<p>Recently, the following sharp second order uncertainty principle has been proved in Cazacu et al (J Funct Anal 283(10): 109659, 2022) <Equation ID="Equ40"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_2988_Article_Equ40.gif" Format="GIF" Height="41" Rendition="HTML" Resolution="72" Type="Linedraw" Width="409" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned} \int _{\mathbb {R}^n}|\Delta u|^2 dx \int _{\mathbb {R}^n}|x|^2 |\nabla u|^2 dx \ge \Big (\frac{n+2}{2}\Big )^2 \Big (\int _{\mathbb {R}^n}|\nabla u|^2 dx\Big )^2. \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <msub> <mo>∫</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </msub> <msup> <mrow> <mo stretchy="false">|</mo> <mi mathvariant="normal">Δ</mi> <mi>u</mi> <mo stretchy="false">|</mo> </mrow> <mn>2</mn> </msup> <mi>d</mi> <mi>x</mi> <msub> <mo>∫</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </msub> <msup> <mrow> <mo stretchy="false">|</mo> <mi>x</mi> <mo stretchy="false">|</mo> </mrow> <mn>2</mn> </msup> <msup> <mrow> <mo stretchy="false">|</mo> <mi mathvariant="normal">∇</mi> <mi>u</mi> <mo stretchy="false">|</mo> </mrow> <mn>2</mn> </msup> <mi>d</mi> <mi>x</mi> <mo>≥</mo> <mrow> <mo maxsize="1.623em" minsize="1.623em" stretchy="true">(</mo> </mrow> <mfrac> <mrow> <mi>n</mi> <mo>+</mo> <mn>2</mn> </mrow> <mn>2</mn> </mfrac> <msup> <mrow> <mo maxsize="1.623em" minsize="1.623em" stretchy="true">)</mo> </mrow> <mn>2</mn> </msup> <mrow> <mo maxsize="1.623em" minsize="1.623em" stretchy="true">(</mo> </mrow> <msub> <mo>∫</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </msub> <msup> <mrow> <mo stretchy="false">|</mo> <mi mathvariant="normal">∇</mi> <mi>u</mi> <mo stretchy="false">|</mo> </mrow> <mn>2</mn> </msup> <mi>d</mi> <mi>x</mi> <msup> <mrow> <mo maxsize="1.623em" minsize="1.623em" stretchy="true">)</mo> </mrow> <mn>2</mn> </msup> <mo>.</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>In this paper, we prove a stability version of this inequality which shows that the difference of both sides of the inequality controls the distance to the set of extremal functions in <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_2988_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="19" /> </InlineMediaObject> <EquationSource Format="TEX">\(L^2\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>L</mi> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation> norm of gradient of functions.</p>

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On the stability estimate for the sharp second order uncertainty principle

  • Anh Tuan Duong,
  • Van Hoang Nguyen

摘要

Recently, the following sharp second order uncertainty principle has been proved in Cazacu et al (J Funct Anal 283(10): 109659, 2022) \(\begin{aligned} \int _{\mathbb {R}^n}|\Delta u|^2 dx \int _{\mathbb {R}^n}|x|^2 |\nabla u|^2 dx \ge \Big (\frac{n+2}{2}\Big )^2 \Big (\int _{\mathbb {R}^n}|\nabla u|^2 dx\Big )^2. \end{aligned}\) R n | Δ u | 2 d x R n | x | 2 | u | 2 d x ( n + 2 2 ) 2 ( R n | u | 2 d x ) 2 . In this paper, we prove a stability version of this inequality which shows that the difference of both sides of the inequality controls the distance to the set of extremal functions in \(L^2\) L 2 norm of gradient of functions.