A Hexagonal Counterexample to Log-Convexity of Fisher Information Along the Heat Flow
Pith reviewed 2026-05-20 08:37 UTC · model grok-4.3
The pith
A hexagonal perturbation of a Gaussian density on the plane yields a counterexample to log-convexity of Fisher information along the heat flow.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We construct a smooth, strictly positive, Gaussian-decaying density on R^2 for which Fisher information along the heat flow is not log-convex. This disproves the Cheng-Geng log-convexity conjecture in dimension two and, by tensorization, in every dimension d greater than or equal to 2. Consequently, the multidimensional forms of the Gaussian completely monotone conjecture, McKean's conjecture, and Toscani's entropy power conjecture also fail, complementing the one-dimensional counterexample of Gu and Sellke.
What carries the argument
A small hexagonal perturbation placed on the triangular torus and transferred to R^2 by multiplication with a Gaussian envelope, yielding an explicit density whose heat flow is simulated numerically.
If this is right
- The Cheng-Geng log-convexity conjecture fails in all dimensions d greater than or equal to 2.
- The multidimensional Gaussian completely monotone conjecture fails.
- McKean's conjecture fails in dimensions greater than one.
- Toscani's entropy power conjecture fails in dimensions greater than one.
- The sharp constants theta_d^* equal 1 when d equals 1 and are non-decreasing with dimension.
Where Pith is reading between the lines
- Similar localized perturbations with other symmetries could be tested to determine whether hexagonal geometry is essential for producing the violation.
- The same numerical-search strategy might locate counterexamples for related convexity statements in other parabolic flows or on manifolds.
- The one-dimensional case may remain the only dimension in which log-convexity of Fisher information along the heat flow holds for all positive densities.
Load-bearing premise
The numerical simulation of the heat flow on the perturbed density accurately captures the continuous-time behavior of Fisher information without discretization or truncation artifacts that could artificially restore log-convexity.
What would settle it
Re-running the two-dimensional numerical evolution on a substantially finer grid or with an independent time-stepping scheme and obtaining a nonnegative second derivative of the log-Fisher-information at every time would indicate that the reported violation is an artifact.
Figures
read the original abstract
We construct a smooth, strictly positive, Gaussian-decaying density on $\mathbb{R}^2$ for which Fisher information along the heat flow is not log-convex. This disproves the Cheng--Geng log-convexity conjecture in dimension two and, by tensorization, in every dimension $d\ge2$. Consequently, the multidimensional forms of the Gaussian completely monotone conjecture, McKean's conjecture, and Toscani's entropy power conjecture also fail, complementing the one-dimensional counterexample of Gu and Sellke. Our construction is a small hexagonal perturbation on the triangular torus, transferred to $\mathbb{R}^2$ by a Gaussian envelope and supported by explicit two-dimensional numerics. We also initiate the study of the sharp constants $\theta_d^*$ by proving $\theta_1^*=1$, establishing monotonicity in the dimension, and identifying a dichotomy for the asymptotic constant $\theta_\infty^*$ governed by the sign of $\mathcal{D}$. The explicit two-dimensional counterexample was found by GPT-5.5 Pro.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper constructs a smooth, strictly positive density on R^2 with Gaussian decay by taking a small hexagonal perturbation of a density on the triangular torus and multiplying by a Gaussian envelope. Numerical evolution under the heat equation is used to exhibit a density for which Fisher information I(t) fails to have log-convexity, disproving the Cheng-Geng conjecture in dimension 2 and hence in all d >= 2 by tensorization. The same counterexample is said to falsify the multidimensional Gaussian completely monotone, McKean, and Toscani entropy-power conjectures. The manuscript also proves theta_1^*=1, monotonicity of theta_d^* in d, and a dichotomy for the asymptotic constant theta_infty^* depending on the sign of D.
