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Gurvits’s conjecture on the impossibility of an FPRAS for general mixed volumes

Prove the nonexistence of a Fully-Polynomial Randomized Approximation Scheme (FPRAS) for approximating general mixed volumes within the Dyer–Gritzmann–Hufnagel oracle model for well-presented convex bodies, i.e., establish that no algorithm can approximate mixed volumes to within a multiplicative factor (1±ε) in time polynomial in input size and ε^{-1} under that model.

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Background

The paper studies randomized polynomial-time approximation of mixed volumes for tuples of lattice polytopes, providing positive results when the number of bodies k is constant and the polytopes are given by convex hulls of polynomially many lattice points. In contrast, prior work by Dyer–Gritzmann–Hufnagel showed #P-hardness for computing mixed volumes in an oracle model for well-presented convex bodies, highlighting significant barriers for general instances.

Within this broader complexity landscape, Gurvits formulated a conjecture asserting that, in the Dyer–Gritzmann–Hufnagel oracle model, it is impossible to design an FPRAS for general mixed volumes. This conjecture delineates a fundamental open question about the approximability of mixed volumes beyond the specific settings treated by the current paper.

References

Gurvits conjectures (in Conjecture 2 of ) that in the setup of Dyer--Gritzmann--Hufnagel from , it is impossible to design a Fully-Polynomial-Randomized-Approximation-Scheme (FPRAS) for general mixed volumes.

Approximating mixed volumes to arbitrary accuracy (2508.19582 - Narayanan et al., 27 Aug 2025) in Remark rem:0, Capacity subsection