integer and combinatorial optimization: perfect...
TRANSCRIPT
Integer and Combinatorial Optimization:Perfect Graphs
John E. Mitchell
Department of Mathematical SciencesRPI, Troy, NY 12180 USA
March 2019
Mitchell Perfect Graphs 1 / 14
Perfect graphs
See Nemhauser and Wolsey, section III.1.5, for more information.
DefinitionA graph G = (V ,E) is perfect if �(G) = !(G) for every inducedsubgraph G, where
�(G) = chromatic number of G= least number of colors needed to color the vertices
so no two adjacent vertices have the same color
!(G) = size of maximum clique of G
Note that every graph has �(G) � !(G), since every vertex in thelargest clique requires a different color.
Mitchell Perfect Graphs 2 / 14
"⇐±÷..G
r a
X CGI(3w ( a ) = 3
Examples
Bipartite graphs
ExampleBipartite graphs are perfect:
1
2
3
4
5
�(G) = !(G) = 2
Mitchell Perfect Graphs 3 / 14
Examples
Complements of bipartite graphsExampleComplements of bipartite graphs are perfect:
1
2
3
4
5
�(G) = !(G) = 3
Mitchell Perfect Graphs 4 / 14
G . I
÷ . . ÷⇐@1/61=161--2. x ( f )ea t#4
Examples
Odd holes
ExampleOdd holes are not perfect:
1
2
3
4
5
67
�(G) = 3, !(G) = 2
Mitchell Perfect Graphs 5 / 14
Examples
Odd anitholesExampleOdd antiholes are not perfect:
1
2
3
4
5
67
�(G) = 4, !(G) = 3Mitchell Perfect Graphs 6 / 14
B
R B
R G
4191=4 off.-z? G
Complement•
,i . o f f1 . 1 . .
alsoa cycleoflength 5 .
Packing LP
Complements of perfect graphs
A graph is perfect if and only if its complement is perfect.
A clique in a graph corresponds to a node packing in its complement.
A coloring in a graph corresponds to a clique cover in its complement;that is, a collection of cliques so that each vertex is in (at least) oneclique.
Mitchell Perfect Graphs 7 / 14
@dive@ ¥§§\¥ f @ @I t @a§÷÷÷÷."
"÷::÷÷÷÷÷÷÷÷÷÷÷÷O'
''÷"
Packing LP
A packing LP
Consider the packing linear program:
maxx2Rn cT xsubject to Ax e
x � 0
where e is the vector of ones, and every entry in A is either 0 or 1. Weconstruct a graph:
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
Mitchell Perfect Graphs 8 / 14
Packing LP
A packing LP
Consider the packing linear program:
maxx2Rn cT xsubject to Ax e
x � 0
where e is the vector of ones, and every entry in A is either 0 or 1. Weconstruct a graph:
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
Mitchell Perfect Graphs 8 / 14
{Equivalentt o
g ¥ a node packingproblem.
Packing LP
Constructing a graph from a matrix
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
For example:
A =
2
664
1 1 1 0 01 0 0 0 10 0 1 1 00 0 0 1 1
3
775
r s t u vr
st
u
v�(G) = !(G) = 3�(G) = !(G) = 2
Mitchell Perfect Graphs 9 / 14
Packing LP
Constructing a graph from a matrix
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
For example:
A =
2
664
1 1 1 0 01 0 0 0 10 0 1 1 00 0 0 1 1
3
775
r s t u vr
st
u
v�(G) = !(G) = 3�(G) = !(G) = 2
Mitchell Perfect Graphs 9 / 14
Packing LP
Constructing a graph from a matrix
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
For example:
A =
2
664
1 1 1 0 01 0 0 0 10 0 1 1 00 0 0 1 1
3
775
r s t u vr
st
u
v�(G) = !(G) = 3�(G) = !(G) = 2
Mitchell Perfect Graphs 9 / 14
Packing LP
Constructing a graph from a matrix
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
For example:
A =
2
664
1 1 1 0 01 0 0 0 10 0 1 1 00 0 0 1 1
3
775
r s t u vr
st
u
v�(G) = !(G) = 3�(G) = !(G) = 2
Mitchell Perfect Graphs 9 / 14
Packing LP
Constructing a graph from a matrix
Each column of A gives a node in a graph.Each row of A gives a clique in the graph. So if aij = aik = 1 thenvertices j and k are adjacent.
For example:
A =
2
664
1 1 1 0 01 0 0 0 10 0 1 1 00 0 0 1 1
3
775
r s t u vr
st
u
v�(G) = !(G) = 3�(G) = !(G) = 2
Mitchell Perfect Graphs 9 / 14
Axel,!}xrtxstxc.clx , t X v E la -t x u E lx u t x u s I
⑥ Complement:
✓ t o09/40 £ 100µ @ @
parking: Eau}0151=2 =X(E)
cliquecover:clique: {s,a }
{ n s . t } ,E u n }
Packing LP
Node packings
Binary solutions to the packing LP correspond to node packings in theoriginal graph and to cliques in the complement of the graph:
in a clique C in the complement, none of the vertices are adjacent inthe original graph, so there is no clique in the original graph thatcontains two of the vertices in C.
Mitchell Perfect Graphs 10 / 14
Packing LP
Clique coversBinary dual solutions to the packing LP with c = e correspond tocoverings by cliques in the original graph and to colorings in thecomplement of the graph.
The dual problem is
minx2Rm eT ysubject to AT y � e
y � 0
which is a covering problem.
Every vertex must be covered by a color.
If two vertices are not adjacent they must have different colors; thiscorresponds to the two columns not appearing in the same clique inthe original graph.
Mitchell Perfect Graphs 11 / 14
* A
a:c::::"
Packing LP
Two theorems
Theorem (Chvatal)The LP has an integral optimal solution for every nonnegative integralvector c if and only if the underlying graph is perfect.
Theorem(Perfect graph conjecture of Berge (1961). Proved byChudnovsky, Robertson, Seymour, and Thomas (2003).) A graph isperfect if and only if it contains no odd holes and no odd antiholes.
Mitchell Perfect Graphs 12 / 14
Packing LP
Two theorems
Theorem (Chvatal)The LP has an integral optimal solution for every nonnegative integralvector c if and only if the underlying graph is perfect.
Theorem(Perfect graph conjecture of Berge (1961). Proved byChudnovsky, Robertson, Seymour, and Thomas (2003).) A graph isperfect if and only if it contains no odd holes and no odd antiholes.
Mitchell Perfect Graphs 12 / 14
Packing LP
The Petersen graphExample
r
s
t
u
v
w
p
q
k
l
�(G) = 5. E.g. clique cover {r ,w}, {s, p}, {t , q}, {u, k}, {v , l}
!(G) = 4. E.g. packing {r , t , l , k}
Mitchell Perfect Graphs 13 / 14
0 0 00 0
@
6 ¥t olook for packing'.Have 2 cycle, of lengle 5 .
Su a t m o s t 4 verticesi n a packing.
Packing LP
Another exampleExampleA graph that is not perfect because an induced subgraph is not perfect:
r
st
u
vw p
q k
Here we have �(G) = !(G) = 3. However, if we restrict attention to thesubset {r , s, t , u, v} of the vertices then this subgraph is an odd hole,so this is not perfect. In the packing LP, we get a binary solution withc = e, but not with c = (1, 1, 1, 1, 1, 0, 0, 0, 0), with the “ones”corresponding to vertices {r , s, t , u, v}: set xr = xs = xt = xu = xv = 1
2 .Mitchell Perfect Graphs 14 / 14