<p>Quaternion algebra <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="double-struck">H</mi> </math></EquationSource> </InlineEquation> as a generalization of complex numbers is a noncommutative associative algebra. Recently, quaternionic Fourier analysis has interested some mathematicians due to its potentials in signal analysis and color image processing. This paper addresses quaternionic generalized affine phase retrieval (QGAPR) in quaternion Euclidean spaces <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation>. Let <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq3.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="320" /> </InlineMediaObject> <EquationSource Format="TEX">\((\mathcal {F},\,{h})=\{(F_{n},\,h_{n})\}_{n\in \mathbb {N}_{N}} \subset \mathcal {M}_{M\times L}(\mathbb {H})\times \mathbb {H}^{L}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">F</mi> <mo>,</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msub> <mrow> <mo stretchy="false">{</mo> <mrow> <mo stretchy="false">(</mo> <msub> <mi>F</mi> <mi>n</mi> </msub> <mo>,</mo> <mspace width="0.166667em" /> <msub> <mi>h</mi> <mi>n</mi> </msub> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">}</mo> </mrow> <mrow> <mi>n</mi> <mo>∈</mo> <msub> <mi mathvariant="double-struck">N</mi> <mi>N</mi> </msub> </mrow> </msub> <mo>⊂</mo> <msub> <mi mathvariant="script">M</mi> <mrow> <mi>M</mi> <mo>×</mo> <mi>L</mi> </mrow> </msub> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="double-struck">H</mi> <mo stretchy="false">)</mo> </mrow> <mo>×</mo> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>L</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>, where <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq4.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="77" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathcal {M}_{M\times L}(\mathbb {H})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="script">M</mi> <mrow> <mi>M</mi> <mo>×</mo> <mi>L</mi> </mrow> </msub> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="double-struck">H</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> denotes the set of all <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq5.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="55" /> </InlineMediaObject> <EquationSource Format="TEX">\(M\times L\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>M</mi> <mo>×</mo> <mi>L</mi> </mrow> </math></EquationSource> </InlineEquation> quaternionic matrices. We introduce the concept of QGAPR in <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation> associated with <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq7.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="48" /> </InlineMediaObject> <EquationSource Format="TEX">\((\mathcal {F},\,{h})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">F</mi> <mo>,</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> which aims to recover signals exactly from the magnitude of their quaternionic affine transformations, and establish the characterizations of QGAPR for <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation> based on real Jacobian matrices and phaselift operators respectively. Also, we prove that <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="MediaObjects/25_2025_2387_IEq9_HTML.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="120" Type="Linedraw" Width="117" /> </InlineMediaObject> </InlineEquation> is sufficient for the existence of <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq7.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="48" /> </InlineMediaObject> <EquationSource Format="TEX">\((\mathcal {F},\,{h})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">F</mi> <mo>,</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> allowing QGAPR for <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation>, and that, under a mild condition, <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="MediaObjects/25_2025_2387_IEq12_HTML.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="120" Type="Linedraw" Width="117" /> </InlineMediaObject> </InlineEquation> is also necessary for the existence of <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq7.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="48" /> </InlineMediaObject> <EquationSource Format="TEX">\((\mathcal {F},\,{h})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">F</mi> <mo>,</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> allowing QGAPR for <InlineEquation ID="IEq14"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation>. Finally, we prove that, if <InlineEquation ID="IEq15"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="MediaObjects/25_2025_2387_IEq15_HTML.gif" Format="GIF" Height="25" Rendition="HTML" Resolution="120" Type="Linedraw" Width="117" /> </InlineMediaObject> </InlineEquation>, the set of all <InlineEquation ID="IEq16"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq7.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="48" /> </InlineMediaObject> <EquationSource Format="TEX">\((\mathcal {F},\,{h})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="script">F</mi> <mo>,</mo> <mspace width="0.166667em" /> <mi>h</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> allowing QGAPR for <InlineEquation ID="IEq17"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="25_2025_2387_Article_IEq2.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb {H}^{M}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">H</mi> </mrow> <mi>M</mi> </msup> </math></EquationSource> </InlineEquation> is not an open set, and its every point is not an isolated point. This makes QGAPR very different from quaternionic generalized phase retrieval (QGPR).</p>

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Quaternionic Generalized Affine Phase Retrieval and Its Topological Properties in Quaternion Euclidean Spaces

  • Yun-Zhang Li,
  • Ming Yang

摘要

Quaternion algebra \(\mathbb {H}\) H as a generalization of complex numbers is a noncommutative associative algebra. Recently, quaternionic Fourier analysis has interested some mathematicians due to its potentials in signal analysis and color image processing. This paper addresses quaternionic generalized affine phase retrieval (QGAPR) in quaternion Euclidean spaces \(\mathbb {H}^{M}\) H M . Let \((\mathcal {F},\,{h})=\{(F_{n},\,h_{n})\}_{n\in \mathbb {N}_{N}} \subset \mathcal {M}_{M\times L}(\mathbb {H})\times \mathbb {H}^{L}\) ( F , h ) = { ( F n , h n ) } n N N M M × L ( H ) × H L , where \(\mathcal {M}_{M\times L}(\mathbb {H})\) M M × L ( H ) denotes the set of all \(M\times L\) M × L quaternionic matrices. We introduce the concept of QGAPR in \(\mathbb {H}^{M}\) H M associated with \((\mathcal {F},\,{h})\) ( F , h ) which aims to recover signals exactly from the magnitude of their quaternionic affine transformations, and establish the characterizations of QGAPR for \(\mathbb {H}^{M}\) H M based on real Jacobian matrices and phaselift operators respectively. Also, we prove that is sufficient for the existence of \((\mathcal {F},\,{h})\) ( F , h ) allowing QGAPR for \(\mathbb {H}^{M}\) H M , and that, under a mild condition, is also necessary for the existence of \((\mathcal {F},\,{h})\) ( F , h ) allowing QGAPR for \(\mathbb {H}^{M}\) H M . Finally, we prove that, if , the set of all \((\mathcal {F},\,{h})\) ( F , h ) allowing QGAPR for \(\mathbb {H}^{M}\) H M is not an open set, and its every point is not an isolated point. This makes QGAPR very different from quaternionic generalized phase retrieval (QGPR).