Essential Mathematics for Economic Analysis, third edition The market leading European text, Essential Mathematics for Economic Analysis, third Edition, continues to provide an invaluable introduction to the mathematical tools that undergraduate economists need New to this edition: * New: Economic concepts, definitions and topics covered in the book are listed on the inside front cover. * New: Short answers to almost all of the more than 1000 problems in the book for students to self check. * New Students Manual with extended worked answers to selected problems in the book. *New sections on elementary differential equations and difference equations included in this volume for the first time. * New and improved figures in colour for the first time. *New Instructor's Manual now contains a large range of additional supplementary problems, simple to advanced, suitable for use in examinations. Knut Sydsater is an Emeritus Professor of Mathematics in the Economics Department at the University of Oslo, where, since 1965, he has had extensive experience in teaching mathematics for economists. He has also given graduate courses in dynamic optimization at Berkeley and Gothenborg.He has written and co-authored a number of books, of which several have been translated into many languages. In recent years he has been engaged in an attempt to improve the teaching of mathematics for economists in several African universities. PeterHammond is currently the Marie Curie Professor of Economics at the University of Warwick, where he moved in 2007 after becoming an Emeritus Professor at Stanford University. During the 1970s he was a Lecturer, then Professor in Economics at the University of Essex. He completed a BA in Mathematics and a PhD in Economics at the University of Cambridge. He has been an editor of the Review of Economic Studies, of the Econometric Society Monograph Series, and has served on the editorial boards of Social Choice and Welfare and the Journal of Public Economic Theory. He has published more than 100 academic papers in journals and books, mostly on economic theory and mathematical economics.Also available: Further Mathematics for Economic Analysis published in a new 2ND EDITION by Sydsater, Hammond, Seierstad and Strom (ISBN 9780273713289) Further Mathematics for Economic Analysis is a companion volume to Essential Mathematics for Economic Analysis intended for advanced undergraduate and graduate economics students whose requirements go beyond the material found in this text. Do you require just a couple of additional further topics? See the front of this text for information on our Custom Publishing Programme. 