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LexBFS-orderings of distance-hereditary graphs with application to the diametral pair probl

LexBFS-orderings of distance-hereditary graphs with application to the diametral pair probl
LexBFS-orderings of distance-hereditary graphs with application to the diametral pair probl

Discrete Applied Mathematics98(2000)191–207

LexBFS-orderings of distance-hereditary graphs with application to the diametral pair problem

Feodor F.Dragan a;?,Falk Nicolai b

a Universit a t Rostock,Fachbereich Informatik,A.Einstein Strasse21,D18051Rostock,Germany

b Kl o renstr.32,D46045Oberhausen,Germany

Received21July1997;revised18March1999;accepted5April1999

Abstract

For an undirected graph G the k th power G k of G is the graph with the same vertex set as G where two vertices are adjacent i their distance is at most k in G.In this paper we prove that every LexBFS-ordering of a distance-hereditary graph is both a common perfect elimination ordering of all even powers and a common semi-simplicial ordering of all powers of this graph. Moreover,we characterize those distance-hereditary graphs by forbidden subgraphs for which every LexBFS-ordering of the graph is a common perfect elimination ordering of all powers. As an application we present an algorithm which computes the diameter and a diametral pair of vertices of a distance-hereditary graph in linear time.?2000Elsevier Science B.V.All rights reserved.

Keywords:Distance-hereditary graphs;LexBFS-ordering;Perfect elimination ordering;Metric power;Diameter;Linear-time algorithm

1.Introduction

In recent years some papers investigating powers of certain graphs were published. One of the?rst results in this?eld is due to Duchet[10]:If G k is chordal then G k+2 is so.In particular,odd powers of chordal graphs are chordal,whereas even powers of chordal graphs are in general not chordal.In[1]it was shown that even powers of distance-hereditary graphs are chordal and odd powers do not contain a house,hole or domino as induced subgraph,i.e.they are HHD-free.

It is well known that every chordal graph has a perfect elimination ordering.Thus each chordal power of an arbitrary graph has a perfect elimination ordering.A nat-ural question is whether there is a common perfect elimination ordering of all(or First author supported by DFG and VW,Project No.I=69041,second author supported by DFG.

?Corresponding author.

E-mail addresses:dragan@informatik.uni-rostock.de(F.F.Dragan),falk.nicolai@t-online.de(F.Nicolai)

0166-218X/00/$-see front matter?2000Elsevier Science B.V.All rights reserved.

PII:S0166-218X(99)00157-2

192 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

some)chordal powers of a given graph.The?rst result in this direction using mini-

mal separators is given in[9]:If both G and G2are chordal then there is a common

perfect elimination ordering of these graphs.The existence of a common perfect elim-ination ordering of all chordal powers of an arbitrary given graph was proved in[4].

Such a common ordering can be computed in time O(|V||E|)using a generalized

version of Maximum Cardinality Search whichsimultaneously uses chordality of these

powers.

As shown in[18]lexicographic breadth-?rst-search(LexBFS)gives a perfect elimi-

nation ordering of a chordal graph in linear time.In[5]we proved that every LexBFS-

ordering of a chordal graph G gives a common perfect elimination ordering of all odd powers of G.Moreover,we characterized those chordal graphs by forbidden isomet-

ric subgraphs for which every LexBFS-ordering of the graph is a common perfect

elimination ordering of all powers.

In this paper we consider LexBFS-orderings of distance-hereditary graphs.Since

distance-hereditary graphs are House-Hole-Domino-free each LexBFS-ordering of G is

a semi-simplicial ordering of G[14,17].We will prove that every LexBFS-ordering of a distance-hereditary graph is both a common perfect elimination ordering of all even powers and a common semi-simplicial ordering of all powers of this graph.In [15]a tree structure for distance-hereditary graphs was given,i.e.distance-hereditary graphs were characterized as the graphs for which the family of all maximal connected cographs is a dual hypertree.It turns out that the dismantling scheme corresponding to this tree structure is a perfect elimination ordering of the square of the graph.Thus our results give another linear time method for computing such a dismantling scheme by only considering the graph itself.

Furthermore,we characterize those distance-hereditary graphs by forbidden sub-

graphs for which every LexBFS-ordering of the graph is a common perfect elimi-

nation ordering of all powers.For such graphs every LexBFS-ordering =(v1;:::;v n) is a‘diametral’ordering too,i.e.each vertex v i is diametral in the subgraph in-duced by{v i;:::;v n}.Such a special ordering is used in[16]for solving the prob-lems Hamiltonian circuit and path e ciently for distance-hereditary graphs.For gen-eral distance-hereditary graphs only a quadratic time for computing such an order-ing is known.But in the case of ptolemaic graphs(those graphs which are both chordal and distance-hereditary)our result leads to a linear time algorithm.Thus the Hamiltonian problems can be solved for ptolemaic graphs in linear time (cf.[16]).

Finally,as an application of the results of the?rst part of this paper,we present a

simple algorithm which computes both the diameter and a diametral pair of vertices of

a distance-hereditary graph in linear time.Note that in[7]a linear time algorithm for

computing the diameter of a distance-hereditary graph was presented,but that approach

is not usable for?nding a diametral pair of vertices.

