1 A survey of ascending subgraph decomposition 胡維新.

Slides:



Advertisements
Similar presentations
Long cycles, short cycles, min-degree subgraphs, and feedback arc sets in Eulerian digraphs Raphael Yuster joint work with Asaf Shapira Eilat 2012.
Advertisements

Covers, Dominations, Independent Sets and Matchings AmirHossein Bayegan Amirkabir University of Technology.
Chapter 8 Topics in Graph Theory
Lecture 5 Graph Theory. Graphs Graphs are the most useful model with computer science such as logical design, formal languages, communication network,
Edge-connectivity and super edge-connectivity of P 2 -path graphs Camino Balbuena, Daniela Ferrero Discrete Mathematics 269 (2003) 13 – 20.
22C:19 Discrete Math Graphs Fall 2014 Sukumar Ghosh.
MCA 520: Graph Theory Instructor Neelima Gupta
Introduction to Line Graphs Emphasizing their construction, clique decompositions, and regularity.
From Topological Methods to Combinatorial Proofs of Kneser Graphs Daphne Der-Fen Liu 劉 德 芬 Department of Mathematics California State University, Los Angeles.
Edge-Coloring of Graphs On the left we see a 1- factorization of  5, the five-sided prism. Each factor is respresented by its own color. No edges of the.
Chapter 9 Connectivity 连通度. 9.1 Connectivity Consider the following graphs:  G 1 : Deleting any edge makes it disconnected.  G 2 : Cannot be disconnected.
On Subdivision Graphs which are 2-steps Hyperhamiltonian graphs and Hereditary non 2-steps Hamiltonian graphs Sin-Min Lee, San Jose State University Hsin-hao.
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.
The number of edge-disjoint transitive triples in a tournament.
1 黃國卿 靜宜大學應用數學系. 2 Let G be an undirected simple graph and H be a subgraph of G. G is H-decomposable, denoted by H|G, if its edge set E(G) can be decomposed.
Graph Theory Ming-Jer Tsai. Outline Text Book Graph Graph Theory - Course Description The Topics in the Class Evaluation.
Vertex Cut Vertex Cut: A separating set or vertex cut of a graph G is a set S  V(G) such that G-S has more than one component. a b c d e f g h i.
What is the first line of the proof? a). Assume G has an Eulerian circuit. b). Assume every vertex has even degree. c). Let v be any vertex in G. d). Let.
What is the next line of the proof? a). Let G be a graph with k vertices. b). Assume the theorem holds for all graphs with k+1 vertices. c). Let G be a.
Definition Hamiltonian graph: A graph with a spanning cycle (also called a Hamiltonian cycle). Hamiltonian graph Hamiltonian cycle.
Vertex Cut Vertex Cut: A separating set or vertex cut of a graph G is a set SV(G) such that S has more than one component. Connectivity of G ((G)): The.
Is the following graph Hamiltonian- connected from vertex v? a). Yes b). No c). I have absolutely no idea v.
Definition Dual Graph G* of a Plane Graph:
Multicolored Subgraphs in an Edge Colored Graph Hung-Lin Fu Department of Applied Mathematics NCTU, Hsin Chu, Taiwan
MCA 520: Graph Theory Instructor Neelima Gupta
