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Infinite Problems and Finite Applications Nathaniel Dean Chair & Professor, Department of Mathematics Texas State University, San Marcos, TX 78666 [email protected] The 28th Clemson Mini-Conference on Discrete Mathematics and Algorithms October 3, 2013

Infinite Problems and Finite Applications

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Infinite Problems and Finite Applications. Nathaniel Dean Chair & Professor, Department of Mathematics Texas State University, San Marcos, TX 78666 [email protected] The 28th Clemson Mini-Conference on Discrete Mathematics and Algorithms October 3, 2013. Some Infinite Problems. - PowerPoint PPT Presentation

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Page 1: Infinite  Problems and  Finite Applications

Infinite Problemsand Finite Applications

Nathaniel Dean

Chair & Professor, Department of MathematicsTexas State University, San Marcos, TX 78666

[email protected]

The 28th Clemson Mini-Conference onDiscrete Mathematics and Algorithms

October 3, 2013

Page 2: Infinite  Problems and  Finite Applications

Some Infinite Problems

• Chromatic Number of the plane– Integer & Rational Distances– Konig’s Infinity Lemma– Unit Distance Graphs– Single-walled Carbon Nanotubes (SWNTs)

• Ulam’s Lattice Point Problem– Konig’s Infinity Lemma– Ulam Number– Incomprehensible Graphs

Page 3: Infinite  Problems and  Finite Applications

Graph G = (V, E)a set V of objects and

a set E of (unordered) pairs of objects

E = {{1,2}, {1,3}, {1,7}, {1,3}, {2,6}, {3,4}, {3,6}, {4,6}, {4,7}, {4,8}, {5,6}, {5,7}, {5,9}, {7,8}, {7,9}, {8,9}}

V = {1, 2, 3, 4, 5, 6, 7, 8, 9}

Page 4: Infinite  Problems and  Finite Applications

vertexnodepoint

edgelinkline

1

2

3

4 5

6

7

8

9

Edge List12, 13,17, 13,26, 34,36, 46,47, 48,56, 57,59, 78,79, 89

Graph G = (V, E)a set V of objects and

a set E of (unordered) pairs of objects

Page 5: Infinite  Problems and  Finite Applications

Points at Rational Distance

What is the largest possible subset of points in the plane with no three of the points collinear and no four of the points concyclic, and having all interpoint distances rational?

Jessica Poole – NREUP, Summer 2003Tawfig Haj – M.S. Thesis, 2005

Charles Gabi – Undergrad Course, Fall 2006

Page 6: Infinite  Problems and  Finite Applications

Rational Distancesfor Points on a Circle

(7/10,-12/5)(-7/10,-12/5)

(-7/10,12/5)

(5/2,0)(-5/2,0)

(7/10,12/5)

Page 7: Infinite  Problems and  Finite Applications

Circles

There exists an infinite set of points on the circle x2 + y2 = r2 where the distance between any pair of them is rational. Hence, there are arbitrarily many points, no 3 collinear, with integer distances.

Page 8: Infinite  Problems and  Finite Applications

Parabola

How many points can be found on the (half) parabola y = x2, x ≥ 0, so that the distance between any pair of them is rational? > 4?

Page 9: Infinite  Problems and  Finite Applications

Points on a Parabola

(r,r²)

d2

d1

d3

y = x 2y

x

Page 10: Infinite  Problems and  Finite Applications

Infinitely Many Rational Distance Sets of Size 3

Proposition: There are infinitely many rational distance sets of 3 points on the parabola y = x2.

Proof: Pick two rational numbers, say 1 and 3, and let those be the lengths of the segments AB and BC. Fix these distances and slide the points up the parabola. The distance AC will increase, bounded above by 4. Since the rationals are dense in the reals, there are many placements of the points where AC has rational length. Hence, there are infinitely many such triples.

Page 11: Infinite  Problems and  Finite Applications

More Recent Results

• Avion Braveman (2001) and others produced three point solutions.

• Campbell (1997) used elliptic curves to compute a four point solution and proved that there are infinitely many such sets.

