Transcript
Page 1: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Combinatorial algorithms for graphs andpartially ordered sets

Johan Nilsson

BRICSUniversity of Aarhus

PhD defenceAarhus

October 15, 2007

1 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 2: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

2 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 3: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 4: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

The dissertation consists of four parts:

1 Reachability oracles2 Reachability substitutes3 The order dimension of planar maps4 Approximation algorithms for graphs with large treewidth

4 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 5: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

The dissertation consists of four parts:

1 Reachability oracles2 Reachability substitutes3 The order dimension of planar maps4 Approximation algorithms for graphs with large treewidth

4 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 6: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

5 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 7: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Partially ordered sets

A partially ordered set (poset) is a pair P = (X , P) of a groundset X (the elements of the poset) and a binary relation P on Xthat is

transitive (a ≤ b and b ≤ c implies a ≤ c),reflexive (a ≤ a) andantisymmetric (a ≤ b implies b 6≤ a (a 6= b))

6 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 8: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Diagrams

Posets are often represented by their diagrams.

Example

c ≤ a,d ≤ a,e ≤ d ,d ≤ b

e

a

c d

b

7 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 9: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Linear extensions

Let P = (P, X ) be a poset.

DefinitionA linear extension L of P is a linear order that is an extension ofP, i.e., x ≤P y ⇒ x ≤L y .

8 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 10: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Linear extensions

Example

e

a

c

b

d

a

c

b

d

e

9 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 11: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Dimension

DefinitionA family of linear extensions R = {L1, L2, . . . , Lt} of P is arealizer of P if P = ∩R. The dimension of P is the minimumcardinality of a realizer of P.

10 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 12: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Dimension

Example

e

a

c

b

d

a

c

b

d

e

b

a

d

e

c

11 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 13: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Why is dimension interesting?

Measures how close a poset is to being a linear order.Low dimension implies a compact representation.

Example

a → (5, 4)b → (3, 5)c → (4, 1)

d → (2, 3)e → (1, 2)

12 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 14: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

13 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 15: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Planar maps

A planar map is the sets of vertices (points), edges (lines) andfaces (regions) of a crossing-free drawing of a graph in theplane and the incidences between those sets.

The dual map M∗ of a planar map M is a planar map with avertex for each face in M and a face for each vertex in M like inthis example.

14 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 16: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Planar maps

Example

M∗

M

15 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 17: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Outerplanar maps

If all the vertices are on the outer face, the map is stronglyouterplanar.

If there is a different drawing of the same graph where all thevertices are on the outer face, the map is weakly outerplanar.

Example

16 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 18: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Vertex-edge-face and vertex-face posets

DefinitionThe vertex-edge-face poset PM of a planar map M is the poseton the vertices, edges and faces of M ordered by inclusion.

The vertex-face poset QM of M is the subposet of PM inducedby the vertices and faces of M.

17 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 19: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Outline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

Vertex-edge-face and vertex-face posets

Example

F∆

F∞

M

F∆ F∞

QM

PM

18 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 20: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

19 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 21: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

The Brightwell-Trotter Theorems

Theorem (Brightwell & Trotter)

Let M be a planar map. Then dim(PM) ≤ 4.

Theorem (Brightwell & Trotter)

Let M be a 3-connected planar map. Then dim(QM) = 4.

20 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 22: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

The Brightwell-Trotter Theorems

Theorem (Brightwell & Trotter)

Let M be a planar map. Then dim(PM) ≤ 4.

Theorem (Brightwell & Trotter)

Let M be a 3-connected planar map. Then dim(QM) = 4.

20 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 23: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Two questions of Brightwell and Trotter

1 For which planar maps is dim(PM) ≤ 3?

2 For which planar maps is dim(QM) ≤ 3?

We know when the dimension is at most 2.

21 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 24: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

22 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 25: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Theorem (Felsner & N.)

Let M be a planar map such that dim(PM) ≤ 3. Then both Mand the dual map M∗ are outerplanar.

23 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 26: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Observation: If M is connected, PM∗ = (PM)∗.

PM∗

M

M∗

PM

24 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 27: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Proof (sketch).A map is outerplanar if it does not contain a K4-subdivision orK2,3-subdivision.

K4K2,3

25 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 28: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Proof (sketch).If M contains a subdivision of K4, then the vertex-face poset ofsome 3-connected map is a subposet of QM . Use the secondBrightwell-Trotter Theorem.

26 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 29: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Proof (sketch).Suppose M contains a subdivision of K2,3.

P3

P2vu

P1

27 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 30: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Proof (sketch).The three paths P1, P2 and P3 induces three mutually disjointfences in PM .

vu

28 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 31: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Critical pairs

DefinitionA critical pair is a pair of incomparable elements (a, b) suchthat x < b if x < a and y > a if y > b for all x , y ∈ X \ {a, b}.

