Approximate solutions of nonlinear PDEs by the invariant expansion  

Approximate solutions of nonlinear PDEs by the invariant expansion

在线阅读下载全文

作  者:吴江龙 楼森岳 

机构地区:[1]Faculty of Science,Ningbo University [2]Center of Nonlinear Science,Ningbo University

出  处:《Chinese Physics B》2012年第12期31-36,共6页中国物理B(英文版)

基  金:Project supported by the National Natural Science Foundation of China(Grant No.11175092);Scientific Research Fund of Zhejiang Provincial Education Department(Grant No.Y201017148);K.C.Wong Magna Fund in Ningbo University

摘  要:It is difficult to obtain exact solutions of the nonlinear partial differential equations (PDEs) due to their complexity and nonlinearity, especially for non-integrable systems. In this paper, some reasonable approximations of real physics are considered, and the invariant expansion is proposed to solve real nonlinear systems. A simple invariant expansion with quite a universal pseudopotential is used for some nonlinear PDEs such as the Korteweg-de Vries (KdV) equation with a fifth-order dispersion term, the perturbed fourth-order KdV equation, the KdV-Burgers equation, and a Boussinesq-type equation.It is difficult to obtain exact solutions of the nonlinear partial differential equations (PDEs) due to their complexity and nonlinearity, especially for non-integrable systems. In this paper, some reasonable approximations of real physics are considered, and the invariant expansion is proposed to solve real nonlinear systems. A simple invariant expansion with quite a universal pseudopotential is used for some nonlinear PDEs such as the Korteweg-de Vries (KdV) equation with a fifth-order dispersion term, the perturbed fourth-order KdV equation, the KdV-Burgers equation, and a Boussinesq-type equation.

关 键 词:approximate solution invariant expansion Mobious transformation invariance 

分 类 号:O175.29[理学—数学] O353.2[理学—基础数学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象