Grassmann Algebra

Provides a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts.

**Tag(s):**
Linear Algebra

**Publication date**: 01 Jan 2001

**ISBN-10**:
1479197637

**ISBN-13**:
9781479197637

**Paperback**:
588 pages

**Views**: 20,290

**Type**: N/A

**Publisher**:
CreateSpace Independent Publishing Platform

**License**:
n/a

**Post time**: 18 Nov 2006 05:44:22

Grassmann Algebra

Provides a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts.

Terms and Conditions:

Book Excerpts:

Grassmann algebra is a mathematical system which predates vector algebra, and yet is more powerful than it, subsuming and unifying much of the algebra used by engineers and physicists. It has remained relatively unknown since its discovery over 160 years ago in Hermann Günther Grassmann's Ausdehnungslehre, yet is now emerging as a potential mathematical system for describing such diverse applications as robotic manipulators and fundamental physical theories.

The intrinsic power of Grassmann algebra arises from its fundamental product operation, the exterior product. The exterior product codifies the property of linear dependence, so essential for modern applied mathematics, directly into the algebra. Simple non-zero elements of the algebra may be viewed as representing constructs of linearly independent elements. For example, a simple bivector is the exterior product of two vectors; a line is the exterior product of two points and a plane is the exterior product of three points.

The primary focus of this book is to provide a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science. This book tries to make it accessible to scientists and engineers, students and professionals alike, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts. The only assumptions for the reader's background is that they have some familiarity with basic linear algebra.

The secondary concern of this book is to provide an environment for exploring applications of the Grassmann algebra. For general applications in higher dimensional spaces, computations by hand in any algebra become tedious, indeed limiting, thus restricting the hypotheses that can be explored. For this reason the book will include a package for exploring Grassmann algebra, called GrassmannAlgebra, which has been developed in Mathematica. Readers can read the book without using the package, or use the package to extend the examples in the text, experiment with hypotheses, or explore their own interests.

John Browne wrote:All the chapters you see available here are of course protected by copyright. It is a condition of your accessing the files that you agree to use them for your own individual private study only. They may not otherwise be copied or distributed in any way in whole or in part without the permission of the author. You may reference or quote small sections of the work as long as due acknowledgment is made.

Book Excerpts:

Grassmann algebra is a mathematical system which predates vector algebra, and yet is more powerful than it, subsuming and unifying much of the algebra used by engineers and physicists. It has remained relatively unknown since its discovery over 160 years ago in Hermann Günther Grassmann's Ausdehnungslehre, yet is now emerging as a potential mathematical system for describing such diverse applications as robotic manipulators and fundamental physical theories.

The intrinsic power of Grassmann algebra arises from its fundamental product operation, the exterior product. The exterior product codifies the property of linear dependence, so essential for modern applied mathematics, directly into the algebra. Simple non-zero elements of the algebra may be viewed as representing constructs of linearly independent elements. For example, a simple bivector is the exterior product of two vectors; a line is the exterior product of two points and a plane is the exterior product of three points.

The primary focus of this book is to provide a readable account in modern notation of Grassmann's major algebraic contributions to mathematics and science. This book tries to make it accessible to scientists and engineers, students and professionals alike, by avoiding all mathematical terminology which does not make an essential contribution to understanding the basic concepts. The only assumptions for the reader's background is that they have some familiarity with basic linear algebra.

The secondary concern of this book is to provide an environment for exploring applications of the Grassmann algebra. For general applications in higher dimensional spaces, computations by hand in any algebra become tedious, indeed limiting, thus restricting the hypotheses that can be explored. For this reason the book will include a package for exploring Grassmann algebra, called GrassmannAlgebra, which has been developed in Mathematica. Readers can read the book without using the package, or use the package to extend the examples in the text, experiment with hypotheses, or explore their own interests.

Tweet

About The Author(s)

John Browne has been consulting with industry and teaching undergraduates, postgraduates, and faculty to use and apply Mathematica in their courses and research since 1991. He has lived and worked in Australia and the United States as both an engineer and an academic-- most recently as Associate Professor of Mechanical Engineering at Swinburne University of Technology in Melbourne, Australia.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors