No Cover Image

Journal article 278 views

Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications

Xing Huang, Yongqiang Suo, Chenggui Yuan Orcid Logo

Numerical Algorithms

Swansea University Author: Chenggui Yuan Orcid Logo

Full text not available from this repository: check for access using links below.

Abstract

In this paper, the discrete parametrix method is adopted to investigate the estimation of transition kernel for Euler-Maruyama scheme SDEs driven by α-stable noise, which implies Krylov’s estimate and Khasminskii’s estimate. As an application, the convergence rate of Euler-Maruyama scheme for a clas...

Full description

Published in: Numerical Algorithms
ISSN: 1017-1398 1572-9265
Published: Springer Science and Business Media LLC
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63548
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-05-30T09:15:58Z
last_indexed 2023-05-30T09:15:58Z
id cronfa63548
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>63548</id><entry>2023-05-30</entry><title>Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications</title><swanseaauthors><author><sid>22b571d1cba717a58e526805bd9abea0</sid><ORCID>0000-0003-0486-5450</ORCID><firstname>Chenggui</firstname><surname>Yuan</surname><name>Chenggui Yuan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-05-30</date><deptcode>SMA</deptcode><abstract>In this paper, the discrete parametrix method is adopted to investigate the estimation of transition kernel for Euler-Maruyama scheme SDEs driven by α-stable noise, which implies Krylov’s estimate and Khasminskii’s estimate. As an application, the convergence rate of Euler-Maruyama scheme for a class of multidimensional SDEs with singular drift (by the use of Zvonkin’s transformation) is obtained.</abstract><type>Journal Article</type><journal>Numerical Algorithms</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1017-1398</issnPrint><issnElectronic>1572-9265</issnElectronic><keywords>Zvonkin’s transformation, Euler-Maruyama scheme, Transition kernel, Krylov’s estimate</keywords><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>10.1007/s11075-023-01539-4</doi><url>http://dx.doi.org/10.1007/s11075-023-01539-4</url><notes/><college>COLLEGE NANME</college><department>Mathematics</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SMA</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-09-21T15:31:45.9922417</lastEdited><Created>2023-05-30T10:12:58.1726916</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>Xing</firstname><surname>Huang</surname><order>1</order></author><author><firstname>Yongqiang</firstname><surname>Suo</surname><order>2</order></author><author><firstname>Chenggui</firstname><surname>Yuan</surname><orcid>0000-0003-0486-5450</orcid><order>3</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2023-05-30T14:27:24.6673729</uploaded><type>Output</type><contentLength>370928</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2024-05-13T00:00:00.0000000</embargoDate><copyrightCorrect>false</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling v2 63548 2023-05-30 Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications 22b571d1cba717a58e526805bd9abea0 0000-0003-0486-5450 Chenggui Yuan Chenggui Yuan true false 2023-05-30 SMA In this paper, the discrete parametrix method is adopted to investigate the estimation of transition kernel for Euler-Maruyama scheme SDEs driven by α-stable noise, which implies Krylov’s estimate and Khasminskii’s estimate. As an application, the convergence rate of Euler-Maruyama scheme for a class of multidimensional SDEs with singular drift (by the use of Zvonkin’s transformation) is obtained. Journal Article Numerical Algorithms Springer Science and Business Media LLC 1017-1398 1572-9265 Zvonkin’s transformation, Euler-Maruyama scheme, Transition kernel, Krylov’s estimate 0 0 0 0001-01-01 10.1007/s11075-023-01539-4 http://dx.doi.org/10.1007/s11075-023-01539-4 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University 2023-09-21T15:31:45.9922417 2023-05-30T10:12:58.1726916 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Xing Huang 1 Yongqiang Suo 2 Chenggui Yuan 0000-0003-0486-5450 3 Under embargo Under embargo 2023-05-30T14:27:24.6673729 Output 370928 application/pdf Accepted Manuscript true 2024-05-13T00:00:00.0000000 false eng
title Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
spellingShingle Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
Chenggui Yuan
title_short Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
title_full Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
title_fullStr Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
title_full_unstemmed Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
title_sort Estimate of transition kernel for Euler-Maruyama scheme for SDEs driven by alpha-stable noise and applications
author_id_str_mv 22b571d1cba717a58e526805bd9abea0
author_id_fullname_str_mv 22b571d1cba717a58e526805bd9abea0_***_Chenggui Yuan
author Chenggui Yuan
author2 Xing Huang
Yongqiang Suo
Chenggui Yuan
format Journal article
container_title Numerical Algorithms
institution Swansea University
issn 1017-1398
1572-9265
doi_str_mv 10.1007/s11075-023-01539-4
publisher Springer Science and Business Media LLC
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
url http://dx.doi.org/10.1007/s11075-023-01539-4
document_store_str 0
active_str 0
description In this paper, the discrete parametrix method is adopted to investigate the estimation of transition kernel for Euler-Maruyama scheme SDEs driven by α-stable noise, which implies Krylov’s estimate and Khasminskii’s estimate. As an application, the convergence rate of Euler-Maruyama scheme for a class of multidimensional SDEs with singular drift (by the use of Zvonkin’s transformation) is obtained.
published_date 0001-01-01T15:31:44Z
_version_ 1777657922543681536
score 11.01753