[Paper Review] Discrepancy, separation and Riesz energy of finite point sets on compact connected Riemannian manifolds
This paper establishes that on a smooth, compact, connected Riemannian manifold, any admissible sequence of finite point sets that is both asymptotically equidistributed and well-separated exhibits Riesz $ s $-energy converging to the continuous energy double integral, with convergence rate governed by geodesic ball discrepancy. The result generalizes prior findings on the sphere to general Riemannian manifolds using discrepancy-based estimates from Blümlinger (1988).
On a smooth compact connected $d$-dimensional Riemannian manifold $M$, if $0 < s < d$ then an asymptotically equidistributed sequence of finite subsets of $M$ that is also well-separated yields a sequence of Riesz $s$-energies that converges to the energy double integral, with a rate of convergence depending on the geodesic ball discrepancy. This generalizes a known result for the sphere.
Motivation & Objective
- To extend known results on Riesz energy convergence from the unit sphere to general compact connected Riemannian manifolds.
- To establish a quantitative convergence rate for Riesz $ s $-energy of finite point sets based on geodesic ball discrepancy.
- To formalize the interplay between equidistribution, separation, and energy minimization on Riemannian manifolds.
- To provide a framework for analyzing energy convergence using discrepancy theory in a Riemannian geometric setting.
- To bridge the gap between discrete energy minimization and continuous energy integrals on manifolds using geometric and measure-theoretic tools.
Proposed method
- Define the normalized Riesz $ s $-energy of a finite point set $ X $ on a $ d $-dimensional Riemannian manifold $ M $, using the geodesic distance as the kernel.
- Introduce the normalized ball discrepancy $ ilde{rak{D}}(X) $ as a measure of how uniformly $ X $ is distributed relative to the volume measure $ \sigma_M $.
- Use Blümlinger's discrepancy estimates (1988) to bound the difference between discrete and continuous energy integrals via discrepancy norms.
- Establish that for $ 0 < s < d $, the Riesz $ s $-energy of $ X $ converges to the double integral of the Riesz kernel over $ M \times M $, with rate depending on $ \tilde{\frak{D}}(X) $.
- Define admissible sequences as those with both discrepancy $ \tilde{\frak{D}}(X_\ell) < \delta(N_\ell) $ and separation $ \operatorname{dist}(x,y) > \Delta(N_\ell) $, where $ \delta, \Delta \to 0 $ as $ N_\ell \to \infty $.
- Leverage the compactness and smoothness of $ M $ to ensure uniform bounds on the Riesz kernel and its integrability, enabling the use of discrepancy-based error estimates.
Experimental results
Research questions
- RQ1Can the convergence of Riesz $ s $-energy for finite point sets on the sphere be generalized to arbitrary compact connected Riemannian manifolds?
- RQ2What is the dependence of the Riesz $ s $-energy convergence rate on the geometric distribution of the point set?
- RQ3How do discrepancy and separation properties of a point set influence its Riesz energy on a Riemannian manifold?
- RQ4Is there a general discrepancy-based error estimate that bounds the difference between discrete and continuous Riesz energy on manifolds?
- RQ5Can the methods used for spherical codes be adapted to prove energy convergence on general Riemannian manifolds with geodesic distance kernels?
Key findings
- For any smooth, compact, connected $ d $-dimensional Riemannian manifold $ M $, and for $ 0 < s < d $, the Riesz $ s $-energy of an admissible sequence of $ M $-codes converges to the continuous energy double integral.
- The rate of convergence of the Riesz $ s $-energy is bounded by a constant multiple of the normalized ball discrepancy $ \tilde{\frak{D}}(X) $, which quantifies the uniformity of point distribution.
- Well-separated sequences with separation $ \Delta(N) = \Omega(N^{-1/d}) $ exist on such manifolds, and this order is optimal due to volume packing constraints.
- The result generalizes prior work on the sphere by showing that the same convergence mechanism holds in the broader Riemannian setting using geodesic distance.
- The proof relies on adapting Blümlinger’s discrepancy estimates to the Riemannian context, establishing a quantitative link between distribution uniformity and energy convergence.
- The framework excludes diagonal terms in the energy sum, ensuring finite discrete energy even for $ s < d $, which is essential for convergence analysis.
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This review was created by AI and reviewed by human editors.