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An additive eigenvalue problem of physics related to linear programming. (English) Zbl 0639.65033
Starting from a functional equation for the ground state energy per atom by R. B. Griffiths a discrete approximation of this equation by \(\min_{j=1,...,n}(K_{ij}+x_ j)=\lambda +x_ i,\) \(i=1,...,n\) is investigated. Here \(K_{ij}\) is taken to be an arbitrary real square matrix. \(\lambda\) is termed an additive eigenvalue and x is termed an additive eigenvector. This additive eigenvalue equation had previously arisen in an entirely different area-management science. A motivation problem was cost efficient scheduling of industrial processes.
Brouwers fixed point theorem is used to show that a solution exists, that the eigenvalue is unique, but possibly there is more than one associated eigenvector. It is then shown that this equation can be solved by two linear programs. The first program has maximum value \(\lambda\). Then the second linear program furnishes a corresponding eigenvector.
Reviewer: J.Born

MSC:
65K05 Numerical mathematical programming methods
90B35 Deterministic scheduling theory in operations research
90C08 Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)
82B20 Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics
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