Recognition: 2 theorem links
· Lean TheoremQuantitative Stability for Minkowski's problem
Pith reviewed 2026-05-15 08:51 UTC · model grok-4.3
The pith
Minkowski bodies from nearby sphere measures differ by at most the dual-convex distance to the power 1 over n minus 1 in Hausdorff distance.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For every pair of probability measures μ, ν satisfying a quantitative form of the classical dispersion assumptions yielding existence of Minkowski bodies, inf over x of the Hausdorff distance between E_μ and x plus E_ν is at most C times d_C(μ,ν) to the power 1 over n minus 1, while the square of the Fraenkel asymmetry α(E_μ, E_ν) is at most C times d_C(μ,ν) to the power 1 plus 1 over n minus 1. The same form of control holds for the L_p-Minkowski bodies when 1 ≤ p ≠ n. The exponent in the Hausdorff bound is sharp.
What carries the argument
The dual-convex distance d_C between probability measures on the sphere, which enters a variational problem whose optimizers are the Minkowski bodies E_μ and whose strong-concavity properties are obtained from quantitative Brunn-Minkowski and isoperimetric inequalities.
If this is right
- The solution map from measures to Minkowski bodies is Hölder continuous with explicit exponent 1 over n minus 1 in the Hausdorff metric.
- The same stability holds for L_p-Minkowski bodies in the range 1 ≤ p ≠ n.
- The Fraenkel asymmetry between bodies decays at the faster rate given by the squared bound.
- The sharpness example for the Hausdorff exponent shows that no better power is possible in general dimension.
Where Pith is reading between the lines
- The variational approach and quantitative inequalities used here could supply error rates for numerical reconstruction of convex bodies from discrete or noisy surface-area data.
- The same stability technique may extend to related inverse problems such as the Christoffel problem or other Minkowski-type problems with different curvature measures.
- In two dimensions the stronger asymmetry bound might improve convergence rates for iterative schemes that recover planar convex sets from their support functions or widths.
Load-bearing premise
The measures satisfy a quantitative version of the classical dispersion assumptions that guarantee existence of the Minkowski bodies.
What would settle it
A sequence of measure pairs whose dual-convex distance tends to zero while the Hausdorff distance between the corresponding Minkowski bodies stays larger than any multiple of that distance to the power 1 over n minus 1 would falsify the claimed bound.
read the original abstract
We derive quantitative stability results for Minkowski bodies, as well as their counterparts, the $L_p$-Minkowski bodies in the range $1 \le p \neq n$. We prove that, for every pair of probability measures $\mu,\nu$ satisfying a quantitative form of the classical dispersion assumptions yielding existence of such bodies, we have a control of the form \[ \inf_{x\in \mathbb{R}^n}\mathrm{d_H}(E_\mu, x + E_\nu) \le C \mathrm{d_C}(\mu,\nu)^{\frac{1}{n-1}}, \quad \alpha(E_\mu, E_\nu)^2 \le C \mathrm{d_C}(\mu,\nu)^{1 + \frac{1}{n-1}}, \] where $\mathrm{d_H}$ denotes the Hausdorff distance, $\alpha$ denotes the Fraenkel asymmetry and $\mathrm{d_C}$ is the dual-convex distance of probability measures on the sphere. Our arguments are based on a variational problem whose optimizers are Minkowski bodies, for which we can obtain strong-concavity properties with the quantitative Brunn-Minkowski and isoperimetric inequalities. While the exponent in the Hausdorff distance is sharp, the exponent in the Fraenkel asymmetry is optimal in dimension $2$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript establishes quantitative stability for Minkowski bodies E_μ and their L_p counterparts (1 ≤ p ≠ n) associated to probability measures μ, ν on the sphere. Under a quantitative version of the classical dispersion assumptions guaranteeing existence, it proves inf_x d_H(E_μ, x + E_ν) ≤ C d_C(μ,ν)^{1/(n-1)} and α(E_μ, E_ν)^2 ≤ C d_C(μ,ν)^{1 + 1/(n-1)}, where d_H is Hausdorff distance, α is Fraenkel asymmetry, and d_C is the dual-convex distance. The proof proceeds via a variational problem whose optimizers are the Minkowski bodies, combined with strong concavity obtained from quantitative Brunn-Minkowski and isoperimetric inequalities. The Hausdorff exponent is stated to be sharp, while the asymmetry exponent is optimal in dimension 2.
Significance. If the derivations hold, the results supply sharp quantitative stability estimates for the Minkowski problem in the measure-theoretic setting, extending classical existence theorems with explicit rates in terms of d_C. The variational characterization and direct use of quantitative Brunn-Minkowski/isoperimetric inequalities to obtain the concavity modulus constitute a clean approach that yields the claimed exponents without hidden losses. This contributes a useful stability theory to convex geometry and related PDEs, with the sharpness statement for the Hausdorff bound being a notable strength.
minor comments (3)
- In the abstract and §1, the dual-convex distance d_C(μ,ν) is used without an explicit definition or reference to its precise formula; adding a short inline description or pointer to the definition in §2 would improve readability for readers outside the immediate subfield.
- The dependence of the constant C on dimension n and on the quantitative dispersion parameters is not tracked explicitly in the statement of the main theorem; a remark clarifying whether C remains uniform under the stated assumptions would strengthen the result.
- Figure 1 (if present) or the illustrative examples in §4 comparing the two exponents would benefit from a caption that explicitly recalls the relation between d_C and the classical dispersion quantities.
Simulated Author's Rebuttal
We thank the referee for their positive assessment of the manuscript, including the recognition of the clean variational approach and the sharpness of the Hausdorff exponent. The recommendation for minor revision is noted, and we will prepare a revised version incorporating any editorial suggestions.
Circularity Check
No significant circularity; derivation uses independent standard inequalities
full rationale
The paper's central stability estimates follow from a variational formulation whose strong-concavity modulus is obtained directly from the quantitative Brunn-Minkowski and isoperimetric inequalities. These inequalities are classical results whose proofs are external to the present work and do not depend on the Minkowski bodies E_μ, E_ν or the dual-convex distance d_C. The exponents 1/(n-1) and 1 + 1/(n-1) arise mechanically from the concavity deficit and the relation between functional deficit and d_C; no parameter is fitted to the target data, no self-citation supplies a load-bearing uniqueness theorem, and no step reduces by definition to its own input. The argument is therefore self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
free parameters (1)
- C
axioms (2)
- domain assumption Quantitative dispersion assumptions on the probability measures guarantee existence of the Minkowski bodies
- standard math Quantitative Brunn-Minkowski and isoperimetric inequalities hold with explicit constants
Lean theorems connected to this paper
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IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Our arguments are based on a variational problem whose optimizers are Minkowski bodies, for which we can obtain strong-concavity properties with the quantitative Brunn-Minkowski and isoperimetric inequalities.
-
IndisputableMonolith/Foundation/AlexanderDuality.leanalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Theorem 1.1 … α(E_μ, E_ν)² ≤ C d_C(μ,ν)^{1 + 1/n}
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
discussion (0)
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