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Graph Orientations and Submodular Flows. Lecture 6: Jan 26. Outline. Graph connectivity Graph orientations Submodular flows Survey of results Open problems. Edge Disjoint Paths. s . t .

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slide1

Graph Orientations and

Submodular Flows

Lecture 6: Jan 26

slide2

Outline

  • Graph connectivity
  • Graph orientations
  • Submodular flows
  • Survey of results
  • Open problems
slide3

Edge Disjoint Paths

s

t

[Menger 1927] maximum number of edge disjoint s-t paths = minimum size of an s-t cut.

slide4

Graph Connectivity

(Robustness) A graph is k-edge-connected if removal of

any k-1 edges the remaining graph is still connected.

(Connectedness) A graph is k-edge-connected if any

two vertices are linked by k edge-disjoint paths.

By Menger, these two are equivalent.

slide5

Graph Connectivity

(Robustness) A graph is k-vertex-connected if removal of

any k-1 vertices the remaining graph is still connected.

(Connectedness) A graph is k-vertex-connected if any

two vertices are linked by k internally vertex-disjoint paths.

Are these two are equivalent?

Yes, again by Menger!

slide6

Vertex Connectivity

G’

G

v

v-

v+

k internally vertex disjoint s-t paths in G 

k edge disjoint s-t paths in G’

slide7

An Inductive Proof of Menger’s Theorem

[Menger] maximum number of edge disjoint s-t paths = minimum size of an s-t cut.

(Proof by contradiction) Consider a counterexample G with

minimum number of edges.

So, every edge of G is in some minimum s-t cut

slide8

An Inductive Proof of Menger’s Theorem

Claim: there is no edge between two vertices in V(G)-{s,t}

slide9

An Inductive Proof of Menger’s Theorem

s

t

s

t

G’

G

x

x

edge-splitting at x

So, in G, the only edges are between s and t.

But then Menger’s theorem must be true, a contradiction.

Conclusion, G doesn’t exist!

slide10

Graph Orientations

Scenario: Suppose you have a road network.

For each road, you need to make it into an one-way street.

Question: Can you find a direction for each road so that every vertex can still reach every other vertex by a directed path?

What is a necessary condition?

slide11

Robbin’s Theorem

[Robbins 1939]G has a strongly connected orientation

 G is 2-edge-connected

slide12

A Useful Inequality

d(X) + d(Y) ≥ d(X ∩ Y) + d(X U Y)

We call such function a submodular function.

slide13

Minimally k-edge-connected graph

Claim: A minimally k-ec graph has a degree k vertex.

Another cut of size k

A smallest cut of size k

k + k = d(X) + d(Y) ≥ d(X ∩ Y) + d(X U Y) ≥ k + k

slide14

A Proof of Robbin’s Theorem

By the claim, a minimally 2-ec graph has a degree 2 vertex.

G’

G

x

x

Done!

G’

G

x

x

slide15

Nash-Williams’ Theorem

[Nash-Williams 1960]G has a strongly k-edge-connected orientation

 G is 2k -edge-connected

slide16

Mader’s Edge Splitting-off Theorem

edge-splitting at x

G’

G

x

x

A suitable splitting at x, if for every pair a,b  V(G)-x,

# edge-disjoint a,b-paths in G = # edge-disjoint a,b-paths in G’

[Mader] x not a cut vertex, x is incident with 3 edges

 there exists a suitable splitting at x

slide17

A Proof of Nash-Williams’ Theorem

Find a vertex v of degree 2k.

Keep finding suitable splitting-off at v for k times.

Apply induction.

Reconstruct the orientation.

slide18

Submodular Flows

[Edmonds Giles 1970] Can Find a minimum cost such flow in polytime

if g is a submodular function.

slide19

Minimum Cost Flows

  • For sets that contain s but not t, g(X) = -k.
  • For sets that contain s but not t, g(X) = k.
  • Otherwise, g(X) = 0.

g is submodular.

slide20

Problems Recap

Stable matchings

Bipartite matchings

Minimum spanning trees

General matchings

Maximum flows

Shortest paths

Minimum Cost Flows

Submodular Flows

Linear programming

slide21

Frank’s approach

[Frank] First find an arbitrary orientation, and

then use a submodular flow to correct it.

submodular

[Frank] Minimum weight orientation, mixed graph orientation.

slide22

V(G)-S – Steiner vertices

S-Steiner tree (S-tree)

Steiner Tree Packing

Given an undirected multigraph G, S  V(G).

S – terminal vertices

Steiner Tree Packing

Find a largest collection of edge-disjoint S-trees

slide23

Special Cases

[Menger] Edge-disjoint paths

[Tutte, Nash-Williams, 1960]

Edge-disjoint spanning trees in polynomial time.

(Corollary)2k -edge-connected =>

k edge-disjoint spanning trees

slide24

Kriesell’s Conjecture

Steiner tree packing is NP complete

Kriesell’s conjecture: [1999]

2k-S-edge-connected  k edge-disjoint S-trees

slide25

Nash-Williams’ Theorem

[Nash-Williams 1960]Strong Orientation Theorem

Suppose each pair of vertices hasr(u,v)paths in G.

Then there is an orientation D of G such that

there arer(u,v)/2paths between u,v in D.

slide26

Orientations with High Vertex Connectivity

  • Can we characterize those graphs which have a high vertex-connectivity orientation?

[Jordán] Every 18-vertex-connected graph

has a 2-vertex-connected orientation.

Frank’s conjecture 1994: A graph G has a k-vc orientation

 For every set X of j vertices, G-X is 2(k-j)-edge-connected.