Objective functions with redundant domains

Objective functions with redundant domains

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Article ID: iaor20134026
Volume: 26
Issue: 2
Start Page Number: 372
End Page Number: 384
Publication Date: Aug 2013
Journal: Journal of Combinatorial Optimization
Authors: , ,
Keywords: combinatorial optimization
Abstract:

Let ( E , 𝒜 ) equ1 be a set system consisting of a finite collection 𝒜 equ2 of subsets of a ground set E, and suppose that we have a function ϕ which maps 𝒜 equ3 into some set S. Now removing a subset K from E gives a restriction 𝒜 ( K ¯ ) equ4 to those sets of 𝒜 equ5 disjoint from K, and we have a corresponding restriction ϕ | A ( K ¯ ) equ6 of our function ϕ. If the removal of K does not affect the image set of ϕ, that is Im ( ϕ | A ( X ¯ ) ) = Im ( ϕ ) equ7 , then we will say that K is a kernel set of 𝒜 equ8 with respect to ϕ. Such sets are potentially useful in optimisation problems defined in terms of ϕ. We will call the set of all subsets of E that are kernel sets with respect to ϕ a kernel system and denote it by Ker ϕ ( 𝒜 ) equ9 . Motivated by the optimisation theme, we ask which kernel systems are matroids. For instance, if 𝒜 equ10 is the collection of forests in a graph G with coloured edges and ϕ counts how many edges of each colour occurs in a forest then Ker ϕ ( 𝒜 ) equ11 is isomorphic to the disjoint sum of the cocycle matroids of the differently coloured subgraphs; on the other hand, if 𝒜 equ12 is the power set of a set of positive integers, and ϕ is the function which takes the values 1 and 0 on subsets according to whether they are sum‐free or not, then we show that Ker ϕ ( 𝒜 ) equ13 is essentially never a matroid.

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