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For the second edition of this very successful text, Professor Binmore has written two chapters on analysis in vector spaces. The discussion extends to the notion of the derivative of a vector function as a matrix and the use of second derivatives in classifying stationary points. Some necessary concepts from linear algebra are included where appropriate. The first edition contained numerous worked examples and an ample collection of exercises for all of which solutions were provided at the end of the book. The second edition retains this feature but in addition offers a set of problems for which no solutions are given. Teachers may find this a helpful innovation.
This book is an introduction to the ideas from general topology that are used in elementary analysis. It is written at a level that is intended to make the bulk of the material accessible to students in the latter part of their first year of study at a university or college although students will normally meet most of the work in their second or later years. The aim has been to bridge the gap between introductory books like the author's Mathematical Analysis: A Straightforward Approach, in which carefully selected theorems are discussed at length with numerous examples, and the more advanced book on analysis, in which the author is more concerned with providing a comprehensive and elegant theory than in smoothing the ways for beginners. An attempt has been made throughout not only to prepare the ground for more advanced work, but also to revise and to illuminate the material which students will have met previously but may have not fully understood.
In elementary introductions to mathematical analysis, the treatment of the logical and algebraic foundations of the subject is necessarily rather skeletal. This book attempts to flesh out the bones of such treatment by providing an informal but systematic account of the foundations of mathematical analysis written at an elementary level. This book is entirely self-contained but, as indicated above, it will be of most use to university or college students who are taking, or who have taken, an introductory course in analysis. Such a course will not automatically cover all the material dealt with in this book and so particular care has been taken to present the material in a manner which makes it suitable for self-study. In a particular, there are a large number of examples and exercises and, where necessary, hints to the solutions are provided. This style of presentation, of course, will also make the book useful for those studying the subject independently of taught course.
This chapter represents the first of several putative papers on bargaining among a small number of players. The problem treated in the current paper may be thought of as the “three-player/three-cake” problem. Each pair of players exercises control over the division of a different cake, but only one of the cakes can be divided. Which of the cakes is divided and how much does each player receive? This problem is, of course, a paradigm for a much wider class of problems concerning the conditions under which coalitions will or will not form.
The general viewpoint is the same as that adopted in our previous papers on bargaining (e.g., [3], [4], and [5]). Briefly, we follow Nash ([15], [16], and [17]) in regarding “noncooperative games” as more fundamental than “cooperative games.” Operationally, this means that cooperative solution concepts need to be firmly rooted in noncooperative theory in the sense that the concept should be realizable as the solution of at least one interesting and relevant noncooperative bargaining game (and preferably of many such bargaining games).
The cooperative concept that we wish to defend in the context of the three-person/three-cake problem is a version of the “Nash bargaining solution.” A precise statement of the version required is given in Section 13.3. For the moment, we observe only that the notion can be thought of as synthesizing to some extent the different approaches of Nash and von Neumann and Morgenstern.
It is a pleasure to write a preface for the second edition of Mathematical Analysis: A Straightforward Approach. The first edition was well-received and I have therefore thought it wise to leave its text substantially unaltered except for one or two minor points of clarification and the correction of misprints. The major change is the addition of two long chapters on analysis in vector spaces for which there has been a considerable demand. These get as far as the idea of a derivative as a matrix and the use of the second order derivative of a real-valued function in classifying stationary points. More advanced material than this would seem to me better delayed until after the basic topological notions have been mastered. As far as the material covered is concerned, it does not involve the proof of many theorems and the necessary proofs involve no new analytic ideas. However, the material does require a certain facility with algebraic and geometric ideas and students with only a very limited knowledge of linear algebra may find it heavy going in spite of the fact that some discussion of the necessary concepts from linear algebra is included where appropriate. Another innovation is the inclusion of a collection of further problems for which the solutions are not given. I am grateful to John Erdos for some of these as well as other helpful suggestions.