Type-0 triangles Gunnar Brinkmann 1 Kenta Ozeki 2 Nico Van Cleemput 1 - - PowerPoint PPT Presentation

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Type-0 triangles Gunnar Brinkmann 1 Kenta Ozeki 2 Nico Van Cleemput 1 - - PowerPoint PPT Presentation

Introduction Motivation Bounds Future Type-0 triangles Gunnar Brinkmann 1 Kenta Ozeki 2 Nico Van Cleemput 1 1 Combinatorial Algorithms and Algorithmic Graph Theory Department of Applied Mathematics, Computer Science and Statistics Ghent


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Introduction Motivation Bounds Future

Type-0 triangles

Gunnar Brinkmann1 Kenta Ozeki2 Nico Van Cleemput1

1Combinatorial Algorithms and Algorithmic Graph Theory

Department of Applied Mathematics, Computer Science and Statistics Ghent University

2National Institute of Informatics

Tokyo, Japan

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Outline

1

Introduction Definitions

2

Motivation 2-walks Domination

3

Bounds Which type? Upper bound Lower bound The gap

4

Future Sides

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Plane triangulation

A (plane) triangulation is a plane graph in which each face is a triangle.

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Introduction Motivation Bounds Future Definitions

Hamiltonian cycle

A hamiltonian cycle C in a graph G = (V, E) is a spanning subgraph of G which is isomorphic to a cycle.

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Introduction Motivation Bounds Future Definitions

4-connected triangulations

Theorem (Whitney, 1931) Every 4-connected triangulation is hamiltonian.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Type-i triangle

A type-i triangle (i ∈ {0, 1, 2}) in a hamiltonian triangulation G containing a hamiltonian cycle C is a facial triangle of G containing i edges of C.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Type-i triangle

A type-i triangle (i ∈ {0, 1, 2}) in a hamiltonian triangulation G containing a hamiltonian cycle C is a facial triangle of G containing i edges of C. type-0 triangles

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Type-i triangle

A type-i triangle (i ∈ {0, 1, 2}) in a hamiltonian triangulation G containing a hamiltonian cycle C is a facial triangle of G containing i edges of C. type-1 triangles

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Type-i triangle

A type-i triangle (i ∈ {0, 1, 2}) in a hamiltonian triangulation G containing a hamiltonian cycle C is a facial triangle of G containing i edges of C. type-2 triangles

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Definitions

Type-i triangle

A type-i triangle (i ∈ {0, 1, 2}) in a hamiltonian triangulation G containing a hamiltonian cycle C is a facial triangle of G containing i edges of C. ti(G, C) = |{T,T is a type-i triangle in G for C}|

If G and C are clear from the context we just write ti.

t0(G) = min{ti(G, C),C is hamiltonian cycle in G} t0(t) = max{ti(G),G is 4-connected triangulation with t triangles}

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Introduction Motivation Bounds Future Definitions

(i, j)-pairs

Let G be a plane triangulation and let C be a hamiltonian cycle in G. An (i, j)-pair (i, j ∈ {1, 2}) is a pair of adjacent triangles consisting of a type-i triangle and a type-j triangle such that the shared edge is contained in C.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future 2-walks Domination

Outline

1

Introduction Definitions

2

Motivation 2-walks Domination

3

Bounds Which type? Upper bound Lower bound The gap

4

Future Sides

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Introduction Motivation Bounds Future 2-walks Domination

2-walk

A 2-walk is a spanning closed walk such that each vertex is visited at most twice. Theorem (Gao and Richter, 1994) Every 3-connected plane graph contains a 2-walk.

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Introduction Motivation Bounds Future 2-walks Domination

3-tree

A 3-tree is a spanning tree with maximum degree at most 3.

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Introduction Motivation Bounds Future 2-walks Domination

2-walk vs. 3-tree

Every graph that contains a 2-walk also contains a 3-tree.

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Introduction Motivation Bounds Future 2-walks Domination

3-tree

Theorem (Nakamoto, Oda, and Ota, 2008) Every 3-connected plane graph on n ≥ 7 vertices contains a 3-tree with at most n−7

3

vertices of degree 3.

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Introduction Motivation Bounds Future 2-walks Domination

Back to 2-walks

Is there a counterpart of this theorem for 2-walks? Does each 3-connected plane graph contain a 2-walk such that the number of vertices visited twice is at most n

3 + constant?

Does each 3-connected plane triangulation contain such a 2-walk?

