<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Mathematical Researches</title>
<title_fa>پژوهش های ریاضی</title_fa>
<short_title>mmr</short_title>
<subject>Basic Sciences</subject>
<web_url>http://mmr.khu.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2588-2546</journal_id_issn>
<journal_id_issn_online>2588-2554</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.61186/mmr</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>fa</language>
<pubdate>
	<type>jalali</type>
	<year>1399</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2020</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<volume>6</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>fa</language>
	<article_id_doi></article_id_doi>
	<title_fa>مجموعه‌های موجک روی گروه‌های آبلی موضعاً فشرده</title_fa>
	<title>Wavelet Sets on Locally Compact Abelian Groups</title>
	<subject_fa>جبر</subject_fa>
	<subject>alg</subject>
	<content_type_fa>مقاله استخراج شده از طرح پژوهشی</content_type_fa>
	<content_type>Research Paper</content_type>
	<abstract_fa>&lt;p dir=&quot;RTL&quot; style=&quot;margin-right:1.0cm;&quot;&gt;&lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;در این مقاله مفهوم مجموعه&#8204;های&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;موجک&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;روی&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;گروه&#8204;های&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;آبلی موضعاً فشرده با شبکه&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;یکنواخت&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;تعریف شده است. این تعریف تعمیمی از مجموعه&#8204;های موجک&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;در فضای&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;اقلیدسی است. سپس با استفاده از تبدیل&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;فوریه و تجزیۀ چند ریزه&#8204;ساز این مجموعه&#8204;ها مشخص شده&#8204;اند. در ادامه مجموعه&#8204;های&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;مقیاس&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;تعمیم&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;یافته&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;روی&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;گروه&#8204;های&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;آبلی&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;موضعاً فشرده تعریف و بررسی شده&#8204;اند و ارتباط بین مجموعه&#8204;های مقیاس&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;تعمیم&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;یافته و مجموعه&#8204;های موجک بیان&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;شده است. در پایان با تعریف تابع بعد موجک&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;روی گروه&#8204;های آبلی&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;موضعاً فشرده، مجموعه&#8204;های&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;مقیاس&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;تعمیم&lt;/span&gt;&lt;/span&gt; &lt;span style=&quot;font-family:B Nazanin;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;یافته مشخص شده &amp;nbsp;و رابطۀ آنها با مجموعه&#8204;های موجک بررسی شده است.&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span dir=&quot;LTR&quot;&gt;&lt;span style=&quot;font-family:Times New Roman,serif;&quot;&gt;&lt;span style=&quot;font-size:10.0pt;&quot;&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;</abstract_fa>
	<abstract>&lt;strong&gt;Introduction&lt;/strong&gt;&lt;br&gt;
An orthonormal wavelet is a square-integrable function whose translates and dilates form an orthonormal basis for the Hilbert space &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image002.gif&quot; width=&quot;37&quot; &gt;. That is, given the unitary operators of translation&lt;br&gt;
&lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image004.gif&quot; width=&quot;121&quot; &gt;&amp;nbsp;for &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image006.gif&quot; width=&quot;35&quot; &gt;&amp;nbsp;and dilation &lt;img alt=&quot;&quot; height=&quot;21&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image008.gif&quot; width=&quot;113&quot; &gt;, we call &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image010.gif&quot; width=&quot;65&quot; &gt;&amp;nbsp;an orthonormal wavelet if the set&lt;br&gt;
&lt;img alt=&quot;&quot; height=&quot;27&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image012.gif&quot; width=&quot;300&quot; &gt;is an orthonormal basis for &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image002.gif&quot; width=&quot;37&quot; &gt;. This definition was later generalized to higher dimensions and to allow for other dilation and translation sets; let Hilbert space &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image014.gif&quot; width=&quot;45&quot; &gt;&amp;nbsp;and an &lt;em&gt;n &amp;times; n&lt;/em&gt; expansive matrix A (i.e. a matrix with eigenvalues bigger than 1) with integer entries, then dilation operator &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image016.gif&quot; width=&quot;16&quot; &gt;&amp;nbsp;is given by &lt;img alt=&quot;&quot; height=&quot;23&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image018.gif&quot; width=&quot;132&quot; &gt;&amp;nbsp;and the translation operator &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image020.gif&quot; width=&quot;14&quot; &gt;&amp;nbsp;is given by &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image004.gif&quot; width=&quot;121&quot; &gt;&amp;nbsp;for &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image022.gif&quot; width=&quot;43&quot; &gt;. A finite set &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image024.gif&quot; width=&quot;202&quot; &gt;&amp;nbsp;is called multiwavelet if the set&lt;br&gt;
