<p>The Lane–Emden inequality controls <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3062_Article_IEq1.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="205" /> </InlineMediaObject> <EquationSource Format="TEX">\(\iint _{\mathbb {R}^{2d}}\rho (x)\rho (y)|x-y|^{-\lambda }\,\textrm{d}x\,\textrm{d}y\)</EquationSource> </InlineEquation> in terms of the <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3062_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(L^1\)</EquationSource> </InlineEquation> and <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3062_Article_IEq3.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="20" /> </InlineMediaObject> <EquationSource Format="TEX">\(L^p\)</EquationSource> </InlineEquation> norms of <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3062_Article_IEq4.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho \)</EquationSource> </InlineEquation>. We provide a remainder estimate for this inequality in terms of a suitable distance of <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3062_Article_IEq4.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho \)</EquationSource> </InlineEquation> to the manifold of optimizers.</p>

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Stability estimate for the Lane–Emden inequality

  • Eric Carlen,
  • Mathieu Lewin,
  • Elliott H. Lieb,
  • Robert Seiringer

摘要

The Lane–Emden inequality controls \(\iint _{\mathbb {R}^{2d}}\rho (x)\rho (y)|x-y|^{-\lambda }\,\textrm{d}x\,\textrm{d}y\) in terms of the \(L^1\) and \(L^p\) norms of \(\rho \) . We provide a remainder estimate for this inequality in terms of a suitable distance of \(\rho \) to the manifold of optimizers.