Non-invertible mappings of linear PDEs to nonlinear PDEs through the symmetry-based method

IF 1.2 3区 数学 Q1 MATHEMATICS
Subhankar Sil , George Bluman
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引用次数: 0

Abstract

We show that the well-known Hopf–Cole transformation mapping the linear heat equation to the nonlinear Burgers' equation naturally extends to the mapping of any linear PDE to a non-invertibly equivalent nonlinear PDE. This mapping is obtained through the symmetry-based method by using the admitted obvious scaling symmetry in the dependent variable of any linear homogeneous PDE. Furthermore, each nontrivial point symmetry of any linear PDE yields a corresponding nonlocally related nonlinear PDE. The mapping relating the linear PDE and the corresponding nonlinear PDE is not one-to-one. As examples we consider the linear heat equation, the linear wave equation, Laplace's equation and the Helmholtz equation in two or more independent variables. We exhibit some exact solutions of the corresponding nonlinear system of PDEs from a known solution of the associated linear PDE. Moreover, we find nonlocal symmetries for the corresponding nonlocally related nonlinear systems of PDEs through the commutator relationship between point symmetries of the associated linear PDE.
基于对称性的线性偏微分方程到非线性偏微分方程的不可逆映射
我们证明了将线性热方程映射到非线性Burgers方程的著名的Hopf-Cole变换自然地扩展到任何线性PDE到非可逆等效非线性PDE的映射。利用线性齐次偏微分方程的因变量具有明显的标度对称性,通过基于对称性的方法得到了该映射。此外,任何线性偏微分方程的每一个非平凡点对称性都可以得到一个相应的非局部相关非线性偏微分方程。线性偏微分方程与相应的非线性偏微分方程之间的映射不是一一对应的。作为例子,我们考虑两个或多个自变量的线性热方程、线性波动方程、拉普拉斯方程和亥姆霍兹方程。从相关线性偏微分方程的已知解出发,给出了相应非线性偏微分方程的精确解。此外,通过相关线性偏微分方程的点对称性之间的换位子关系,我们找到了相应的非局部相关非线性偏微分方程系统的非局部对称性。
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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