<p>We study the spectrality of a class of self-affine measures <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="40" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mu_{M,D}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>μ</mi> <mrow> <mi>M</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> generated by an expanding matrix <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq3.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="88" /> </InlineMediaObject> <EquationSource Format="TEX">\(M\in M_{n}(\mathbb{Z})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>M</mi> <mo>∈</mo> <msub> <mi>M</mi> <mi>n</mi> </msub> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="double-struck">Z</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> and a finite collinear digit set <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq4.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="58" /> </InlineMediaObject> <EquationSource Format="TEX">\({D\subset \mathbb{R}^{n}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>D</mi> <mo>⊂</mo> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </mrow> </math></EquationSource> </InlineEquation>. For the general form of the characteristic polynomial of <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq5.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="21" /> </InlineMediaObject> <EquationSource Format="TEX">\(M\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>M</mi> </math></EquationSource> </InlineEquation>, we analyze the relation between its roots and coefficients, and then give a method to find out a spectrum for <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="40" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mu_{M,D}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>μ</mi> <mrow> <mi>M</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> by constructing a similarity transformation. This offers a fresh perspective on constructing a spectrum for <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="40" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mu_{M,D}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>μ</mi> <mrow> <mi>M</mi> <mo>,</mo> <mi>D</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> on <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="20" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb{R}^{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </math></EquationSource> </InlineEquation>. Under a suitable condition, we also obtain a necessary and sufficient condition for self-affine measures with three-element collinear digit set on <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10476_2025_100_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="20" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathbb{R}^{n}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="double-struck">R</mi> </mrow> <mi>n</mi> </msup> </math></EquationSource> </InlineEquation> to be spectral measures, and then construct a counterexample to a conjecture of Liu et al.</p>

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Spectrality of a class of self-affine measures with collinear digit sets on \(\mathbb{R}^{n}\)

  • M.-S. Yang,
  • J.-W. Er

摘要

We study the spectrality of a class of self-affine measures \(\mu_{M,D}\) μ M , D generated by an expanding matrix \(M\in M_{n}(\mathbb{Z})\) M M n ( Z ) and a finite collinear digit set \({D\subset \mathbb{R}^{n}}\) D R n . For the general form of the characteristic polynomial of \(M\) M , we analyze the relation between its roots and coefficients, and then give a method to find out a spectrum for \(\mu_{M,D}\) μ M , D by constructing a similarity transformation. This offers a fresh perspective on constructing a spectrum for \(\mu_{M,D}\) μ M , D on \(\mathbb{R}^{n}\) R n . Under a suitable condition, we also obtain a necessary and sufficient condition for self-affine measures with three-element collinear digit set on \(\mathbb{R}^{n}\) R n to be spectral measures, and then construct a counterexample to a conjecture of Liu et al.