Isometric Cycles, Cutsets, and Crowning of Bridged Graphs

Similar documents
THE LEAFAGE OF A CHORDAL GRAPH

Adjacent: Two distinct vertices u, v are adjacent if there is an edge with ends u, v. In this case we let uv denote such an edge.

Definition For vertices u, v V (G), the distance from u to v, denoted d(u, v), in G is the length of a shortest u, v-path. 1

Section 3.1: Nonseparable Graphs Cut vertex of a connected graph G: A vertex x G such that G x is not connected. Theorem 3.1, p. 57: Every connected

Math 170- Graph Theory Notes

COLORING EDGES AND VERTICES OF GRAPHS WITHOUT SHORT OR LONG CYCLES

Abstract. A graph G is perfect if for every induced subgraph H of G, the chromatic number of H is equal to the size of the largest clique of H.

Coloring edges and vertices of graphs without short or long cycles

Fundamental Properties of Graphs

Math 776 Graph Theory Lecture Note 1 Basic concepts

Two Characterizations of Hypercubes

Small Survey on Perfect Graphs

Some Upper Bounds for Signed Star Domination Number of Graphs. S. Akbari, A. Norouzi-Fard, A. Rezaei, R. Rotabi, S. Sabour.

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE

Exercise set 2 Solutions

Disjoint directed cycles

Matching Algorithms. Proof. If a bipartite graph has a perfect matching, then it is easy to see that the right hand side is a necessary condition.

Graph Theory S 1 I 2 I 1 S 2 I 1 I 2

Winning Positions in Simplicial Nim

CLAW-FREE 3-CONNECTED P 11 -FREE GRAPHS ARE HAMILTONIAN

A graph is finite if its vertex set and edge set are finite. We call a graph with just one vertex trivial and all other graphs nontrivial.

The strong chromatic number of a graph

V10 Metabolic networks - Graph connectivity

Chapter 3: Paths and Cycles

Math 443/543 Graph Theory Notes 11: Graph minors and Kuratowski s Theorem

GEODETIC DOMINATION IN GRAPHS

Contracting Chordal Graphs and Bipartite Graphs to Paths and Trees

Math 777 Graph Theory, Spring, 2006 Lecture Note 1 Planar graphs Week 1 Weak 2

Weak Dynamic Coloring of Planar Graphs

Chapter 2 Graphs. 2.1 Definition of Graphs

Hamiltonian cycles in bipartite quadrangulations on the torus

HW Graph Theory SOLUTIONS (hbovik)

Vertex 3-colorability of claw-free graphs

Two remarks on retracts of graph products

NOTE ON MINIMALLY k-connected GRAPHS

Subdivided graphs have linear Ramsey numbers

Vertex Colorings without Rainbow or Monochromatic Subgraphs. 1 Introduction

[8] that this cannot happen on the projective plane (cf. also [2]) and the results of Robertson, Seymour, and Thomas [5] on linkless embeddings of gra

On the Relationships between Zero Forcing Numbers and Certain Graph Coverings

A THREE AND FIVE COLOR THEOREM

Vertex-Colouring Edge-Weightings

Number Theory and Graph Theory

Math 778S Spectral Graph Theory Handout #2: Basic graph theory

Characterizing Graphs (3) Characterizing Graphs (1) Characterizing Graphs (2) Characterizing Graphs (4)

On vertex-coloring edge-weighting of graphs

ADJACENCY POSETS OF PLANAR GRAPHS

Discrete Applied Mathematics. A revision and extension of results on 4-regular, 4-connected, claw-free graphs

K 4 C 5. Figure 4.5: Some well known family of graphs

Bipartite Roots of Graphs

The Restrained Edge Geodetic Number of a Graph

Geodesic Convexity and Cartesian Products in Graphs

Matching and Factor-Critical Property in 3-Dominating-Critical Graphs

These notes present some properties of chordal graphs, a set of undirected graphs that are important for undirected graphical models.

