2 research outputs found

    A natural family of flag matroids

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    A flag matroid can be viewed as a chain of matroids linked by quotients. Flag matroids, of which relatively few interesting families have previously been known, are a particular class of Coxeter matroids. In this paper we give a family of flag matroids arising from an enumeration problem that is a generalization of the tennis ball problem. These flag matroids can also be defined in terms of lattice paths and they provide a generalization of the lattice path matroids of [Bonin et al., JCTA 104 (2003)].Comment: 13 pages, 6 figure

    A greedoid and a matroid inspired by Bhargava's pp-orderings

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    Consider a finite set EE. Assume that each e∈Ee \in E has a "weight" w(e)∈Rw \left(e\right) \in \mathbb{R} assigned to it, and any two distinct e,f∈Ee, f \in E have a "distance" d(e,f)=d(f,e)∈Rd \left(e, f\right) = d \left(f, e\right) \in \mathbb{R} assigned to them, such that the distances satisfy the ultrametric triangle inequality d(a,b)⩽max⁑{d(a,c),d(b,c)}d(a,b)\leqslant \max \left\{d(a,c),d(b,c)\right\}. We look for a subset of EE of given size with maximum perimeter (where the perimeter is defined by summing the weights of all elements and their pairwise distances). We show that any such subset can be found by a greedy algorithm (which starts with the empty set, and then adds new elements one by one, maximizing the perimeter at each step). We use this to define numerical invariants, and also to show that the maximum-perimeter subsets of all sizes form a strong greedoid, and the maximum-perimeter subsets of any given size are the bases of a matroid. This essentially generalizes the "PP-orderings" constructed by Bhargava in order to define his generalized factorials, and is also similar to the strong greedoid of maximum diversity subsets in phylogenetic trees studied by Moulton, Semple and Steel. We further discuss some numerical invariants of E,w,dE, w, d stemming from this construction, as well as an analogue where maximum-perimeter subsets are replaced by maximum-perimeter tuples (i.e., elements can appear multiple times).Comment: 47 pages. v4 adds some context and comments. Comments are welcome
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