<p>For any <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3019_Article_IEq4.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="40" /> </InlineMediaObject> <EquationSource Format="TEX">\(\theta &lt;\frac{1}{3}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>θ</mi> <mo>&lt;</mo> <mfrac> <mn>1</mn> <mn>3</mn> </mfrac> </mrow> </math></EquationSource> </InlineEquation>, we show that very weak solutions to the two-dimensional Monge–Ampère equation with regularity <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="526_2025_3019_Article_IEq5.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(C^{1,\theta }\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>C</mi> <mrow> <mn>1</mn> <mo>,</mo> <mi>θ</mi> </mrow> </msup> </math></EquationSource> </InlineEquation> are dense in the space of continuous functions. This result is shown by a convex integration scheme involving a subtle decomposition of the defect at each stage. The decomposition diagonalizes the defect and, in addition, incorporates some of the leading-order error terms of the first perturbation, effectively reducing the required amount of perturbations to one.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

\(C^{1,{1}/{3}-}\) very weak solutions to the two dimensional Monge–Ampère equation

  • Wentao Cao,
  • Jonas Hirsch,
  • Dominik Inauen

摘要

For any \(\theta <\frac{1}{3}\) θ < 1 3 , we show that very weak solutions to the two-dimensional Monge–Ampère equation with regularity \(C^{1,\theta }\) C 1 , θ are dense in the space of continuous functions. This result is shown by a convex integration scheme involving a subtle decomposition of the defect at each stage. The decomposition diagonalizes the defect and, in addition, incorporates some of the leading-order error terms of the first perturbation, effectively reducing the required amount of perturbations to one.