Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4601723 | Linear Algebra and its Applications | 2010 | 28 Pages |
Abstract
In this article, continuing [12,13], further contributions to the theory of max–min convex geometry are given. The max–min semiring is the set R‾=R∪{±∞} endowed with the operations ⊕=max,⊗=min⊕=max,⊗=min in R‾. A max–min hyperplane (briefly, a hyperplane) is the set of all points x=(x1,…,xn)∈R‾n satisfying an equation of the forma1⊗x1⊕…⊕an⊗xn⊕an+1=b1⊗x1⊕…⊕bn⊗xn⊕bn+1,a1⊗x1⊕…⊕an⊗xn⊕an+1=b1⊗x1⊕…⊕bn⊗xn⊕bn+1,with ai,bi∈R‾(i=1,…n+1), where each side contains at least one term, and where ai≠biai≠bi for at least one index ii. The main result is a description of a hyperplane in terms of simple polyhedral blocks. As an application, one shows that the separation of max–min closed convex sets by max–min hyperplanes is not possible in general.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Algebra and Number Theory
Authors
V. Nitica,