• Tawfig Haj (2005 Master’s thesis) by clever use of Pythagorean triples proved there are infinitely many 4-point solutions.

Page 12: Infinite  Problems and  Finite Applications

Ellipses?

Page 13: Infinite  Problems and  Finite Applications

Hyperbolas?

Page 14: Infinite  Problems and  Finite Applications

An infinite tree which is locally finite must contain an infinite path.

N

Konig’s Infinity LemmaHierarchical Structure

Page 15: Infinite  Problems and  Finite Applications

Konig’s Infinity Lemma

Proof Idea:Since there are finitely many branches, at least one of them must have an infinite subtreeGo in that direction.

Page 16: Infinite  Problems and  Finite Applications

Konig’s Infinity Lemma

Proof Idea:

Find an infinite branch of the tree.

Go in that direction.

Page 17: Infinite  Problems and  Finite Applications

Proof Idea:

Find an infinite branch of the tree.

Go in that direction.

Konig’s Infinity Lemma

Page 18: Infinite  Problems and  Finite Applications

Proof Idea:

Find an infinite branch of the tree.

Go in that direction.

Konig’s Infinity Lemma

Page 19: Infinite  Problems and  Finite Applications

Konig’s Infinity Lemma

Proof Idea:

Find an infinite branch of the tree.

Go in that direction.

Page 20: Infinite  Problems and  Finite Applications

Application of KL to Coloring(applied later to Ulam Number)

Corollary: Suppose G is a locally finite graph and any finite subgraph of G is k-colorable. Then G is k-colorable.

Proof. Create a tree as follows. Enumerate the vertices of G as v1, v2, … , and let the nth level of the tree be given by the collection Ln of all k-colorings of v1, v2, … vn. Draw an edge from any k-coloring of v1, v2, … vn to a k-coloring of v1, v2, … vn+1 iff the coloring of the n + 1 vertices extends our coloring of n vertices. This is a tree! It has infinitely many vertices, and by KL there's an infinite path. This path made of colorings that all agree with each other provides a k-coloring of all of G.

Page 21: Infinite  Problems and  Finite Applications

Chromatic Number of the Plane P

Let G be the graph in the plane where V = R2 and two points are joined by an edge when their Euclidean distance is 1.

Define P = (G)

Hadwiger-Nelson (~1950): P = ?

Any subgraph of G is called a unit distance graph.

Unit Distance Graphs

Page 22: Infinite  Problems and  Finite Applications

Some Known UDGs

Petersen Graph

Cycle Cn

Grid Graph

Page 23: Infinite  Problems and  Finite Applications

4 P (The Moser Spindle)

Page 24: Infinite  Problems and  Finite Applications

P 7 (Hexagonal Tiling)

Page 25: Infinite  Problems and  Finite Applications

P 6 ?(Pritikin -1998)

Every UDG of order 6197 is 6-colorable.

Every UDG of order 12 is 4-colorable.

Page 26: Infinite  Problems and  Finite Applications

MaximalNot Maximal

A UDG is maximal if the addition of any edge results in a graph which is not a UDG.

Page 27: Infinite  Problems and  Finite Applications

Number of Edges in a UDG

• U(n) is the maximum size of a maximal UDG of order n.

• u(n) is the minimum size of a maximal UDG of order n.

n 2 3 4 5 6 7u(n) 1 3 5 7 8 10U(n) 1 3 5 7 9 12

Purdy and Purdy (1988, CRAY computer)Chilakamarri and Mahoney (1995, by hand)

Page 28: Infinite  Problems and  Finite Applications

Maximal UDGs on 7 vertices

Page 29: Infinite  Problems and  Finite Applications

The Minimal Forbidden Graphs on ≤ 7 Vertices

Page 30: Infinite  Problems and  Finite Applications

Separable UDGs

All maximal UDGs are connected.

There are no separable UDGs with < 8 vertices.

There are only 3 separable maximal UDGs on 8 vertices.

