<p>We study a set of generalized V-line transforms, namely longitudinal, mixed, and transverse V-line transforms, of a symmetric <i>m</i>-tensor field in <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13324_2025_1088_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {R}^2\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation>. The goal of this article is to recover a symmetric <i>m</i>-tensor field <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13324_2025_1088_Article_IEq4.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="7" /> </InlineMediaObject> <EquationSource Format="TEX">\({\textbf {{f}}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="bold">f</mi> </math></EquationSource> </InlineEquation> supported in a disk <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="13324_2025_1088_Article_IEq5.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="24" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {D}_R\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="double-struck">D</mi> <mi>R</mi> </msub> </math></EquationSource> </InlineEquation>, with radius <i>R</i> and centered at the origin, by a combination of the aforementioned generalized V-line transforms, using two different techniques for different sets of data.</p>

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Tensor tomography for a set of generalized V-line transforms in \(\mathbb {R}^2\)

  • Rahul Bhardwaj

摘要

We study a set of generalized V-line transforms, namely longitudinal, mixed, and transverse V-line transforms, of a symmetric m-tensor field in \(\mathbb {R}^2\) R 2 . The goal of this article is to recover a symmetric m-tensor field \({\textbf {{f}}}\) f supported in a disk \(\mathbb {D}_R\) D R , with radius R and centered at the origin, by a combination of the aforementioned generalized V-line transforms, using two different techniques for different sets of data.