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Exploring Formalisation

A Primer in Human-Readable Mathematics in Lean 3 with Examples from Simplicial Topology

  • Textbook
  • © 2022

Overview

  • Example driven: each topic is first presented in pen-and-paper style and then formalised in Lean
  • Starts at a very elementary level and ends with examples from current research
  • Aims for human-readable code and includes a variety of exercises

Part of the book series: Surveys and Tutorials in the Applied Mathematical Sciences (STAMS, volume 11)

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Table of contents (4 chapters)

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About this book

This primer on mathematics formalisation provides a rapid, hands-on introduction to proof verification in Lean.


After a quick introduction to Lean, the basic techniques of human-readable formalisation are introduced, illustrated by simple examples on maps, induction and real numbers. Subsequently, typical design options are discussed and brought to life through worked examples in the setting of simplicial complexes (a higher-dimensional generalisation of graph theory). Finally, the book demonstrates how current research in algebraic and geometric topology can be formalised by means of suitable abstraction layers.


Informed by the author's recent teaching and research experience, this book allows students and researchers to quickly get started with formalising and checking their proofs. The core material of the book is accessible to mathematics students with basic programming skills. For the final chapter, familiarity with elementarycategory theory and algebraic topology is recommended.

Authors and Affiliations

  • Fakultät für Mathematik, Universität Regensburg, Regensburg, Germany

    Clara Löh

About the author

Clara Löh is Professor of Mathematics at the University of Regensburg, Germany. Her research focuses on simplicial volume and the interaction between geometric topology, geometric group theory, and measured group theory. This includes cohomological, geometric, and combinatorial methods. She is also interested in the foundations of mathematics and the formalisation/verification of mathematics in proof assistants.

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