On max-plus two-sided linear systems whose solution sets are min-plus linear
Abstract
The max-plus algebra R \-∞ \ is defined in terms of a combination of the following two operations: addition, a b := (a,b), and multiplication, a b := a + b. In this study, we propose a new method to characterize the set of all solutions of a max-plus two-sided linear system A x = B x. We demonstrate that the minimum ``min-plus'' linear subspace containing the ``max-plus'' solution space can be computed by applying the alternating method algorithm, which is a well-known method to compute single solutions of two-sided systems. Further, we derive a sufficient condition for the ``min-plus'' and ``max-plus'' subspaces to be identical. The computational complexity of the method presented in this study is pseudo-polynomial.
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