<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Iranian Journal of Mathematical Sciences and Informatics</title>
<title_fa>مجله علوم ریاضی و انفورماتیک</title_fa>
<short_title>IJMSI</short_title>
<subject>Basic Sciences</subject>
<web_url>http://ijmsi.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>1735-4463</journal_id_issn>
<journal_id_issn_online>2008-9473</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/ijmsi</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1395</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2016</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<volume>11</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Linear Functions Preserving Sut-Majorization on RN</title>
	<subject_fa>تخصصي</subject_fa>
	<subject>Special</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research paper</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;Suppose $textbf{M}_{n}$ is the vector space of all $n$-by-$n$ real matrices, and let $mathbb{R}^{n}$ be the set of all $n$-by-$1$ real vectors. A matrix $Rin textbf{M}_{n}$ is said to be $textit{row substochastic}$ if it has nonnegative entries and each row sum is at most $1$. For $x$, $y in mathbb{R}^{n}$, it is said that $x$ is $textit{sut-majorized}$ by $y$ (denoted by $ xprec_{sut} y$) if there exists an $n$-by-$n$ upper triangular row substochastic matrix $R$ such that $x=Ry$. In this note, we characterize the linear functions $T$ : $mathbb{R}^n$ $rightarrow$ $mathbb{R}^n$ preserving (resp. strongly preserving) $prec_{sut}$ with additional condition $Te_{1}neq 0$ (resp. no additional conditions).&lt;/p&gt;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>(Strong) linear preserver, Row substochastic matrix, Sut-Majorization.</keyword>
	<start_page>111</start_page>
	<end_page>118</end_page>
	<web_url>http://ijmsi.ir/browse.php?a_code=A-10-690-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>A.</first_name>
	<middle_name></middle_name>
	<last_name>Ilkhanizadeh Manesh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>a.ilkhani@vru.ac.ir</email>
	<code>10031947532846003963</code>
	<orcid>10031947532846003963</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Mathematics,Vali-e-Asr University of Rafsanjan</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
