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Double-layer potentials, configuration constants and applications to numerical ranges

Bartosz Malman, Javad Mashreghi, Ryan O'Loughlin, Thomas Ransford

TL;DR

This paper introduces and analyzes the real, complex, and analytic Neumann–Poincaré configuration constants for convex planar domains and proves c_R(Ω) = c_C(Ω) =: c(Ω) while showing a(Ω) < 1 for all such Ω. It develops a Three-measures theorem as the central tool, derives a sharp bound a(W) governing polynomial functional calculi, and applies these results to obtain refined spectral-constant bounds for operators in terms of their numerical ranges, including explicit ellipse-based constants. The work also provides explicit calculations for ellipses, integral curvature-based estimates, and near-extremal quadrilateral examples, linking geometric boundary properties to operator-theoretic constants. These results yield improved universal bounds in functional calculus and deepen the connection between boundary potential theory and operator theory, with practical implications for estimating ||p(T)|| in terms of the numerical range or a domain containing it.

Abstract

Given a compact convex planar domain $Ω$ with non-empty interior, the classical Neumann's configuration constant $c_{\mathbb{R}}(Ω)$ is the norm of the Neumann-Poincaré operator $K_Ω$ acting on the space of continuous real-valued functions on the boundary $\partial Ω$, modulo constants. We investigate the related operator norm $c_{\mathbb{C}}(Ω)$ of $K_Ω$ on the corresponding space of complex-valued functions, and the norm $a(Ω)$ on the subspace of analytic functions. This change requires introduction of techniques much different from the ones used in the classical setting. We prove the equality $c_{\mathbb{R}}(Ω) = c_{\mathbb{C}}(Ω)$, the analytic Neumann-type inequality $a(Ω) < 1$, and provide various estimates for these quantities expressed in terms of the geometry of $Ω$. We apply our results to estimates for the holomorphic functional calculus of operators on Hilbert space of the type $\|p(T)\| \leq K \sup_{z \in Ω} |p(z)|$, where $p$ is a polynomial and $Ω$ is a domain containing the numerical range of the operator $T$. Among other results, we show that the well-known Crouzeix-Palencia bound $K \leq 1 + \sqrt{2}$ can be improved to $K \leq 1 + \sqrt{1 + a(Ω)}$. In the case that $Ω$ is an ellipse, this leads to an estimate of $K$ in terms of the eccentricity of the ellipse.

Double-layer potentials, configuration constants and applications to numerical ranges

TL;DR

This paper introduces and analyzes the real, complex, and analytic Neumann–Poincaré configuration constants for convex planar domains and proves c_R(Ω) = c_C(Ω) =: c(Ω) while showing a(Ω) < 1 for all such Ω. It develops a Three-measures theorem as the central tool, derives a sharp bound a(W) governing polynomial functional calculi, and applies these results to obtain refined spectral-constant bounds for operators in terms of their numerical ranges, including explicit ellipse-based constants. The work also provides explicit calculations for ellipses, integral curvature-based estimates, and near-extremal quadrilateral examples, linking geometric boundary properties to operator-theoretic constants. These results yield improved universal bounds in functional calculus and deepen the connection between boundary potential theory and operator theory, with practical implications for estimating ||p(T)|| in terms of the numerical range or a domain containing it.

Abstract

Given a compact convex planar domain with non-empty interior, the classical Neumann's configuration constant is the norm of the Neumann-Poincaré operator acting on the space of continuous real-valued functions on the boundary , modulo constants. We investigate the related operator norm of on the corresponding space of complex-valued functions, and the norm on the subspace of analytic functions. This change requires introduction of techniques much different from the ones used in the classical setting. We prove the equality , the analytic Neumann-type inequality , and provide various estimates for these quantities expressed in terms of the geometry of . We apply our results to estimates for the holomorphic functional calculus of operators on Hilbert space of the type , where is a polynomial and is a domain containing the numerical range of the operator . Among other results, we show that the well-known Crouzeix-Palencia bound can be improved to . In the case that is an ellipse, this leads to an estimate of in terms of the eccentricity of the ellipse.
Paper Structure (42 sections, 31 theorems, 165 equations, 7 figures)

This paper contains 42 sections, 31 theorems, 165 equations, 7 figures.

Key Result

Theorem 1

The equality holds for every compact convex domain $\Omega$ with non-empty interior.

Figures (7)

  • Figure 1: Example domain $\Omega$ with corner of angle $\theta_{\zeta'}$ at $\zeta'$, and a circle of radius $R_{\zeta, \sigma}$ with center $m$, tangent to $\partial \Omega$ at $\sigma$ and passing through $\zeta$.
  • Figure 2: A triangular image of a complex-valued function $g$ contained in a disk of radius $1$, with three points on the boundary of a disk.
  • Figure 3: The initial disk $\mathbb{D}_K$ is the dashed circle, and we assume that $\partial \mathbb{D}_K \cap K$ is contained in the black thick arc. Then $K$ will be contained in the grey disk which is obtained from $\mathbb{D}_K$ by first translating $\mathbb{D}_K$ in the direction of the positive real axis, and then slightly shrinking the translated disk. This contradicts the minimality of $\mathbb{D}_K$.
  • Figure 4: The thick arc $J$ between $a$ and $b$ is the smallest containing the compact set $K$. It follows that the shorter arc between the antipodal points $\tilde{a}$ an $\tilde{b}$ must contain points of $K$.
  • Figure 5: The unit disk in dark grey with the strip $S_\delta$ removed. The dotted circle containing the dark grey area has a radius slightly smaller than $1$.
  • ...and 2 more figures

Theorems & Definitions (53)

  • Theorem 1
  • Theorem 2
  • Theorem 3
  • Corollary 4
  • Corollary 5
  • Theorem 6
  • Theorem 7
  • Proposition 8
  • Proposition 9
  • Lemma 10
  • ...and 43 more