In the mathematical theory of
matroids, a minor of a matroid ''M'' is another matroid ''N'' that is obtained from ''M'' by a sequence of restriction and contraction operations. Matroid minors are closely related to
graph minors, and the restriction and contraction operations by which they are formed correspond to edge deletion and edge contraction operations in graphs. The theory of matroid minors leads to structural decompositions of matroids, and characterizations of matroid families by forbidden minors, analogous to the corresponding theory in graphs.
Definitions
If ''M'' is a matroid on the set ''E'' and ''S'' is a subset of ''E'', then the restriction of ''M'' to ''S'', written ''M'' , ''S'', is the matroid on the set ''S'' whose independent sets are the independent sets of ''M'' that are contained in ''S''. Its circuits are the circuits of ''M'' that are contained in ''S'' and its
rank function is that of ''M'' restricted to subsets of ''S''.
If ''T'' is an independent subset of ''E'', the contraction of ''M'' by ''T'', written ''M''/''T'', is the matroid on the underlying set ''E − T'' whose independent sets are the sets whose union with ''T'' is independent in ''M''. This definition may be extended to arbitrary ''T'' by choosing a basis for ''T'' and defining a set to be independent in the contraction if its union with this basis remains independent in ''M''. The rank function of the contraction is
A matroid ''N'' is a minor of a matroid ''M'' if it can be constructed from ''M'' by restriction and contraction operations.
In terms of the
geometric lattice formed by the flats of a matroid, taking a minor of a matroid corresponds to taking an interval of the lattice, the part of the lattice lying between a given lower bound and upper bound element.
Forbidden matroid characterizations
Many important families of matroids are closed under the operation of taking minors: if a matroid ''M'' belongs to the family, then every minor of ''M'' also belongs to the family. In this case, the family may be characterized by its set of "forbidden matroids", the minor-minimal matroids that do not belong to the family. A matroid belongs to the family if and only if it does not have a forbidden matroid as a minor. Often, but not always, the set of forbidden matroids is finite, paralleling the
Robertson–Seymour theorem which states that the set of forbidden minors of a minor-closed graph family is always finite.
An example of this phenomenon is given by the
regular matroids, matroids that are representable over all fields. Equivalently a matroid is regular if it can be represented by a
totally unimodular matrix (a matrix whose square submatrices all have determinants equal to 0, 1, or −1). proved that a matroid is regular if and only if it does not have one of three forbidden minors: the
uniform matroid (the four-point line), the
Fano plane, or the
dual matroid of the Fano plane. For this he used his difficult
homotopy theorem. Simpler proofs have since been found.
The
graphic matroids, matroids whose independent sets are the forest subgraphs of a graph, have five forbidden minors: the three for the regular matroids, and the two duals of the graphic matroids for the graphs ''K''
5 and ''K''
3,3 that by
Wagner's theorem
In graph theory, Wagner's theorem is a mathematical forbidden graph characterization of planar graphs, named after Klaus Wagner, stating that a finite graph is planar if and only if its minors include neither ''K''5 (the complete graph on f ...
are forbidden minors for the
planar graph
In graph theory, a planar graph is a graph that can be embedded in the plane, i.e., it can be drawn on the plane in such a way that its edges intersect only at their endpoints. In other words, it can be drawn in such a way that no edges cross ...
s.
The
binary matroids, matroids representable over the two-element
finite field, include both graphic and regular matroids. Tutte again showed that these matroids have a forbidden minor characterization: they are the matroids that do not have the four-point line as a minor.
Rota conjectured that, for any finite field, the matroids representable over that field have finitely many forbidden minors. A full proof of this conjecture has been announced by Geelen, Gerards, and Whittle; it has not appeared. However, the matroids that can be represented over the
real numbers have infinitely many forbidden minors.
Branchwidth
Branch-decomposition
In graph theory, a branch-decomposition of an undirected graph ''G'' is a hierarchical clustering of the edges of ''G'', represented by an unrooted binary tree ''T'' with the edges of ''G'' as its leaves. Removing any edge from ''T'' partitions t ...
s of matroids may be defined analogously to their definition for graphs.
