Journal article 644 views 82 downloads
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes
Journal of Functional Analysis, Volume: 280, Issue: 11, Start page: 108998
Swansea University Author: Feng-yu Wang
-
PDF | Accepted Manuscript
©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)
Download (316.33KB)
DOI (Published version): 10.1016/j.jfa.2021.108998
Abstract
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes
Published in: | Journal of Functional Analysis |
---|---|
ISSN: | 0022-1236 |
Published: |
Elsevier BV
2021
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa56450 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2021-03-23T15:39:24Z |
---|---|
last_indexed |
2023-01-11T14:35:41Z |
id |
cronfa56450 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2022-10-27T12:42:36.6638814</datestamp><bib-version>v2</bib-version><id>56450</id><entry>2021-03-16</entry><title>Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes</title><swanseaauthors><author><sid>6734caa6d9a388bd3bd8eb0a1131d0de</sid><ORCID>0000-0003-0950-1672</ORCID><firstname>Feng-yu</firstname><surname>Wang</surname><name>Feng-yu Wang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-03-16</date><deptcode>SMA</deptcode><abstract/><type>Journal Article</type><journal>Journal of Functional Analysis</journal><volume>280</volume><journalNumber>11</journalNumber><paginationStart>108998</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0022-1236</issnPrint><issnElectronic/><keywords>Conditional empirical measure; Dirichlet diffusion process; Wasserstein distance; Eigenvalues</keywords><publishedDay>1</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-06-01</publishedDate><doi>10.1016/j.jfa.2021.108998</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SMA</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-10-27T12:42:36.6638814</lastEdited><Created>2021-03-16T00:18:10.7210631</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Mathematics</level></path><authors><author><firstname>Feng-yu</firstname><surname>Wang</surname><orcid>0000-0003-0950-1672</orcid><order>1</order></author></authors><documents><document><filename>56450__19488__bcd71e01ec4347a18acd9ca3e7ddc461.pdf</filename><originalFilename>20a.pdf</originalFilename><uploaded>2021-03-16T00:21:10.9951657</uploaded><type>Output</type><contentLength>323921</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2022-03-16T00:00:00.0000000</embargoDate><documentNotes>©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2022-10-27T12:42:36.6638814 v2 56450 2021-03-16 Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes 6734caa6d9a388bd3bd8eb0a1131d0de 0000-0003-0950-1672 Feng-yu Wang Feng-yu Wang true false 2021-03-16 SMA Journal Article Journal of Functional Analysis 280 11 108998 Elsevier BV 0022-1236 Conditional empirical measure; Dirichlet diffusion process; Wasserstein distance; Eigenvalues 1 6 2021 2021-06-01 10.1016/j.jfa.2021.108998 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University 2022-10-27T12:42:36.6638814 2021-03-16T00:18:10.7210631 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Feng-yu Wang 0000-0003-0950-1672 1 56450__19488__bcd71e01ec4347a18acd9ca3e7ddc461.pdf 20a.pdf 2021-03-16T00:21:10.9951657 Output 323921 application/pdf Accepted Manuscript true 2022-03-16T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
spellingShingle |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes Feng-yu Wang |
title_short |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
title_full |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
title_fullStr |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
title_full_unstemmed |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
title_sort |
Precise limit in Wasserstein distance for conditional empirical measures of Dirichlet diffusion processes |
author_id_str_mv |
6734caa6d9a388bd3bd8eb0a1131d0de |
author_id_fullname_str_mv |
6734caa6d9a388bd3bd8eb0a1131d0de_***_Feng-yu Wang |
author |
Feng-yu Wang |
author2 |
Feng-yu Wang |
format |
Journal article |
container_title |
Journal of Functional Analysis |
container_volume |
280 |
container_issue |
11 |
container_start_page |
108998 |
publishDate |
2021 |
institution |
Swansea University |
issn |
0022-1236 |
doi_str_mv |
10.1016/j.jfa.2021.108998 |
publisher |
Elsevier BV |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics |
document_store_str |
1 |
active_str |
0 |
published_date |
2021-06-01T04:11:25Z |
_version_ |
1763753785297993728 |
score |
11.037144 |