Book

Convex Polytopes

by Peter McMullen, Geoffrey C. Shepherd

📖 Overview

Convex Polytopes presents a comprehensive mathematical treatment of geometric objects formed by the intersection of finitely many half-spaces. This foundational text covers both classical results and research developments in the field up through the early 1970s. The authors establish core concepts through a structured progression, moving from basic definitions to advanced theorems about polytope properties, symmetries, and classifications. The work contains detailed proofs and illustrations that support the mathematical framework. The book connects polytope theory to multiple branches of mathematics including linear programming, graph theory, and group theory. It serves as both a reference text for researchers and a learning resource for graduate students studying geometric and algebraic combinatorics. This systematic exploration of convex polytopes demonstrates the deep connections between abstract geometric structures and practical mathematical applications. The work highlights the fundamental role of polytopes as building blocks for understanding higher-dimensional spaces and geometric relationships.

👀 Reviews

The book is considered challenging but thorough by graduate students and mathematicians in convex geometry. Several reviewers noted they use it as a reference text rather than reading it cover-to-cover. Liked: - Comprehensive coverage of foundational theorems - Clear organization of topics - Includes historical context and development of key ideas - Detailed proofs and rigorous mathematical treatment Disliked: - Dense writing style requiring significant background knowledge - Few worked examples or intuitive explanations - Some notation differences from other standard texts - Limited coverage of computational aspects Available ratings are limited: Goodreads: 4.0/5 (5 ratings, 0 written reviews) Amazon: No reviews WorldCat: No ratings or reviews One mathematics professor on MathOverflow called it "the standard reference for the combinatorial theory of convex polytopes" while noting it may be "too abstract for beginners." Several forum posts recommend pairing it with Ziegler's "Lectures on Polytopes" for a more approachable introduction to the subject.

📚 Similar books

Lectures on Polytopes by Günter M. Ziegler A foundational text connecting geometric, algebraic, and computational aspects of polytope theory.

Polytopes, Rings and K-Theory by Winfried Bruns, Joseph Gubeladze This work bridges polytope theory with commutative algebra and algebraic K-theory through toric geometry.

Theory of Convex Bodies by Rolf Schneider The text presents convex geometry from measure-theoretic and analytic perspectives with connections to polytope theory.

Geometric Combinatorics by Ezra Miller, Victor Reiner, and Bernd Sturmfels This collection links polytope theory to oriented matroids, triangulations, and discrete geometry.

Lattice Points by Alexander Barvinok The book explores the relationship between polytopes and integer points through algebraic and geometric methods.

🤔 Interesting facts

🔷 The book, published in 1971, was one of the first comprehensive texts to bridge the gap between classical convex geometry and modern abstract algebra in polytope theory. 🔷 Peter McMullen went on to win the prestigious Pólya Prize in 1983 for his groundbreaking work in combinatorial theory and geometry, including contributions that expanded on concepts presented in this book. 🔷 Convex polytopes are fundamental to understanding optimization algorithms and have practical applications in linear programming, which is used in everything from scheduling airline flights to managing supply chains. 🔷 The f-vector theory discussed in the book became central to solving parts of the Upper Bound Conjecture, one of the most significant problems in polytope theory that remained unsolved for decades. 🔷 Geoffrey C. Shepherd developed much of his research at the University of East Anglia, which became a notable center for discrete geometry research in the UK during the 1970s and 1980s.