Symmetric Mahler conjecture

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Subjects: Convex geometry

Collections: Geometric extremes

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The problem

Take a rectangle centered at the origin, four units wide and two units tall. Its polar is a diamond with corners half a unit to the left and right, and one unit up and down. The rectangle has area 8 and the diamond area 1, so their product is 8. The polar collects coordinate weights whose weighted sums never exceed 1 on the original shape; a wider rectangle makes the diamond narrower. The conjecture asks how small this volume product can be for any solid that is convex and symmetric through the origin, in four or more dimensions.[1]

Scope

For every origin-symmetric compact convex body K⊂Rⁿ with interior and n≥4, is vol(K)vol(K°)≥4ⁿ/n!? Here K°={y:⟨x,y⟩≤1 for every x∈K}.

What remains open

The proposed answer is proved up to three dimensions, but not for every higher dimension.[2]

Why it matters

Stretching the rectangle increases its area but shrinks its polar by the reciprocal factor, so the product stays the same. This makes the product a way to compare shapes and their measurement constraints without rewarding a mere change of scale. The conjecture seeks the smallest possible value of that comparison.[1]

Definitions

3 terms
convex

A set is convex when the whole segment between any two of its points remains in the set.[2]

polar

For a body containing the origin, its polar is the set of vectors yy with x⋅y≤1x\cdot y\leq1 for every point xx in the body. These vectors describe linear measurements bounded by 1.[1]

volume product

The volume of a body multiplied by the volume of its polar. Invertible linear changes of coordinates leave this product unchanged.[1]

Sources

  1. Symmetric Mahler’s conjecture for the volume product in the three dimensional case Hiroshi Iriyeh and Masataka Shibata · 2017-06-06
    Notes on Symmetric Mahler’s conjecture for the volume product in the three dimensional case

    Proves the three-dimensional symmetric case and explains the proposed minimum.

  2. Sharpness and planar stability of the Alexandrov-Bakelman-Pucci estimate: a convex geometric approach Antonio Porricelli · 2026-09-21
    Notes on Sharpness and planar stability of the Alexandrov-Bakelman-Pucci estimate: a convex geometric approach

    Section 2 distinguishes the symmetric conjecture and its unresolved higher-dimensional range.

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