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波动方程的相平面分析与数值模拟(英文版)

波动方程的相平面分析与数值模拟(英文版)

出版社:科学出版社出版时间:2022-09-01
开本: B5 页数: 220
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波动方程的相平面分析与数值模拟(英文版) 版权信息

  • ISBN:9787030730466
  • 条形码:9787030730466 ; 978-7-03-073046-6
  • 装帧:一般胶版纸
  • 册数:暂无
  • 重量:暂无
  • 所属分类:>

波动方程的相平面分析与数值模拟(英文版) 内容简介

本书是一本用英文写成的数学类教材,是作者们基于多年的科研和全英课教学编写而成的。全书分为10章,前3章是预备知识和方法,这3章包含了某些数学软件程序、某些函数和积分公式以及平面系统的相图等内容。后7章是针对7个有名方程所描述的某些非线性波进行数值模拟和推导表达式,这7章包含KdV方程的行波、mKdVI方程的孤立波和周期波、mKdVII方程的扭波与周期波、Gardner方程的三角周期波及其极限,Cammssa-Holm方程的孤立波与周期尖波,特殊广义b-方程的反孤立波分支,广义Cammssa-Holm方程的孤立尖波分支。本书力求由浅入深、数值模拟与理论推导相结合、图文并茂、直观、通俗、易懂,可作为高等院校数学类、物理类、力学类等专业的本科高年级学生或研究生的微分方程后续课程教材,也可作为对微分方程的相平面分析和数值模拟感兴趣的朋友的自学读本。

波动方程的相平面分析与数值模拟(英文版) 目录

Contents
Chapter 1 Some Codes of the Software Mathematica 1
Exercise 15
Chapter 2 Some Functions and Integral Formulas 17
2.1 Hyperbolic Functions 17
2.2 Elliptic Sine and Cosine Functions 18
2.3 Some Integral Formulas 21
Exercise 24
Chapter 3 Phase Portraits of Planar Systems 25
3.1 Standard Forms of Linear Systems 25
3.2 Classification of Singular Points for Linear Systems 28
3.3 Phase Portraits and Their Simulation for Some Linear Systems 32
3.4 Properties of Singular Points of Nonlinear Systems with Nonzero
Eigenvalues 40
3.5 The Standard Forms of Nonlinear Systems with Zero Eigenvalues 50
3.6 Properties of Singular Points of Systems with Zero Eigenvalues 52
Exercise 55
Chapter 4 The Traveling Wave of KdV Equation 56
4.1 The Phase Portrait of System (4.7) 56
4.2 The Solitary Wave Solution 61
4.3 Elliptic Sine Smooth Wave Solution 64
4.4 Limit of Elliptic Sine Smooth Wave Solution 67
4.5 Hyperbolic Blow-up Wave Solution 68
4.6 Trigonometric Blow-up Wave Solution 70
4.7 Elliptic Sine Blow-up Wave Solution 71
4.8 Elliptic Cosine Blow-up Wave Solution 74
4.9 Fractional Blow-up Wave Solution 77
Exercise 80
Chapter 5 The Solitary Wave and Periodic Wave of mKdVI Equation 82
5.1 Phase Portrait of System (5.7) 82
5.2 Hyperbolic Solitary Wave Solution 86
5.3 Elliptic Sine Smooth Wave Solution and Their Limits 89
5.4 Elliptic Cosine Smooth Wave Solution and Their Limits 93
5.5 Trigonometric Smooth Periodic Wave Solution 97
5.6 Fractional Solitary Wave Solution 101
Exercise 103
Chapter 6 The Kink Wave and Periodic Wave of mKdVII Equation 104
6.1 Phase Portrait of System (6.7) 105
6.2 Kink Wave Solution 110
6.3 Smooth Periodic Wave Solution 113
6.4 Elliptic Cosine Blow-up Wave Solution and Their Limits 115
6.5 Elliptic Sine Blow-up Wave Solution 116
Exercise 118
Chapter 7 The Trigonometric Smooth Periodic Wave Solutions and Their Limits of Gardner Equation 120
7.1 Singular Points and Their Properties 120
7.2 Bifurcations Lines 121
7.3 The Roots of H(φ, 0) = hi 122
7.4 Bifurcation Phase Portraits 123
7.5 The Expressions of Trigonometric Smooth Periodic Wave Solutions and Their Limits 125
7.6 The Derivations for the Expressions of the Trigonometric Periodic Wave Solutions and Their Limit Forms 127
Exercise 135
Chapter 8 The Peakon and Periodic Cusp Wave of Camassa-Holm Equation 137
8.1 The Traveling Wave System and Its Accompany System 137
8.2 The Distributions of Singular Points for System (8.10) 139
8.3 The Properties of the Singular Points for System (8.10) 140
8.4 The Values of H(φ, y) at the Singular Points and the Graphs of H(φ, y) = h 145
8.5 The Single-Soliton and Peakon of Eq.(8.1) 151
8.6 The Peakon Solution 155
8.7 The Periodic Cusp Wave 159
Exercise 163
Chapter 9 The Double Bifurcation of Anti-Solitary Waves in the Special Genralized b-Equation 165
9.1 The Traveling Wave System and Its Accompany System 165
9.2 The First Integration of Systems (9.14) and (9.18) 167
9.3 The Distributions of Singular Points of System (9.18) 168
9.4 The Properties of the Singular Points System (9.18) 171
9.5 The Bifurcation Phase Portraits of System (9.18) 177
9.6 The Bifurcation of the Anti-Solitary Waves of Eq.(9.1) 177
9.7 The Expressions and Bifurcations of the Anti-Solitary Waves of Eq.(9.1) 181
9.8 The Bifurcations of An Anti-Solitary Wave 183
Exercise 185
Chapter 10 The Bifurcations of Peakons in a Generalized Comassa-Holm Equation 188
10.1 Traveling Wave System and Its Bifurcation Phase Portraits 188
10.2 The Hyperbolic Peakon Wave Solutions 196
10.3 The Fractional Peakon Wave Solutions 199
10.4 The Bifurcations of Peakon Wave Solutions 201
Exercise 207
References 208
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波动方程的相平面分析与数值模拟(英文版) 节选