Computing the diameter of a graph or a pair of diametral vertices is important in

network design.For example,by considering the routing problem in a network it is

obvious that for each single-source routing algorithm(i.e.given a vertex as source

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207193 one has to reach all other vertices of the network)the lower bound of its running time is the diameter of the network.On the other hand,distance-hereditary graphs seem well suited for high reliable networks.Taking an k-connected distance-hereditary graph(k?2)as network the removal of at most k?1vertices(which corresponds to the failure of processors)does not change any distances(and thus routing times) within the network.

All these results show the usefulness of LexBFS-orderings not only for generat-ing special dismantling schemes of graphs,but also for solving certain optimization problems.

2.Preliminaries

Throughout this paper all graphs G=(V;E)are?nite,undirected,simple(i.e. loop-free and without multiple edges)and connected.

A path is a sequence of vertices v0;:::;v k such that v i v i+1∈E for i=0;:::;k?1; its length is k.As usual,an induced path of k vertices is denoted by P k.A graph G is connected i for every pair of vertices of G there is a path in G joining both vertices. The distance d G(u;v)of vertices u;v is the minimal length of a path connecting these vertices.If no confusion can arise we will omit the index G.

The eccentricity e(v)of a vertex v∈V is the maximum over d(v;x),x∈V.The minimum over the eccentricities of all vertices of G is the radius rad(G)of G,whereas the maximum is the diameter diam(G)of G.A pair x;y of vertices of G is called diametral i d(x;y)=diam(G).

The kth neighbourhood N k(v)of a vertex v of G is the set of all vertices of distance k to v,i.e.

N k(v):={u∈V:d G(u;v)=k};

whereas the disk of radius k centered at v is the set of all vertices of distance at most k to v:

k

N i(v):

D G(v;k):={u∈V:d G(u;v)6k}=

i=0

For convenience we will write N(v)instead of N1(v).Again,if no confusion can arise we will omit the index G.The kth power G k of G is the graph with the same vertex set V where two vertices are adjacent i their distance is at most k.

Next we recall the de?nition and some characterizations of the considered graph classes.An induced cycle is a sequence of vertices v0;:::;v k such that v0=v k and v i v j∈E i |i?j|=1(modulo k).The length|C|of a cycle C is its number of ver-tices.In the sequel a hole is an induced cycle of length at least?ve.A graph G is chordal i every induced cycle of G is of length three.One of the?rst results on chordal graphs is the characterization via dismantling schemes.A vertex v of G is called simplicial i D(v;1)induces a complete subgraph of G.A perfect elimination

194 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207 ordering is an ordering of G such that v i is simplicial in G i:=G({v i;:::;v n})for each i=1;:::;n.It is well known that a graph is chordal if and only if it has a perfect elimination ordering(cf.[11]).Moreover,there is a linear time algorithm for comput-ing perfect elimination orderings of chordal graphs:Lexicographic breadth-?rst-search (LexBFS,[11]).To make the paper self-contained we present the rules of this algo-rithm.LexBFS orders the vertices of a graph by assigning numbers from n=|V|to1 in the following way:assign the number k to a vertex v(as yet unnumbered)which has lexically largest vector(s i:i=n;n?1;:::;k+1),where s i=1if v is adjacent to the vertex numbered i,and s i=0otherwise.An ordering =(v1;v2;:::;v n)of the vertex set of a graph G generated by LexBFS will be called LexBFS-ordering

of G.

In what follows we will often use the following property of LexBFS-orderings(cf.

[14]):

(P1)If a?b?c and ac∈E and bc∈E then there exists a vertex d

such that c?d;db∈E and da∈E:

We write x?y whenever in a given ordering vertex x has a smaller number than vertex y.Moreover,x?{y1;:::;y k}is an abbreviation for x?y i,i=1;:::;k.It is well known that any LexBFS-ordering has property(P1)[11].Moreover,any ordering ful?lling(P1)can be generated by LexBFS[5].

An induced subgraph H of G is an isometric subgraph of G i the distances within H are the same as in G,i.e.

?x;y∈V(H):d H(x;y)=d G(x;y):

A graph G is distance-hereditary[13]i each connected induced subgraph of G is iso-metric.Distance-hereditary graphs were extensively studied in[2,12,6,1,15].For prov-ing our results we will often use the following property:

Theorem2.1(The four point condition[2]).Let G be a distance-hereditary graph. Then;for every four vertices u;v;w;x at least two of the distance sums d(u;v)+d(w;x);d(u;w)+d(v;x);d(u;x)+d(w;v)

are equal;and;if the two smaller sums are equal then the larger one exceeds this by at most two.

Furthermore,distance-hereditary graphs can be characterized by forbidden subgraphs [2,12]:A graph is distance-hereditary if and only if it does not contain a hole,a house, a domino and a3-fan as induced subgraph(see Fig.1).

Finally,a graph G is called pseudo-modular[3]i for every three vertices x1;x2;x3 of G there are vertices z1;z2;z3of G such that

d(x i;x j)=d(x i;z i)+d(z i;z j)+d(z j;x j);i=j∈{1;2;3}

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207195

Fig.1.A house,a domino and a3-fan.

and z1=z2=z3or{z1;z2;z3}is complete.In[3]it was shown that distance-hereditary graphs are pseudo-modular.