arxiv: v1 [cs.ds] 8 Jan 2019

Clique trees of infinite locally finite chordal graphs

SANDRA SPIROFF AND CAMERON WICKHAM

Basic Combinatorics. Math 40210, Section 01 Fall Homework 4 Solutions

CMSC Honors Discrete Mathematics

THE INSULATION SEQUENCE OF A GRAPH

Recognizing Interval Bigraphs by Forbidden Patterns

Line Graphs and Circulants

Strong Chromatic Index of 2-Degenerate Graphs

Treewidth and graph minors

Orthogonal art galleries with holes: a coloring proof of Aggarwal s Theorem

Dirac-type characterizations of graphs without long chordless cycles

Triangle Graphs and Simple Trapezoid Graphs

Bar k-visibility Graphs

Block Duplicate Graphs and a Hierarchy of Chordal Graphs

Pebbling and Optimal Pebbling in Graphs

Applied Mathematics Letters. Graph triangulations and the compatibility of unrooted phylogenetic trees

Infinite locally random graphs

Discharging and reducible configurations

DO NOT RE-DISTRIBUTE THIS SOLUTION FILE

MC 302 GRAPH THEORY 10/1/13 Solutions to HW #2 50 points + 6 XC points

Problem Set 3. MATH 776, Fall 2009, Mohr. November 30, 2009

DISTINGUISHING NUMBER AND ADJACENCY PROPERTIES

Collapsible biclaw-free graphs

Lecture 5: Graphs. Rajat Mittal. IIT Kanpur

Subdivisions of Graphs: A Generalization of Paths and Cycles

Discrete mathematics

On Sequential Topogenic Graphs

Network flows and Menger s theorem

Lecture 6: Graph Properties

On Rainbow Cycles in Edge Colored Complete Graphs. S. Akbari, O. Etesami, H. Mahini, M. Mahmoody. Abstract

Pebble Sets in Convex Polygons

DISTINGUISHING NUMBER AND ADJACENCY PROPERTIES

Coloring Squared Rectangles

THE RESTRAINED EDGE MONOPHONIC NUMBER OF A GRAPH

Total Acquisition in Graphs

Lecture 8: PATHS, CYCLES AND CONNECTEDNESS

A New Game Chromatic Number

Math 443/543 Graph Theory Notes 2: Transportation problems

Fast Skew Partition Recognition

The Structure of Bull-Free Perfect Graphs

WORM COLORINGS. Wayne Goddard. Dept of Mathematical Sciences, Clemson University Kirsti Wash

The Edge Fixing Edge-To-Vertex Monophonic Number Of A Graph

Connecting face hitting sets in planar graphs

Chordal deletion is fixed-parameter tractable

Graphs associated to CAT(0) cube complexes

arxiv: v2 [math.co] 25 May 2016

Transcription:

Isometric Cycles, Cutsets, and Crowning of Bridged Graphs Tao Jiang, 1 Seog-Jin Kim, 2 and Douglas B. West 3 1 DEPARTMENT OF MATHEMATICS AND STATISTICS MIAMI UNIVERSITY OXFORD, OHIO 45056 E-mail: jiangt@muohio.edu 2 DEPARTMENT OF MATHEMATICS UNIVERSITY OF ILLINOIS URBANA, ILLINOIS 61801 E-mail: skim12@math.uiuc.edu 3 DEPARTMENT OF MATHEMATICS UNIVERSITY OF ILLINOIS URBANA, ILLINOIS 61801 E-mail: west@math.uiuc.edu Received June 11, 2001; Revised December 6, 2002 DOI 10.1002/jgt.10110 Abstract: A graph G is bridged if every cycle C of length at least 4 has vertices x; y such that d G (x; y) < d C (x; y). A cycle C is isometric if d G (x; y) ¼ d C (x; y) for all x; y 2 V (C). We show that every graph contractible to a graph with girth g has an isometric cycle of length at least g. We use this to show that every minimal cutset S in a bridged graph G induces a connected subgraph. We introduce a crowning construction to enlarge ß 2003 Wiley Periodicals, Inc.

