pith. sign in

arxiv: 1907.09023 · v1 · pith:56LC5JGVnew · submitted 2019-07-21 · 🧮 math.CA · math-ph· math.MP

A Wasserstein Inequality and Minimal Green Energy on Compact Manifolds

Pith reviewed 2026-05-24 18:09 UTC · model grok-4.3

classification 🧮 math.CA math-phmath.MP
keywords Wasserstein distanceGreen's functiondiscrete energycompact manifoldsCoulomb kernelempirical measuresLaplacian
0
0 comments X

The pith

An inequality bounds the Wasserstein-2 distance of n points to volume measure by the square root of their pairwise Green energy sum, implying optimal convergence for energy minimizers.

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

The paper proves that on a smooth compact d-dimensional manifold without boundary, the Wasserstein-2 distance from the empirical measure of n points to the normalized volume measure is controlled by n to the power -1/d plus a term involving the square root of the sum of the Green's function values between distinct pairs of points. This bound is obtained by relating the transportation cost directly to the Green's function of the Laplacian, normalized to have mean zero. The same relation holds for the normalized Coulomb kernel on the sphere. As a consequence, any configuration that minimizes the discrete Green energy must satisfy the optimal rate W2 distance at most order n to the power -1/d.

Core claim

The central result states that W_2((1/n) sum delta_xk, dx) is at most a manifold-dependent constant times n^{-1/d} plus (1/n) times the square root of the absolute value of the double sum over k not equal to l of G(x_k, x_l). Minimizers of the discrete Green energy therefore obey W_2 ≲ n^{-1/d}. The identical conclusion holds for minimizers of the normalized Coulomb energy on the sphere.

What carries the argument

The inequality that expresses the Wasserstein-2 transportation cost between an empirical measure and volume measure in terms of the square root of the off-diagonal Green energy sum.

If this is right

  • Minimizers of the discrete Green energy achieve the optimal W2 convergence rate n^{-1/d} to the volume measure.
  • The same optimal rate holds for minimizers of the normalized Coulomb energy on the sphere.
  • The bound separates the geometric discrepancy term n^{-1/d} from the interaction energy term controlled by the Green's function.
  • The inequality applies uniformly with a constant depending only on the manifold.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The result supplies a quantitative link between classical potential theory and optimal transport that could be used to certify good point distributions without directly computing Wasserstein distances.
  • It raises the question whether analogous inequalities exist for other kernels or for the Wasserstein-p distance with p not equal to 2.
  • On manifolds where the Green's function is explicitly known, the inequality gives a practical way to bound discretization error for integration or sampling.

Load-bearing premise

The manifold is smooth, compact, and without boundary, and the Green's function is normalized to have mean zero.

What would settle it

A sequence of n-point configurations on the manifold whose Green energy sum grows slower than n^2 while the Wasserstein-2 distance remains larger than C n^{-1/d} for any fixed C.

read the original abstract

Let $M$ be a smooth, compact $d-$dimensional manifold, $d \geq 3,$ without boundary and let $G: M \times M \rightarrow \mathbb{R} \cup \left\{\infty\right\}$ denote the Green's function of the Laplacian $-\Delta$ (normalized to have mean value 0). We prove a bound on the cost of transporting Dirac measures in $\left\{x_1, \dots, x_n\right\} \subset M$ to the normalized volume measure $dx$ in terms of the Green's function of the Laplacian $$ W_2\left( \frac{1}{n} \sum_{k=1}^{n}{\delta_{x_k}}, dx\right) \lesssim_M \frac{1}{n^{1/d}} + \frac{1}{n} \left| \sum_{k, \ell=1 \atop k \neq \ell}^{n}G(x_k, x_{\ell})\right|^{1/2}.$$ We obtain the same result for the Coulomb kernel $G(x,y) = 1/\|x-y\|^{d-2}$ on the sphere $\mathbb{S}^d$, for $d \geq 3$, where we show that $$ W_2\left(\frac{1}{n} \sum_{k=1}^{n}{ \delta_{x_k}}, dx\right) \lesssim \frac{1}{n^{1/d}} + \frac{1}{n} \left| \sum_{k, \ell=1 \atop k \neq \ell}^{n}{\left(\frac{1}{\|x_k - x_{\ell}\|^{d-2}} - c_d \right)} \right|^{\frac{1}{2}},$$ where $c_d$ is the constant that normalizes the Coulomb kernel to have mean value 0. We use this to show that minimizers of the discrete Green energy on compact manifolds have optimal rate of convergence $W_2\left( \frac{1}{n} \sum_{k=1}^{n}{\delta_{x_k}}, dx\right) \lesssim n^{-1/d}$. The second inequality implies the same result for minimizers of the Coulomb energy on $\mathbb{S}^d$ which was recently proven by Marzo & Mas.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript proves the inequality W_2((1/n) sum delta_{x_k}, dx) ≲_M n^{-1/d} + (1/n) |sum_{k≠ℓ} G(x_k, x_ℓ)|^{1/2} on a smooth compact d-manifold (d≥3) without boundary, where G is the mean-zero Green's function of -Δ. An analogous bound is established for the normalized Coulomb kernel on S^d. These are applied to show that minimizers of the discrete Green energy (and of the Coulomb energy on the sphere) achieve the optimal rate W_2 ≲ n^{-1/d}, by combining the inequality with an explicit upper bound on the minimal energy obtained from a suitable test configuration.