3.LexBFS-orderings and powers of distance-hereditary graphs

By de?nition,HHD-free graphs are the graphs which do not contain a hole,a house or a domino as induced subgraphs.These graphs were introduced in[14](see also [17])as the graphs for which every LexBFS-ordering of every induced subgraph is a semi-simplicial ordering.Hereby,a vertex is semi-simplicial i it is not a midpoint of a P4.A semi-simplicial ordering(v1;:::;v n)is an ordering of the vertex set of G such that v i is semi-simplicial in G i:=G({v i;:::;v n}).

In[8]we characterized HHD-free graphs by means of convexity.A subset S of V is called m3-convex i S contains every induced path of length at least three between vertices of S.Note that m3-convexity is a relaxation of m-convexity which is useful for characterizing chordal graphs.

Theorem3.1(Dragan et al.[8]).The following conditions are equivalent for a graph G:

(1)G is HHD-free.

(2)Every LexBFS-ordering of G is a semi-simplicial ordering.

(3)For every LexBFS-ordering(v1;:::;v n)of G the set V(G i)is m3-convex in G for all i=1;:::;n.

(4)The disks D(v;k);k?1;are m3-convex for all vertices v∈V.

For proving the results we will frequently use the following corollary of condition (3)of the above theorem:

Corollary3.2.If is a LexBFS-ordering of G and u1?···?u k is an induced path of length k?3then either u1or u k must be the leftmost vertex of the path with respect to .

The de?nition of semi-simplicial vertices immediately implies

196 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207 Remark3.3.For each semi-simplicial vertex v of a graph G such that e(v)?2,the

subgraph G\{v}is isometric in G.

which forms the basis of the inductive proofs in the sequel.

3.1.Even powers of distance-hereditary graphs

In[1]it was proved that all even powers of a distance-hereditary graph are chordal.

In this section we show that any LexBFS-ordering of a given distance-hereditary graph

is a common perfect elimination ordering of all its even powers.

Lemma3.4.Each LexBFS-ordering of a distance-hereditary graph G is a perfect

elimination ordering of G2.

Proof.Let v be the?rst vertex of and assume that there are vertices x;y∈D(v;2)

such that d(x;y)?3.Since distance-hereditary graphs are HHD-free,v is semi-simplicial

in G,thus d(x;y)=3and x;y∈N2(v).Let a;b be adjacent vertices of N(v)such that ax∈E and by∈E.W.l.o.g.we may assume a?b.Now applying m3-convexity to

the induced path x?a?b?y gives min{x;y}?a.

Case1:x?a?y.We immediately conclude x?b.Applying(P1)to v?x?b

yields a vertex t?b adjacent to x but not to v.Since x is the smallest vertex of the path t?x?a?b this path cannot be induced by m3-convexity.Thus either ta∈E or tb∈E.Assuming tb∈E gives either a3-fan(for ta∈E)or a house(for ta∈E),a contradiction in both cases.Therefore tb∈E and ta∈E.But now the path t?a?b?y is induced and a is its smallest vertex,a contradiction to m3-convexity.

Case2:y?a?x.Analogously to Case1,applying(P1)to v?y?a gives a vertex s?a adjacent to y and b but neither to v nor to a.Thus the path s?b?a?x

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207197 is induced and its minimum vertex is a,a contradiction to m3-convexity.

Case3:x;y?a.Since x?a and y?a we get vertices t and s as described in Cases1and2,respectively.Now the minimum vertex of the path t?a?b?s is a. By m3-convexity this path cannot be induced,implying st∈E.But now{s;t;a;b;v} induces a house.

Induction and Remark3.3settle the proof.

Theorem3.5.Each LexBFS-ordering of a distance-hereditary graph G is a perfect elimination ordering of each even power G2k;k?1.

Proof.By Remark3.3it is su cient to prove that the?rst vertex of a LexBFS-ordering is simplicial in G2k.This we show by induction on k.

For k=1we are done by Lemma3.4.So we may assume k?2.Let v be the?rst vertex of and assume that there are vertices x;y∈D(v;2k)such that d(x;y)?2k+1. By the induction hypothesis v is simplicial in the even powers G2;:::;G2k?2.In par-ticular,the distance between any two vertices of D(v;2k?2)is at most2k?2.We conclude x;y∈D(v;2k?2)and d(x;y)62k+2.Moreover,both vertices x and y cannot be in N2k?1(v),since otherwise d(x;y)62k will hold.

Case1:x∈N2k(v)and y∈N2k?1(v).Choose vertices a1;b∈N2k?2(v)and a2∈N2k?1(v)rightmost in such that a1?a2?x induces a P3and yb∈E.We immediately obtain the following equalities:

d(a1;b)=2k?2;d(a2;b)=d(a1;y)=2k?1;

d(a2;y)=2k;d(x;y)=2k+1:

By pseudo-modularity of G there is a vertex u such that

d(v;u)=d(u;a1)=d(u;b)=k?1:

Let z be the neighbour of v on a shortest path joining v and u and i its position in .We obtain

d(z;a1)=d(z;b)=2k?3and d(z;a2)=d(z;y)=2k?2:

198 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

Since d(a2;y)=2k,a2;y∈D(z;2k?2)and z is simplicial in G2k?2

i not both vertices

a2;y can be contained in G i,i.e.min{a2;y}?z.