A branch-decomposition of a matroid is a
hierarchical clustering
In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into ...
of the matroid elements, represented as an unrooted binary tree with the elements of the matroid at its leaves. Removing any edge of this tree partitions the matroids into two disjoint subsets; such a partition is called an e-separation. If ''r'' denotes the rank function of the matroid, then the width of an e-separation is defined as . The width of a decomposition is the maximum width of any of its e-separations, and the branchwidth of a matroid is the minimum width of any of its branch-decompositions.
The branchwidth of a graph and the branchwidth of the corresponding
graphic matroid may differ: for instance, the three-edge
path graph and the three-edge
star
A star is an astronomical object comprising a luminous spheroid of plasma (physics), plasma held together by its gravity. The List of nearest stars and brown dwarfs, nearest star to Earth is the Sun. Many other stars are visible to the naked ...
have different branchwidths, 2 and 1 respectively, but they both induce the same graphic matroid with branchwidth 1.
However, for graphs that are not trees, the branchwidth of the graph is equal to the branchwidth of its associated graphic matroid. The branchwidth of a matroid always equals the branchwidth of its dual.
[.]
Branchwidth is an important component of attempts to extend the theory of graph minors to matroids: although
treewidth can also be generalized to matroids, and plays a bigger role than branchwidth in the theory of graph minors, branchwidth has more convenient properties in the matroid setting.
[.]
If a minor-closed family of matroids representable over a finite field does not include the graphic matroids of all planar graphs, then there is a constant bound on the branchwidth of the matroids in the family, generalizing similar results for minor-closed graph families.
Well-quasi-ordering
The
Robertson–Seymour theorem implies that every matroid property of ''graphic'' matroids characterized by a list of forbidden minors can be characterized by a finite list. Another way of saying the same thing is that the
partial order on graphic matroids formed by the minor operation is a
well-quasi-ordering. However, the example of the real-representable matroids, which have infinitely many forbidden minors, shows that the minor ordering is not a well-quasi-ordering on all matroids.
Robertson and Seymour conjectured that the matroids representable over any particular
finite field are well-quasi-ordered. So far this has been proven only for the matroids of bounded branchwidth.
Matroid decompositions
The
graph structure theorem is an important tool in the theory of graph minors, according to which the graphs in any minor-closed family can be built up from simpler graphs by
clique-sum operations. Some analogous results are also known in matroid theory. In particular,
Seymour's decomposition theorem states that all regular matroids can be built up in a simple way as the clique-sum of graphic matroids, their duals, and one special 10-element matroid.
[.] As a consequence,
linear programs defined by totally unimodular matrices may be solved combinatorially by combining the solutions to a set of
minimum spanning tree problems corresponding to the graphic and co-graphic parts of this decomposition.
Algorithms and complexity
One of the important components of graph minor theory is the existence of an algorithm for testing whether a graph ''H'' is a minor of another graph ''G'', taking an amount of time that is polynomial in ''G'' for any fixed choice of ''H'' (and more strongly
fixed-parameter tractable if the size of ''H'' is allowed to vary). By combining this result with the Robertson–Seymour theorem, it is possible to recognize the members of any minor-closed graph family in
polynomial time
In computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations performed by ...
. Correspondingly, in matroid theory, it would be desirable to develop efficient algorithms for recognizing whether a given fixed matroid is a minor of an input matroid. Unfortunately, such a strong result is not possible: in the
matroid oracle model, the only minors that can be recognized in polynomial time are the
uniform matroids with rank or corank one. However, if the problem is restricted to the matroids that are representable over some fixed finite field (and represented as a matrix over that field) then, as in the graph case, it is conjectured to be possible to recognize the matroids that contain any fixed minor in polynomial time.
Notes
References
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{{refend
Graph minor theory
Minor
Minor may refer to:
* Minor (law), a person under the age of certain legal activities.
** A person who has not reached the age of majority
* Academic minor, a secondary field of study in undergraduate education
Music theory
*Minor chord
** Barb ...