{"title":"直接定义非线性模糊类热偏微分方程反映射的方法","authors":"C. W. Sahabandu, M. Dewasurendra","doi":"10.4038/cjs.v53i1.8197","DOIUrl":null,"url":null,"abstract":"Natural phenomena or physical systems can be described using Partial Differential Equations (PDEs), such as wave equations, heat equations, Poisson’s equation, and so on. Consequently, investigations of PDEs have become one of the key areas of modern mathematical analyses, attracting a lot of attention. Many authors have recently expressed an interest in researching the theoretical framework of fuzzy Initial Value Problems (IVPs). The Method of Directly Defining the inverse Mapping (MDDiM) was effectively employed in this research to obtain the second-order approximate fuzzy solution of heatlike equations in one and two dimensions, and the results were compared with exact solutions. In each illustrated example, all the results achieved using Maple 16 were graphically depicted. This is the first time MDDiM was utilized to solve nonlinear Fuzzy Partial Differential Equations (FPDEs).","PeriodicalId":9894,"journal":{"name":"Ceylon Journal of Science","volume":"55 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method of directly defining the inverse mapping for nonlinear fuzzy heat-like partial differential equations\",\"authors\":\"C. W. Sahabandu, M. Dewasurendra\",\"doi\":\"10.4038/cjs.v53i1.8197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural phenomena or physical systems can be described using Partial Differential Equations (PDEs), such as wave equations, heat equations, Poisson’s equation, and so on. Consequently, investigations of PDEs have become one of the key areas of modern mathematical analyses, attracting a lot of attention. Many authors have recently expressed an interest in researching the theoretical framework of fuzzy Initial Value Problems (IVPs). The Method of Directly Defining the inverse Mapping (MDDiM) was effectively employed in this research to obtain the second-order approximate fuzzy solution of heatlike equations in one and two dimensions, and the results were compared with exact solutions. In each illustrated example, all the results achieved using Maple 16 were graphically depicted. This is the first time MDDiM was utilized to solve nonlinear Fuzzy Partial Differential Equations (FPDEs).\",\"PeriodicalId\":9894,\"journal\":{\"name\":\"Ceylon Journal of Science\",\"volume\":\"55 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ceylon Journal of Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4038/cjs.v53i1.8197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ceylon Journal of Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4038/cjs.v53i1.8197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
自然现象或物理系统可以用偏微分方程(PDE)来描述,如波方程、热方程、泊松方程等。因此,对偏微分方程的研究已成为现代数学分析的重要领域之一,引起了广泛关注。最近,许多学者都表示有兴趣研究模糊初值问题(IVP)的理论框架。本研究有效地利用了直接定义反映射法(MDDiM),得到了一维和二维类热方程的二阶近似模糊解,并将结果与精确解进行了比较。在每个示例中,使用 Maple 16 得出的所有结果都以图形方式进行了描述。这是首次利用 MDDiM 解决非线性模糊偏微分方程(FPDE)。
Method of directly defining the inverse mapping for nonlinear fuzzy heat-like partial differential equations
Natural phenomena or physical systems can be described using Partial Differential Equations (PDEs), such as wave equations, heat equations, Poisson’s equation, and so on. Consequently, investigations of PDEs have become one of the key areas of modern mathematical analyses, attracting a lot of attention. Many authors have recently expressed an interest in researching the theoretical framework of fuzzy Initial Value Problems (IVPs). The Method of Directly Defining the inverse Mapping (MDDiM) was effectively employed in this research to obtain the second-order approximate fuzzy solution of heatlike equations in one and two dimensions, and the results were compared with exact solutions. In each illustrated example, all the results achieved using Maple 16 were graphically depicted. This is the first time MDDiM was utilized to solve nonlinear Fuzzy Partial Differential Equations (FPDEs).