Case1.1:y?z?a2.Applying(P1)to v?y?z gives a vertex t?z adjacent to y but not to v.Let b?w1?···?w l?z be a shortest path joining b and z and de?ne P:=t?y?b?w1?···?w l?z.Since|P|?3and y is smaller than t and z the path P cannot be induced by m3-convexity,i.e.tb∈E or tw1∈E.We conclude 2k?36d(z;t)62k?2.Thus both vertices a2and t are in D(z;2k?2)in G i.But d(a2;y)=2k and yt∈E imply d(a2;t)?2k?1,a contradiction to the simpliciality of z in G2k?2

i

.

Case1.2:a2?z.Let a1?w1?···?w l?z be a shortest path joining a1and z.Since a2?z and the length of the induced path x?a2?a1?w1?···?w l?z is at least three m3-convexity implies x?a2.Now applying(P1)to v?x?z gives a vertex t?z adjacent to x but not to v.Since x is smaller than t and z the path t?x?a2?a1?w1?···?w l?z cannot be induced by m3-convexity.Hence,by distance requirements ta1∈E or ta2∈E.If ta1∈E then ta2∈E and the path t?a2?a1?w1?···?w l?z is induced.This implies a contradiction to m3-convexity since a2is smaller than t and z.Therefore ta1∈E.But now we can replace a2by t?a2, a contradiction to the choice of a2.

Case2:x;y∈N2k(v).Choose vertices a1;b1∈N2k?2(v)and a2;b2∈N2k?1(v)such that a1?a2?x and b1?b2?y are induced paths.Since we already handled Case1 we may assume d(a2;y);d(b2;x)=2k+1.We immediately conclude

d(a2;y)=d(b2;x)=2k and d(x;y)=2k+1:

F.F.Dragan,F.Nicolai /Discrete Applied Mathematics 98(2000)191–207199

Now consider the distance sums of the vertices v;x;y;a 1:

d (v;x )+d (a 1;y )=2k +d (a 1;y )?4k ?1;

d (v;a 1)+d (x;y )=4k ?1;

d (v;y )+d (a 1;x )=2k +2:

The four-point condition now implies

d (v;x )+d (a 1;y )=d (v;a 1)+d (x;y )=4k ?1:

Thus d (a 1;y )=2k ?1and by symmetry d (b 1;x )=2k ?1.So we can compute the distance sums for x;y;a 1;b 1:

d (a 1;x )+d (b 1;y )=4;

d (a 1;b 1)+d (x;y )=2k +1+d (a 1;b 1)?4k ?2;

d (a 1;y )+d (b 1;x )=4k ?2:

The four-point condition gives

d (a 1;b 1)+d (x;y )=d (a 1;y )+d (b 1;x )=4k ?2

and thus d (a 1;b 1)=2k ?3.This immediately implies d (a 2;b 2)=2k ?1.From d (a 1;b 1)=2k ?3and d (v;a 1)=d (v;b 1)=2k ?2pseudo-modularity yields pairwise adjacent vertices u 1;u 2;u 3such that

d (v;u 1)=k ?1and d (a 1;u 2)=d (b 1;u 3)=k ?2:

Let z be the neighbour of v on a shortest path joining v and u 1and i its position in .Then

d (z;a 1)=d (z;b 1)=2k ?3and d (z;a 2)=d (z;b 2)=2k ?2:

Therefore the vertices a 2;b 2are contained in D (z;2k ?2).By induction hypothesis z is simplicial in G 2k ?2i .Thus d (a 2;b 2)=2k ?1implies min {a 2;b 2}?z .Due to symmetry we may assume a 2?z .Let a 1?w 1?···?w l ?z be a shortest path joining a 1and z .Since a 2?z and the length of the induced path x ?a 2?a 1?w 1?···?w l ?z is at least three m 3-convexity implies x ?a 2.Now (P1)applied to v ?x ?z yields a vertex t ?z adjacent to x but not to v (note t =a 2since a 2?z ?t ).Since vertex x is smaller than the endvertices t;z of the path t ?x ?a 2?a 1?w 1?···?w l ?z we conclude ta 2∈E or ta 1∈E by m 3-convexity.If ta 1∈E then ta 2∈E and the path t ?a 2?a 1?w 1?···?w l ?z is induced.But a 2is smaller than t and z ,a contradiction to the m 3-convexity.Therefore ta 1∈E which immediately implies d (z;t )=2k ?2and d (t;b 2)=2k ?1.

If b 2?z then both vertices b 2and t are contained in D (z;2k ?2)in G i ,a contradic-tion to the simpliciality of z in G 2k ?2i .If b 2?z then we can apply the same arguments as above to b 2;b 1;y yielding a vertex s ?z adjacent to y and b 1with d (z;s )=2k ?2.From tx ∈E ,sy ∈E and d (x;y )=2k +1we conclude d (s;t )?2k ?1.But both s and t are contained in D (z;2k ?2)in G i ,again a contradiction to the simpliciality of z in G 2k ?2i .

200 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

Fig.2.A C(k)4and a C(1)4minus a pendant vertex.

