ON DISCRETE HESSIAN MATRIX AND CONVEX EXTENSIBILITY
Satoko Moriguchi, Kazuo Murota
Abstract
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Satoko Moriguchi, Kazuo Murota
Abstract
Open-access reader
For functions defined on integer lattice points, discrete versions of the Hessian matrix have been considered in various contexts. In discrete convex analysis, for example certain combinatorial properties of the discrete Hessian matrices are known to characterize M^〓-convex and L^〓-convex functions, which can be extended to convex functions in real variables. The relationship between convex extensibility and discrete Hessian matrices is not fully understood in general, and unfortunately, some vague or imprecise statements have been made in the literature. This note points out that the positive semidefiniteness of the discrete Hessian matrix does not imply nor is implied by convex extensibility of discrete functions.
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For functions defined on integer lattice points, discrete versions of the Hessian matrix have been considered in various contexts. In discrete convex analysis, for example certain combinatorial properties of the discrete Hessian matrices are known to characterize M^〓-convex and L^〓-convex functions, which can be extended to convex functions in real variables. The relationship between convex extensibility and discrete Hessian matrices is not fully understood in general, and unfortunately, some vague or imprecise statements have been made in the literature. This note points out that the positive semidefiniteness of the discrete Hessian matrix does not imply nor is implied by convex extensibility of discrete functions.
Key concepts: Hessian matrix, Mathematics, Convex analysis, Hessian equation, Convex function, Regular polygon, Matrix (chemical analysis), Combinatorics