162 JOURNAL OF GRAPH THEORY bridged graphs. We use this to construct examples showing that for every connected simple graph H with girth at least 6 (including trees), there exists a bridged graph G such that G has a unique minimum cutset S and that G[S] ¼ H. This provides counterexamples to Hahn s conjecture that d G (u; v) 2 when u and v lie in a minimum cutset in a bridged graph G.We also study the convexity of cutsets in bridged graphs. ß 2003 Wiley Periodicals, Inc. J Graph Theory 43: 161 170, 2003 Keywords: bridged graph; chordal graph; cutset; isometric cycle; convex subgraph; crowning 1. INTRODUCTION A graph G is chordal if every cycle of length at least 4 has a chord, where a chord of a cycle is an edge not in the cycle with endpoints on the cycle. A subgraph H of a graph G is isometric if d H ðx; yþ ¼d G ðx; yþ for all x; y 2 VðHÞ, where d H ðx; yþ denotes the distance between x and y in H. A graph G is bridged if it has no isometric cycles of length at least 4. Given a cycle C in G and two vertices x; y on C, anx; y-bridge of C is an x; y-path in G of length less than d C ðx; yþ that is internally disjoint from C. (In [5], this is called a proper bridge, and it is observed that the existence of proper bridges is equivalent to the definition of bridged graph given there.) Other look on bridged graphs appears in [1 7]. All our graphs are simple graphs. A cutset or separating set of a graph G is a set S VðGÞ such that G S has more than one component. The girth of a graph with a cycle is the length of a shortest cycle. A graph with no cycle has infinite girth. Since a chord is a bridge of length 1, the family of bridged graphs contains the family of chordal graphs. It is well known that every minimal cutset of a chordal graph induces a complete subgraph. In seeking to generalize properties of chordal graphs, we study minimal cutsets of bridged graphs. In Section 3, we show that every minimal cutset in a bridged graph induces a connected subgraph. In Section 4, we study which graphs can occur as subgraphs induced by minimum cutsets, motivated by Jamison s suggestion of exploring the relationship between cutsets and convexity in bridged graphs. For every connected simple graph H with girth at least 6 (including trees), we construct a bridged graph G such that G has a unique minimum cutset S and G½SŠ ¼H. It remains open whether the construction can be extended to all H that satisfy the necessary condition of having no induced cycle of length 4 or 5 (a bridge of a cycle of length 4 or 5 must be a chord). Motivated by his negative answer to Aharoni s question of whether minimum cutsets in bridged graphs must be convex, Hahn [6] conjectured that d G ðu; vþ 2 when u and v lie in a minimum cutset in a bridged graph G. In Section 4, we provide counterexamples, constructing, for each k, a bridged graph such that the minimum cutset is unique and is convex and induces a path of length k. (A set

ISOMETRIC CYCLES AND BRIDGED GRAPHS 163 S VðGÞ is convex if all shortest paths joining vertices of S are contained in G½SŠ.) Furthermore, each cycle with length at least 4 in this graph has a bridge of length at most 2. Thus imposing the additional restriction that bridges have length at most 2 still will not guarantee that the diameter of a minimum cutset is bounded. Norbert Polat independently also found counterexamples to Hahn s conjecture. 2. COLLAPSIBLE WALKS A walk of length k is an alternating list v 0 ; e 1 ; v 1 ;...; e k ; v k of vertices and edges such that the endpoints of each edge e i are v i 1 and v i. In a simple graph, a walk can be specified by its ordered list of vertices alone. We name walks in this way. A trail is a walk with no repeated edge. A u; v-walk is a walk with first vertex u and last vertex v. Itisclosed if u ¼ v. Listing the vertices and edges of a cycle in order yields a closed trail of length at least 1 in which first ¼ last is the only vertex repetition. We use the term ordered cycle to describe a walk that follows a cycle, starting and ending at the same vertex. A walk W contains a walk W 0 (such as an ordered cycle) if the vertices and edges of W 0 occur in order in W (with the edges occurring in the proper direction). Definition 2.1. Given a walk W, an (elementary) reduction of W is the replacement of consecutive vertices x; y; x (and the intervening edge repetition) with the single vertex x. A walk is collapsible if it can be reduced to a single vertex by elementary reductions. A walk is irreducible if no reduction can be performed on it. A subwalk of a walk W is a walk obtained from W by applying (0 or more) reductions. Every collapsible walk is a closed walk. The converse is false, since every ordered cycle is irreducible. Our applications involve distance in graphs, but collapsible walks have also been applied by Imrich [7] to obtain elementary proofs of several theorems in combinatorial group theory. Lemma 2.2. Every walk has a unique irreducible subwalk obtainable by reductions. Proof. We use induction on the length of the walk W.IfW has length at most 1 or is irreducible, then the claim holds. If there is a unique elementary reduction available, then the claim follows by the induction hypothesis. Otherwise, there are at least two reductions available. Any two reductions may be intertwined (x; y; x; y), or independent (x; y; x and z; w; z in parts of W sharing no steps). In the first case, both elementary reductions yield the same subwalk. In the second case, the two reductions yield different subwalks W 1 and W 2. By the induction hypothesis, each has a unique irreducible subwalk. To obtain this subwalk, we can begin by performing the other of the two specified reductions.