3.2.Odd powers of distance-hereditary graphs

In[1]it was proved that all odd powers of a distance-hereditary graph are HHD-free. Moreover,an odd power G2k+1is chordal if and only if G does not contain an induced subgraph isomorphic to the C(k)4,cf.Fig.2A.

Theorem3.6.Each LexBFS-ordering of a given distance-hereditary graph G is a common perfect elimination ordering of all its powers if and only if G does not contain the graph of Fig.2B as induced subgraph.

Proof.Assume that a distance-hereditary graph G contains the graph of Fig.2B as induced subgraph.We will construct a LexBFS-ordering of G which is not a per-fect elimination ordering of its cube.We start the LexBFS-procedure at the vertex labeled by n.Let the labels of the graph of Fig.2B be given by .Obviously, {a;d}?p?n?1?n and c?b.Suppose a?b and let i be the position of a in .Then a is not simplicial in(G i)2since a?{b;p},b;p∈D(a;2)and d(b;p)=3. Thus c?b?a?p?n?1?n.Now we will show d?c which implies that d is not simplicial in(G j)3where j is the position of d in .Assume c?d.Applying(P1) to c?d?p gives a vertex t?p adjacent to d but not to c.Since t?p we have t=a,and tn∈E by the rules of LexBFS.But this is a contradiction to d(n;d)=3. To prove the converse let G be a distance-hereditary graph which does not contain the graph of Fig.2B.By Theorem3.5it is su cient to show by induction on k that is a perfect elimination ordering for G2k+1;k?1.By Remark3.3we have only to prove that the?rst vertex v of is simplicial in G2k+1.We start with the cube of G. Assume that there are vertices x;y∈D(v;3)such that d(x;y)?4.Since v is simplicial in G2by Theorem3.5we immediately have

d(v;x)=d(v;y)=3and d(x;y)=4:

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207201 Choose vertices a;b∈N2(v)rightmost in such that ax∈E and by∈E.Since v is simplicial in G2and d(x;y)=4we must have

d(a;b)=2and d(a;y)=d(b;x)=3:

Thus,by pseudo-modularity there is a vertex u∈N(v)adjacent to v;a;b.We may choose u rightmost in .Let i be the position of u in .W.l.o.g.we may assume a?b.Since the path x?a?u?b is induced and a?b m3-convexity gives x?a.On the other hand,both vertices a and y are contained in D(u;2).Since d(a;y)=3and u is simplicial in G2i we must have a?u or y?u.Assuming a?u immediately gives x?u.Thus(P1)applied to v?x?u yields a vertex t?u adjacent to x but not to v. Note t=a.Now vertices x and a are smaller than t,u and b.Thus m3-convexity with respect to the path t?x?a?u?b implies tu∈E.Therefore,we can replace a by t?a,a contradiction to the choice of a.Consequently,y?u?a holds.Property(P1) applied to u?a?b yields a vertex t?b adjacent to a but not to u.Since u is smaller than the endvertices t;b of the path t?a?u?b and tu∈E we infer tb∈E from m3-convexity.By distance requirements t cannot be adjacent to x and y.If tv∈E then we can replace u by t?u,a contradiction to the choice of u.Thus tv∈E and we have constructed an induced subgraph isomorphic to the graph of Fig.2B,a contradiction. Consequently,v is simplicial in G3.

Now let k?2and assume that there are vertices x;y in D(v;2k+1)such that d(x;y)?2k+2.Since v is simplicial in G2k by Theorem3.5there must be vertices a;b∈N2k(v)such that

d(a;b)=2k;d(v;x)=d(v;y)=2k+1;d(x;y)=2k+2and ax;by∈E: We may choose a and b rightmost in and assume a?b by symmetry.Now we have d(v;a)=d(v;b)=d(a;b)=2k and thus pseudo-modularity gives a vertex u such that d(v;u)=d(a;u)=d(b;u)=k:

Let z be the neighbour of v on a shortest path joining v and u and i its position in .By the induction hypothesis z is simplicial in G2k?1.Since a;b∈D(z;2k?1)but d(a;b)=2k we must have a?z.Let a?w1?···?w l?z be a shortest path joining a and z.Since a?z m3-convexity with respect to x?a?w1?···?w l?z yields x?a?z.Applying(P1)to v?x?z gives a vertex t?z adjacent to x but not to v.Note t=a.Now the path t?x?a?w1?···?w l?z cannot be induced by m3-convexity.By distance requirements the only possible chords are ta and tw1.If tw1∈E then ta∈E and t?a?w1?···?w l?z is induced.But a is smaller than t and z,a contradiction to m3-convexity.Thus tw1∈E and we can replace a by t?a, a contradiction to the choice of a.

Finally,using the four point condition and Theorem3.5we show

Theorem3.7.Every LexBFS-ordering of a distance-hereditary graph G is a common semi-simplicial ordering of all its powers.

