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Two properties of optimisers for the reverse isoperimetric problem

T0 review · 3 major / 3 minor · reviewed 2026-08-04 · deepseek-v4-flash

Pith's one-line read The reverse isoperimetric problem has no C^2 maximizers: any smooth patch of a maximizer must have its smallest principal curvature equal to λ.

desk verdict Genuinely new variational result with a real gap in the hyperbolic λ≤1 case; the Euclidean and spherical parts look solid. read the letter →

arxiv 2511.02688 v2 pith:J2BARXY4 submitted 2025-11-04 math.DG math.MG

classification math.DGmath.MG MSC 52A4053C4253C40
keywords reverseisoperimetricproblemλ-convexityperimetermaximizerprincipalcurvatureconstantmeanstabilityoperatorspaceformsvariationalmethod
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper studies a 'reverse' isoperimetric question: among all convex bodies of a fixed volume whose boundary curvature is bounded below by λ, can one have the largest possible surface area? In Euclidean, spherical, and hyperbolic space, the authors prove that no maximizer can have a smooth (C^2) boundary, and that for λ in the range where a geodesic sphere of curvature λ exists, any smooth patch of a maximizer must have smallest principal curvature exactly λ. The proof works by showing that any strictly λ-convex smooth patch can be deformed in a volume-preserving way to increase surface area, contradicting maximality. This rules out smooth maximizers and forces any maximizer to develop singularities, with curvature saturating on its smooth parts.

What carries the argument

The key object is the stability operator T = Δ + Ric(ν,ν) + |A|^2 acting on normal variations of a constant-mean-curvature patch, together with the sufficient condition for strong stability: existence of a positive function u with T(u) ≤ 0. In the space forms this condition is verified by exhibiting a Killing field X with ⟨ν, X⟩ > 0. Proposition 3.5 is the load-bearing variational step: it builds two-parameter deformations supported in a strictly λ-convex patch, uses the implicit function theorem to fix volume, and shows the first variation of area is positive if mean curvature varies, or the second variation is positive (via −∫ vT(v) > 0) if mean curvature is constant. This is what forces t

What would settle it

Exhibit a smooth (C^2) λ-convex body in hyperbolic space with λ < 1 whose boundary has a horosphere patch and compute the second variation of area for all volume-preserving compact variations: if any such variation has non-positive second variation while the first vanishes, the improvement lemma fails for that patch and the no-smooth-maximizer claim for λ < 1 collapses. More directly, producing any smooth λ-convex body whose area is greater than every λ-convex body of the same volume would refute the theorem.

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Extended reading notes

Core claim

The paper's central claim is Theorem 1.2: for any λ > 0 and any nontrivial compact λ-convex body K in Euclidean, spherical or hyperbolic space that maximizes surface area among all λ-convex bodies of the same volume, the boundary ∂K is not C^2, and—when λ lies in the parameter range for which a geodesic sphere of curvature λ exists—the smallest principal curvature on every C^2 patch of ∂K is constantly λ. The proof proceeds by contradiction: if a C^2 patch were strictly λ-convex (smallest curvature > λ), Proposition 3.5 constructs a compactly supported, volume-preserving deformation that strictly increases area, so K could not be a maximizer. A geometric lemma first shows that every nontrivi

Load-bearing premise

The proof's local improvement step needs every constant-mean-curvature smooth patch of a maximizer's boundary to be strictly stable under volume-preserving perturbations; in hyperbolic space this is established only for patches that are not horospheres, so for λ ≤ 1 the claim outruns the stability argument as written.