EDGE-DISJOINT ISOMORPHIC MULTICOLORED TREES AND CYCLES IN COMPLETE GRAPHS 應數 吳家寶.
Vertex Cut Vertex Cut: A separating set or vertex cut of a graph G is a set SV(G) such that G-S has more than one component. d f b e a g c i h.
Subdivision of Edge In a graph G, subdivision of an edge uv is the operation of replacing uv with a path u,w,v through a new vertex w.
Summing degree sequences work out degree sequence, and sum.
Lecture 5.2: Special Graphs and Matrix Representation CS 250, Discrete Structures, Fall 2013 Nitesh Saxena Adopted from previous lectures by Zeph Grunschlag.
Trees and Distance. 2.1 Basic properties Acyclic : a graph with no cycle Forest : acyclic graph Tree : connected acyclic graph Leaf : a vertex of degree.
4.1 Connectivity and Paths: Cuts and Connectivity
Packing Graphs with 4-Cycles 學生 : 徐育鋒 指導教授 : 高金美教授 2013 組合新苗研討會 ( ~ ) 國立高雄師範大學.
1 CS104 : Discrete Structures Chapter V Graph Theory.
1 Rainbow Decompositions Raphael Yuster University of Haifa Proc. Amer. Math. Soc. (2008), to appear.
Chapter 1 Fundamental Concepts Introduction to Graph Theory Douglas B. West July 11, 2002.
Planar Graphs Graph Coloring
On the Edge Balance Index of Flux Capacitor, Centipede, L-Product Graphs Abstract- Let G be a graph with vertex set V (G) and edge set E(G), and let Z.
1 Decomposition into bipartite graphs with minimum degree 1. Raphael Yuster.
A Survey on the 3-Decomposition Conjecture Arthur Hoffmann-Ostenhof, Technical University of Vienna Pilsen, 2015.
5.8 Graph Matching  Example: Set of worker assign to a set of task  Four tasks are to be assigned to four workers.  – Worker 1 is qualified to do tasks.
Graph Theory and Applications
Mutually independent Hamiltonian cycles on Cartesian product graphs Student: Kai-Siou Wu ( 吳凱修 ) Adviser: Justie Su-Tzu Juan 1National Chi Nan University.
The four colour theorem
Introduction to Graph Theory
COMPSCI 102 Introduction to Discrete Mathematics.
Xuding Zhu National Sun Yat-sen University Circular chromatic index.
Trees.
Graphs. Representations of graphs : undirected graph An undirected graph G have five vertices and seven edges An adjacency-list representation of G The.
Unsolved Problems in Graph Decompositions
Outline 1 Properties of Planar Graphs 5/4/2018.
Lecture 5.2: Special Graphs and Matrix Representation
Graphs Hubert Chan (Chapter 9) [O1 Abstract Concepts]
Cycles and Paths vs functions
Chapter 5 Fundamental Concept
Graph theory Definitions Trees, cycles, directed graphs.
Tucker, Applied Combinatorics, Sec 2.4
Acyclic List Edge Coloring of Graphs
Discrete Math II Howon Kim
Student:連敏筠 Advisor:傅恆霖
5.4 T-joins and Postman Problems
Rainbow Graph Designs Hung-Lin Fu (傅 恒 霖)
Multicolored Subgraphs in an Edge Colored Graph
Miniconference on the Mathematics of Computation
Existence of 3-factors in Star-free Graphs with High Connectivity
Gaph Theory Planar Graphs
GRAPH THEORY Properties of Planar Graphs Ch9-1.
Concepts of Computation
Treewidth meets Planarity
GRAPH THEORY Properties of Planar Graphs Ch9-1.
Presentation transcript:

