Hansen West Virginia University.
Testing the independence number of hypergraphs
The countable character of uncountable graphs François Laviolette Barbados 2003.
The length of vertex pursuit games Anthony Bonato Ryerson University CCC 2013.
Week 1 – Introduction to Graph Theory I Dr. Anthony Bonato Ryerson University AM8002 Fall 2014.
Fall 2015 COMP 2300 Discrete Structures for Computation Donghyun (David) Kim Department of Mathematics and Physics North Carolina Central University 1.
Mike Jacobson UCD Graphs that have Hamiltonian Cycles Avoiding Sets of Edges EXCILL November 20,2006.
Introduction to Real Analysis Dr. Weihu Hong Clayton State University 8/27/2009.
1 Quasi-randomness is determined by the distribution of copies of a graph in equicardinal large sets Raphael Yuster University of Haifa.
Discrete Mathematics Set.
GRAPHS. Graph Graph terminology: vertex, edge, adjacent, incident, degree, cycle, path, connected component, spanning tree Types of graphs: undirected,
Miniconference on the Mathematics of Computation
Introduction to Graph Theory
CS 285- Discrete Mathematics
8.5 Equivalence Relations
Chromatic Coloring with a Maximum Color Class Bor-Liang Chen Kuo-Ching Huang Chih-Hung Yen* 30 July, 2009.
Nondeterministic property testing László Lovász Katalin Vesztergombi.
Section 2.5. Cardinality Definition: A set that is either finite or has the same cardinality as the set of positive integers (Z + ) is called countable.
Approximation Algorithms Greedy Strategies. I hear, I forget. I learn, I remember. I do, I understand! 2 Max and Min  min f is equivalent to max –f.
Subgraphs Lecture 4.
Games and graphs: the legacy of RJN
The countable character of uncountable graphs François Laviolette Barbados 2003.
Miniconference on the Mathematics of Computation
What is the next line of the proof?
Approximation and Kernelization for Chordal Vertex Deletion
ICS 253: Discrete Structures I
Discrete Mathematics and its Applications Lecture 1 – Graph Theory
Discrete Mathematics and its Applications Lecture 8 – Cop-win Graphs
Miniconference on the Mathematics of Computation
Miniconference on the Mathematics of Computation
Modelling and Searching Networks Lecture 9 – Meyniel’s Conjecture
Modelling and Searching Networks Lecture 8 – Cop-win Graphs
Discrete Mathematics and its Applications Lecture 7 – Cops and Robbers
Miniconference on the Mathematics of Computation
Modelling and Searching Networks Lecture 9 – Meyniel’s Conjecture
Existence of 3-factors in Star-free Graphs with High Connectivity
Integer and fractional packing of graph families
Presentation transcript:

1 Independence densities of hypergraphs Anthony Bonato Ryerson University 2014 CMS Summer Meeting Independence densities - Anthony Bonato

Paths Independence densities - Anthony Bonato 2 … number of independent sets = F(n+2) -Fibonacci number PnPn

Stars Independence densities - Anthony Bonato 3 number of independent sets = 1+2 n independence density = 2 -n-1 +½ K 1,n …

Independence density G order n i(G) = number of independent sets in G (including ∅ ) –Fibonacci number of G id(G) = i(G) / 2 n –independence density of G Independence densities - Anthony Bonato 4

Properties if G is a spanning subgraph of H, then i(H) ≤ i(G) i(G U H) = i(G)i(H) if G is subgraph of H, then id(H) ≤ id(G) –G has an edge, then: id(G) ≤ id(K 2 ) = 3/4 id(G U H) = id(G)id(H) Independence densities - Anthony Bonato 5

Infinite graphs? Independence densities - Anthony Bonato 6

Chains Independence densities - Anthony Bonato 7

Existence and uniqueness Theorem (B,Brown,Kemkes,Pralat,11) Let G be a countably infinite graph. 1.For each chain C, id(G, C ) exists. 2.For all chains C and C ’ in G, id(G, C )=id(G, C ’). Independence densities - Anthony Bonato 8

Examples stars: id(K 1,∞ ) = 1/2 one-way infinite path: id(P ∞ ) = 0 Independence densities - Anthony Bonato 9

Bounds on id Independence densities - Anthony Bonato 10

Rationality Theorem (BBKP,11) Let G be a countable graph. 1.id(G) is rational. 2.The closure of the set {id(G): G countable} is a subset of the rationals. Independence densities - Anthony Bonato 11

Aside: other densities many other density notions for graphs and hypergraphs: –upper density –homomorphism density –Turán density –co-degree density –cop density, … Independence densities - Anthony Bonato 12

Question hereditary graph class X: closed under induced subgraphs egs: X = independent sets; cliques; triangle-free graphs; perfect graphs; H-free graphs Xd(G) = proportion of subsets which induce a graph in X –generalizes to infinite graphs via chains Is Xd(G) rational? Independence densities - Anthony Bonato 13

Hypergraphs hypergraph H = (V,E), E = hyperedges independent set: does not contain a hyperedge id(H) defined analogously –extend to infinite hypergraphs by continuity –well-defined Independence densities - Anthony Bonato 14

Examples ∅,{1},{2},{3},{4}, {1,2},{1,3},{2,3}, {1,4},{3,4}, {1,3,4} id(H) = 11/16 H

Examples, cont Independence densities - Anthony Bonato 16 … id(H) = 7/8

Hypergraph id’s examples: 1.graph, E = subsets of vertices containing a copy of K 2 –recovers the independence density of graphs 2.graph, fix a finite graph F; E = subsets of vertices containing a copy of F –F-free density (generalizes (1)). 3.relational structure (graphs, digraphs, orders, etc); F a set of finite structures; E = subsets of vertices containing a member of F –F -free density of a structure (generalizes (2)) Independence densities - Anthony Bonato 17

Bounds on id Independence densities - Anthony Bonato 18

Rationality rank k hypergraph: hyperedges bounded in cardinality by k > 0 –finite rank: rank k for some k Theorem (BBMP,14): If H has finite rank, then id(H) is rational. Independence densities - Anthony Bonato 19

Sketch of proof notation: for finite disjoint sets of vertices A and B id A,B (H) = density of independent sets containing A and not B analogous properties to id(H) = id ∅, ∅ (H) Independence densities - Anthony Bonato 20

Properties of id A,B (H) Independence densities - Anthony Bonato 21

Out-sets for a given A, B, and any hyperedge S such that S∩B = ∅, the set S \ A is the out-set of S relative to A and B –example: A B S notation: id r A,B (H) denotes that every out-set has cardinality at most r note that: id k ∅, ∅ (H) = id(H) Independence densities - Anthony Bonato 22

Claims Independence densities - Anthony Bonato 23

Final steps… Independence densities - Anthony Bonato 24

Unbounded rank Independence densities - Anthony Bonato 25 … H

Any real number case of finite, but unbounded hyperedges H unb = {x: there is a countable hypergraph H with id(H) = x} Theorem (BBMP,14) H unb = [0,1]. contrasts with rank k case, where there exist gaps such as (1-1/2 k,1) Independence densities - Anthony Bonato 26

Independence polynomials Independence densities - Anthony Bonato 27

Independence densities at x Independence densities - Anthony Bonato 28

Examples, continued Independence densities - Anthony Bonato 29

Examples, continued Independence densities - Anthony Bonato 30

Future directions classify gaps among densities for given hypergraphs rationality of closure of set of id’s for rank k hypergraphs which hypergraphs have jumping points, and what are their values? Independence densities - Anthony Bonato 31

General densities Independence densities - Anthony Bonato 32