About Us

Math shortcuts, Articles, worksheets, Exam tips, Question, Answers, FSc, BSc, MSc

More about us

Keep Connect with Us

  • =

Login to Your Account

The Foundations of Geometry by David Hilbert




The Foundations of Geometry - Table of Contents

0. Introduction 1. THE FIVE GROUPS OF AXIOMS. 2. THE COMPATIBILITY AND MUTUAL INDEPENDENCE OF THE AXIOMS. 3. THE THEORY OF PROPORTION. 4. THE THEORY OF PLANE AREAS. 5. DESARGUES’S THEOREM. 6. PASCAL’S THEOREM. 7. GEOMETRICAL CONSTRUCTIONS BASED UPON THE AXIOMS I–V.

What You Will Learn in The Foundations of Geometry

This is a well known landmark mathematical work that redefined the study of "geometry through axiomatic principles". First published in 1899, the book systematically examines the basic elements of geometry—"points, lines, and planes" and establishes a consistent framework of axioms. Hilbert’s work addresses both "Euclidean and non-Euclidean geometries", offering rigorous insights into the independence, consistency, and completeness of geometric systems. The book is structured to provide a "step-by-step logical development" of geometry from first principles. Hilbert carefully analyzes "the five groups of axioms": incidence, order, congruence, continuity, and parallels, ensuring each concept is clearly defined and logically connected. Detailed proofs, examples, and reasoning make complex ideas accessible to students, educators, and researchers, while highlighting the modern approach to axiomatic thinking in mathematics. Now "Foundations of Geometry" is now in the "public domain", freely accessible for educational and research purposes. Its systematic approach to geometry has influenced generations of mathematicians and remains a "classic reference" in the study of geometric theory, logic, and the foundations of mathematics. The text continues to serve as an essential resource for understanding the structure and rigor of modern geometric systems.

Book Details & Specifications

Title: The Foundations of Geometry by David Hilbert
Publisher: The Open Court Pub. Co., Chicago
Year: 1910
Pages: 170
Type: PDF
Language: English
ISBN-10 #: 0486828093
ISBN-13 #: 978-0486828091
License: Public Domain Work
Amazon: Amazon

About the Author: David Hilbert

The author David Hilbert was a leading mathematician and Professor of Mathematics at University of Gottingen whose work transformed many areas of mathematics. He is well known for his efforts to make mathematics more rigorous and logical, especially through his work on the foundations of geometry. His ideas helped many other mathematicians and still influence math today.

Free Non-Euclidean Geometry Books PDF | Hyperbolic & Elliptic Math

Non-Euclidean Plane Geometry & Trig. - Carslaw | PDF
The Elements Of Non-Euclidean Geometry by Coolidge breaks down complex ideas, providing insight into geometry’s revolutionary shift beyond Euclid.
Nature & Validity of Euclid's Parallel Postulate | PDF
John W. Withers examines the logic and history of Euclid's Parallel Postulate, shedding light on its place in both classical and modern geometry.
Researchers on Curves of the Second Order - Hearn | PDF
Download Hearn’s Researches on Curves of the Second Order, a 19th-century analytic geometry textbook for students and scholars.
Advanced Geometry for High Schools - McDougall | PDF
Learn solid and analytical geometry with A. H. McDougall’s timeless textbook for high schools. ideal for advanced math students and educators.
A Course of Pure Geometry - E.H. Askwith | PDF
Study the ellipse, parabola, and hyperbola with Askwith’s classic A Course of Pure Geometry, a deep dive into geometric proofs and reasoning.

Mathematics Book Categories

Algebra & Trig. / Precalculus
Basic Algebra
Trigonometry
Calculus
Calculus with Analytical Geometry
Single Variable Calculus
Differential Calculus
Integral Calculus
Multivariable Calculus
Advanced Calculus
Calculus of Variation
Linear Algebra
Linear Algebra (Introduction)
Matrix Algebra
Discrete Mathematics
Probability & Statistics
Introductory Statistics
Probability & Stochastic Processes
Theoretical & Mathematical Statistics
Regression & Statistical Learning
Computational & Bayesian Statistics
Interdisciplinary & Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Mathematical Methods
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

.