202 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

Proof.Since each distance-hereditary graph is HHD-free and each perfect elimination ordering is a semi-simplicial ordering the result holds for G and all even powers. Again,by Remark3.3it is su cient to consider the?rst vertex v of .Assume that v is a midpoint of a P4x?v?y?w in G2k+1;k?1.Since v is simplicial in G2k we have

d(a;b)=2k;d(v;x)=d(v;y)=2k+1;d(x;y)=2k+2and ax;by∈E

for some vertices a;b∈N2k(v).By pseudo-modularity there is a vertex z such that

d(v;z)=d(a;z)=d(b;z)=k:

To apply the four-point condition we compute the distance sums of the vertices v;y;z;w:

d(v;z)+d(y;w)=k+d(y;w)63k+1;

d(v;y)+d(z;w)=2k+1+d(z;w)?3k+2;

d(v;w)+d(z;y)=k+1+d(v;w)?3k+2:

Thus the second and third sum must be equal giving d(z;w)+k=d(v;w).Since d(z;v)=k we obtain d(v;w)=d(v;z)+d(z;w),i.e.z lies on a shortest path joining v and w.We proceed by considering x;y;z;w:

d(x;z)+d(y;w)=k+1+d(y;w)63k+2;

d(x;w)+d(z;y)=k+1+d(x;w)?3k+2;

d(x;y)+d(z;w)=2k+2+d(z;w)?3k+3:

Thus the second and third sum must be equal giving d(x;w)=k+1+d(z;w).Since d(z;x)=k+1we obtain d(x;w)=d(x;z)+d(z;w),i.e.z lies on a shortest path joining x and w.

Let c be a vertex in N2k+2(v)which lies on a shortest path joining z and w,i.e. d(z;w)=d(z;c)+d(c;w).By Theorem3.5vertex v is simplicial in G2k+2.Thus,from c;x∈D(v;2k+2)we conclude d(x;c)62k+2.Now we obtain a contradiction by the following inequalities:

d(x;w)6d(x;c)+d(c;w)62k+2+d(c;w);

d(x;w)=d(x;z)+d(z;w)=d(x;z)+d(z;c)+d(c;w)=2k+3+d(c;w)

which is impossible.

https://www.doczj.com/doc/8911687053.html,puting a diametral pair of vertices

In this section we apply the preceding results to compute the diameter and a diametral pair of vertices of a distance-hereditary graph in linear time.

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207203 Lemma4.1.Let v be the?rst vertex of a LexBFS-ordering of a distance-hereditary graph

G.Then

diam(G)?16e(v)6diam(G):

Moreover;if e(v)is even then e(v)=diam(G).

Proof.If e(v)=2k;k?1,then G2k is complete by Theorem3.5,and thus diam(G)=2k. If e(v)=2k+1;k?1,then G2k+2is complete by Theorem3.5,and hence2k+16 diam(G)62k+2.

Corollary4.2.Let G be a distance-hereditary graph which does not contain the graph of Fig.2B as induced subgraph;and let v be the?rst vertex of a LexBFS-ordering of G.Then e(v)=diam(G).

Proof.Immediately follows from Theorem3.6and the proof of Lemma4.1.

For the sequel we may assume that G is not complete for otherwise there is nothing to do.In what follows we describe the steps of the algorithm.

At?rst we compute a LexBFS-ordering of a given distance-hereditary graph G. Let v be the?rst vertex of .If e(v)=2k;k?1,then,by Lemma4.1,e(v)=diam(G), and the vertices v and w∈N e(v)(v)form a diametral pair of G.So let e(v)=2k+1. Now we start LexBFS at vertex v yielding a LexBFS-ordering with?rst vertex u.If e(u)=2k+2then,by Lemma4.1,diam(G)=2k+2and the vertices u and w∈N e(u)(u) form a diametral pair of G.Otherwise(e(v)=e(u)=2k+1)we choose a vertex z at distance k to u and at distance k+1to v.

Lemma4.3.k+16e(z)6k+2.

Proof.Since d(z;v)=k+1we immediately have e(z)?k+1.So let w be a vertex of V such that d(z;w)?k+2.We obtain the following distance sums: d(u;v)+d(z;w)=2k+1+d(z;w)?3k+3;

d(u;z)+d(v;w)=k+d(v;w)63k+1;

d(u;w)+d(v;z)=k+1+d(u;w)63k+2:

Now the four-point condition gives

d(v;w)=2k+1;d(u;w)=2k and d(z;w)=k+2:

This settles the proof.

For every vertex w of V\D(z;k)we store in track(w)the second edge of an arbitrary shortest path from z to w.De?ne F:={track(w):w∈V\D(z;k)}.We will say that two edges in a graph are independent i the vertices of this edges induce a2K2in G.

204 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

Lemma4.4.diam(G)=2k+2if and only if the set F contains two independent edges.

Proof.Let diam(G)=2k+2and let x;y be vertices of G such that d(x;y)=2k+2. Since both u and v(as?rst vertices of LexBFS-orderings)are simplicial in G2k we get

d(u;x)=d(u;y)=d(v;x)=d(v;y)=2k+1:

With d(z;u)=k this implies d(z;x)?k+1.So we obtain the following distance sums:

d(u;v)+d(z;x)=2k+1+d(z;x)?3k+2;

d(u;z)+d(v;x)=k+2k+1=3k+1;

d(u;x)+d(v;z)=2k+1+k+1=3k+2:

Now the four-point condition gives d(z;x)=k+1.By symmetry,d(z;y)=k+1. Thus z lies on a shortest path joining x and y.Obviously,track(x)and track(y)are independent edges due to d(x;y)=2k+2and d(x;z)=d(y;z)=k+1.

