On solution of two-sided vector equation in tropical algebra
DOI:
https://doi.org/10.21638/spbu01.2023.205Abstract
The problem of solving, in the context of tropical mathematics, a vector equation with two given matrices and unknown vectors, each part of which has the form of a product of one of the matrices and an unknown vector, is considered. Such an equation, which has unknown vectors on either side of the equal sign, is often called a two-sided equation. A new procedure for solving the two-sided equation is proposed based on minimizing a certain distance function between vectors of tropical vector spaces that are generated by the columns of each of the matrices. As a result of the procedure, a pair of vectors is obtained, which provides a minimum distance between spaces and the value of the distance itself. If the equation has solutions, then the resulting vectors are the solution to the equation. Otherwise, these vectors define a pseudo-solution that minimizes the deviation of one side of the equation from the other. The execution of the procedure consists in constructing a sequence of vectors that are pseudosolutions of the two-sided equation in which the left and right sides are alternately replaced by constant vectors. Unlike the well known alternation algorithm, in which the corresponding inequalities are solved one by one instead of equations, the proposed procedure uses a different argument, looks simpler, and allows one to establish natural criteria for completing calculations. If the equation has no solutions, the procedure also finds a pseudo-solution and determines the value of the error associated with it, which can be useful in solving approximation problems.Keywords:
idempotent semifield, tropical vector space, heneralized metric, two-sided vector equation, iterative computational procedure, pseudo-solution
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Articles of "Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy" are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.