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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Algebra and Related Topics</JournalTitle>
				<Issn>2345-3931</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Construction of symmetric pentadiagonal matrix from three interlacing spectrum</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>89</FirstPage>
			<LastPage>98</LastPage>
			<ELocationID EIdType="pii">6003</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jart.2022.19706.1276</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>K.</FirstName>
					<LastName>Ghanbari</LastName>
<Affiliation>Department of Mathematics, Sahand University of Technology, Tabriz, IRAN</Affiliation>

</Author>
<Author>
					<FirstName>M. Rahimnevasi</FirstName>
					<LastName>Moghaddam</LastName>
<Affiliation>Department of Mathematics, Sahand University of Technology, Tabriz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>05</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>‎In this paper‎, ‎we introduce a new algorithm for constructing a‎ ‎symmetric pentadiagonal matrix by using three interlacing spectrum‎, ‎say $(\lambda_i)_{i=1}^n$‎, ‎$(\mu_i)_{i=1}^n$ and $(\nu_i)_{i=1}^n$‎ ‎such that‎&lt;br /&gt;‎\begin{eqnarray*}‎&lt;br /&gt;‎0&lt;\lambda_1&lt;\mu_1&lt;\lambda_2&lt;\mu_2&lt;...&lt;\lambda_n&lt;\mu_n,\\‎&lt;br /&gt;‎\mu_1&lt;\nu_1&lt;\mu_2&lt;\nu_2&lt;...&lt;\mu_n&lt;\nu_n‎,&lt;br /&gt;‎\end{eqnarray*}‎&lt;br /&gt;‎where $(\lambda_i)_{i=1}^n$ are the eigenvalues of pentadiagonal‎ ‎matrix $A$‎, ‎$(\mu_i)_{i=1}^n$ are the eigenvalues of $A^*$ (the‎   ‎matrix $A^*$ differs from $A$ only in the $(1,1)$ entry) and‎ ‎$(\nu_i)_{i=1}^n$ are the eigenvalues of $A^{**}$ (the matrix‎ ‎$A^{**}$ differs from $A^*$ only in the $(2,2)$ entry)‎. ‎From the‎&lt;br /&gt;‎interlacing spectrum‎, ‎we find the first and second columns of‎ ‎eigenvectors‎. ‎Sufficient conditions for the solvability of the problem‎ ‎are given‎. ‎Then we construct the pentadiagonal matrix $A$ from these‎ ‎eigenvectors and given eigenvalues by using the block Lanczos algorithm‎. ‎We‎ ‎also give an example to demonstrate the efficiency of the algorithm‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Inverse eigenvalue problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pentadiagonal matrix</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Interlacing‎ ‎property</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lanczos algorithm</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jart.guilan.ac.ir/article_6003_ba3dd30e6883dbfabe73cd10068b9fe7.pdf</ArchiveCopySource>
</Article>
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