Significance. If the central inequality holds, the work supplies a direct, quantitative link between discrete Green/Coulomb energy and equidistribution measured in W_2 distance. The derivation uses only standard singularity and regularity properties of the Green's function together with a discrepancy-controlled test configuration; this is a clear strength. The result confirms the optimal rate for energy minimizers and recovers the recent Marzo-Mas theorem on the sphere as a special case.

minor comments (3)
  1. §1, after the statement of the main inequality: the dependence of the implicit constant on the manifold M (via its geometry and the normalization of G) is asserted but not quantified; a brief remark on the explicit dependence would improve readability.
  2. The proof of the upper bound on the minimal discrete energy (used to obtain the rate for minimizers) relies on a specific test configuration whose discrepancy is controlled at rate n^{-1/d}; a short paragraph recalling the construction and the resulting energy estimate would make the argument self-contained.
  3. In the Coulomb case on S^d, the subtracted constant c_d is defined as the mean of 1/||x-y||^{d-2}; stating its explicit value (or its integral representation) in the theorem statement would avoid cross-reference to the normalization paragraph.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive summary, significance assessment, and recommendation of minor revision. No major comments were listed in the report, so we have no points requiring point-by-point rebuttal. We will incorporate any minor suggestions during revision.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper establishes the Wasserstein bound via direct estimates on the Green's function (mean-zero normalization, |x-y|^{2-d} singularity, manifold smoothness) without any reduction to fitted parameters or self-referential definitions. The consequence for energy minimizers is obtained by pairing the inequality with an independent upper bound on minimal discrete energy from an explicit test configuration whose discrepancy is controlled at rate n^{-1/d}. The cited Marzo & Mas result is external and concerns only the sphere case; no self-citation is load-bearing, no ansatz is smuggled, and no quantity is renamed as a prediction. The derivation chain is therefore self-contained against the stated assumptions on M and G.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The central claim rests on standard properties of the Green's function for the Laplacian on compact Riemannian manifolds (existence, symmetry, mean-zero normalization) and the definition of the 2-Wasserstein distance; no free parameters or invented entities are introduced.

axioms (2)
  • standard math Existence and basic regularity of the Green's function G for -Δ on a smooth compact manifold without boundary, normalized to mean zero.
    Invoked in the statement of the inequality; standard background from elliptic PDE theory on manifolds.
  • standard math The 2-Wasserstein distance is well-defined between the empirical measure and the normalized volume measure.
    Implicit in the left-hand side of the claimed bound.

pith-pipeline@v0.9.0 · 5967 in / 1386 out tokens · 16722 ms · 2026-05-24T18:09:41.538210+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

38 extracted references · 38 canonical work pages · 2 internal anchors

  1. [1]

    Aronson, Non-negative solutions of linear parabolic equations, Ann

    D. Aronson, Non-negative solutions of linear parabolic equations, Ann. Sci. Norm. Sup. 22 (1968), 607–694

  2. [2]

    Aubin, Some Nonlinear Problems in Riemannian Geometr y, Springer Monographs in Math- ematics, Springer Berlin Heidelberg, 1998

    T. Aubin, Some Nonlinear Problems in Riemannian Geometr y, Springer Monographs in Math- ematics, Springer Berlin Heidelberg, 1998

  3. [3]