Page 31: Infinite  Problems and  Finite Applications

ApproachGoal: Enumerate all maximal UDGs on 8 vertices

1. Find u(n) for 8 vertices– Show U(n) = 14

2. Use maximal UDGs on 7 vertices to create a list of possible UDGs on 8 vertices.

3. Reduce the list of possibilities using minimal forbidden subgraphs.

4. Use mathematical algorithms to help identify UDGs from the remaining list.

5. Draw UDGs.

6. Find exact coordinates to verify UDGs.

Page 32: Infinite  Problems and  Finite Applications

Creating a List of Possible Maximal UDGs

Starting with each of maximal UDGs on 7 vertices.

Page 33: Infinite  Problems and  Finite Applications

Process of Elimination

Created list of possible non-isomorphic graphs from maximal UDGs on 7 vertices

Eliminated graphs not 2-connected

Eliminated graphs containing forbidden graphs

Eliminated graphs without a triangle

Identified rigid subgraphs by hand

Eliminated non-maximal UDGs

Proved or disproved each using Geometer’s Sketchpad

Verified most results with algebraic geometry formulation

Found exact coordinates from drawings and systems of equations

1216

118

94

Page 34: Infinite  Problems and  Finite Applications

61 Maximal UDGs on 8 Vertices

Page 35: Infinite  Problems and  Finite Applications

Ongoing Work

• Find all forbidden graphs on 8 vertices.

• Enumerate all maximal UDGs on 9 vertices.

• Proofs for general properties

• UDGs in higher dimensions• Heawood graph

Page 36: Infinite  Problems and  Finite Applications

Carbon Nanotubes

Page 37: Infinite  Problems and  Finite Applications

Mathematical Programming Model of Bond Length and Angular Resolution of

Carbon Nanotubes

Page 38: Infinite  Problems and  Finite Applications

Homomorphism

• If xy E(G), then f(x)f(y) E(H) or f(x) = f(y) and

• If ab E(H), then there exists x,y V(G) such that f(x)=a, f(y)=b, and xy E(G).

A surjective map f: V(G) V(H) of G onto H where

Page 39: Infinite  Problems and  Finite Applications

Homomorphism

Page 40: Infinite  Problems and  Finite Applications

Homomorphism

Page 41: Infinite  Problems and  Finite Applications

Another Homomorphism

Page 42: Infinite  Problems and  Finite Applications

A homomorph H of G is a uniformly bounded homomorph if for some integer m every vertex x of H satisfies

.|)(| 1 mxf

Ulam number u(G) = min {(H): H is a uniformly bounded homomorph of G}.

• u(G) (G).• H is a homomorph of G u(H) u(G).• F G u(F) u(G).

(K. Chilakamarri and N. Dean, 1995)

Page 43: Infinite  Problems and  Finite Applications

Corollary: Every finite homomorph of contains as a subgraph.

Konig: Every infinite graph contains• infinitely many components,• a vertex of infinite degree, or• an infinite path.

NN

Corollary: 2)( Nu

Page 44: Infinite  Problems and  Finite Applications

.L

(K. Chilakamarri and N. Dean, 1995)

A graph has a good drawing in k if it can be drawn in k so that

• a function h:++ every subset of k of diameter ≤ d contains ≤ h(d) verticesAND

• L + every edge has length ≤ L.

Page 45: Infinite  Problems and  Finite Applications

If G has a good drawing in a plane stripof fixed width, then u(G) 2.

L

Shrinking each cell to a vertex yields a homomorph isomorphic to a collection of paths.

Page 46: Infinite  Problems and  Finite Applications

If G has a good drawing in the plane, then u(G) 6.

L

Shrinking each cell to a vertex yields a homomorph isomorphic to a subgraph of the triangular grid.

Page 47: Infinite  Problems and  Finite Applications

(not a good drawing )

u(G) 3 every drawing of G in any strip [0,N] x R is incomprehensible.

u(G) 7 every drawing of G in the plane is incomprehensible.

• d + such that, for any integer N, there is a region of diameter ≤ d containing ≥ N verticesOR

• Edges are arbitrarily long.

Page 48: Infinite  Problems and  Finite Applications

Final Remarks

• Key IdeaKonig’s Infinity Lemma

• Goals– Generalize it (infinite).– Apply it (finite).