Books in the Cambridge Mathematical Textbooks series

This classroom-tested undergraduate textbook is intended for a general education course in game theory at the freshman or sophomore level. While it starts off with the basics and introduces the reader to mathematical proofs, this text also presents several advanced topics, including accessible proofs of the Sprague-Grundy theorem and Arrow's impossibility theorem.

Mathematicians have shown that virtually all mathematical concepts and results can be formalized within set theory. This textbook covers the fundamentals of abstract sets and develops these theories within the framework of axiomatic set theory. The proofs presented are rigorous, clear, and suitable for undergraduate and graduate students.

This undergraduate text is a rigorous introduction to dynamical systems and an accessible guide for those transitioning from calculus to advanced mathematics. It has many student-friendly features, such as graded exercises ranging from straightforward to more difficult with hints, and includes applications of real analysis and metric space theory.

A recent surge in computer-based experimental approaches to pure mathematics is revolutionizing the way research mathematicians work. As the first of its kind, this textbook provides students with an introduction to the ends and means of experimental mathematics using the popular computer algebra system Maple.

Assuming minimal prerequisites, this rigorous yet accessible text is intended for a year-long analysis or advanced calculus course for advanced undergraduate or beginning graduate students. It clearly and concisely explains differentiation and integration of functions of one, and several variables and covers the Green, Gauss, and Stokes theorems.

Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course. Written for students in pure and applied mathematics, as well as physics, engineering, and computer science, it is designed to facilitate the transition from calculus to advanced mathematics.

This book offers a concise and modern introduction to differential topology, the study of smooth manifolds and their properties, at the advanced undergraduate/beginning graduate level. The treatment throughout is hands-on, including many concrete examples and exercises woven into the text with hints provided to guide the student.

This conversational introduction to abstract algebra takes a modern, rings-first approach. In addition to its unconventional order of classical material, another key feature is the treatment of topics often neglected in undergraduate textbooks, such as modules. More than 400 exercises are included, 150 of which are carefully worked out.

This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.