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G-2019-57

Using symbolic calculations to determine largest small polygons

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A small polygon is a polygon of unit diameter. The question of finding the largest area of small \(n-\)gons has been answered for some values of \(n\). Regular \(n-\)gons are optimal when \(n\) is odd and kites with unit length diagonals are optimal when \(n=4\). For \(n=6\), the largest area is a root of a degree 10 polynomial with integer coefficient having 4 to 6 digits. This polynomial was obtained through factorizations of a degree $40$ polynomial with integer coefficients.

The present paper analyses the hexagonal and octogonal cases. For \(n=6\), we propose a new formulation which involves the factorization of a polynomial with integer coefficients of degree 14 rather than 40. And for \(n=8\), under an axial symmetry conjecture, we propose a methodology that leads to a polynomial of degree 344 with integer coefficients that factorizes into a polynomial of degree 42 with integer coefficients having 21 to 32 digits. A root of this last polynomial corresponds to the area of the largest small axially symmetrical octagon.

, 10 pages

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