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Maximal polarization for periodic configurations on the real line

Markus Faulhuber, Stefan Steinerberger

TL;DR

This work solves the 1D Gaussian polarization problem for periodic configurations in the regime of many points per period. Using Fourier analysis, Poisson summation, and theta-function technology, it proves that equispaced configurations maximize the minimum of the Gaussian-summed field $p_α(x)$ and, via a universal optimality argument, minimize its maximum, with the results holding for large $n$ (depending only on $α$). The analysis hinges on a delicate perturbative regime showing any near-equispaced configuration yields a strictly smaller minimum unless the configuration is exactly equispaced; a complementary corollary to heat-equation sampling extends the result to sampling on the circle. The findings connect to energy minimization and universal optimality literature, and they establish a robust Fourier-analytic approach applicable to a broader class of fast-decaying kernels beyond the Gaussian.

Abstract

We prove that among all 1-periodic configurations $Γ$ of points on the real line $\mathbb{R}$ the quantities $$ \min_{x \in \mathbb{R}} \sum_{γ\in Γ} e^{- πα(x - γ)^2} \quad \text{and} \quad \max_{x \in \mathbb{R}} \sum_{γ\in Γ} e^{- πα(x - γ)^2}$$ are maximized and minimized, respectively, if and only if the points are equispaced and whenever the number of points $n$ per period is sufficiently large (depending on $α$). This solves the polarization problem for periodic configurations with a Gaussian weight on $\mathbb{R}$ for large $n$. The first result is shown using Fourier series. The second result follows from work of Cohn and Kumar on universal optimality and holds for all $n$ (independent of $α$).

Maximal polarization for periodic configurations on the real line

TL;DR

This work solves the 1D Gaussian polarization problem for periodic configurations in the regime of many points per period. Using Fourier analysis, Poisson summation, and theta-function technology, it proves that equispaced configurations maximize the minimum of the Gaussian-summed field and, via a universal optimality argument, minimize its maximum, with the results holding for large (depending only on ). The analysis hinges on a delicate perturbative regime showing any near-equispaced configuration yields a strictly smaller minimum unless the configuration is exactly equispaced; a complementary corollary to heat-equation sampling extends the result to sampling on the circle. The findings connect to energy minimization and universal optimality literature, and they establish a robust Fourier-analytic approach applicable to a broader class of fast-decaying kernels beyond the Gaussian.

Abstract

We prove that among all 1-periodic configurations of points on the real line the quantities are maximized and minimized, respectively, if and only if the points are equispaced and whenever the number of points per period is sufficiently large (depending on ). This solves the polarization problem for periodic configurations with a Gaussian weight on for large . The first result is shown using Fourier series. The second result follows from work of Cohn and Kumar on universal optimality and holds for all (independent of ).
Paper Structure (23 sections, 13 theorems, 164 equations, 2 figures)

This paper contains 23 sections, 13 theorems, 164 equations, 2 figures.

Key Result

Proposition 1.1

Among all periodic configurations $\Gamma \subset \mathbb{R}$ of the form of fixed density $\delta > 0$ and for any fixed parameter $\alpha > 0$, the quantity if and only if the points are equispaced. Moreover, among all sets of $n$ points on the torus $\mathbb{T} \cong \mathbb{S}^1$ and for any fixed parameter $\alpha > 0$, the quantity if and only if the points are equispaced.

Figures (2)

  • Figure 1: Illustration of the result of Cohn and Kumar CohKum07. Building the average of $p_\alpha(x)$ at the points $\{x_1, \ldots , x_n\}$ (in this case $n=3$) for periodic, non-equispaced configuration always yields a larger value than for the equispaced points. As we sum $n$ times the maximum in the equispaced case, it follows that the maximum of $p_\alpha(x)$ is minimal only for the equispaced configuration.
  • Figure 2: For the sum of equispaced periodic Gaussians the minimum is achieved midway between successive shifts. For sums of shifts by a general periodic configurations it is rather difficult to grasp the minimum. For the plot we have normalized the sum to oscillate around 1, i.e., the integral over 1 period is 1.

Theorems & Definitions (26)

  • Proposition 1.1: Application of Cohn and Kumar CohKum07
  • Theorem : Main Result
  • Corollary 2.4.1
  • proof
  • Remark
  • proof
  • Proposition 5.1.1
  • proof
  • Lemma 5.2.1
  • proof
  • ...and 16 more