Imaginary Mathematics for Computer Science

The imaginary unit i = -1 has been used by mathematicians for nearly five-hundred years, during which time its physical meaning has been a constant challenge. Unfortunately, René Descartes referred to it as "imaginary", and the use of the term "complex number" compounded the unnecessary mystery associated with this amazing object. Today, i = -1 has found its way into virtually every branch of mathematics, and is widely employed in physics and science, from solving problems in electrical engineering to quantum field theory.
John Vince describes the evolution of the imaginary unit from the roots of quadratic and cubic equations, Hamilton's quaternions, Cayley's octonions, to Grassmann's geometric algebra. In spite of the aura of mystery that surrounds the subject, John Vince makes the subject accessible and very readable. 
The first two chapters cover the imaginary unit and its integration with real numbers. Chapter 3 describes how complex numbers work with matrices, and shows how to compute complex eigenvalues and eigenvectors. Chapters 4 and 5 cover Hamilton's invention of quaternions, and Cayley's development of octonions, respectively. Chapter 6 provides a brief introduction to geometric algebra, which possesses many of the imaginary qualities of quaternions, but works in space of any dimension. The second half of the book is devoted to applications of complex numbers, quaternions and geometric algebra. John Vince explains how complex numbers simplify trigonometric identities, wave combinations and phase differences in circuit analysis, and how geometric algebra resolves geometric problems, and quaternions rotate 3D vectors. There are two short chapters on the Riemann hypothesis and the Mandelbrot set, both of which use complex numbers. The last chapter references the role of complex numbers in quantum mechanics, and ends with Schrödinger's famous wave equation. 
Filled with lots of clear examples and useful illustrations, this compact book provides an excellent introduction to imaginary mathematics for computer science.

Inhaltsverzeichnis

Introduction.- Complex Numbers.- Matrix Algebra.- Quaternions.- Octonions.- Geometric Algebra.- Trigonometric Identities using Complex Numbers.- Combining Waves using Complex Numbers.- Circuit Analysis using Complex Numbers.- Geometry Using Geometric Algebra.- Rotating Vectors using Quaternions.- Complex Numbers and the Riemann Hypothesis.- The Mandelbrot Set.- Conclusion.- Index.

Über den Autor / die Autorin

Professor John Vince
began working in computer graphics at Middlesex Polytechnic in 1968. His research activities centered on computer animation software and resulted in the PICASO and PRISM animation systems. Whilst at Middlesex, he designed the UK’s first MSc course in Computer Graphics and developed a popular program of short courses in computer animation for television designers. In 1986 he joined Rediffusion Simulation as a Research Consultant and worked on the development of real-time computer systems for commercial flight simulators. In 1992 he was appointed Chief Scientist of Thomson Training Simulation Ltd. In 1995 he was appointed Professor of Digital Media at the National Centre for Computer Animation at Bournemouth University and in 1999 he was made Head of Academic Group for Computer Animation. He was awarded a DSc by Brunel University in recognition of his work in computer graphics. He has written and edited over 40 books on computer graphics, computer animationand virtual reality, including the following Springer titles:


• Mathematics for Computer Graphics (2014)

• Calculus for Computer Graphics (2013)
• Matrix Transforms for Computer Games and Animation (2012)
• Expanding the Frontiers of Visual Analytics and Visualization (2012)
• Quaternions for Computer Graphics (2011)

• Rotation Transforms for Computer Graphics (2011)

Zusammenfassung

The imaginary unit i = √-1 has been used by mathematicians for nearly five-hundred years, during which time its physical meaning has been a constant challenge. Unfortunately, René Descartes referred to it as “imaginary”, and the use of the term “complex number” compounded the unnecessary mystery associated with this amazing object. Today, i = √-1 has found its way into virtually every branch of mathematics, and is widely employed in physics and science, from solving problems in electrical engineering to quantum field theory.
John Vince describes the evolution of the imaginary unit from the roots of quadratic and cubic equations, Hamilton’s quaternions, Cayley’s octonions, to Grassmann’s geometric algebra. In spite of the aura of mystery that surrounds the subject, John Vince makes the subject accessible and very readable. 
The first two chapters cover the imaginary unit and its integration with real numbers. Chapter 3 describes how complex numbers work with matrices, and shows how to compute complex eigenvalues and eigenvectors. Chapters 4 and 5 cover Hamilton’s invention of quaternions, and Cayley’s development of octonions, respectively. Chapter 6 provides a brief introduction to geometric algebra, which possesses many of the imaginary qualities of quaternions, but works in space of any dimension. The second half of the book is devoted to applications of complex numbers, quaternions and geometric algebra. John Vince explains how complex numbers simplify trigonometric identities, wave combinations and phase differences in circuit analysis, and how geometric algebra resolves geometric problems, and quaternions rotate 3D vectors. There are two short chapters on the Riemann hypothesis and the Mandelbrot set, both of which use complex numbers. The last chapter references the role of complex numbers in quantum mechanics, and ends with Schrödinger’s famous wave equation. 
Filled with lots of clear examples and useful illustrations, this compact book provides an excellent introduction to imaginary mathematics for computer science.

Zusatztext

“This interesting book is very easy to read and understand. While the topics are not new, they are explained in lucid terms for anyone who is interested in sophisticated mathematics. … The topics are very real, and I think the book would be of significant interest to many people, not just computer scientists. … you may never see another text with so many worked examples--and meaningful examples at that; they alone are worth the price of the book.” (James Van Speybroeck, Computing Reviews, June 04, 2019)

“The book is quite different from typical books that introduce readers to complex variables. … This book can serve as a reference for students working in physics or computer science seeking an introduction to complex numbers; this is helped by the lengthy chapter summaries.” (M. Bona, Choice, Vol. 56 (10), June, 2019)

Bericht

"This interesting book is very easy to read and understand. While the topics are not new, they are explained in lucid terms for anyone who is interested in sophisticated mathematics. ... The topics are very real, and I think the book would be of significant interest to many people, not just computer scientists. ... you may never see another text with so many worked examples--and meaningful examples at that; they alone are worth the price of the book." (James Van Speybroeck, Computing Reviews, June 04, 2019)

"The book is quite different from typical books that introduce readers to complex variables. ... This book can serve as a reference for students working in physics or computer science seeking an introduction to complex numbers; this is helped by the lengthy chapter summaries." (M. Bona, Choice, Vol. 56 (10), June, 2019)

Produktdetails

• Autoren: John Vince
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 01.01.2018
• EAN: 9783319946368
• ISBN: 978-3-31-994636-8
• Seiten: 301
• Abmessung: 156 mm x 242 mm x 20 mm
• Gewicht: 670 g
• Illustration: XVII, 301 p. 99 illus. in color.
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Sonstiges; B, computer science, Mathematical Applications in Computer Science, Mathematical & statistical software, Computer science—Mathematics, Math Applications in Computer Science