&lt;img alt=&quot;&quot; height=&quot;23&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image026.gif&quot; width=&quot;216&quot; &gt;&lt;em&gt;,&lt;/em&gt;&lt;br&gt;
is an orthogonal basis for &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image014.gif&quot; width=&quot;45&quot; &gt;.&lt;br&gt;
The concept of a multiresolution analysis, abbreviated as MRA is Central to the theory of wavelets. There is much overlaps between wavelet analysis and Fourier analysis. Indeed, wavelets can be thought of as non-trigonometric Fourier series. Thus, Fourier analysis is used as a tool to investigate properties of wavelets.&lt;br&gt;
Another concept is wavelet set. The term wavelet set was coined by Dai and Larson in&lt;br&gt;
the late 90s to describe a set &lt;em&gt;W &lt;/em&gt;such that &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image028.gif&quot; width=&quot;20&quot; &gt;, the characteristic function of &lt;em&gt;W&lt;/em&gt;, is the Fourier transform of an orthonormal wavelet on &lt;img alt=&quot;&quot; height=&quot;19&quot; src=&quot;file:///C:Users1AppDataLocalTempmsohtmlclip11clip_image002.gif&quot; width=&quot;37&quot; &gt;. At about the same time as the Dai and Larson paper, Fang and Wang first used the term MSF wavelet (minimally supported frequency wavelet) to describe wavelets whose Fourier transforms are supported on sets of the smallest possible measure. The importance of MSF wavelets as a source of examples and counterexamples has continued throughout wavelet history. A famous example due to Journe first showed that not all wavelets have an associated structure multiresolution analysis (MRA). The discovery of a non-MRA wavelet gave an important push to the development of more general structures such as frame multiresolution analyses (FMRAs) and generalized multiresolution analysis(GMRAs). In this paper we generalize wavelets and wavelet sets on locally compact Abelian group &lt;em&gt;G &lt;/em&gt;with uniform lattice.&lt;br&gt;
&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;&lt;br&gt;
&lt;strong&gt;Material and methods&lt;/strong&gt;&lt;br&gt;
In this paper, we investigate wavelet sets on locally compact abelian groups with uniform lattice, where a uniform lattice H in LCA group G is a discrete subgroup of G such that the quotient group G/H is compact.&amp;nbsp; So we review some basic facts from the theory of LCA groups and harmonic analysis. Then we define wavelet sets on these groups and characterize them by using of Fourier transform and multiresolution analysis.&lt;br&gt;
&lt;strong&gt;Results and discussion&lt;/strong&gt;&lt;br&gt;
We extend theory of wavelet sets on locally compact abelian groups with uniform lattice. This is a generalization of wavelet sets on Euclidean space. We characterize wavelet&lt;br&gt;
sets by using of Fourier transform and multiresolution analysis. Also, we define generalized scaling sets and dimension functions on locally compact abelian groups and verify its relations with wavelet sets. Dimension functions for MSF wavelets are described by generalized scaling sets.&lt;br&gt;
In the setting of LCA groups, we define translation congruent and show wavelet sets are translation congruent, so we can define a map on G such that it is measurable, measure preserving and bijection.&lt;br&gt;
&lt;strong&gt;Conclusion&lt;/strong&gt;&lt;br&gt;
The following conclusions were drawn from this research.
&lt;ul&gt;
	&lt;li&gt;Wavelet sets on locally compact groups by uniform lattice can be defined. This is a generalization of wavelet sets on Euclidean space.&lt;/li&gt;
	&lt;li&gt;Characterization of wavelet sets on LCA groups can be done in different ways. A method is to use Fourier transform and translation congruent. Another way is to generaliz scaling set and dimension function.&lt;/li&gt;
	&lt;li&gt;As an example, Cantor dyadic group is a non-trivial example that satisfies in the theory of wavelet sets on locally compact groups by uniform lattice. We find wavelet set and generalized scaling set for this group and show related wavelet is MRA wavelet.&lt;a href=&quot;./files/site1/files/63/7.pdf&quot;&gt;./files/site1/files/63/7.pdf&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</abstract>
	<keyword_fa>موجک, گروه آبلی موضعاً فشرده, مجموعه موجک, تجزیۀ چند ریزه‌ساز, مجموعه‌های مقیاس تعمیم یافته.</keyword_fa>
	<keyword>wavelet, locally compact abelian group, wavelet set, multiresolution analysis, generalized scaling sets.</keyword>
	<start_page>393</start_page>
	<end_page>404</end_page>
	<web_url>http://mmr.khu.ac.ir/browse.php?a_code=A-10-196-1&amp;slc_lang=fa&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mehdi</first_name>
	<middle_name></middle_name>
	<last_name>Rashidi-Kouchi</last_name>
	<suffix></suffix>
	<first_name_fa>مهدی</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>رشیدی کوچی</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>rashidiehdi20@gail.com</email>
	<code>10031947532846004032</code>
	<orcid>10031947532846004032</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa>دانشگاه آزاد اسلامی، واحد کهنوج، گروه ریاضی</affiliation_fa>
	 </author>


</author_list>


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