Significance. If the numerical evidence is reliable, the result supplies the first explicit multidimensional counterexample to log-convexity of Fisher information along the heat flow, complementing the one-dimensional counterexample of Gu-Sellke and settling several related open questions. The analytic results on the sharp constants theta_d^* are a useful contribution independent of the counterexample.
major comments (2)
- [§4] §4 (Numerical simulation): The manuscript reports that (log I)''(t) < 0 on an interval but supplies neither the spatial grid size on the torus, the time-stepping scheme and step size for the diffusion PDE, the numerical value of the hexagonal perturbation amplitude, nor the truncation radius and cutoff error for the Gaussian envelope. Without these parameters or a convergence study under refinement, it is impossible to rule out that the observed sign change in the second derivative is produced by discretization or truncation artifacts rather than by the continuum solution.
- [§3] §3 (Construction): The transfer of the toroidal perturbation to R^2 via the Gaussian envelope is described only qualitatively. Explicit formulas for the perturbation function, its amplitude, and a proof that the resulting density remains strictly positive and inherits the required decay are needed to confirm that the heat flow stays well-defined on R^2 and that boundary effects from any artificial truncation do not artificially induce non-convexity.
minor comments (2)
- [Abstract] The abstract states that the counterexample was found by GPT-5.5 Pro; the main text should include a brief description of the search procedure and verification steps performed by the authors to allow readers to assess reproducibility.
- [§2] Notation for the Fisher information I(t) and its logarithmic derivatives should be introduced once with a clear reference to the definition used in the numerical plots.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on the manuscript. We address the major comments point by point below.
read point-by-point responses
-
Referee: [§4] §4 (Numerical simulation): The manuscript reports that (log I)''(t) < 0 on an interval but supplies neither the spatial grid size on the torus, the time-stepping scheme and step size for the diffusion PDE, the numerical value of the hexagonal perturbation amplitude, nor the truncation radius and cutoff error for the Gaussian envelope. Without these parameters or a convergence study under refinement, it is impossible to rule out that the observed sign change in the second derivative is produced by discretization or truncation artifacts rather than by the continuum solution.
Authors: We agree that the numerical section requires additional implementation details to ensure reproducibility and to exclude the possibility of artifacts. In the revised manuscript we will add the spatial grid size on the torus, the time-stepping scheme and step size, the numerical value of the hexagonal perturbation amplitude, the truncation radius and cutoff error for the Gaussian envelope, and a short convergence study under refinement. revision: yes
-
Referee: [§3] §3 (Construction): The transfer of the toroidal perturbation to R^2 via the Gaussian envelope is described only qualitatively. Explicit formulas for the perturbation function, its amplitude, and a proof that the resulting density remains strictly positive and inherits the required decay are needed to confirm that the heat flow stays well-defined on R^2 and that boundary effects from any artificial truncation do not artificially induce non-convexity.
Authors: We acknowledge that the construction in §3 is currently described only qualitatively. The revised manuscript will supply explicit formulas for the perturbation function and its amplitude together with a proof that, for sufficiently small amplitude, the resulting density on R^2 remains strictly positive and inherits Gaussian decay, thereby ensuring the heat flow is well-defined and that truncation effects do not induce the observed non-convexity. revision: yes
Circularity Check
Direct numerical construction of counterexample with no circular reduction
full rationale
The paper's central claim is established by explicit construction of a smooth positive Gaussian-decaying density via a small hexagonal perturbation on the triangular torus, transferred to R^2, followed by direct numerical evolution under the heat equation to evaluate Fisher information I(t) and check that log I(t) fails convexity on an interval. This is a self-contained computational disproof rather than a derivation that reduces to fitted parameters, self-referential definitions, or load-bearing self-citations. The separate analytical results on sharp constants θ_d^* (including θ_1^*=1 and monotonicity) are independent of the numerical counterexample and do not invoke the target non-convexity result. No step equates a claimed prediction or theorem to its own inputs by construction.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math The heat equation preserves positivity and smoothness for positive initial data with Gaussian decay.
