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Vertex Covers and Matchings

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Tricky (put polynomial) in general, but 'easy' in a bipartite graph. A bipartite network has two sets of nodes N1 and N2 such that all edges have one ... – PowerPoint PPT presentation

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Title: Vertex Covers and Matchings


1
Vertex Covers and Matchings
  • Given an undirected graph G(V,E),
  • a vertex cover of G is a subset of the vertices C
    such that for every edge (i,j) in E i is in C
    and/or j is in C.
  • -a matching in G is a subset of the edges M such
    that no two edges in M share the same vertex.

2
Example
C 1, 2, 3, 4
M (1,5), (2,3), (4,6)
1
2
5
6
3
4
3
Maximum Cardinality Matching
  • Find the largest matching in a given graph G.
  • Tricky (put polynomial) in general, but easy in
    a bipartite graph.
  • A bipartite network has two sets of nodes N1 and
    N2 such that all edges have one endpoint in N1
    and the other in N2.

4
A Bipartite Graph
N2
N1
5
Max Flow Network G
capacity ?
1
3
s
t
5
7
6
Mapping Flows into Matchings
  • Given a feasible flow in G, let (i,j) be an edge
    in M if and only if xij 1.
  • Observe that M value of the flow.
  • If two edges in E, (i,j) and (k,j), share a node,
    then either xij 0, or xkj 0, or both.
    Otherwise the arc capacity of (j,t) will be
    violated.
  • If two edges in E, (i,j) and (i,k), share a node,
    then either xij 0, or xik 0, or both.

7
Mapping Matchings into Flows
  • Start with a zero flow.
  • If (i,j) is an edge in M, then let xsi1, xij1,
    and xjt1.
  • Consider a pair of matched nodes i and j.
  • The flow x sends exactly one unit of flow to node
    i on arc (s,i) and exactly one unit of flow into
    the sink on arc (j,t)
  • Thus, a matching of size M gives a feasible
    s-t flow of value M.

8
Max Flow in Network G
1
1
3
1
s
t
5
1
7
9
Matching in G
10
Residual Network
S S, 1, 2, 3, 5, 6
1
2
3
4
s
t
5
6
T T, 4, 7, 8
7
8
11
Minimum Cardinality Vertex Covers
  • Find a vertex cover with a minimum number of
    nodes.
  • Hard in general, but polynomial in bipartite
    graphs.
  • Solve max flow problem as described earlier and
    find min cut S,T.
  • C i in N1 ? T ? i in N2 ? S is a minimum
    cardinality vertex cover.

12
Vertex Cover in G
N1
N2
1
2
3
4
5
6
7
8
S S, 1, 2, 3, 5, 6
T T, 4, 7, 8
13
Correctness of Vertex Cover Result
N1
N2
j in N2 ? S
N1 ? S
1
j
s
t
1
N2 ? T
i
cant be in min cut
i in N1 ? T
14
Correctness of Vertex Cover Result
  • Let S,T be a finite cut in G.
  • Claim C i in N1 ? T ? i in N2 ? S is a
    vertex cover.
  • Suppose not.
  • This implies there is some edge (a,b) such that a
    is in N1 and S, and b is in N2 and T.
  • Since a is in N1 and b is in N2 capacity (a,b)
    ?.
  • But (a,b) goes from s to t. So, uS,T ?.

15
Correctness of Vertex Cover Result
  • The S,T be a finite cut in G.
  • Claim C i in N1 ? T ? i in N2 ? S is a
    vertex cover such thatCuS,T.
  • Theorem for Bipartite Graphs The
    cardinality of a maximum-size matching is equal
    to the cardinality of a minimum-size vertex cover.
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