Algebraic method of linearization of the fully nonlinear second order PDEs

IF 3.8 2区 数学 Q1 MATHEMATICS, APPLIED
I.M. Tsyfra , T. Czyżycki
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引用次数: 0

Abstract

In this paper the group theoretical methods have been applied to study linearization and integrability of the fully nonlinear second order partial differential equations (PDEs) with two and three independent variables. The procedure of using Lie symmetry groups for formulating sufficient conditions of linearization of studied equations is described and also explicit algorithms for constructing their exact solutions are demonstrated. Two specific five-dimensional Lie algebras sufficient in determining the nonsingular change of variables which represents an invertible linearization mapping for fully nonlinear PDEs are studied. The criteria for linearization are formulated in a pure algebraic way based on the dimension and structure of the symmetry Lie algebra of the studied equation. It is well known that linear and integrable PDEs admit infinite-dimensional Lie algebra of symmetry, nevertheless in presented results it is shown that only five-dimensional Lie algebra provides linearization of PDEs. Algebraic methods have the advantage of being applicable to arbitrary equation including fully nonlinear PDE and they yield results like linearization of PDEs as well as construction of broad classes of explicit solutions depending on arbitrary functions which cannot be obtained by other approaches.
全非线性二阶偏微分方程线性化的代数方法
本文应用群理论方法研究了两自变量和三自变量完全非线性二阶偏微分方程的线性化和可积性。描述了利用李对称群来表述所研究方程线性化的充分条件的过程,并给出了构造其精确解的显式算法。研究了完全非线性偏微分方程的可逆线性化映射的两个足以确定变量非奇异变化的特定五维李代数。根据所研究方程的对称李代数的维数和结构,用纯代数的方法给出了线性化的判据。众所周知,线性和可积偏微分方程支持无限维对称李代数,然而在本文的结果中,只有五维李代数才能提供偏微分方程的线性化。代数方法具有适用于任意方程(包括完全非线性偏微分方程)的优点,它们可以得到偏微分方程的线性化以及依赖于任意函数的广泛类别的显式解的构造,这是其他方法无法获得的。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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