差分方程导论（第3版） [An Introduction to Difference Equations（Third Edition）] pdf epub mobi txt 电子书 下载 2025

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☆☆☆☆☆

埃莱迪（Saber Elaydi） 著

出版社： 世界图书出版公司

ISBN：9787510033070

商品编码：10888927

包装：平装

外文名称：An Introduction to Difference Equations（Third Edition）

开本：24开

用纸：胶版纸

页数：539

内容简介

　　 《差分方程导论（第3版）》是一本学习差分方程的本科生教程。书中将差分方程的经典方法和现代方法有机结合，包括了新的一手材料，并且在表述上足够简洁明了，适合高年级的本科生和研究生使用。《差分方程导论（第3版）》是第三版，这版中包括了更多的证明，图表和应用，增加了许多新的内容，如，讲述高阶尺度差分方程的一章；有关一维映射的局部稳定性和全局稳定性的内容；介绍解的渐进思想的一节；levin-may定理的详细证明以及lap flour-beetle模型的新结果。
　　 读者对象：数学专业的本科生，研究生和相关的科研人员。

目录

preface to the third edition
preface to the second edition
preface to the first edition
list of symbols
1 dynamics of first-order difference equations
1.1 introduction
1.2 linear first-order difference equations
1.2.1 important special cases
1.3 equilibrium points
1.3.1 the stair step （cobweb） diagrams
1.3.2 the cobweb theorem of economics
1.4 numerical solutions of differential equations
1.4.1 euler‘s method
1.4.2 a nonstandard scheme
1.5 criterion for the asymptotic stability of equilibrium points
1.6 periodic points and cycles
1.7 the logistic equation and bifurcation
1.7.1 equilibrium points
1.7.2 2-cycles
1.7.3 22-cycles
1.7.4 the bifurcation diagram
1.8 basin of attraction and global stability （optional）
2 linear difference equations of higher order
2.1 difference calculus
2.1.1 the power shift
2.1.2 factorial polynomials
2.1.3 the antidifference operator
2.2 general theory of linear difference equations
2.3 linear homogeneous equations with constant coefficients
2.4 nonhomogeneous equations： methods of undetermind coefficeints
2.4.1 the method of variation of constants （parameters）
2.5 limiting behavior of solutions
2.6 nonlinear equations transformable to linear equations
2.7 applications
2.7.1 propagation of annual plants
2.7.2 gambler’s ruin
2.7.3 national income
2.7.4 the transmission of information
3 systems of linear difference equations
3.1 autonomous （time-invariant） systems
3.1.1 the discrete analogue of the putzer algorithm.
3.1.2 the development of the algorithm for an
3.2 the basic theory
3.3 the jordan form： autonomous （time-invariant） systems revisited
3.3.1 diagonalizable matrices
3.3.2 the jordan form
3.3.3 block-diagonal matrices
3.4 linear periodic systems
3.5 applications
3.5.1 markov chains
3.5.2 regular markov chains
3.5.3 absorbing markov chains
3.5.4 a trade model
3.5.5 the heat equation
4 stability theory
4.1 a norm of a matrix
4.2 notions of stability
4.3 stability of linear systems
4.3.1 nonautonomous linear systems
4.3.2 autonomous linear systems
4.4 phase space analysis
4.5 liapunov‘s direct， or second， method
4.6 stability by linear approximation
4.7 applications
4.7.1 one species with two age classes
4.7.2 host-parasitoid systems
4.7.3 a business cycle model
4.7.4 the nicholson-bailey model
4.7.5 the flour beetle case study
5 higher-order scalar difference equations
5.1 linear scalar equations
5.2 sufficient conditions for stability
5.3 stability via linearization
5.4 global stability of nonlinear equations
5.5 applications
5.5.1 flour beetles
5.5.2 a mosquito model
6 the z-transform method and volterra difference equations
6.1 definitions and examples
6.1.1 properties of the z-transform
6.2 the inverse z-transform and solutions of difference equations
6.2.1 the power series method
6.2.2 the partial fractions method
6.2.3 the inversion integral method
6.3 volterra difference equations of convolution type： the scalar case
6.4 explicit criteria for stability of volterra equations
6.5 volterra systems
6.6 a variation of constants formula
6.7 the z-transform versus the laplace transform
7 oscillation theory
7.1 three-term difference equations
7.2 self-adjoint second-order equations
7.3 nonlinear difference equations
8 asymptotic behavior of difference equations
8.1 tools of approximation
8.2 poincare’s theorem
8.2.1 infinite products and perron‘s example
8.3 asymptotically diagonal systems
8.4. high-order difference equations
8.5 second-order difference equations
8.5.1 a generalization of the poincare-perron theorem.
8.6 birkhoff’s theorem
8.7 nonlinear difference equations
8.8 extensions of the poincare and perron theorems
8.8.1 an extension of perron‘s second theorem
8.8.2 poincare’s theorem revisited
9 applications to continued fractions and orthogonal polynomials
9.1 continued fractions： fundamental recurrence formula
9.2 convergence of continued fractions
9.3 continued fractions and infinite series
9.4 classical orthogonal polynomials
9.5 the fundamental recurrence formula for orthogonal polynomials
9.6 minimal solutions， continued fractions， and orthogonal polynomials
10 control theory
10.1 introduction
10.1.1 discrete equivalents for continuous systems
10.2 controllability
10.2.1 controllability canonical forms
10.30bservability
10.3.10bservability canonical forms
10.4 stabilization by state feedback （design via pole placement）
10.4.1 stabilization of nonlinear systems by feedback
10.5 observers
10.5.1 eigenvalue separation theorem
a stability of nonhyperboli fixed points of maps on the real line
a.1 local stability of nonoscillatory nonhyperbolic maps
a.2 local stability of oscillatory nonhyperbolic maps
a.2.1 results with g（x）
b the vandermonde matrix
c stability of nondifferentiable maps
d stable manifold and the hartman-grobman-cushing theorems
d.1 the stable manifold theorem
d.2 the hartman-grobman-cushing theorem
e the levin-may theorem
f classical orthogonal polynomials
g identities and formulas
answers and hints to selected problems
maple programs
references
index

