Partition matroid

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File:Partition matroid.svg
For the bipartite graph shown on the left, each vertex in the first column is assigned a unique color. Then, each edge is colored based on which colored vertex it is connected to. Each independent set in the matroid on the right is allowed a maximum of 1 edge of each color. Thus, the matroid is a partition matroid with |Ci|=3 and di=1 for all i. The latter condition means this matroid is also a transversal matroid.

In mathematics, a partition matroid or partitional matroid is a matroid that is a direct sum of uniform matroids.[1] It is defined over a base set in which the elements are partitioned into different categories. For each category, there is a capacity constraint - a maximum number of allowed elements from this category. The independent sets of a partition matroid are exactly the sets in which, for each category, the number of elements from this category is at most the category capacity.

Formal definition

Let Ci be a collection of disjoint sets ("categories"). Let di be integers with 0di|Ci| ("capacities"). Define a subset IiCi to be "independent" when, for every index i, |ICi|di. The sets satisfying this condition form the independent sets of a matroid, called a partition matroid.

The sets Ci are called the categories or the blocks of the partition matroid.

A basis of the partition matroid is a set whose intersection with every block Ci has size exactly di. A circuit of the matroid is a subset of a single block Ci with size exactly di+1. The rank of the matroid is di.[2]

Every uniform matroid Unr is a partition matroid, with a single block C1 of n elements and with d1=r. Every partition matroid is the direct sum of a collection of uniform matroids, one for each of its blocks.

In some publications, the notion of a partition matroid is defined more restrictively, with every di=1. The partitions that obey this more restrictive definition are the transversal matroids of the family of disjoint sets given by their blocks.[3]

Properties

As with the uniform matroids they are formed from, the dual matroid of a partition matroid is also a partition matroid, and every minor of a partition matroid is also a partition matroid. Direct sums of partition matroids are partition matroids as well.

Matching

A maximum matching in a graph is a set of edges that is as large as possible subject to the condition that no two edges share an endpoint. In a bipartite graph with bipartition (U,V), the sets of edges satisfying the condition that no two edges share an endpoint in U are the independent sets of a partition matroid with one block per vertex in U and with each of the numbers di equal to one. The sets of edges satisfying the condition that no two edges share an endpoint in V are the independent sets of a second partition matroid. Therefore, the bipartite maximum matching problem can be represented as a matroid intersection of these two matroids.[4]

More generally the matchings of a graph may be represented as an intersection of two matroids if and only if every odd cycle in the graph is a triangle containing two or more degree-two vertices.[5]

Clique complexes

A clique complex is a family of sets of vertices of a graph G that induce complete subgraphs of G. A clique complex forms a matroid if and only if G is a complete multipartite graph, and in this case the resulting matroid is a partition matroid. The clique complexes are exactly the set systems that can be formed as intersections of families of partition matroids for which every di=1.[6]

Enumeration

The number of distinct partition matroids that can be defined over a set of n labeled elements, for n=0,1,2,, is

1, 2, 5, 16, 62, 276, 1377, 7596, 45789, 298626, 2090910, ... (sequence A005387 in the OEIS).

The exponential generating function of this sequence is f(x)=exp(ex(x1)+2x+1).[7]

References

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  1. ^ Page Module:Citation/CS1/styles.css has no content.Recski, A. (1975), "On partitional matroids with applications", Infinite and finite sets (Colloq., Keszthely, 1973; dedicated to P. Erdős on his 60th birthday), Vol. III, Colloq. Math. Soc. János Bolyai, vol. 10, Amsterdam: North-Holland, pp. 1169–1179, MR 0389630.
  2. ^ Page Module:Citation/CS1/styles.css has no content.Lawler, Eugene L. (1976), Combinatorial Optimization: Networks and Matroids, Rinehart and Winston, New York: Holt, p. 272, MR 0439106.
  3. ^ E.g., see Lua error in package.lua at line 80: module 'Module:Footnotes/anchor_id_list' not found.. Lua error in package.lua at line 80: module 'Module:Footnotes/anchor_id_list' not found. uses the broader definition but notes that the di=1 restriction is useful in many applications.
  4. ^ Page Module:Citation/CS1/styles.css has no content.Papadimitriou, Christos H.; Steiglitz, Kenneth (1982), Combinatorial Optimization: Algorithms and Complexity, Englewood Cliffs, N.J.: Prentice-Hall Inc., pp. 289–290, ISBN 0-13-152462-3, MR 0663728.
  5. ^ Page Module:Citation/CS1/styles.css has no content.Fekete, Sándor P.; Firla, Robert T.; Spille, Bianca (2003), "Characterizing matchings as the intersection of matroids", Mathematical Methods of Operations Research, 58 (2): 319–329, arXiv:math/0212235, doi:10.1007/s001860300301, MR 2015015.
  6. ^ Page Module:Citation/CS1/styles.css has no content.Kashiwabara, Kenji; Okamoto, Yoshio; Uno, Takeaki (2007), "Matroid representation of clique complexes", Discrete Applied Mathematics, 155 (15): 1910–1929, doi:10.1016/j.dam.2007.05.004, MR 2351976. For the same results in a complementary form using independent sets in place of cliques, see Page Module:Citation/CS1/styles.css has no content.Tyshkevich, R. I.; Urbanovich, O. P.; Zverovich, I. È. (1989), "Matroidal decomposition of a graph", Combinatorics and graph theory (Warsaw, 1987), Banach Center Publ., vol. 25, Warsaw: PWN, pp. 195–205, MR 1097648.
  7. ^ Page Module:Citation/CS1/styles.css has no content.Recski, A. (1974), "Enumerating partitional matroids", Studia Scientiarum Mathematicarum Hungarica, 9: 247–249 (1975), MR 0379248.