Editorial extensions

If this is right

  • If the theorem is correct, the reverse isoperimetric problem admits no C^2 maximizer in Euclidean, spherical, or hyperbolic space for any λ > 0; maximizers, if they exist, must be singular.
  • Any smooth portion of a maximizer's boundary is curvature-saturated: its smallest principal curvature is identically λ, so the boundary cannot be strictly convex at a smooth point.
  • The variational obstruction also applies to spherical and hyperbolic settings, where no explicit maximizers were previously known, so the result substantially narrows the search.
  • The proof shows that a volume-preserving deformation increasing area exists whenever a strictly λ-convex smooth patch is present, making such patches structurally unstable as maximizers.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The saturation principle suggests a free-boundary picture: maximizers should be assembled from pieces of λ-umbilic hypersurfaces (geodesic spheres of curvature λ) meeting along singular creases, analogous to the known Euclidean λ-lens examples.
  • One could test the mechanism numerically: running the volume-preserving area-increasing deformation on a smooth strictly λ-convex body should drive it toward a singular, curvature-saturated shape; this would offer a constructive route to maximizers in dimensions where none are explicit.
  • A direct stability check for horosphere caps in hyperbolic space would determine whether the no-smoothness result for λ<1 follows from the same variational mechanism or needs a separate argument.
  • The two-parameter variation technique may carry over to other shape optimization problems with non-open admissible classes, such as maximizing area under a prescribed lower bound on mean width.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 3 minor

Summary. The paper studies the reverse isoperimetric problem in simply connected space forms: for a compact λ-convex body K of fixed volume maximizing perimeter, it claims (i) ∂K cannot be C², and (ii) on C² portions of a maximizer, the smallest principal curvature is identically λ (for λ in the range where geodesic spheres of curvature λ exist). The proof uses a rolling-ball theorem (Theorem 2.6) to show that every nontrivial λ-convex body lies in a nontrivial lens (Lemma 3.1), which is contained in a strictly smaller ball (Lemma 3.2); comparison then yields a strictly λ-convex C² patch (Corollary 3.3). The authors then construct a volume-preserving variation supported in such a patch (Proposition 3.5) which increases area, using the first variation when mean curvature is nonconstant and the second variation plus strong stability when it is constant. They conclude no C² maximizer can exist and the smallest curvature on C² pieces must be λ.

Significance. If correct, the result advances the reverse isoperimetric problem in dimension ≥3, where explicit maximizers are not generally known. The two properties — non-existence of smooth maximizers and saturation of the smallest principal curvature — are natural and elegant. The proof strategy is transparent and builds on established rolling and stability results; no parameters are fitted. The Euclidean and spherical parts are convincing. The hyperbolic λ≤1 case, however, is not fully justified as written; because the gap is localized and likely repairable, the core contribution remains valuable.

major comments (3)
  1. [Theorem 1.2 / Proposition 3.5] Theorem 1.2(i) states a result for all λ>0 in H^{n+1}, but the proof invokes Proposition 3.5, which is explicitly stated only for λ∈I_Σ (in the hyperbolic case λ>1). For 0<λ≤1, Corollary 3.3 provides a strictly λ-convex C² patch (the touching-sphere argument), but Proposition 3.5 cannot be applied in its stated form. No alternative variation argument is supplied. This leaves the main claim for hyperbolic λ≤1 unproved.
  2. [Proposition 3.4 / Proposition 3.5, Case 2] Even if Proposition 3.5 is extended to λ≤1, Case 2 needs the strict inequality -∫_Ω vT(v)>0 for compactly supported zero-mean v on the constant-mean-curvature patch. The only stability criterion provided, Proposition 3.4, explicitly excludes hyperbolic CMC hypersurfaces contained in a horosphere. A C² λ-convex body with λ<1 may have a boundary portion that is a genuine horosphere patch (all principal curvatures 1>λ); Corollary 3.3 does not rule this out. Since no stability computation for horosphere patches appears, the proof of the hyperbolic case is incomplete. (A repair is straightforward: on a horosphere T=Δ, so -∫vT(v)=∫|∇v|²>0, or one can use the dilation Killing field y∂_y in the upper half-space model to extend Proposition 3.4.)
  3. [Proposition 3.5, first paragraph] The admissibility of the constructed variation is asserted in one sentence ('as can be checked locally from Definition 1.1 using a case distinction'). This is a load-bearing point: the whole argument rests on K_{t,s} remaining λ-convex. Please give the detailed proof that a sufficiently small C² deformation supported in a strictly λ-convex patch preserves the λ-convexity condition, including at the boundary of the support.
minor comments (3)
  1. [Title page] The title block shows 'TWO PROPER TIES OF OPTIMISERS'; this should read 'TWO PROPERTIES OF OPTIMISERS'.
  2. [Lemma 3.2, spherical case] The definition τ:=|γ˙|²t is dimensionally inconsistent and the subsequent solution β(t)=a cos τ + b sin τ is hard to follow. It appears τ should be |γ˙|t. Please correct and clarify the reparameterization.
  3. [Definition 1.1 / RΣ] For hyperbolic λ≤1, RΣ(λ) is not defined, but Theorem 1.2(i) covers this range. The text should explicitly state that the proof for this range uses only the touching-sphere comparison in Corollary 3.3 and does not rely on the lens/rolling-ball arguments.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: derivation uses independent stability and rolling-ball results; no fitted parameters or self-citation backbone.

