Abstract

For a given linear mapping, determined by a square matrix A in a max–min algebra, the set S A consisting of all vectors with a unique pre-image (in short: the simple image set of A ) is considered. It is shown that if the matrix A is generally trapezoidal, then the closure of S A is a subset of the set of all eigenvectors of A . In the general case, there is a permutation π , such that the closure of S A is a subset of the set of all eigenvectors permuted by π . The simple image set of the matrix square and the topological aspects of the problem are also described.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.