Necessary and Sufficient Conditions for Robust Positivity of Polynomic Functions Via Sign Decomposition

Abstract The robust positivity of multivariable polynomic functions, is considered in this paper. A solution with necessary and sufficient conditions is proposed. The problem is solved by the application of sign decomposition, which is a new mathematical tool. The basic idea is to separate the parts of the function depending on its sign. The robust positivity is concluded by the analysis of a finite number of points (vertices) of its domain. The analysis can be done in graphical way or using an algorithm which converge to the result in all the cases, this represents an advantage over other algorithms.