164 JOURNAL OF GRAPH THEORY This yields the same subwalk with length 4 less than W. Hence the unique irreducible subwalks of W 1 and W 2 are the same. We have shown that the irreducible subwalk obtained by the reduction process does not depend on the choice of the first reduction, and hence by the induction hypothesis it is unique. Corollary 2.3. If W 0 is obtained from W by an elementary reduction, then W 0 is collapsible if and only if W is collapsible. Proof. By Lemma 2.2, the unique irreducible subwalk of W is obtained by reducing W 0. Lemma 2.4. If a closed walk contains no ordered cycle, then it is collapsible. Proof. We use induction on the length of the walk. If the length is 0, then the walk is already collapsed. For the induction step, let W be a closed walk of positive length. Consider the first position in the list where a vertex occurs for the second time. Since W contains no ordered cycle, this repetition must be an immediate return along the edge just used. We perform the elementary reduction to eliminate this edge repetition and obtain a subwalk W 0. Since W 0 is a subwalk of W, it contains no ordered cycle. By the induction hypothesis, it is collapsible, and hence W is collapsible. It is natural to think that a closed walk is collapsible if and only if it contains no ordered cycle. However, the condition is not necessary, as shown by the vertex list v; w; v; x; w; x; v, which contains the ordered cycle w; v; x; w. A walk that starts at a vertex v can be concatenated with a walk that ends at v by appending it without its first vertex. Lemma 2.5. Suppose that P is an x; y-walk and Q is a y; x-walk. If P and Q are irreducible and the concatenation (P followed by Q) is collapsible, then Q is the reverse of P. Proof. Since the concatenation PQ is collapsible, we can apply an elementary reduction to it. Since no such reduction is possible within P or Q, the reduction must be at w; y; w, where y is the end of P and start of Q. Hence Q begins with the edge on which P ends. Since every consecutive portion of an irreducible walk is irreducible, iterating this argument shows that Q is the reverse of P. Corollary 2.6. Let A, B, and P be x; y-walks. Let P 0 and B 0 denote the reverse of P and B, respectively. If the concatenations AP 0 and PB 0 are both collapsible, then AB 0 is also collapsible. Proof. By Corollary 2.3, we may assume that A, B, and P are irreducible. Lemma 2.5 now implies that A ¼ P and P ¼ B. Hence A ¼ B, and AB 0 is collapsible.