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Introduction Motivation Bounds Future 2-walks Domination

Few type-0 triangles

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future 2-walks Domination

Few type-0 triangles

4-connected parts

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Introduction Motivation Bounds Future 2-walks Domination

Few type-0 triangles

Take a hamiltonian cycle in each 4-connected part. If an edge

  • f a separating triangle is contained in such a hamiltonian

cycle, then we can detour it to the other side of the hamiltonian cycle ‘without creating a vertex visited twice’. This is not an exact correspondence, but only an approximation, since specific configurations might still lead to vertices visited twice.

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Introduction Motivation Bounds Future 2-walks Domination

Domination in triangulations

Theorem (Matheson and Tarjan, 1996) The domination number of any plane triangulation on n ≥ 3 vertices is at most n

3.

Conjecture (Matheson and Tarjan, 1996) The domination number of any plane triangulation on n ≥ 4 vertices is at most n

4.

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Introduction Motivation Bounds Future 2-walks Domination

Domination in 4-connected triangulations

Theorem (Plummer, Ye, and Zha, 2016) The domination number of a 4-connected plane triangulation on n ≥ 4 vertices is at most 5n

16.

Proof based on hamiltonian cycle with a small number of type-2 triangles. More precise: if a plane triangulation G contains a hamiltonian cycle with few triangles of type-2 on one side, then G has a ‘small’ dominating set.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Outline

1

Introduction Definitions

2

Motivation 2-walks Domination

3

Bounds Which type? Upper bound Lower bound The gap

4

Future Sides

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Which type?

Let T be a subcubic tree with V vertices and E edges. Denote by Vi the number of vertices of degree i. Counting edges around each vertex gives 3V3 + 2V2 + V1 = 2E. Number of edges is one less than number of vertices, so V3 + V2 + V1 − 1 = E. Combined this gives V1 = V3 + 2.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Which type?

Inner dual of either side of a hamiltonian cycle in a plane triangulation is a subcubic tree.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Which type?

Inner dual of either side of a hamiltonian cycle in a plane triangulation is a subcubic tree.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Which type?

Type-i triangles correspond to vertices of degree 3 − i in these trees.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Which type?

Using V1 = V3 + 2, we find t2 = t0 + 4. Combining this with t = t0 + t1 + t2, we find t1 = t − 2t0 − 4. The following are all equivalent: finding the minimal value for t0 finding the maximal value for t1 finding the minimal value for t2

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Neighbourhoods of (2, 2)-pairs

2 2 1 1 A 2 2 1 1 1 B 2 2 1 1 1 1 C 2 2 1 2 D 2 2 1 2 1 E 2 2 2 2 F

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Only certain neighbourhoods

Lemma Let G be a 4-connected plane triangulation. Let C be a hamiltonian cycle in G such that C has the smallest number of type-0 triangles among all hamiltonian cycles of G. Then C has no neighbourhood of type D, E, or F .

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Neighbourhoods of (2, 2)-pairs

2 2 1 1 A 2 2 1 1 1 B 2 2 1 1 1 1 C 2 2 1 2 D 2 2 1 2 1 E 2 2 2 2 F

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Z-switching

Whenever we have a (2, 2)-pair, we can perform a Z-switching.

2 2 x y z w 2 2 x − 1 y − 1 z + 1 w + 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: no D

2 2 1 2 D 2 2 1 1 1 B

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: no F

2 2 2 2 F 2 2 1 1 1 1 C

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: E?

2 2 1 2 1 E 2 2 1 1 2 E

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: E?

2 2 1 2 1 E 2 2 1 1 2 E

¨

  • Brinkmann, Ozeki, Van Cleemput

Type-0 triangles

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Proof of lemma: E?

2 2 1 2 1 E 2 1 1 1 2 1 ?

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: EE-neighbourhoods

1 2 2 2 1 1 1

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: moving along the cycle

1 2 2 2 1 x 1 1 1 1 2 2 2 x 1 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: moving along the cycle

1 2 2 2 1 x 1 1 1 1 2 2 2 x 1 1

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Proof of lemma: only one EE-triangulation

1 2 2 2 1 1

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Proof of lemma: only one EE-triangulation

1 2 2 2 1 1

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

(1,2)-pairs

Corollary Let G be a 4-connected plane triangulation. Let C be a hamiltonian cycle in G such that C has the smallest number of type-0 triangles among all hamiltonian cycles of G. Then each type-2 triangle for C is contained in at least one (1,2)-pair. This implies: there are at least as many type-1 triangles as there are type-2 triangles.