Lean theorems connected to this paper
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Theorem 1: exists smooth Gaussian-decaying f on R² with I[f]D[f]−Q[f]²<0; hexagonal perturbation ϕ=cosθ1+cosθ2+cosθ3 on T²_Λ with k1+k2+k3=0
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.
Reference graph
Works this paper leans on
-
[1]
A new entropy power inequality,
M. H. M. Costa, “A new entropy power inequality,”IEEE Trans. Inf. Theory, vol. 31, no. 6, pp. 751–760, 1985
work page 1985
-
[2]
A short proof of the ‘concavity of entropy power’,
C. Villani, “A short proof of the ‘concavity of entropy power’,”IEEE Trans. Inf. Theory, vol. 46, no. 4, pp. 1695–1696, 2000
work page 2000
-
[3]
Speed of approach to equilibrium for Kac’s caricature of a Maxwellian gas,
H. P. McKean, Jr., “Speed of approach to equilibrium for Kac’s caricature of a Maxwellian gas,” Archive for Rational Mechanics and Analysis, vol. 21, pp. 343–367, 1966
work page 1966
-
[4]
A concavity property for the reciprocal of Fisher information and its consequences on Costa’s EPI,
G. Toscani, “A concavity property for the reciprocal of Fisher information and its consequences on Costa’s EPI,”Physica A: Statistical Mechanics and its Applications, vol. 432, pp. 35–42, 2015
work page 2015
-
[5]
Higher order derivatives in Costa’s entropy power inequality,
F. Cheng and Y. Geng, “Higher order derivatives in Costa’s entropy power inequality,”IEEE Trans. Inf. Theory, vol. 61, no. 11, pp. 5892–5905, 2015
work page 2015
-
[6]
Gaussian optimality for derivatives of differential entropy using linear matrix inequalities,
X. Zhang, V. Anantharam, and Y. Geng, “Gaussian optimality for derivatives of differential entropy using linear matrix inequalities,”Entropy, vol. 20, no. 3, article 182, 2018
work page 2018
-
[7]
Log-convexity of Fisher information along heat flow,
M. Ledoux, C. Nair, and Y. N. Wang, “Log-convexity of Fisher information along heat flow,” preprint, available athttps://chandra.ie.cuhk.edu.hk/pub/papers/NIT/Log-cvx.pdf
-
[8]
Differentials of entropy and Fisher information along heat flow: a brief review of some conjectures,
M. Ledoux, “Differentials of entropy and Fisher information along heat flow: a brief review of some conjectures,” manuscript, available at https://perso.math.univ-toulouse.fr/ledoux/files/ 2024/09/Entropy-conjectures.pdf
work page 2024
-
[9]
Square root convexity of Fisher information along heat flow in dimension two,
J. Liu and X. Gao, “Square root convexity of Fisher information along heat flow in dimension two,” Entropy, vol. 25, no. 4, article 558, 2023
work page 2023
-
[10]
A generalization of the concavity of R´ enyi entropy power,
L. Guo, C.-M. Yuan, and X.-S. Gao, “A generalization of the concavity of R´ enyi entropy power,” Entropy, vol. 23, no. 12, article 1593, 2021
work page 2021
-
[11]
Lower bounds on multivariate higher order derivatives of differential entropy,
L. Guo, C.-M. Yuan, and X.-S. Gao, “Lower bounds on multivariate higher order derivatives of differential entropy,”Entropy, vol. 24, no. 8, article 1155, 2022
work page 2022
-
[12]
A Counterexample to the Gaussian Completely Monotone Conjecture
Y. Gu and M. Sellke, “A counterexample to the Gaussian completely monotone conjecture,” arXiv:2605.11656, 2026
work page internal anchor Pith review Pith/arXiv arXiv 2026
-
[13]
The entropy power conjecture implies the McKean conjecture,
G. Wang, “The entropy power conjecture implies the McKean conjecture,” arXiv:2408.07275, 2024. 28
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.