前言/序言

评分☆☆☆☆☆

是一本学习差分方程的本科生教程。书中将差分方程的经典方法和现代方法有机结合，包括了最新最权威的一手材料，并且在表述上足够简洁明了，适合高年级的本科生和研究生使用。《差分方程导论（第3版）》是第三版，这版中包括了更多的证明，图表和应用，增加了许多新的内容，如，讲述高阶尺度差分方程的一章；有关一维映射的局部稳定性和全局稳定性的内容；介绍解的渐进思想的一节；levin-may定理的详细证明以及lap flour-beetle模型的最新结果。

评分☆☆☆☆☆

知识是人类在实践中认识客观世界的成果。它可能包括事实，信息，描述或在教育和实践中获得的技能。它可能是关于理论的，也可能是关于实践的。在哲学中，关于知识的研究叫做认识论。知识的获取涉及到许多复杂的过程：感觉，交流，推理。知识也可以看成构成人类智慧的最根本的因素。

评分☆☆☆☆☆

影印本，书是好书，印刷质量一般。

评分☆☆☆☆☆

配合中文的差分方程得书一起使用

评分☆☆☆☆☆

差分方程还是比较有意思的

评分☆☆☆☆☆

Saber的写作风格高超.

评分☆☆☆☆☆

差分方程导论，买来学习。希望有收获。

评分☆☆☆☆☆

国内很少有详细讲述差分方程方面的是、书，这本书印刷精美，看起来很舒服，内容全面细致，适合需要深入学习差分方程的大学生，以及基础好的高中生等

评分☆☆☆☆☆

Gooooooooooooooooooooooood