    Beck, Sums of distances between points on a sphere–an a pplication of the theory of irreg- ularities of distribution to discrete geometry, Mathemati ka 31 (1984), no

    J. Beck, Sums of distances between points on a sphere–an a pplication of the theory of irreg- ularities of distribution to discrete geometry, Mathemati ka 31 (1984), no. 1, 33–41

  4. [4]

    Beltran, A facility location formulation for stable p olynomials and elliptic Fekete points, Found

    C. Beltran, A facility location formulation for stable p olynomials and elliptic Fekete points, Found. Comput. Math. 15 (2015), no. 1, 125–157

  5. [5]

    Beltran, N

    C. Beltran, N. Corral and J. Criado del Rey, Discrete and C ontinuous Green Energy on Compact Manifolds, Journal of Approximation Theory 237,p. 160–185 (2019)

  6. [6]

    Betermin and E

    L. Betermin and E. Sandier, Renormalized energy and asym ptotic expansion of optimal logarithmic energy on the sphere, Constructive Approximat ion 47, p. 39–74, 2018

  7. [7]

    Blanc and M

    X. Blanc and M. Lewin, The Crystallization Conjecture: A Review, EMS Surveys in Mathe- matical Sciences 2, p. 255-306, (2015)

  8. [8]

    S.Borodachov, D.Hardin, and E.B.Saff, Discrete Energy o n Rectifiable Sets, Springer 2019

  9. [9]

    Brauchart, Optimal logarithmic energy points on the u nit sphere, Math

    J. Brauchart, Optimal logarithmic energy points on the u nit sphere, Math. Comp. 77, 1599- 1613, (2008)

  10. [10]

    J. S. Brauchart and P. J. Grabner, Distributing many poi nts on spheres: minimal energy and designs, J. Complexity 31, no. 3, 293–326, (2015)

  11. [11]

    Chafa ¨ ı, A

    D. Chafa ¨ ı, A. Hardy and M. Ma ¨ ıda, Concentration for Coulomb gases and Coulomb transport inequalities, Journal of Functional Analysis 275, p. 1447– 1483 (2018)

  12. [12]

    Cohn and A

    H. Cohn and A. Kumar, Universally optimal distribution of points on spheres, J. Amer. Math. Soc. 20 (2007), no. 1, 99–148

  13. [13]

    On the separation distance of minimal Green energy points on compact Riemannian manifolds

    J. Criado del Rey, On the separation distance of minimal Green energy points on compact Riemannian manifolds, arXiv:1901.00779

  14. [14]

    Dahlberg, Regularity Properties of Riesz Potential s, Indiana University Mathematics Jour- nal 28, pp

    B. Dahlberg, Regularity Properties of Riesz Potential s, Indiana University Mathematics Jour- nal 28, pp. 257–268 (1979)

  15. [15]

    Dick and F

    J. Dick and F. Pillichshammer, Digital nets and sequenc es. Discrepancy theory and quasi- Monte Carlo integration. Cambridge University Press, Camb ridge, 2010

  16. [16]

    Drmota, R

    M. Drmota, R. Tichy, Sequences, discrepancies and appl ications. Lecture Notes in Mathe- matics, 1651. Springer-Verlag, Berlin, 1997

  17. [17]

    Fekete, Uber die Verteilung der W urzeln bei gewissen algebraischen Gleichungen mit ganzzahligen Koeffizienten, Math

    M. Fekete, Uber die Verteilung der W urzeln bei gewissen algebraischen Gleichungen mit ganzzahligen Koeffizienten, Math. Z. 17 (1923), no. 1, 228–24 9

  18. [18]

    Garc ´ ıa-Zelada, Concentration for Coulomb Gases oncompact manifolds, Volume 24 (2019), paper no

    D. Garc ´ ıa-Zelada, Concentration for Coulomb Gases oncompact manifolds, Volume 24 (2019), paper no. 12, 18 pp

  19. [19]

    D.Hardin and E.Saff, Discretizing manifolds via minimu m energy points, Notices AMS, 2004

  20. [20]

    Kuipers and H

    L. Kuipers and H. Niederreiter, Uniform distribution o f sequences. Pure and Applied Math- ematics. Wiley-Interscience, New York-London-Sydney, 19 74

  21. [21]

