About Us

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

More about us

Keep Connect with Us

  • =

Login to Your Account

Functional Differential Geometry by Sussman, Wisdom & Farr




Functional Differential Geometry - Table of Contents

1. Introduction 2. Manifolds 3. Vector Fields and One-Form Fields 4. Basis Fields 5. Integration 6. Over a Map 7. Directional Derivatives 8. Curvature 9. Metrics 10. Hodge Star and Electrodynamics 11. Special Relativity

What You Will Learn in Functional Differential Geometry

"Functional Differential Geometry" by Gerald Jay Sussman, Jack Wisdom, and Will Farr is an unconventional and conceptually rich introduction to differential geometry, written with a strong emphasis on meaning rather than formal symbolism. The book rethinks how geometry should be learned, especially by students of physics and computation, by focusing on "functions", "structure", and "interpretation" instead of heavy tensor index manipulation. A defining feature of the book is its integration of "computation" into mathematical understanding. The authors encourage readers to express geometric ideas as executable procedures, using programming as a way to test intuition and verify correctness. This functional perspective makes abstract ideas—such as vector fields, differential forms, curvature, and metrics—feel more concrete and operational. The approach aligns closely with modern thinking in "differential geometry", where coordinate-free reasoning and transformations take center stage. The text is particularly well suited for readers interested in "physics", especially areas like electromagnetism and relativity, where geometry is not just formal but deeply physical. It also stands out as a thoughtful bridge between mathematics, physics, and computation, offering a fresh way to understand geometric ideas at their core.

Book Details & Specifications

Title: Functional Differential Geometry by Sussman, Wisdom & Farr
Publisher: The MIT Press
Year: 2013
Pages: 249
Type: PDF
Language: English
ISBN-10 #: 0262019345
ISBN-13 #: 978-0262019347
License: CC BY-NC-SA 4.0
Amazon: Amazon

About the Author: Gerald Jay Sussman, Jack Wisdom, Will Farr

The author Gerald Jay Sussman, Jack Wisdom, Will Farr , a longtime MIT professor, is known for promoting "computational thinking" as a way to understand complex mathematical ideas, emphasizing meaning over symbolic manipulation. Jack Wisdom brings deep insight from "dynamical systems" and planetary physics, grounding geometry in real physical behavior. Will Farr, an expert in "astrophysics" and statistical methods, adds modern computational rigor. Together, they blend "geometry" and computation into a concept-driven approach that reflects how mathematics is actually used in scientific research.

Free Differential Geometry Books PDF | Curated Academic Links

Intro to Differential Geometry - Robbin & Salamon | Free PDF
Introduction to Differential Geometry by Robbin and Salamon offers a rigorous, structured guide to manifolds, curvature, and smooth geometry.
Differential Geometry - Pinkall & Gross | Free PDF
Learn differential geometry, Riemannian geometry, and geometric analysis with Pinkall & Gross’ accessible guide for students and researchers.
Advances in Discrete Differential Geometry - Bobenko | PDF
Learn discrete differential geometry and geometric algorithms for curves, surfaces, and nets in Bobenko’s advanced mathematics guide.
Lectures on Geometry of Manifolds - Liviu Nicolaescu | PDF
Learn differential geometry and manifold theory with Nicolaescu’s book, covering Riemannian metrics, curvature, and geodesics.
Manifolds & de Rham Cohomology - Peter Petersen | PDF
Peter Petersen’s Manifolds, Transversality & de Rham Cohomology explains how differential forms and intersections reveal manifold structures.

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

.