Chapter 1 Some Codes of the Software Mathematica When we study the nonlinear waves of some partial differential equations, a mathematical software called “Mathematica” is often used to perform qualitative analysis and quantitative simulation. In this chapter, we list some useful functions and their corresponding codes which will be employed in the following chapters. 1. Use “Solve” to solve equations Example 1.1 Solve the following equation (1.1) Solution The codes and output result are as follows: Example 1.2 Solve a set of equations (1.2) Solution The codes and output result are as follows. 2. Use “NSolve” to solve equations Example 1.3 Solve the following equation (1.3) Solution The codes and output result are as follows: NSolve, Example 1.4 Solve a set of equations (1.4) Solution The codes and output result are as follows: NSolve. 3. Use “Factor” to perform factorization of polynomials Example 1.5 Factorize the following polynomial (1.5) Solution The codes and output result are as follows: Factor Example 1.6 Factorize the following polynomial (1.6) Solution The codes and output result are as follows: 4. Use “Expand” to expand some polynomials Example 1.7 Expand the following polynomial (1.7) Solution The codes and output result are as follows: Expand Example 1.8 Expand the following polynomial (1.8) Solution The codes and output result are as follows: Expand. 5. Use “Collect” to expand some polynomials Example 1.9 Expand the polynomial in terms of the power of x (1.9) Solution The codes and output result are as follows: Collect. Example 1.10 Expand the polynomial in terms of the power of y (1.10) Solution The codes and output result are as follows: Collect. 6. Use “Series” to expand a function Example 1.11 At x = 0, expand sin x up to the 10th-order term. Solution The codes and output result are as follows: Series[Sin[x], {x, 0, 10}] Example 1.12 At x = 1, expand ln x up to the 6th-order term. Solution The codes and output result are as follows: Series[Log[x], {x, 1, 6}]. 7. Use “Limit” to determine the limit of a sequence or function Example 1.13 Determine the limit of when n tends to positive infinity. Solution The codes and output result are as follows: Example 1.14 When x tends to zero, determine the limit of the following function (1.11) Solution The codes and output result are as follows: 8. Use “D” and “Simplify” to calculate the derivative, partial derivative and verify the correctness of a solution Example 1.15 Calculate the 1st-order and 3rd-order derivatives of the function f(x) respectively, where (1.12) Solution The codes and output result are as follows: Example 1.16 Calculate the 1st-order partial derivative gx, gy and 5th-order partial derivative gxxyyy of function g(x, y) respectively, where (1.13) Solution The codes and output result are as follows: Example 1.17 Test if function set x = .cos t and y = sin t is a set of solution of the following system (1.14) Solution The codes and output result are as follows: Example 1.18 Test if is a solution of the following equation (1.15) Solution The codes and output result are as follows: Simplify 9. Use “Plot” to draw graph of the function y = f(x) Example 1.19 Draw the graphs of y = sin x and y = cos x respectively. Solution The codes and output result are as follows (see Figures 1.1 and 1.2): Plot Plot Example 1.20 Draw the graphs of y = cos x and y = sin x together. Solution The codes and output result are as follows (see Figure 1.3): Plot Figure 1.1 The graph of y = sin x Figure 1.2 The graph of y = cos x Figure 1.3 The graphs of y = cos x and y = sin x 10. Use “ParametricPlot” to draw the curves with parametric expression Example 1.21 On the x–y plane, draw the curve with the expression (1.16) Solution The codes and output result are as follows (see Figure 1.4): Example 1.22 On the x–y–z space, draw the curves with the expression (1.17) Solution The codes and output result are as follows (see Figure 1.5):

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