    Lebl´ e and S

    T. Lebl´ e and S. Serfaty, Large deviation principle for empirical fields of Log and Riesz gases, Inventiones mathematicae 210, p. 645–757 (2017)

  22. [22]

    Lev and J

    N. Lev and J. Ortega-Cerd` a, Equidistribution estimat es for Fekete points on complex mani- folds, Journal of the European Mathematical Society 18 (201 6), no. 2, 425–464

  23. [23]

    Lubotzky, R

    A. Lubotzky, R. Phillips, and P. Sarnak, Hecke operator s and distributing points on the sphere. I, Comm. Pure Appl. Math. 39 (1986), no. S, suppl., S1 49–S186, Frontiers of the mathematical sciences: 1985 (New York, 1985)

  24. [24]

    Discrepancy of minimal Riesz energy points

    J. Marzo and A. Mas, Discrepancy of Minimal Riesz Energy Points, arXiv:1907.04814

  25. [25]

    Peyre, Comparison between W2 distance and ˙H −1 norm, and Localization of W asserstein distance, to appear in ESAIM: COCV 24, p

    R. Peyre, Comparison between W2 distance and ˙H −1 norm, and Localization of W asserstein distance, to appear in ESAIM: COCV 24, p. 1489 – 1501, 2018

  26. [26]

    Rougerie and S

    N. Rougerie and S. Serfaty. Higher-dimensional Coulom b gases and renormalized energy func- tionals. Comm. Pure Appl. Math., 69(3):519–605, 2016

  27. [27]

    Saff and V

    E. Saff and V. Totik, Logarithmic potentials with extern al fields, Springer (2013)

  28. [28]

    Santambrogio, Optimal transport for applied mathem aticians

    F. Santambrogio, Optimal transport for applied mathem aticians. Calculus of Variations, PDEs, and Modeling. Progress in Nonlinear Differential Equa tions and their Applications,

  29. [29]

    Birkhauser/Springer, Cham, 2015

  30. [30]

    R. E. Schwartz, The five-electron case of Thomson’s prob lem. Exp. Math. 22 (2013), no. 2, 157–186. 16

  31. [31]

    Shub and S

    M. Shub and S. Smale, Complexity of Bezouts theorem. III . Condition number and packing, J. Complexity 9 (1993), no. 1, 4–14, Festschrift for Joseph F . Traub, Part I

  32. [32]

    Steinerberger, W asserstein Distance, Fourier Seri es and Applications, arXiv:1803.08011

    S. Steinerberger, W asserstein Distance, Fourier Seri es and Applications, arXiv:1803.08011

  33. [33]

    J. J. Thomson, On the Structure of the Atom: an Investiga tion of the Stability and Periods of Oscillation of a number of Corpuscles arranged at equal inte rvals around the Circumference of a Circle; with Application of the Results to the Theory of A tomic Structure, Philosophical Magazine Series 6, Volume 7, Number 39, pp. 237–265, March 19 04

  34. [34]

    Tsuji, Potential theory in modern function theory, M aruzen Co., Ltd., Tokyo, 1959

    M. Tsuji, Potential theory in modern function theory, M aruzen Co., Ltd., Tokyo, 1959

  35. [35]

    W agner, On the means of distances on the surface of a sp here (lower bounds), Pacific J

    G. W agner, On the means of distances on the surface of a sp here (lower bounds), Pacific J. Math. 144 (1990), 389–398

  36. [36]

    L. N. Vasershtein, Markov processes on a countable prod uct space, describing large systems of automata, Problemy Peredachi Informatsii, 5, 3 (1969), p p. 64–73

  37. [37]

    Villani, Topics in Optimal Transportation, Graduat e Studies in Mathematics, American Mathematical Society, 2003

    C. Villani, Topics in Optimal Transportation, Graduat e Studies in Mathematics, American Mathematical Society, 2003

  38. [38]

    Zinterhof, ¨Uber einige Absch¨ atzungen bei der Approximation von Funkt ionen mit Gle- ichverteilungsmethoden

    P. Zinterhof, ¨Uber einige Absch¨ atzungen bei der Approximation von Funkt ionen mit Gle- ichverteilungsmethoden. ¨Osterreich. Akad. Wiss. Math.-Naturwiss. Kl. S.-B. II 185 ( 1976), no. 1-3, 121–132. Department of Mathematics, Yale University, New Haven, CT 0651 1, USA E-mail address : stefan.steinerberger@yale.edu