Exampleb

d

e

ab

d

e

a

c c

29 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 32: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Dimension, critical pairs

FactA family of linear extensions R = {L1, L2, . . . , Lt} of P is arealizer of P iff for each critical pair (a, b) there is some L ∈ Rsuch that b <L a. We then say that (a, b) is reversed in L.

Example

dc

b

e

a

c

b

d

e

b

a

d

e

c

a

30 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 33: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

3-dimensional V-E-F posets of planar maps

Proof (sketch).

We then show that if dim(PM) ≤ 3, then all the critical pairs ofthe poset below must reversed in a single linear extension.

But this poset has dimension 2.

31 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 34: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

DefinitionA 2-connected strongly outerplanar map with a weaklyouterplanar dual is called path-like.

Example

A 2-connected simple outerplanar map has a unique Hamiltoncycle. We can partition the edges into cycle edges and chordaledges.

32 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 35: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

DefinitionA 2-connected strongly outerplanar map with a weaklyouterplanar dual is called path-like.

Example

A 2-connected simple outerplanar map has a unique Hamiltoncycle. We can partition the edges into cycle edges and chordaledges.

32 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 36: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

DefinitionA 2-connected strongly outerplanar map with a weaklyouterplanar dual is called path-like.

Example

A 2-connected simple outerplanar map has a unique Hamiltoncycle. We can partition the edges into cycle edges and chordaledges.

32 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 37: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

DefinitionA 2-connected strongly outerplanar map with a weaklyouterplanar dual is called path-like.

Example

A 2-connected simple outerplanar map has a unique Hamiltoncycle. We can partition the edges into cycle edges and chordaledges.

32 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 38: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Alternating cycles

DefinitionAn alternating cycle is a sequence of critical pairs(a0, b0), . . . , (ak , bk ) such that ai ≤ bi+1 mod (k+1) for alli = 0, . . . , k .

Examplea

c

b

d

e

a

c

b

d

e

(b, a),(c, b) is an alternating cycle since b ≤ b and c < a.

33 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 39: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Alternating cycles, dimension

FactLet P be a poset. Then dim(P) ≤ t iff there exists a t-coloring ofthe critical pairs of P such that no alternating cycle ismonochromatic.

34 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 40: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

We can encode any 3-realizer of the V-E-F poset of a maximalpath-like map as an oriented 3-coloring of its chordal edges.

Example

However, not every oriented 3-coloring corresponds to a3-realizer . . .

35 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 41: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Path-like maps

Theorem (Felsner & N.)

Let M be a maximal path-like map. Then dim(PM) ≤ 3 if andonly if the chordal edges of M has a permissible coloring.

36 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 42: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

Outline

1 IntroductionOutline of the thesisPoset dimensionVertex-edge-face posets and vertex-face posets

2 The order dimension of planar mapsBrightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

37 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 43: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

Vertex-face posets of dimension 3 are more complicated.We still cannot have a subdivision of K4 contained in themap.Even showing the existence of a strongly outerplanar mapwith dim(QM) = 4 is a bit of work.

38 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 44: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

Theorem (Felsner & N.)

There is an outerplanar map M with dim(QM) = 4.

39 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 45: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

3-color the critical pairs of type(vertex, bounded face).All vertices are on the outerface, so the critical pairs of abounded face cannot have all3 colors.All 3 colors must appeararound a strongly interior face.

40 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 46: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 47: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 48: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 49: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 50: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 51: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 52: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 53: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 54: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 55: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 56: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Brightwell and Trotter’s resultsThe dimension of V-E-F posetsThe dimension of vertex-face posets

An example of an outerplanar map with dim(QM) = 4

41 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 57: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Summary

If dim(PM) ≤ 3, then M and M∗ are outerplanar.

If M is a maximal path-like map, dim(PM) ≤ 3 iff M has apermissible coloring.

There are strongly outerplanar maps M with dim(QM) = 4.

42 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 58: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Summary

If dim(PM) ≤ 3, then M and M∗ are outerplanar.

If M is a maximal path-like map, dim(PM) ≤ 3 iff M has apermissible coloring.

There are strongly outerplanar maps M with dim(QM) = 4.

42 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets

Page 59: Combinatorial algorithms for graphs and partially ordered setsgerth/advising/slides/johan-nilsson.pdf · 2012-11-28 · Introduction The order dimension of planar maps Summary Combinatorial

IntroductionThe order dimension of planar maps

Summary

Summary

If dim(PM) ≤ 3, then M and M∗ are outerplanar.

If M is a maximal path-like map, dim(PM) ≤ 3 iff M has apermissible coloring.

There are strongly outerplanar maps M with dim(QM) = 4.

42 Johan Nilsson Combinatorial algorithms for graphs and partially ordered sets


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