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Eigenvalues and geometric representations of graphs László Lovász Microsoft Research One Microsoft Way, Redmond, WA 98052

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Presentation on theme: "Eigenvalues and geometric representations of graphs László Lovász Microsoft Research One Microsoft Way, Redmond, WA 98052"— Presentation transcript:

1 Eigenvalues and geometric representations of graphs László Lovász Microsoft Research One Microsoft Way, Redmond, WA 98052 lovasz@microsoft.com

2 Every planar graph can be drawn in the plane with straight edges Fáry-Wagner planar graph

3 Steinitz 1922 Every 3-connected planar graph is the skeleton of a convex 3-polytope. 3-connected planar graph

4 Rubber bands and planarity Every 3-connected planar graph can be drawn with straight edges and convex faces. Tutte (1963)

5 Rubber bands and planarity outer face fixed to convex polygon edges replaced by rubber bands Energy: Equilibrium: Demo

6 G 3-connected planar rubber band embedding is planar Tutte (Easily) polynomial time computable Maxwell-Cremona Lifts to Steinitz representation if outer face is a triangle

7 If the outer face is a triangle, then the Tutte representation is a projection of a Steinitz representation. If the outer face is a not a triangle, then go to the polar. F F’ p’ p

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10 G: arbitrary graph A,B  V, | A |=| B |= 3 A: triangle edges: rubber bands Energy: Equilibrium: Rubber bands and connectivity

11 ()() For almost all choices of edge strengths: B noncollinear   3 disjoint ( A,B )-paths Linial-L- Wigderson cutset

12 For almost all choices of edge strengths: B affine indep   k disjoint ( A,B )-paths Linial-L- Wigderson ()() strengthen

13  edges strength s.t. B is independent for a.a. edge strength, B is independent no algebraic relation between edge strength

14 The maximum cut problem maximize Applications: optimization, statistical mechanics…

15 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations? C

16 C Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

17 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

18 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

19 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

20 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

21 Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

22 NP-hard with 6% error Hastad Polynomial with  12% error Goemans-Williamson Easy with 50% error Erdős Bad news: Max Cut is NP-hard Approximations?

23 How to find the minimum energy position? dim=1: Min E = 4·Max Cut Min E  4·Max Cut in any dim dim=2: probably hard  dim= n : Polynomial time solvable! semidefinite optimization spring (repulsive) Energy:

24 random hyperplane Expected number of edges cut: Probability of edge ij cut: minimum energy in n dimension

25 Stresses of tensegrity frameworks bars struts cables x y Equilibrium:

26 There is no non-zero stress on the edges of a convex polytope Cauchy Every simplicial 3-polytope is rigid.

27 If the edges of a planar graph are colored red and bule, then  (at least 2) nodes where the colors are consecutive.

28 3 1 4 5 3 9 10 9 2 2 2 3 3

29 Every triangulation of a quadrilateral can be represented by a square tiling of a rectangle. Schramm

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31 Coin representation Every planar graph can be represented by touching circles Koebe (1936) Discrete Riemann Mapping Theorem

32 Representation by orthogonal circles A planar triangulation can be represented by orthogonal circles  no separating 3- or 4-cycles Andre’ev Thurston

33 Polyhedral version Andre’ev Every 3-connected planar graph is the skeleton of a convex polytope such that every edge touches the unit sphere

34 From polyhedra to circles horizon

35 From polyhedra to representation of the dual


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