An exceptional property of the one-dimensional Bianchi-Egnell inequality
Tobias K\"onig

TL;DR
This paper investigates the Bianchi-Egnell inequality in one dimension, revealing a unique property where the quotient exceeds the minimal value near the Sobolev optimizer manifold, suggesting no minimizer exists in this setting.
Contribution
It uncovers a surprising dimension-dependent behavior of the Bianchi-Egnell quotient in one dimension and proposes a conjecture about the non-existence of minimizers in this case.
Findings
In dimension one, the quotient exceeds the infimum near the optimizer manifold.
Numerical evidence supports the conjecture of no minimizer in 1D.
The behavior contrasts with higher dimensions, where minimizers exist.
Abstract
In this paper, for and , we study the Bianchi-Egnell quotient \[ \mathcal Q(f) = \inf_{f \in \dot{H}^s(\mathbb R^d) \setminus \mathcal B} \frac{\|(-\Delta)^{s/2} f\|_{L^2(\mathbb R^d)}^2 - S_{d,s} \|f\|_{L^{\frac{2d}{d-2s}}(\mathbb R^d)}^2}{\text{dist}_{\dot{H}^s(\mathbb R^d)}(f, \mathcal B)^2}, \qquad f \in \dot{H}^s(\mathbb R^d) \setminus \mathcal B, \] where is the best Sobolev constant and is the manifold of Sobolev optimizers. By a fine asymptotic analysis, we prove that when , there is a neighborhood of on which the quotient is larger than the lowest value attainable by sequences converging to . This behavior is surprising because it is contrary to the situation in dimension described recently in \cite{Koenig}. This leads us to conjecture that for ,…
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Taxonomy
TopicsNonlinear Partial Differential Equations