'The book is by far the best choice one can make for a course on mathematics for economists. It is exemplary in finding the right balance between mathematics and economic examples.' Dr. Roelof J. Stroeker, Erasmus University, Rotterdam. I have long been a fan of these books, most books on Maths for Economists are either mathematically unsound or very boring or both! Sydsaeter & Hammond certainly do not fall into either of these categories.' Ann Round, University of Warwick Visit www.pearsoned.co.uk/sydsaeter to access the companion website for this text including: Student Manual with extended answers broken down step by step to selected problems in the text.*Excel supplement *Multiple choice questions for each chapter to self check your learning and receive automatic feedback.
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坦白说,初次翻开这本厚厚的数学专著时,我内心是有些抗拒的,毕竟经济学的美妙在于其思想的逻辑,而非繁复的符号。然而,这本书彻底改变了我的看法。它成功地将抽象的数学概念“翻译”成了直观的经济学直觉。例如,它对差分方程和微分方程的引入,并非枯燥的数学练习,而是直接挂钩到跨期选择和经济增长模型的核心机制。书中对“稳定性分析”的阐述尤其精彩,它不仅仅是求导、看二阶条件,而是让你理解为什么某些经济均衡是可持续的,而另一些则注定会崩溃。这种从数学形式中提炼出经济学含义的能力,是其他很多泛泛而谈的教材所不具备的。作者对细节的把握达到了偏执的程度,每一个定理的证明都经过了深思熟虑,确保了阅读的连贯性和逻辑的严密性。读完后,我感觉自己对Solow增长模型乃至更复杂的动态随机一般均衡(DSGE)模型都有了全新的、更坚实的理解基础。这本书就像是为经济学研究的“硬核”部分打地基,地基打得越实,上层建筑才能盖得越高。
评分这本书的行文风格极其严谨,仿佛是一部数学史上的里程碑式著作,但其内在逻辑却又充满了经济学的灵魂。与其他数学教材相比,它最大的优势在于其“主题性”——所有的数学分支都是围绕着“理性人行为”、“市场均衡”、“动态演化”这三大经济学支柱展开的。例如,在讨论博弈论中的纳什均衡时,它没有简单地停留在不动点定理的叙述上,而是深入探讨了如何用拓扑学的概念来保证均衡的存在性,这对于理解更深层次的机制设计理论至关重要。读完后,我发现自己对“局部最优”和“全局最优”的理解不再停留在直觉层面,而是拥有了清晰的、基于数学证明的认识。这本书更像是一座桥梁,将纯粹的分析方法论与生动的经济学直觉完美地连接了起来。对于任何一位严肃对待经济学分析的学者而言,它不是一本“可有可无”的辅助材料,而是构成其知识体系的“必需品”。它教会你的不仅仅是计算,更是如何像一名数学家一样思考经济问题。
评分这本书的难度系数绝对不低,它不是那种可以一边喝咖啡一边轻松阅读的入门读物。它要求读者全身心地投入,尤其是涉及到概率论和随机过程的部分,讲解得极为细致,但要真正掌握,依然需要大量的独立思考和计算练习。我感觉作者在编写时,始终将读者设定在一名研究生甚至初级教研人员的水平上。它对随机微分方程(SDEs)的介绍,虽然是精简的,但足以让你理解Black-Scholes模型背后的随机游走思想,这对于金融经济学方向的学生来说是极其宝贵的。更让我印象深刻的是,书中对于“连续时间”框架的偏爱,这反映了当代理论经济学的主流趋势。掌握了书中的工具,你才能真正跟上那些顶级期刊的步伐。这本书的价值不在于让你学会“解题”,而在于培养你“构建模型”的数学思维,即如何用最恰当的数学语言去描述一个复杂的经济现象,并从中推导出可检验的结论。
评分对于已经有一定的数学基础,但希望系统化梳理和深化对经济学相关数学工具理解的同行来说,这本书提供了一个无与伦比的参考框架。我尤其欣赏它在处理矩阵代数和优化理论时的深度和广度。它没有停留在线性代数教科书上那些纯粹的几何解释,而是直接深入到如何用矩阵分解来处理投入产出模型,或者如何利用KKT条件来处理带有不等式约束的博弈论问题。这种高度的针对性,使得每一次翻阅都能带来新的启发。这本书的排版和图示设计也极大地提升了学习效率,复杂的多元函数梯度下降过程,通过清晰的几何图形展现出来,使得那些原本容易混淆的向量方向变得一目了然。它真正做到了“为经济学服务”,所有数学工具的选择和阐述,都是围绕着经济学中最核心、最前沿的分析需求展开的。我甚至开始把它当作一本工具书来使用,每当遇到一个棘手的模型设定,翻开对应章节,总能找到最精准、最权威的数学处理方法。
评分这本《经济学必备数学》读起来真是一场酣畅淋漓的智力冒险。作者显然对经济学家的数学需求有着深刻的洞察,书中讲解的每一个概念,从基础的微积分到复杂的动态规划,都紧密地与经济学中的实际问题相结合。我特别欣赏它在理论推导与实际应用之间的精妙平衡。比如,在讲解拉格朗日乘数法时,它不仅仅给出了公式,更是深入剖析了如何用它来解决垄断厂商的利润最大化问题,那种拨云见雾的感觉非常棒。对于我这种背景稍微薄弱,但渴望深入理解现代经济学模型的学习者来说,这本书简直是量身定制的。它没有那种高高在上的学术腔调,而是像一位耐心的导师,一步步引导你跨越数学的障碍。我感觉自己不再是被动接受知识,而是真正参与到了数学模型的构建过程中去。书中的例题设计得极其巧妙,很多都是经典的经济学案例,让我能立刻看到所学工具的价值所在。这本书无疑是为那些想在计量经济学、宏观经济学或者微观理论领域站稳脚跟的读者准备的硬核教材,它提供的工具箱足够强大,足以应对未来任何复杂的分析挑战。
评分MATH1530,1540 Calculus and linear algebra
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评分MATHE FUCKING MATICS! YES BABY!
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评分Textbook for Sec. Year in Rug
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