用自然分解法和拉普拉斯分解法近似求解Painlevé方程I

IF 1 Q4 ENGINEERING, MECHANICAL Acta Mechanica et Automatica Pub Date : 2023-07-15 DOI:10.2478/ama-2023-0048
Muhammad Amir, J. A. Haider, Shahbaz Ahmad, Sana Gul, Asifa Ashraf
{"title":"用自然分解法和拉普拉斯分解法近似求解Painlevé方程I","authors":"Muhammad Amir, J. A. Haider, Shahbaz Ahmad, Sana Gul, Asifa Ashraf","doi":"10.2478/ama-2023-0048","DOIUrl":null,"url":null,"abstract":"Abstract The Painlevé equations and their solutions occur in some areas of theoretical physics, pure and applied mathematics. This paper applies natural decomposition method (NDM) and Laplace decomposition method (LDM) to solve the second-order Painlevé equation. These methods are based on the Adomain polynomial to find the non-linear term in the differential equation. The approximate solution of Painlevé equations is determined in the series form, and recursive relation is used to calculate the remaining components. The results are compared with the existing numerical solutions in the literature to demonstrate the efficiency and validity of the proposed methods. Using these methods, we can properly handle a class of non-linear partial differential equations (NLPDEs) simply. Novelty One of the key novelties of the Painlevé equations is their remarkable property of having only movable singularities, which means that their solutions do not have any singularities that are fixed in position. This property makes the Painlevé equations particularly useful in the study of non-linear systems, as it allows for the construction of exact solutions in certain cases. Another important feature of the Painlevé equations is their appearance in diverse fields such as statistical mechanics, random matrix theory and soliton theory. This has led to a wide range of applications, including the study of random processes, the dynamics of fluids and the behaviour of non-linear waves.","PeriodicalId":44942,"journal":{"name":"Acta Mechanica et Automatica","volume":"17 1","pages":"417 - 422"},"PeriodicalIF":1.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Approximate Solution of Painlevé Equation I by Natural Decomposition Method and Laplace Decomposition Method\",\"authors\":\"Muhammad Amir, J. A. Haider, Shahbaz Ahmad, Sana Gul, Asifa Ashraf\",\"doi\":\"10.2478/ama-2023-0048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The Painlevé equations and their solutions occur in some areas of theoretical physics, pure and applied mathematics. This paper applies natural decomposition method (NDM) and Laplace decomposition method (LDM) to solve the second-order Painlevé equation. These methods are based on the Adomain polynomial to find the non-linear term in the differential equation. The approximate solution of Painlevé equations is determined in the series form, and recursive relation is used to calculate the remaining components. The results are compared with the existing numerical solutions in the literature to demonstrate the efficiency and validity of the proposed methods. Using these methods, we can properly handle a class of non-linear partial differential equations (NLPDEs) simply. Novelty One of the key novelties of the Painlevé equations is their remarkable property of having only movable singularities, which means that their solutions do not have any singularities that are fixed in position. This property makes the Painlevé equations particularly useful in the study of non-linear systems, as it allows for the construction of exact solutions in certain cases. Another important feature of the Painlevé equations is their appearance in diverse fields such as statistical mechanics, random matrix theory and soliton theory. This has led to a wide range of applications, including the study of random processes, the dynamics of fluids and the behaviour of non-linear waves.\",\"PeriodicalId\":44942,\"journal\":{\"name\":\"Acta Mechanica et Automatica\",\"volume\":\"17 1\",\"pages\":\"417 - 422\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Mechanica et Automatica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ama-2023-0048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Mechanica et Automatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ama-2023-0048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 1

摘要

Painlevé方程及其解出现在理论物理学、纯数学和应用数学的某些领域。本文应用自然分解法(NDM)和拉普拉斯分解法(LDM)求解二阶Painlevé方程。这些方法是基于Adomain多项式来寻找微分方程中的非线性项。Painlevé方程的近似解以级数形式确定,并使用递归关系来计算剩余分量。将结果与文献中现有的数值解进行比较,以证明所提出方法的有效性和有效性。使用这些方法,我们可以简单地处理一类非线性偏微分方程。新颖性Painlevé方程的一个关键新颖性是它们只有可移动奇点的显著性质,这意味着它们的解没有任何固定的奇点。这一性质使得Painlevé方程在研究非线性系统时特别有用,因为它允许在某些情况下构造精确解。Painlevé方程的另一个重要特征是它们出现在统计力学、随机矩阵理论和孤子理论等不同领域。这导致了广泛的应用,包括研究随机过程、流体动力学和非线性波的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Approximate Solution of Painlevé Equation I by Natural Decomposition Method and Laplace Decomposition Method
Abstract The Painlevé equations and their solutions occur in some areas of theoretical physics, pure and applied mathematics. This paper applies natural decomposition method (NDM) and Laplace decomposition method (LDM) to solve the second-order Painlevé equation. These methods are based on the Adomain polynomial to find the non-linear term in the differential equation. The approximate solution of Painlevé equations is determined in the series form, and recursive relation is used to calculate the remaining components. The results are compared with the existing numerical solutions in the literature to demonstrate the efficiency and validity of the proposed methods. Using these methods, we can properly handle a class of non-linear partial differential equations (NLPDEs) simply. Novelty One of the key novelties of the Painlevé equations is their remarkable property of having only movable singularities, which means that their solutions do not have any singularities that are fixed in position. This property makes the Painlevé equations particularly useful in the study of non-linear systems, as it allows for the construction of exact solutions in certain cases. Another important feature of the Painlevé equations is their appearance in diverse fields such as statistical mechanics, random matrix theory and soliton theory. This has led to a wide range of applications, including the study of random processes, the dynamics of fluids and the behaviour of non-linear waves.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Acta Mechanica et Automatica
Acta Mechanica et Automatica ENGINEERING, MECHANICAL-
CiteScore
1.40
自引率
0.00%
发文量
45
审稿时长
30 weeks
期刊最新文献
The CO2 Capture System with a Swing Temperature Moving Bed Machining of TiAl6V4 Using Lubricants Containing Renewable Microalgae-Born Performance Additives Fuzzy Based Supervision Approach in the Event of Rotational Speed Inversion in an Induction Motor Thermal and Visualisation Study of the HFE7100 Refrigerant Condensation Process Fatigue Behaviour of Medium Carbon Steel Assessed by the Barkhausen Noise Method
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1