2+1-维变系数广义Kadomtsev-Petviashvili方程的相似约化

借助于ＭＡＴＨＥＭＡＴＩＣＡ软件，将直接约化法推广并应用到２＋１－维变系数广义Ｋａｄｏｍｔｓｅｖ－Ｐｅｔｖｉａｓｈｖｉｌｉ（ＶＣＧＫＰ）方程，获得了ＶＣＧＫＰ方程的若干相似约化，其中包括ＰａｉｎｌｅｖｅⅠ型、ＰａｉｎｌｅｖｅⅡ型和ＰａｉｎｌｅｖｅⅣ型约化。     

(2+2)维非线性微分-差分mToda方程的内禀对称,相似约化和精确解

把内禀对称群分析方法推广应用于（2＋2）维非线性微分-差分mToda方程.通过得到的对称,解相应的特征方程,对该方程进行了相似约化.最后通过反变换,构造了几类精确解。     

（3＋1）维Boussinesq方程的对称、约化及精确解

利用直接约化方法得到了（3＋1）维Boussinesq方程的对称,约化了方程,并求出其精确解.所得结果推广了已有文献中关于此方程的有关结果.     

一类非线性发展方程的精确孤波解

本文首先求出了非线性常微分方程ｕ″（ξ）＋ｍｕ２（ξ）＋ｎｕ３（ξ）＋ｐｕ（ξ）＝ｃ（Ⅰ）和ｕ″（ξ）＋ｒｕ′（ξ）＋ｍｕ２（ξ）＋ｎｕ３（ξ）＋ｐｕ（ξ）＝ｃ（Ⅱ）的显式精确解．进而求出了组合ＢＢＭ方程、Ｂｕｒｇｅｒｓ方程与组合ＢＢＭ方程混合型的钟状孤波解和扭状孤波解，同时还求出了广义Ｂｏｕｓｓｉｎｅｓｑ方程和广义ＫＰ方程的钟状和扭状孤波解．文中指出了其行波解可化为（Ⅰ）的发展方程既有钟状又有扭状孤波解，而其行波解可化为（Ⅱ）的发展方程没有钟状孤波解．     

关于一类一阶非线性常微分方程解空间的显易结构

文章以定理１．１为基础,引入标准可积方程的概念,进而根据已知方程ｗ′＝∑sum from ｉ＝０ to n ａ_ｉ（ｚ）ｗ^ｉ（ｚ）的ｎ＋１个系数,给出了该方程解空间具有显易结构的判别准则．一方面,根据该准则,可以对该类非线性常微分方程解空间结构作出显易结构的判定,从而可以对其解空间进行定性解析分析;另一方面,该准则可以作为判定该类非线性常微分方程在复域上能否变量分离之准则     

解高维广义对称正则长波方程的Fourier谱方法

１引言对称正则长波方程（ＳＲＬＷＥ）是正则化长波方程（ＲＬＷＥ）的一种对称叙述［１］用于描述弱非线性作用下空间变换的离子声波传播．［１］得到了方程组（１．１）的双曲正割平方孤立波解、四个不变量和数值结果、明显地,从（１．１）中消去ρ,得到一类正则长波方程（ＲＬＷＥ）代替（１．２）中第三项、第四项对ｔ的导数为对ｘ的导数,得到Ｂｏｕｓｓｉｎｅｓｑ方程．［２］对一类广义对称正则长波方程组提出了谱方法,证明了古典光滑解的存在性和唯一性,建立了近似解的收敛性和误差估计。［３］研究了高维对称正则长波方程整体…     

非线性波动与社会传播混合型方程的整体紧吸引子

本文研究非一波动与神经传播混合型方程ｕｔｔ＝ｕｘｘｔ＋σ（ｕｘ）ｘ－ｈ（ｕ）ｕｔ－ｆ（ｕ）＋ｇ（ｘ）初边值问题的整体吸引子，在σ∈Ｃ＾２，σ（ｓ）〉σ０〉０及ｈ（ｓ）∈Ｃ＾１，－Ｃｏ〈ｈ（ｓ）（０〈Ｃｏ〈λ１／２）且∫ｏ＾ｕｈ（ｓ）ｓｄｓ〈Ｃｕ＾２条件下我们得到了与该方程相应的动力系统整体紧吸引子的存在性，并证明了它具有有限的Ｈａｕｓｄｏｒｆｆｘ维数和ｆｒａｃｔａｌ维数。     