ISOMETRIC CYCLES AND BRIDGED GRAPHS 165 3. ISOMETRIC CYCLES When we contract an edge in a simple graph, we delete any resulting extra copies of edges. Definition 3.1. A simple graph G is contractible to a simple graph H if H can be obtained from G by contracting edges of G. Given a partition of VðGÞ into subsets V 1 ;...; V m inducing connected subgraphs, we use G V1 ;...;V m to denote the simple graph obtained from G by contracting all edges within each G½V i Š. If G is contractible to H, then H ¼ G V1 ;...;V p for some partition V 1 ;...; V p of VðGÞ. Theorem 3.2. If G is a graph that is contractible to a graph H with finite girth g, then G contains an isometric cycle with length at least g. Proof. Since G is contractible to H, wehaveh ¼ G V1 ;...;V m for some partition V 1 ;...; V m of VðGÞ. Let v 1 ;...; v m be the corresponding vertices in H. For a cycle C in G, let WðCÞ denote the image of C in H under the contraction; WðCÞ is a closed walk in H. Let T be the set of cycles in G whose image in H is irreducible. We first show that T is nonempty. Let L be an ordered cycle in H. Without loss of generality, let L have vertices v 1 ;...; v q in order. For j 2f1;...; qg, there is an edge x 0 j x00 jþ1 in G with x0 j 2 V j and x 00 jþ1 2 V jþ1 (subscripts taken modulo q). For j 2f1;...; qg, let P j be a path in G½V j Š connecting x 0 j and x 00 j ; these paths exist since each G½V j Š is connected. Now C 0 ¼ S q j¼1 ðp i [ x 0 j x00 jþ1þ is a cycle in G with WðC 0 Þ¼L. Since L is irreducible, C 0 2T. Thus, T is nonempty. Next, we show that every cycle in T has length at least g. IfC is a cycle of length less than g in G, then WðCÞ is a closed walk of length less than g in H. Since H has girth g, WðCÞ is a closed walk in H that contains no cycle. By Lemma 2.4, WðCÞ is reducible, and so C =2T. Now let C be a cycle in T of minimum length. It suffices to show that C is isometric. If not, then C has a bridge P from some vertex x to some vertex y. Let A and B denote the x; y-paths on C. Since A, B, and P are paths, they are irreducible as walks. Since AP 0 and PB 0 are cycles shorter than C, they are not in T, and hence their images are collapsible. Corollary 2.6 now implies that WðC Þ is reducible, which contradicts C 2T. A graph G is triangle-free if it does not contain K 3. Since a bridged graph has no isometric cycle of length at least 4, we have the following corollary from the theorem. Corollary 3.3. If G is a bridged graph, then G is not contractible to any triangle-free graph that contains a cycle. Corollary 3.4. If G is a bridged graph and S is a minimal cutset of G, then G½SŠ is connected. Proof. Let A 1 ;...; A p denote the components of G½SŠ, and let B 1 ;...; B q denote the components of G S. Since S is a cutset, q 2. Since S is a minimal

166 JOURNAL OF GRAPH THEORY cutset, G A1 ;...;A p ;B 1 ;...;B q is the complete bipartite graph K p;q. By Corollary 3.3, p ¼ 1. 4. MINIMAL CUTSETS IN BRIDGED GRAPHS It is well known that a graph G is a chordal graph if and only if every minimal cutset of G induces a complete subgraph. In light of this, it is natural to ask whether a minimal cutset of a bridged graph must also have a restricted structure. It is perhaps surprising how little restriction there is. In this section, we show that for every connected simple graph H with girth at least 6 (including trees), there exists a bridged graph G such that G has a unique minimum cutset S and G½SŠ ¼H. Note that the exclusion of induced cycles of lengths 4 and 5 is necessary, since cycles of these lengths in bridged graphs must have chords. It remains open whether our result extends to all graphs having no induced 4-cycles or 5-cycles. Our result was motivated both by Hahn s conjecture and by the issue of convexity in bridged graphs, studied by Farber and Jamison [5]. An induced subgraph H in a graph G is convex if for any pair u; v 2 VðHÞ, every shortest u; v-path in G lies completely in H. IfH is a convex subgraph of G, then d H ðu; vþ ¼d G ðu; vþ for all u; v 2 VðHÞ. IfG is a bridged graph and H is an induced cycle in G of length at least 6, then H is not a convex subgraph of G. Hence our construction shows that minimum cutsets cannot be guaranteed to be convex. On the other hand, when H is a tree we do obtain a bridged graph having a unique minimum cutset that is convex and induces a subgraph isomorphic to H. Definition 4.1. Given a graph G and a vertex v in G, duplicating v means adding a new vertex v 0 and making it adjacent to v and to all the neighbors of v in G. Lemma 4.2. If G 0 is obtained from a bridged graph G by duplicating a vertex v, then G 0 is also bridged. Furthermore, if x; y 2 VðGÞ v, then d G 0ðx; yþ ¼ d G ðx; yþ. Proof. Let v 0 be the vertex added to duplicate v. Let C be a cycle of length at least 4 in G 0.IfVðCÞ contains at most one of v and v 0, then C is a copy of a cycle in G and has in G 0 a copy of each bridge of that cycle in G. If v and v 0 are both in VðCÞ but not consecutive on C, then vv 0 is a chord of C and hence is a bridge of C. Ifv and v 0 are consecutive on C, then the neighbors of these vertices on C are adjacent to both v and v 0 in G 0 ; this again yields chords. For the second statement, a shortest x; y-path in G 0 cannot contain both v and v 0 ; this would yield a chord. If it contains v 0, then replacing v 0 with v yields an x; y-path in G of the same length. Construction 4.3. Let G be a graph and H be a subgraph of G. The operation of crowning H in G produces a graph G? H from G in two steps as follows:

ISOMETRIC CYCLES AND BRIDGED GRAPHS 167 Step (1) For each xy 2 EðHÞ, add a new vertex a xy adjacent to x and y. Step (2) For each u 2 VðHÞ, add a new vertex u 0 adjacent to u and to each a uv such that uv 2 EðHÞ. (In this construction, we call u the parent of u 0.) In G? H, we call vertices from G Type 0 vertices, vertices added in Step 1 Type 1 vertices, and vertices added in Step 2 Type 2 vertices (see Fig. 1). Remark 4.4. If H is a connected subgraph of G, then the subgraph of G? H induced by the vertices of Types 1 and 2 introduced by crowning H is also connected. We use lðpþ to denote the length of a path P. Lemma 4.5. If G is a bridged graph, and H is a triangle-free subgraph of G, then G? H is also bridged. Furthermore, if u; v 2 VðGÞ, then d G?H ðu; vþ ¼ d G ðu; vþ. Also, if H is convex in G, then H is convex in G? H. Proof. Let G 0 ¼ G? H, and let C 0 be a cycle of length at least 4 in G 0.We show that C 0 has a bridge in G 0. Since the addition of a vertex whose neighborhood is a clique introduces no chordless cycle, the graph obtained after Step 1 is bridged. Hence we may assume that C 0 has at least one Type 2 vertex. Also, every cycle of length at least 4 containing both a Type 2 vertex and its parent has a chord, so we may exclude this possibility. We create from C 0 a cycle C in G. First replace each Type 2 vertex with its parent (a Type 0 vertex). Since the neighborhood of a Type 2 vertex is contained in the neighborhood of its parent, and since C 0 does not contain both a Type 2 vertex and its parent, the result is a cycle C 1. Now form C by dropping each Type 1 vertex from C 1. Since the neighborhood of each Type 1 vertex among Type 1 and Type 0 vertices consists of the two endpoints of the edge that generated it, each such change merely shortens the cycle by one step, and C is a cycle in G. The difference between the lengths of C 0 and C is the number of Type 1 vertices that have been deleted (see Fig. 1). FIGURE 1. Crowning a path H in G.

168 JOURNAL OF GRAPH THEORY Since C 0 uses at least one Type 2 vertex and H is triangle-free, C has length at least 4. Thus C has a bridge P in G. Let u and v be the endpoints of P, and let A and B be the u; v-paths on C. Note that P is shorter than both A and B. Note that VðC 0 Þ contains one of fu; u 0 g and one of fv; v 0 g. Let A 0 and B 0 be the portions of C 0 from fu; u 0 g to fv; v 0 g, corresponding to A and B, respectively. Let r ¼jfu 0 ; v 0 g\vðc 0 Þj. Since each Type 2 vertex on C 0 is immediately preceded and followed by Type 1 vertices, we have lða 0 ÞlðAÞþr and lðb 0 ÞlðBÞþr. This allows us to obtain a bridge of C 0 by extending P to fu 0 ; v 0 g at each end where C 0 contains the Type 2 vertex rather than its parent. The resulting path P 0 has length lðpþþr, and hence it is shorter than A 0 and B 0. To prove the second statement, consider u; v 2 VðGÞ, and let Q 0 be a shortest u; v-path in G 0. We apply essentially the same construction. We may assume that if Q 0 contains a Type 2 vertex w 0, then Q 0 does not contain its parent w; otherwise Q 0 has a chord. We now replace Type 2 vertices in Q 0 by their parents and skip the Type 1 vertices. As in the comparison of C 0 and C above, this produces a u; v-path Q that is no longer than Q 0. Furthermore, if Q 0 contains a vertex of Type 1 or 2, then Q is strictly shorter than Q 0, which yields the final statement. Lemmas 4.2 and 4.5 yield the main results in this section. Theorem 4.6. If H is a connected graph with girth at least 6(including trees), then there exists a bridged graph G with a minimal cutset S such that G½SŠ ¼H. Furthermore, if H is a tree, then also G½SŠ is convex in G. Proof. Case 1: H is not a tree (see Fig. 2 left). Form G 1 from H by adding a single vertex w adjacent to all of VðHÞ. All cycles in G 1 have bridges involving w, so G 1 is bridged. Now, let G ¼ G 1? H. By Lemma 4.5, G is bridged. By Remark 4.4, the subgraph F induced by the vertices of Types 1 and 2 is connected. Let S ¼ VðHÞ. The set S is a cutset of G, with G S consisting of two components, fwg and F. Furthermore, each vertex of S has neighbors in both fwg and F, sos is a minimal cutset. Finally, G is constructed so that G½SŠ ¼H. Case 2: H is a tree (see Fig. 2 right). Every tree is a bridged graph. Let G 1 ¼ H? H, and let F 1 denote the subgraph of G 1 induced by the vertices of Types 1 and 2. As in Case 1, G 1 is bridged and F 1 is connected. Now, let G ¼ G 1? H, and let F 2 denote the subgraph of G induced by the vertices of Types FIGURE 2. Constructions for H ¼ C 6 and H ¼ P 3.

