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Geometric Graphs and QuasiPlanar Graphs

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Title: Geometric Graphs and QuasiPlanar Graphs


1
Geometric GraphsandQuasi-Planar Graphs
  • Dafna Tanenzapf

2
Definition Geometric Graph
  • A geometric graph is a graph
    drawn in the plane by straight-line segments .
  • There are no three points in which are
    collinear.
  • The edges of can be possibly crossing.

3
Forbidden Geometric Graphs
  • Given a class H of forbidden geometric graphs
    determine (or estimate) the maximum number
    of edges that a geometric graph with n
    vertices can have without containing a subgraph
    belonging to H.

4
Definition
  • Let be the class of all geometric graphs
    with vertices, consisting of pairwise
    disjoint edges ( ).
  • Example (k2)

5
Theorem
  • Let be the maximum number of edges
    that a geometric graph with n vertices can have
    without containing two disjoint edges
    (straight-line thrackle). Then for every

6
Theorem (Goddard and others)
  • Let be the maximum number of edges
    that a geometric graph with n vertices can have
    without containing three disjoint edges. Then

7
Definitions
  • Edge xy is Leftmost at x if we can rotate it by
    (180 degrees) counter-clockwise around x
    without crossing any other edge of x.
  • A vertex x is called pointed if it has an angle
    between two consecutive edges that is bigger than
    .

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8
Proof
  • Let G be a geometric graph with n vertices and at
    least 3n1 edges.
  • We will show that there exist three edges which
    are disjoint.

9
Proof - Continue
  • For each pointed vertex at G, delete the leftmost
    edge.
  • We will denote the new subgraph as G1.
  • For each vertex at G1 delete an edge if there are
    no two edges from its right (begin from the
    leftmost edge of every vertex).

10
Proof - continue
  • Examples
  • E1 E2 E3
    E4
  • Number of deleted edges
  • 1 2 3
    3

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11
Proof - continue
  • For every vertex we deleted at most 3 edges.
  • The remaining graph has at least one edge x0y0
  • (3n1-3n1).
  • In G1 there were two edges to the right of x0y0
  • x0y1 and x0y2.
  • In G1 there were two edges to the right of x0y0
  • y0x1 and y0x2.

12
Proof - continue
  • In G there was the edge x2y to the left of x2y0.
  • In G there was the edge y2x to the left of y2x0.
  • WLOG we can assume that the intersection of x0y2
    and y0x2 is on the same side of y2
  • (if we split the plane into two parts by
    x0y0).
  • The edges y0x2, x0y1, y2x dont intersect.

13
Conclusions
  • The upper bound is
  • The lower bound is

14
Whats next?
  • Dilworth Theorem
  • Pach and Torocsik Theorem

15
Definition Partially ordered sets
  • A partially ordered set is a pair .
  • X is a set.
  • is a reflexive, antisymmetric and transitive
    binary relation on X.
  • are comparable if or
    .
  • If any two elements of a subset are
    comparable, then C is a chain.
  • If any two elements of a subset are
    incomparable, then C is an antichain.

16
Theorem (Dilworth)
  • Let be a finite partially ordered set.
  • If the maximum length of a chain is k, then X can
    be partitioned into k antichains.
  • If the maximum length of an antichain is k, then
    X can be partitioned into k chains.

17
Explanation (Dilworth Theorem)
  • If the maximum length of a chain is k, then X can
    be partitioned into k antichains.
  • For any x X, define the rank of x as the size
    of the longest chain whose maximal element is x.
  • 1rank(x)k
  • The set of all elements of the same rank is an
    antichain.
  • If the maximum length of an antichain is k, then
    X can be partitioned into k chains.
  • It can be shown by induction on k.

18
Definitions
  • Let uv and uv be two edges.
  • For any vertex v let x(v) be the x-coordinate and
    let y(v) be the y-coordinate.
  • Suppose that x(u)ltx(v) and x(u)ltx(v).
  • uv precedes uv (uvltltuv) if
  • x(u) x(u) and x(v) x(v).
  • The edge uv lies below uv if there is no
    vertical line l that intersects both uv and uv
    such that y(lnuv) y(lnuv).

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Theorem (Pach and Torocsik)
  • Let denote the maximum number of
    edges that a geometric graph with n vertices can
    have without containing k1 pairwise disjoint
    edges.
  • Then for every k,n 1

20
Proof
  • Let G be a geometric graph with n vertices,
    containing no k1 pairwise disjoint edges.
  • WLOG, no two vertices of G have the same
  • x-coordinate.
  • Let uv and uv be two disjoint edges of G such
    that uv lies below uv.

21
Proof - continue
  • We define four binary relations on E(G)
  • uv lt1 uv if uvltltuv.
  • uv lt2 uv if uvltltuv.
  • uv lt3 uv if x(u),x(v) x(u),x(v).
  • uv lt4 uv if x(u),x(v) x(u),x(v).

22
Proof - continue
23
Proof - continue
  • We can conclude from the definitions that
  • is a partially ordered set
    .
  • Any pair of disjoint edges is comparable by at
    least one of the relations .