full rationale

The paper's main theorem is proved by contradiction: if a C^2 λ-convex body had maximal area for fixed volume, Lemmas 3.1–3.3 show it contains a strictly λ-convex C^2 patch; Proposition 3.5 then constructs a volume-preserving variation that increases area, contradicting maximality. None of these steps is defined in terms of the conclusion. The variational formulas (Prop 2.2), stability criteria (Prop 2.4, Prop 2.5 = [8, Prop 4.4]), and supporting-ball theorem (Thm 2.6 from [7]/[3]/[6]) are independent external inputs with stated assumptions that do not include the target result. No parameter is fitted to data, and no quantity called a 'prediction' is the fit itself. The only flagged weakness is in hyperbolic space λ≤1: Prop 3.4's stability statement explicitly assumes the constant-mean-curvature piece is not contained in a horosphere, while Corollary 3.3 does not rule out a horosphere patch, so the written proof of Theorem 1.2(i) may have a gap in that case. That is an unproven-case gap, not a circular reduction: the missing horosphere stability computation is not equivalent to the theorem by construction. Hence the appropriate circularity score is 0.

Assumptions & free parameters 0 free parameters · 5 assumptions · 0 invented entities

All inputs are standard geometric objects; the only parameter λ is fixed by the problem. The proof depends on external theorems (variation formulae, Blaschke rolling, stability criterion) and one unproved technical assertion about preservation of λ-convexity; no new entities are introduced.

assumptions (5)
  • standard math First and second variation formulae for volume and area under compactly supported deformations (Prop 2.2).
    Used throughout §3.5 to compute volume and area changes; proof sketched and attributed to [9].
  • standard math Blaschke rolling theorem: a λ-convex body is contained in every supporting ball of radius RΣ(λ) (Thm 2.6).
    External result from [6] (also [3]); load-bearing for Lemma 3.1 that every nontrivial body lies in a lens.
  • standard math Strong stability criterion: a positive u with T(u)≤0 implies strong stability, and a Killing field with ⟨ν,X⟩>0 gives stability (Props 2.4, 2.5).
    Used in Prop 3.5 Case 2 to ensure the second variation of area is positive; Prop 2.5 is from [8, Prop 4.4].
  • standard math Enclosing-sphere comparison: a C² λ-convex body in a ball of radius ρ<RΣ(λ) has a boundary point with smallest principal curvature >λ (Cor 3.3).
    Standard principal-curvature comparison; the hyperbolic λ≤1 case is handled by a touching compact geodesic sphere, stated without full detail.
  • ad hoc to paper Local preservation of λ-convexity under sufficiently small C² deformations supported in a strictly λ-convex patch (Prop 3.5).
    The paper says this 'can be checked locally from Definition 1.1 using a case distinction' but does not provide the case distinction. Essential for the constructed K̂ to be admissible.

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Pith. "Pith review of Two properties of optimisers for the reverse isoperimetric problem." pith.science (2026). https://pith.science/paper/J2BARXY4

@misc{pith2026251102688,
  author       = {Pith},
  title        = {Pith review of: Two properties of optimisers for the reverse isoperimetric problem},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/J2BARXY4}},
  note         = {Machine review of arXiv:2511.02688}
}
abstract

The reverse isoperimetric problem asks for existence and properties of bounded convex sets in a Riemannian manifold which maximise the perimeter under all those sets of fixed volume which roll freely in a ball of some given radius. If the boundary of the set is of class $C^{2}$, this amounts to a positive lower bound on the principal curvatures and in this class we prove that there are no $C^{2}$-maximisers of perimeter with prescribed volume. In addition, we prove that a given possibly non-$C^{2}$ maximiser has its smallest principal curvature constant in regions where it is of class $C^{2}$. We prove this result in the Euclidean, spherical and hyperbolic space.

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Reference graph

Works this paper leans on

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