1 A survey of ascending subgraph decomposition 胡維新

2 Abstract A graph G with edges is said to have an ascending subgraph decomposition if its edge set can be decomposed into n sets E 1, E 2, …, E n such that for i=1, 2, …, n and each E i induces a subgraph G i such that G i is isomorphic to a subgraph of G i+1 for i=1, 2, …, n-1. Here we will introduce some results of the ASD conjecture.

3 In 1987, Paul Erdös and the others posed the following conjecture. Ascending Subgraph Decomposition Conjecture : Let G be a graph on edges where 0≤t≤n then E(G) can be partitioned into n set E 1, E 2, …, E n which induce G 1, G 2, …, G n such that |E(G i )| < |E(G i+1 )| and G i is isomorphic to a subgraph of G i+1 (denoted by G i ≤ G i+1 ) for i=1, 2, …, n-1. G 1, G 2, …, G n are the members of the ASD. Usually, we let |E(G i )|=i for i=1, 2, …, n-1 and |E(G n )|=n+t, hence only the case when |E(G)|= is considered except for some special class of graph.

4 G1G1 G2G2 G3G3 G4G4 G5G5 Example: 15=

5 Three directions in dealing with the ASD problem (1) |V(G)|≤n+3 (2) (3) Special classes of graphs : split graphs, complete t-partite graphs, forests, regular graphs

6 Theorem 1.1 The complete graph K n+1 has an ASD with each member a star (a path or mixed).

7 Theorem 1.2 Let G be a graph on edges and |V(G)|=n+2 then G has an ASD with each member a star. Proof : n ≤ Δ( G) ≤ n+1 Case 1 Δ( G) =n : G=G’ union S n (n edges) then delete S n and G’ by induction.... G’ SnSn

8 Case 2 Δ( G) =n+1 : G=G’union S n+1 (n+1 edges) then delete the star and union by induction. Let the member G i containing the red edge receive an edge of the S n+1 to form a star then we have an ASD with each member a star.... G’ S n+1

9 Example

10 Theorem 1.3 Let G be a graph on edges and |V(G)|=n+3 then G has an ASD with each member a T i for i=1, 2, …, n.(T i is a star union a leg) Proof : Similar to Theorem 1.2 and consider four cases according to Δ(G) =n-1, n, n+1 or n+2 we could have an ASD with each member a T i.... … … T1T1 T2T2 TnTn

11 S n-1... G’ Case 1 Δ(G) =n-1

12 SnSn G’... Case 2 Δ(G) =n

13 Case 3 Δ(G) =n+1 (assume S n+ 1 G’... is in )

14 Case 4 Δ(G) =n+2 Then similar to Case 1, 2, 3 G\T n-k+1 can be decomposed into G n, G n-1, …, G 1 except G n-k+1

15 Theorem 2.1 If a graph G has edges, and Δ(G)<, then G has an ASD. Theorem 2.2 If a graph G has edges, and Δ(G) ≤, then G has an ASD with each a member a matching. Proof : Step 1 : Partitioned the edge set of G into k matchings (k=n/2 or (n+1)/2 according to k is even or odd) M 1, M 2, …,M k where |M 1 |=|M 2 |= … =|M k | Step 2 : Split M i into G i and G n+1-i for i=1, 2, …, n/2 when n is even. Split M i into G i and G n-i for i=1, 2, …, (n-1)/2 when n is odd.

16 Example : |E(G)|= and then G is 5 edge-colorable. G 10 G8G8 G9G9 G6G6 G7G7 G4G4 G5G5 G2G2 G3G3 G1G1 11=1+1011=2+911=3+811=4+711=5+6 G i =a matching of size i for i=1, 2, …, 10

17 Theorem 3.1 Any split graph on edges has an ASD. v Complete graph Null graph... Proof : Delete a star of n edges from the edges from the edges incident to v (the edges between null graph and complete graph first) and the by induction.

18 Example : |E(G)|=

19 Theorem 3.2 Any r-regular graph G on edges where t < n, has an ASD. Proof : Case 1. r ≤ n/2, then by Thm 2.2 with each member a matching. Case 2. n/2<r ≤2n/3 : Case 3. 2n/3<r<v/2: Case 4. r≥v/2. Peel off Hamiltonian cycles from the graph until the remaining valency r’<v/2 and the members G i would be linear forest.

20...

21 Theorem 3.3 Any forest on on with each member a star forest. edges has an ASD

22 Case 1 exists small branches with at least n edges Example : n=10

23 Case 2 exists a big star with more than edges 1

24 Case 3 exists at least two stars with size at least n k

25 Theorem 3.4 Any complete multipartite graph has an ASD with each member a star or a double star or a pregnant star. Double star Pregnat star

26

27