String graph explained

In graph theory, a string graph is an intersection graph of curves in the plane; each curve is called a "string". Given a graph, is a string graph if and only if there exists a set of curves, or strings, such that the graph having a vertex for each curve and an edge for each intersecting pair of curves is isomorphic to .

Background

described a concept similar to string graphs as they applied to genetic structures. In that context, he also posed the specific case of intersecting intervals on a line, namely the now-classical family of interval graphs. Later, specified the same idea to electrical networks and printed circuits. The mathematical study of string graphs began with the paper and through a collaboration between Sinden and Ronald Graham, where the characterization of string graphs eventually came to be posed as an open question at the 5th Hungarian Colloquium on Combinatorics in 1976.^[1] However, the recognition of string graphs was eventually proven to be NP-complete, implying that no simple characterization is likely to exist.

Related graph classes

Every planar graph is a string graph:^[2] one may form a string graph representation of an arbitrary plane-embedded graph by drawing a string for each vertex that loops around the vertex and around the midpoint of each adjacent edge, as shown in the figure. For any edge

of the graph, the strings for and cross each other twice near the midpoint of , and there are no other crossings, so the pairs of strings that cross represent exactly the adjacent pairs of vertices of the original planar graph. Alternatively, by the circle packing theorem, any planar graph may be represented as a collection of circles, any two of which cross if and only if the corresponding vertices are adjacent; these circles (with a starting and ending point chosen to turn them into open curves) provide a string graph representation of the given planar graph. proved that every planar graph has a string representation in which each pair of strings has at most one crossing point, unlike the representations described above.Scheinerman's conjecture, now proven, is the even stronger statement that every planar graph may be represented by the intersection graph of straight line segments, a very special case of strings.

If every edge of a given graph

is subdivided, the resulting graph is a string graph if and only if is planar. In particular, the subdivision of the complete graph shown in the illustration is not a string graph, because is not planar.^[2]

Every circle graph, as an intersection graph of line segments (the chords of a circle), is also a string graph. Every chordal graph may be represented as a string graph: chordal graphs are intersection graphs of subtrees of trees, and one may form a string representation of a chordal graph by forming a planar embedding of the corresponding tree and replacing each subtree by a string that traces around the subtree's edges.

The complement graph of every comparability graph (also known as the cocomparability graph) is also a string graph.^[3]

Computational complexity

showed string graph recognition to be NP-hard, but was not able to show that it could be solved in NP. One barrier to solving the problem in NP is that, for some string graphs, all systems of curves that realize the graph have an exponential number of crossings, so an explicit realization cannot be used as a polynomial-size witness for the graph being a string graph. Instead, subsequent research in this area focused on compressed descriptions of realizations in terms of the sequences of crossings on each string, described using the theory of formal languages. After intermediate results by and, completed the proof that the problem is in NP, and therefore is NP-complete.

showed that testing whether a string graph is

-colorable is NP-complete, for every , and even when restricted to graphs with a given string representation consisting of straight line segments. 3-colorings of string graphs, when they exist, can be found in the subexponential time bound , but a similarly fast time for more colors is unlikely, under standard complexity-theoretic assumptions: an algorithm for 4-coloring in time would contradict the exponential time hypothesis.

Other results

The smallest graph that is not a string graph has 12 vertices.

observed that induced minors of string graphs are also string graphs. Induced minors are obtained from a given graph by contracting edges and deleting vertices; unlike the more general form of graph minor they do not allow deleting edges. For graph minors, the Robertson–Seymour theorem states that any graph property closed under minors has finitely many minimal forbidden minors. However, this does not hold for induced minors, and Kratochvíl found an infinite family of minimal forbidden induced minors for string graphs.

Analogously to the planar separator theorem, every

-edge string graph can be partitioned into two subsets, each a constant fraction the size of the whole graph, by the removal of vertices. It follows that the biclique-free string graphs, string graphs containing no subgraph for some constant , have edges and more strongly have polynomial expansion.^[4]

References

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Notes and References

1. , .
2. credit this observation to .
3. and . See also and .

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