On a Procedure for Constructing A ⊗ A* Matrices of a Size 3 × 3 in Max-Plus Algebra

This paper presents a procedure for constructing a matrix A⊗A* of a size 3×3 in max-plus algebra. The max-algebraic product of a matrix A and its conjugate (negative transpose) matrix A* always yields a pseudo skew-symmetric matrix. We address the inverse problem: given a matrix A˜ of this type, can one determine a matrix A such that A⊗A*=A˜? A particular case involving 3×3 matrices is examined, and one procedure is explained in detail. The method illustrates how such a matrix A can be constructed column by column while also indicating directions for further generalization and computational exploration.

Authors

Publication Details

Journal
AppliedMath
Published
2026-07-16
DOI
https://doi.org/10.3390/appliedmath6070114
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

On a Procedure for Constructing A ⊗ A* Matrices of a Size 3 × 3 in Max-Plus Algebra

Bojana Stojčetović
AppliedMath
Matrix Theory and Algorithms
article

On a Procedure for Constructing A ⊗ A* Matrices of a Size 3 × 3 in Max-Plus Algebra

Bojana Stojčetović
article en

Abstract

This paper presents a procedure for constructing a matrix A⊗A* of a size 3×3 in max-plus algebra. The max-algebraic product of a matrix A and its conjugate (negative transpose) matrix A* always yields a pseudo skew-symmetric matrix. We address the inverse problem: given a matrix A˜ of this type, can one determine a matrix A such that A⊗A*=A˜? A particular case involving 3×3 matrices is examined, and one procedure is explained in detail. The method illustrates how such a matrix A can be constructed column by column while also indicating directions for further generalization and computational exploration.

AppliedMathVol. 6(7)
Openalex Percentile: Top 7%
Matrix Theory and Algorithms
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