ISOMETRIC CYCLES AND BRIDGED GRAPHS 169 1 and 2 introduced by crowning H. As before, G is bridged and F 2 is connected. Letting S ¼ VðHÞ, again S is a minimal cutset of G, with F 1 and F 2 being the two components of G S. By the last part of Lemma 4.5, each crowning operation preserves convexity. Corollary 4.7. If H is a connected graph with girth at least 6(including trees), then there exists a bridged graph G such that G has a unique minimum cutset S and that G½SŠ ¼H. Furthermore, if H is a tree, then also G½SŠ is convex in G. Proof. Let S ¼ VðHÞ. Let G 0 be the graph constructed in Theorem 4.6. Duplicate each vertex created in forming G 0 from H at least m times, where m > jsj. By Lemma 4.2, the resulting graph G is bridged. Since duplicating a vertex increases the minimum size of a separating set containing it, S is the unique minimum cutset in G. The other claims follow from the statement of Theorem 4.6. Corollary 4.7 immediately yields counterexamples to the conjecture that motivated our investigation (see Fig. 3). Conjecture 4.8. (G. Hahn [6]). If u and v are vertices of a minimum cutset in a bridged graph G, then d G ðu; vþ 2. To obtain counterexamples, apply Corollary 4.7 with H ¼ P k. The unique minimum cutset S k of the resulting graph G k induces the path P k of length k 1. Furthermore, since S k is convex in G k, the distance between two vertices in S k is the same in the k-connected graph G k as in G k ½S k Š, and it can be as large as k 1. Note also that in G k every cycle of length at least 4 has a bridge of length at most 2. One may consider generalizing the definition of bridged graphs as follows. For a positive integer d, a graph G is d-bridged if every cycle of length at least 4 in G has a bridge of length at most d in G. Thus the 1-bridged graphs are the chordal graphs. The graphs G k constructed above are 2-bridged graphs. Thus Conjecture 4.8 fails even in the class of 2-bridged graphs. Finally, we remark that the crowning operation can be generalized to produce larger classes of bridged graphs. For example, omitting any subset of the Type 2 vertices will still produce a bridged graph. FIGURE 3. Minimum cutsets with vertices at large distance.

170 JOURNAL OF GRAPH THEORY REFERENCES [1] R. P. Anstee and M. Farber, On bridged graphs and cop-win graphs, J Combin Theory Ser B 44 (1988), 22 28. [2] V. Chepoi, Bridged graphs are cop-win graphs: An algorithmic proof, J Combin Theory Ser B 69 (1997), 97 100. [3] M. Farber, On diameters and radii of bridged graphs, Discrete Math 73 (1989), 249 260. [4] M. Farber, Bridged graphs and geodesic convexity, Discrete Math 66 (1987), 249 257. [5] M. Farber and R. E. Jamison, On local convexity in graphs, Discrete Math 66 (1987), 231 247. [6] G. Hahn, Cutsets in bridged graohs, Problem 317 (BCC16.4), Discrete Math 197/198 (1999), 800. [7] W. Imrich, Subgroup theorems and graphs, Lecture Notes in Math, Vol 622, Springer, Berlin, 1977, pp. 1 27.