Now let s1s2and t1t2be independent edges in F.Let z?s1?s2?···?w1and z?t1?t2?···?w2be shortest paths of length at least k+1.We will prove d(w1;w2)= 2k+2.Since s2?s1?z?t1?t2is induced we get d(s2;t2)=https://www.doczj.com/doc/8911687053.html,ing Lemma4.3 we obtain the following distance sums:

d(w1;z)+d(s2;t2)=4+d(w1;z)∈{k+5;k+6};

d(w1;s2)+d(z;t2)=2+d(w1;s2)∈{k+1;k+2};

d(w1;t2)+d(z;s2)=2+d(w1;t2):

Since the di erence between the?rst and second distance sum is at least three the four-point condition implies that the larger two sums must be equal,i.e.the?rst and third one.So we get

k+36d(w1;t2)6k+4and k+36d(w2;s2)6k+4

by symmetry.Together with d(s2;t2)=4this implies

d(w1;w2)+d(s2;t2)=4+d(w1;w2);

d(w1;s2)+d(w2;t2)∈{2k?2;2k?1;2k};

d(w1;t2)+d(w2;s2)∈{2k+6;2k+7;2k+8}:

By the same argument as above the four-point condition implies that the?rst and the third distance sum must be equal,i.e.d(w1;w2)?2k+2.

Therefore,the following algorithm correctly computes the diameter and a diametral pair of a distance-hereditary graph:

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207205

Fig.3.Algorithm DHGDiam—Examples.

Algorithm DHGDiam.

Input:A connected distance-hereditary graph G.

Output:diam(G)and a diametral pair of vertices of G.

(1)begin :=LexBFS(G;s)for some s∈V(G).

(2)Let v be the?rst vertex of .

(3)if e(v)is even then return(e(v);(v;w))where w∈N e(v)(v).

(4)else :=LexBFS(G;v).

(5)Let u be the?rst vertex of .

(6)if e(u)=e(v)+1then return(e(u);(u;w))where w∈N e(u)(u).

(7)else Let k∈N such that e(v)=e(u)=2k+1.

(8)Choose a vertex z from D(u;k)∩D(v;k+1).

(9)F:={track(w):w∈V\D(z;k)}.

(10)if F contains a pair e1;e2of independent edges

(11)then return(2k+2;(x;y))

where x;y∈V such that track(x)=e1and track(y)=e2.

(12)else return(2k+1;(v;u))

(13)end.

Before going into the implementation details consider the examples of Fig.3.In the ?rst one,a C(1)4minus a pendant vertex,the algorithm correctly stops in step(6).In the second one both?rst vertices of both LexBFS-ordering s have odd eccentricity. Thus we must compute the track-values and the set F.

206 F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207

It remains to show that the above algorithm can be implemented in linear time.It

is well known that LexBFS and BFS run in linear time.So it is su cient to consider steps(9)and(10).

Step(9):At?rst we build a BFS-tree rooted at z yielding the set of neighbourhoods

N i(z);i=0;:::;e(z)of z.For any vertex x∈V\{z}let f(x)denote the father of x in the BFS-tree.We compute the track-values levelwise:For all vertices w in N2(z)de?ne

track(w):=wy where y=f(w).Recursively,we compute track(w):=track(f(w))for w∈N i(z),i=3;:::;e(z).Now we can compute F by collecting all track-edges of the vertices of the set V\D(z;k).Obviously,the above procedure runs in linear time. Step(10):We use the BFS-tree rooted at z which was already computed in step (9).Let b:V→N be the numbering of the vertices of G produced by BFS where b(z)=1.Let S1(S2)be the vertices of N(z)(N2(z))which are endpoints of edges of F.Furthermore,for all vertices y of S1let C(y)be the set of children of y in the BFS-tree contained in S2,i.e.C(y)={w∈S2:y=f(w)}.De?ne c(y):=|C(y)|. Obviously,the sets S1;S2and the values c(y)for y∈S1can be computed in linear time.

In what follows we explain a procedure looking for a pair of independent edges:

Consider the vertex x of S1with maximal b-number.Stepping through the neigh-bourhood of x we mark all vertices y of S1which are either neighbours of x or every BFS-child of y in S2is adjacent to x,i.e.C(y)?N(x).

We show that this can be done in O(deg(x))by using a counter m(y)for each vertex y of S1counting the neighbours of x in C(y).Initially,m(y)=0for all y∈S1. The algorithm steps three times through the neighbourhood of x and thus runs in O(deg(x))time:

?For every neighbour w of x do:

If w∈S1then mark w.

If w∈S2then increase the counter m of f(w)by1.

?For every neighbour w of x do:

If w∈S2and c(f(w))=m(f(w))then mark f(w).

?For every neighbour w of x do:

If w∈S2then reset the counter m of f(w)to zero.

If there is an unmarked vertex y∈S1then xy∈E and there must be a BFS-child w

of y in S2not adjacent to x.We claim that the edges yw and xu,for some neighbour

u of x in S2,are independent(note that x∈S1implies that there is some vertex u∈S2

F.F.Dragan,F.Nicolai/Discrete Applied Mathematics98(2000)191–207207 with x=f(u)by the de?nitions of S1and S2).Indeed,since b(x)?b(y)and x=f(u) the rules of BFS imply uy∈E(if uy∈E then f(u)=y).Now uw∈E for otherwise the set{z;x;y;w;u}induces a cycle of length?ve.Therefore,the edges yw and xu are independent.

