Transition to Advanced Mathematics

This unique and contemporary text not only offers an introduction to proofs with a view towards algebra and analysis, a standard fare for a transition course, but also presents practical skills for upper-level mathematics coursework and exposes undergraduate students to the context and culture of contemporary mathematics.

The authors implement the practice recommended by the Committee on the Undergraduate Program in Mathematics (CUPM) curriculum guide, that a modern mathematics program should include cognitive goals and offer a broad perspective of the discipline.

Part I offers:

1. An introduction to logic and set theory.
2. Proof methods as a vehicle leading to topics useful for analysis, topology, algebra, and probability.
3. Many illustrated examples, often drawing on what students already know, that minimize conversation about "doing proofs."
4. An appendix that provides an annotated rubric with feedback codes for assessing proof writing.

Part II presents the context and culture aspects of the transition experience, including:

1. 21^st century mathematics, including the current mathematical culture, vocations, and careers.
2. History and philosophical issues in mathematics.
3. Approaching, reading, and learning from journal articles and other primary sources.
4. Mathematical writing and typesetting in LaTeX.

Together, these Parts provide a complete introduction to modern mathematics, both in content and practice.

Table of Contents

1. Logic and Sets
3. Arguments and Proofs
4. Functions
5. Properties of the Integers
6. Counting and Combinatorial Arguments
7. Relations
   
   Part II - Culture, History, Reading, and Writing
   
8. Mathematical Culture, Vocation, and Careers
9. History and Philosophy of Mathematics
10. Reading and Researching Mathematics
11. Writing and Presenting Mathematics

Appendix A. Rubric for Assessing Proofs

Appendix B. Index of Theorems and Definitions from Calculus and Linear Algebra

Bibliography

Index

is an Associate Professor of Mathematics at Wheaton College in Illinois. Raised and educated in Switzerland, he holds a PhD in applied mathematical and computational sciences from the University of Iowa, as well as a master’s degree in civil engineering from the Ecole Polytechnique Fédérale in Lausanne, Switzerland. His research interests are in dynamical systems modeling applied to biology, ecology, and epidemiology.

Stephen Lovett is a Professor of Mathematics at Wheaton College in Illinois. He holds a PhD in representation theory from Northeastern University. His other books include Abstract Algebra: Structures and Applications (2015), Differential Geometry of Curves and Surfaces, with Tom Banchoff (2016), and Differential Geometry of Manifolds (2019).