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Minimum-Area Enclosing Rectangles and the First Neumann Eigenvalue of Planar Convex Domains

Published 16 Oct 2026 in math.AP and math.SP | (2610.23439v1)

Abstract: Let ΩΩ be a bounded convex domain in the plane and let RR be a minimum-area rectangle containing Ω‾\overlineΩ. We prove that if the ratio of the shorter side of RR to its longer side is at most ρ≈0.443485ρ\approx 0.443485, then the first nonzero Neumann eigenvalue of ΩΩ is bounded from below by that of RR. Moreover, equality holds if and only if ΩΩ coincides with the interior of RR. The proof is based on a flux identity for the means of a test function over vertical sections of ΩΩ, combined with weighted estimates involving the distributional second derivatives of the boundary functions. Finally, we show that the threshold ρ≈0.443485ρ\approx0.443485 is nearly optimal by constructing, for every ratio in (0.457994,1/2)(0.457994,1/2), trapezoids that are arbitrarily close to their minimum-area enclosing rectangle and for which the inequality fails.

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