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.
Let be a collection of disjoint sets ("categories"). Let be integers with ("capacities"). Define a subset to be "independent" when, for every index , . The sets satisfying this condition form the independent sets of a matroid, called a partition matroid.
The sets 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 has size exactly . A circuit of the matroid is a subset of a single block with size exactly . The rank of the matroid is . [2]
Every uniform matroid is a partition matroid, with a single block of elements and with . 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 . The partitions that obey this more restrictive definition are the transversal matroids of the family of disjoint sets given by their blocks. [3]
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.
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 , the sets of edges satisfying the condition that no two edges share an endpoint in are the independent sets of a partition matroid with one block per vertex in and with each of the numbers equal to one. The sets of edges satisfying the condition that no two edges share an endpoint in 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]
A clique complex is a family of sets of vertices of a graph that induce complete subgraphs of . A clique complex forms a matroid if and only if 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 . [6]
The number of distinct partition matroids that can be defined over a set of labeled elements, for , is
The exponential generating function of this sequence is . [7]
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In the mathematical field of graph theory, a bipartite graph is a graph whose vertices can be divided into two disjoint and independent sets and such that every edge connects a vertex in to one in . Vertex sets and are usually called the parts of the graph. Equivalently, a bipartite graph is a graph that does not contain any odd-length cycles.
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In mathematics, in the areas of order theory and combinatorics, Dilworth's theorem characterizes the width of any finite partially ordered set in terms of a partition of the order into a minimum number of chains. It is named for the mathematician Robert P. Dilworth (1950).
In mathematics, particularly in combinatorics, given a family of sets, here called a collection C, a transversal is a set containing exactly one element from each member of the collection. When the sets of the collection are mutually disjoint, each element of the transversal corresponds to exactly one member of C. If the original sets are not disjoint, there are two possibilities for the definition of a transversal:
In the mathematical area of graph theory, Kőnig's theorem, proved by Dénes Kőnig (1931), describes an equivalence between the maximum matching problem and the minimum vertex cover problem in bipartite graphs. It was discovered independently, also in 1931, by Jenő Egerváry in the more general case of weighted graphs.
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For any two bases and there exists a feasible exchange bijection, defined as a bijection from to , such that for every , both and are bases.