24
Proof - continue
  • cannot contain a chain of length
    k1.
  • Otherwise, G has k1 pairwise disjoint edges.
  • According to the previous theorem, for any i,
    E(G) can be partitioned into at most k
    anti-chains (classes), so that no two edges
    belonging to the same class are comparable by
    .
  • The edges can be partitioned into classes Ej
    , such that no two
    elements of Ej are comparable by any relation.

25
Proof - continue
  • From the second conclusion, any Ej does not
    contain two disjoint edges.
  • We saw earlier that .
  • Then
  • To sum up

26
Definition Quasi Planar Graphs
  • A graph is called quasi planar if it can be drawn
    in the plane so that no three of its edges are
    pairwise crossing.

27
Motivation
  • We want to find an upper bound to the number of
    edges of quasi-planar graph.
  • Pach had shown that a quasi-planar graph with n
    vertices has edges.
  • For the general case, k-quasi-planar graph
    (a graph with no k pairwise crossing edges), the
    upper bound is
  • We will prove a Theorem.
  • Its conclusion will be that the upper bound is
  • (can be shown in
    induction).

28
Theorem (Agarwal, Aronov, Pach, Pollack and
Sharir)
  • If G(V,E) is a quasi-planar graph (undirected,
    without loops or parallel edges), then
    EO(V).
  • We will prove the theorem for the case that G has
    a straight-line drawing in the plane with no
    three pairwise crossing edges.

29
Definition
  • The arrangement A(E) of E(G) is a complex set
    consisted of
  • Nodes NV(G) X(G)X(G)crossing points.
  • Segments SE(G)E(G)the edges between the
    vertices of N.
  • Faces Fthe faces of the graph G(N,S).

30
Definition
  • The complexity f of f F is the number of
    segments in S on the boundary f of f.
  • If a segment is in the interior of f, then it
    contributes 2 to f.

31
Lemma2
  • Let G(V,E) be a quasi-planar graph drawn in the
    plane.
  • The complexity of all f of A(E) such that
  • f is a non-quadrilateral face.
  • f is quadrilateral face incident to at least on
    vertex of G.
  • is O(VE).

32
Definition
  • A graph is called overlap graph if its vertices
    can be represented by intervals on a line so that
    two vertices are adjacent if and only if the
    corresponding intervals overlap but neither of
    them contains the other.

33
Proof (Theorem)
  • Let G be a quasi-planar graph drawn in the plane
    with n vertices.
  • WLOG G is a connected graph.
  • Let G0(V,E0) be a spanning tree of G, E0n-1
  • EE\E0.
  • G G0

34
Proof - continue
  • Each face of A(E0) is simply connected.
  • By Lemma 2, the complexity of non-quadrilateral
    and quadrilateral faces of A(E0) incident to a
    point of V is O(n).
  • We call the remaining faces of A(E0) crossing
    quadrilateral.

35
Proof - continue
  • For each edge e E, let ?(e) denote the set of
    segments of A(E0 e) that are contained in e.
  • Every s ?(e) is fully contained in some face
    f A(E0) and its two endpoints lie on
    f.

36
Proof - continue
  • For each f A(E0) let X(f) denote the set of all
    segments in that are contained in f.
  • Any two segments in X(f) cross each other if and
    only if their endpoints alternate along f.
  • We cut the face in some vertex and get an open
    interval.
  • Two elements of X(f) cross each other if and only
    if the corresponding
  • intervals overlap.

37
Proof - continue
  • This defines a triangle-free overlap graph on the
    vertices X(f).
  • By Gyarfas and Kostochka, every triangle-free
    overlap graph can be colored by 5 colors.
  • Therefore, the segments of X(f) can be colored by
    at most 5 colors, so that no two segments with
    the same color cross each other.

38
Proof - continue
  • For each f A(E0) let H(f) denote the quasi-
    planar graph whose edges are X(f).
  • A monochromatic graph is a graph which all its
    edges are colored in one color.
  • Let f A(E0) be a face that is not crossing
    quadrilateral.
  • Let H1(f),,H5(f) be the monochromatic subgraphs
    of H.

39
Proof - continue
  • We fix one of Hi, assume WLOG H1, and we
    reinterpret it to a new graph
  • every edge on the boundary of the face and
    vertices of V on the boundary will be a vertex,
    and all the interior segments will be the edges
    in the new graph.
  • The resulting graph H1 is planar.

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40
Proof - continue
  • Face of H1(f) is a digon if it is bounded by
    two edges of H1(f).
  • Edge of H1(f) is shielded if both of the faces
    incident to it are digons.
  • The remaining edges of H1(f) are called exposed.

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Proof - continue
  • By Eulers formula (E3V-6), there are at
    most O(nf) exposed edges in H1(f).
  • nf is the number of vertices of H1(f).
  • nf2f.

42
Proof - continue
  • We repeat this analysis for every Hi(f) (2i5).
  • The number of edges e E containing at least
    one exposed segment is .
  • By Lemma2, this sum is O(n).
  • We need to bound the number of e E with no
    exposed segments (shielded edges).

43
Lemma 3
  • There are no shielded edges.

44
Proof - continue
  • The total number of edges of E is O(n).
  • The total number of edges of E is O(n).
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