Now assume that all vertices of S1are marked.Then,by the rules of the marking algorithm,x cannot be an endpoint of a pair of independent edges.So we delete x from S1and all neighbours of x in S2.We repeat the above procedure until we get a pair of independent edges or S1is empty.

Since the processing of a vertex x of S1takes O(deg(x))the total running time of step(10)is linear.

Summarizing the above we get

Theorem4.5.For distance-hereditary graph s the diameter and a diametral pair of vertices can be computed in linear time.

References

[1]H.J.Bandelt,A.Henkmann,F.Nicolai,Powers of distance-hereditary graphs,Discrete Math.145(1995)

37–60.

[2]H.-J.Bandelt,H.M.Mulder,Distance-hereditary graphs,https://www.doczj.com/doc/8911687053.html,bin.Theory(B)41(1986)182–208.

[3]H.-J.Bandelt,H.M.Mulder,Pseudo-modular graphs,Discrete Math.62(1986)245–260.

[4]A.Brandst a dt,V.D.Chepoi,F.F.Dragan,Perfect elimination orderings of chordal powers of graphs,

Discrete Math.158(1996)273–278.

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Comput.17(1988)521–538.

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Lecture Notes in Computer Science,vol.824,pp.370–381.

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(1999)119–135.

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Math.Moscow4(1992)67–73(in Russian).

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417–420.

[14]B.Jamison,S.Olariu,On the semi-perfect elimination,Adv.App.Math.9(1988)364–376.

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Mercator-Universit a t-Gersamthochule Duisburg SM-DU-255,1994.

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Gerhard-Mercator-Universit a t-Gersamthochule Duisburg SM-DU-264,1994.

[17]S.Olariu,Some aspects of semi-perfect elimination,Disc.Appl.Math.31(1991)291–298.

[18]D.Rose,R.E.Tarjan,G.Lueker,Algorithmic aspects on vertex elimination on graphs,SIAM https://www.doczj.com/doc/8911687053.html,put.

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如何写先进个人事迹

如何写先进个人事迹 篇一:如何写先进事迹材料 如何写先进事迹材料 一般有两种情况:一是先进个人,如先进工作者、优秀党员、劳动模范等;一是先进集体或先进单位,如先进党支部、先进车间或科室,抗洪抢险先进集体等。无论是先进个人还是先进集体,他们的先进事迹,内容各不相同,因此要整理材料,不可能固定一个模式。一般来说,可大体从以下方面进行整理。 (1)要拟定恰当的标题。先进事迹材料的标题,有两部分内容必不可少,一是要写明先进个人姓名和先进集体的名称,使人一眼便看出是哪个人或哪个集体、哪个单位的先进事迹。二是要概括标明先进事迹的主要内容或材料的用途。例如《王鬃同志端正党风的先进事迹》、《关于评选张鬃同志为全国新长征突击手的材料》、《关于评选鬃处党支部为省直机关先进党支部的材料》等。 (2)正文。正文的开头,要写明先进个人的简要情况,包括:姓名、性别、年龄、工作单位、职务、是否党团员等。此外,还要写明有关单位准备授予他(她)什么荣誉称号,或给予哪种形式的奖励。对先进集体、先进单位,要根据其先进事迹的主要内容,寥寥数语即应写明,不须用更多的文字。 然后,要写先进人物或先进集体的主要事迹。这部分内容是全篇材料

的主体,要下功夫写好,关键是要写得既具体,又不繁琐;既概括,又不抽象;既生动形象,又很实在。总之,就是要写得很有说服力,让人一看便可得出够得上先进的结论。比如,写一位端正党风先进人物的事迹材料,就应当着重写这位同志在发扬党的优良传统和作风方面都有哪些突出的先进事迹,在同不正之风作斗争中有哪些突出的表现。又如,写一位搞改革的先进人物的事迹材料,就应当着力写这位同志是从哪些方面进行改革的,已经取得了哪些突出的成果,特别是改革前后的.经济效益或社会效益都有了哪些明显的变化。在写这些先进事迹时,无论是先进个人还是先进集体的,都应选取那些具有代表性的具体事实来说明。必要时还可运用一些数字,以增强先进事迹材料的说服力。 为了使先进事迹的内容眉目清晰、更加条理化,在文字表述上还可分成若干自然段来写,特别是对那些涉及较多方面的先进事迹材料,采取这种写法尤为必要。如果将各方面内容材料都混在一起,是不易写明的。在分段写时,最好在每段之前根据内容标出小标题,或以明确的观点加以概括,使标题或观点与内容浑然一体。 最后,是先进事迹材料的署名。一般说,整理先进个人和先进集体的材料,都是以本级组织或上级组织的名义;是代表组织意见的。因此,材料整理完后,应经有关领导同志审定,以相应一级组织正式署名上报。这类材料不宜以个人名义署名。 写作典型经验材料-般包括以下几部分: (1)标题。有多种写法,通常是把典型经验高度集中地概括出来,一

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