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

At least one non-conformist edge

Lemma Let G be a 4-connected plane triangulation. Let C be a hamiltonian cycle in G such that C has the smallest number of type-0 triangles among all hamiltonian cycles of G. Then C contains at least one edge that is not incident to a type-2 triangle contained in a (2,2)-pair. 2 1 1 0/1 1 1

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Proof of lemma: a chain of (2,2)-pairs

Assume each edge of C is incident to a type-2 triangle contained in a (2,2)-pair.

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Proof of lemma: position of chord

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: position of chord

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: position of chord

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: hamiltonian cycle near chord triangle

2 2 2 2 x 2 2 2 2 1

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: hamiltonian cycle near chord triangle

2 2 2 2 x 2 2 2 2 1

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Proof of lemma: hamiltonian cycle near chord triangle

2 2 2 2 2 2 2 2 1

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Proof of lemma: existence of type-1 chord triangle

2 2 2 2 2 2 1

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Proof of lemma: rerouting the hamiltonian cycle

2 2 2 2 1 1 y 2 1 2 1 2 1 y + 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: rerouting the hamiltonian cycle

2 2 2 2 1 1 y 2 1 2 1 2 1 y + 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: rerouting the hamiltonian cycle

2 2 2 2 1 1 2 1 2 1 2 1 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Which type? Upper bound Lower bound The gap

Proof of lemma: rerouting the hamiltonian cycle

2 2 2 2 1 1 1 2 1 2 1 2 1 2

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Proof of lemma: rerouting the hamiltonian cycle

2 2 2 2 1 1 1 2 1 2 1 2 1 2

¨

  • Brinkmann, Ozeki, Van Cleemput

Type-0 triangles

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Proof of lemma: some more detours

2 2 2 2 2 2 1 1 1 2 1 2 2 1 2 1 2 1 1 2 2 2 2 2 2 1 1 1 0 2 1 2 2 1 2 2 1 0 1 1

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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An upper bound for t0

Each type-2 triangle is contained in at least one (1,2)-pair. There is at least one of the following:

a type-2 triangle contained in two (1,2)-pairs, or a (1,1)-pair.

This gives us t2 ≤ t1 − 1

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An upper bound for t0

t = t0 + t1 + t2 = t0 + t1 + t0 + 4 ≥ t0 + t0 + 5 + t0 + 4 This gives us t0 ≤ t 3 − 3.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Lunes

N S E W N S W E W E W E W E W E W E W E Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Hamiltonian cycle through lune

If there are k lunes, then at least k − 8 lunes contain two type-0 triangles. 2 2 1 1

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A graph with many type-0 triangles

Gk contains k of these lunes. t0(Gk) ≥ 2k − 16 = 6k − 48 3 = t 3 − 16 Lower bound t0(Gk) is asymptotically equal to upper bound.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Visiting the poles

1 2 1 1 1 1 1 2 1 1 2 1 1 1 1 1 2 1

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A lower bound

t0(Gk, C) = 2(k − 3) = 6k − 18 3 = t 3 − 6 C is actually a hamiltonian cycle with the minimum number of type-0 triangles. t0(Gk) = t 3 − 6

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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The gap

t 3 − 6 ≤ t0 ≤ t 3 − 3

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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The gap

t 3 − 6 ≤ t0 ≤ t 3 − 3

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Sides

Outline

1

Introduction Definitions

2

Motivation 2-walks Domination

3

Bounds Which type? Upper bound Lower bound The gap

4

Future Sides

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Sides

Which side?

2 2 1 1

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Introduction Motivation Bounds Future Sides

Which side?

2 2 1 1

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Introduction Motivation Bounds Future Sides

Which side?

2 2 1 1

¨

  • Brinkmann, Ozeki, Van Cleemput

Type-0 triangles

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Introduction Motivation Bounds Future Sides

5-connected case

There is a family of 5-connected triangulations with t0 = t 6 − 8

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Sides

5-connected case

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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5-connected case

. . . . . .

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Introduction Motivation Bounds Future Sides

5-connected case

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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Introduction Motivation Bounds Future Sides

5-connected case

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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5-connected case

In general at least two type-0 triangles per building block, so this gives t0 = t 6 − 8 However, . . .

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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5-connected case

. . . . . .

Brinkmann, Ozeki, Van Cleemput Type-0 triangles

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5-connected case

. . . . . .

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5-connected case

Conjecture There exists a family of 5-connected triangulations such that each hamiltonian cycle has a linear number of type-0 triangles

  • n either side.

Brinkmann, Ozeki, Van Cleemput Type-0 triangles