Burgers与组合KdV混合型方程的精确解

该文求出了组合ＫｄＶ方程的渐近值不为零的钟状孤波解和扭状孤波解；求出了Ｂｕｒｇｅｒｓ与组合ＫｄＶ混合型方程ｕｔ＋ａｕｕｘ＋ｂｕ２ｕｘ＋ｒｕ（ｘｘ）＋ｕ（ｘｘｘ）＝０的二类扭状孤波解．作为推论，还求出了波方程ｕ（ｔｔ）－ｋｕ（ｘｘ）＋ｐｕ十ｑｕ２＋ｓｕ３＝０的钟状和扭状孤波解．     

(2+1)维广义Burgers 方程的Lie点对称, 相似约化和精确解

讨论了(2+1)维广义Burgers方程.通过Lie群方法求出了该方程的李点对称,并利用李点对称将方程进行相似约化,求出了(2+1)维广义Burgers方程的几种精确解.该方法可以用于研究更高阶的偏微分方程.     

用方程“asinx bcosx=c”有解的条件解题

三角方程ａｓｉｎｘ＋ｂｃｏｓｘ＝ｃ有解的充要条件是ａ２＋ｂ２≥ｃ２．事实上,原方程可化成ｓｉｎｘａａ２＋ｂ２＋ｃｏｓｘｂａ２＋ｂ２＝ｃａ２＋ｂ２,即　ｓｉｎ（ｘ＋θ）＝ｃａ２＋ｂ２（其中ｔｇθ＝ｂａ）．由于｜ｓｉｎ（ｘ＋θ）｜≤１　知ｃａ２＋ｂ２≤１,即得ａ２＋ｂ２≥ｃ２．显见其逆亦真．利用此结论有时可简捷地解答一些类型的问题．例１　若关于ｘ的方程３＋２ｓｉｎｘ＋ｃｏｓｘ１＋２ｓｉｎｘ＋３ｃｏｓｘ＝ｋ恒有实数解,求实数ｋ的取值范围．解　原方程可整理成（３ｋ－１）ｃｏｓｘ＋（２ｋ－２）ｓｉｎｘ＝３…     

两个非线性发展方程精确解析解的研究

对齐次平衡法进行了改进并将其应用于两个非线性发展方程中,通过一些新的假设,获得了若干精确解析解,这些解包含王和张的结论及其它新类型的解析解,如果理分式解和周期解,这种方法也可以应用于求解更多的非线性偏微分方程。     

The explicit series solution of SIR and SIS epidemic models

In this paper the SIR and SIS epidemic models in biology are solved by means of an analytic technique for nonlinear problems, namely the homotopy analysis method (HAM). Both of the SIR and SIS models are described by coupled nonlinear differential equations. A one-parameter family of explicit series solutions are obtained for both models. This parameter has no physical meaning but provides us with a simple way to ensure convergent series solutions to the epidemic models. Our analytic results agree well with the numerical ones. This analytic approach is general and can be applied to get convergent series solutions of some other coupled nonlinear differential equations in biology.     

Oblique derivative problems for second order nonlinear equations of mixed type with degenerate hyperbolic curve

The present paper deals with oblique derivative problems for second order nonlinear equations of mixed type with degenerate hyperbolic curve, which include the Tricomi problem as a special case. Firstly the formulation of the problems for the equations is given, next the representation and estimates of solutions for the above problems are obtained, finally the existence of solutions for the problems is proved by the successive iteration of solutions of the equations and the fixed-point principle. In this paper, we use the complex analytic method, namely the new partial derivative notations, elliptic complex functions in the elliptic domain and hyperbolic complex functions in the hyperbolic domain are introduced, such that the second order equations of mixed type with degenerate curve are reduced to the first order mixed complex equations with singular coefficients, and then the advantage of complex analytic method can be applied.     

Numerical approach to differential equations of fractional order

In this paper, the variational iteration method and the Adomian decomposition method are implemented to give approximate solutions for linear and nonlinear systems of differential equations of fractional order. The two methods in applied mathematics can be used as alternative methods for obtaining analytic and approximate solutions for different types of differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. This paper presents a numerical comparison between the two methods for solving systems of fractional differential equations. Numerical results show that the two approaches are easy to implement and accurate when applied to differential equations of fractional order.     

New exact solutions for seventh‐order Sawada–Kotera–Ito,Lax and Kaup–Kupershmidt equations using Exp‐function method

In this work, Exp‐function method is used to solve three different seventh‐order nonlinear partial differential KdV equations. Sawada–Kotera–Ito, Lax and Kaup–Kupershmidt equations are well known and considered for solve. Exp‐function method can be used as an alternative to obtain analytic and approximate solutions of different types of differential equations applied in engineering mathematics. Ultimately this method is implemented to solve these equations and convenient and effective solutions are obtained. Copyright © 2009 John Wiley & Sons, Ltd.     

Solitary wave solutions for a time-fraction generalized Hirota–Satsuma coupled KdV equation by an analytical technique

In this work, we implement a relatively analytical technique, the homotopy perturbation method (HPM), for solving nonlinear partial differential equations of fractional order. The fractional derivatives are described in Caputo derivatives. This method can be used as an alternative to obtain analytic and approximate solutions of different types of fractional differential equations which applied in engineering mathematics. The corresponding solutions of the integer order equations are found to follow as special cases of those of fractional order equations. He’s homotopy perturbation method (HPM) which does not need small parameter is implemented for solving the differential equations. It is predicted that HPM can be found widely applicable in engineering.     

Numerical methods for nonlinear partial differential equations of fractional order

In this article, we implement relatively new analytical techniques, the variational iteration method and the Adomian decomposition method, for solving nonlinear partial differential equations of fractional order. The fractional derivatives are described in the Caputo sense. The two methods in applied mathematics can be used as alternative methods for obtaining analytic and approximate solutions for different types of fractional differential equations. In these schemes, the solution takes the form of a convergent series with easily computable components. Numerical results show that the two approaches are easy to implement and accurate when applied to partial differential equations of fractional order.     

A general approach to get series solution of non-similarity boundary-layer flows

An analytic method for strongly non-linear problems, namely the homotopy analysis method (HAM), is applied to give convergent series solution of non-similarity boundary-layer flows. As an example, the non-similarity boundary-layer flows over a stretching flat sheet are used to show the validity of this general analytic approach. Without any assumptions of small/large quantities, the corresponding non-linear partial differential equation with variable coefficients is transferred into an infinite number of linear ordinary differential equations with constant coefficients. More importantly, an auxiliary artificial parameter is used to ensure the convergence of the series solution. Different from previous analytic results, our series solutions are convergent and valid for all physical variables in the whole domain of flows. This work illustrates that, by means of the homotopy analysis method, the non-similarity boundary-layer flows can be solved in a similar way like similarity boundary-layer flows. Mathematically, this analytic approach is rather general in principle and can be applied to solve different types of non-linear partial differential equations with variable coefficients in science and engineering.     

An analytical solution for a nonlinear time-delay model in biology

In this paper, the homotopy analysis method is applied to develop a analytic approach for nonlinear differential equations with time-delay. A nonlinear model in biology is used as an example to show the basic ideas of this analytic approach. Different from other analytic techniques, the homotopy analysis method provides a simple way to ensure the convergence of the solution series, so that one can always get accurate approximations. A new discontinuous function is defined so as to express the piecewise continuous solutions of time-delay differential equations in a way convenient for symbolic computations. It is found that the time-delay has a great influence on the solution of the time-delay nonlinear differential equation. This approach has general meanings and can be applied to solve other nonlinear problems with time-delay.     

A comparison of the String Gradient Weighted Moving Finite Element method and a Parabolic Moving Mesh Partial Differential Equation method for solutions of partial differential equations

We compare numerical experiments from the String Gradient Weighted Moving Finite Element method and a Parabolic Moving Mesh Partial Differential Equation method, applied to three benchmark problems based on two different partial differential equations. Both methods are described in detail and we highlight some strengths and weaknesses of each method via the numerical comparisons. The two equations used in the benchmark problems are the viscous Burgers’ equation and the porous medium equation, both in one dimension. Simulations are made for the two methods for: a) a travelling wave solution for the viscous Burgers’ equation, b) the Barenblatt selfsimilar analytical solution of the porous medium equation, and c) a waiting-time solution for the porous medium equation. Simulations are carried out for varying mesh sizes, and the numerical solutions are compared by computing errors in two ways. In the case of an analytic solution being available, the errors in the numerical solutions are computed directly from the analytic solution. In the case of no availability of an analytic solution, an approximation to the error is computed using a very fine mesh numerical solution as the reference solution.