Abstract
This chapter reviews the various types of matrices and their associated algebra that apply to real and complex numbers. For clarity, they are described in a complex context. I also describe how a complex number can be represented as a matrix, and show that \(a+bi\), \(\cos \theta +i\sin \theta \), \(e^{i\theta }\), i and \(i^{-1}\), all have a \(2\times 2\) equivalent matrix. If matrix notation is new to you, then take a look at my book for a complete description (Vince, Mathematics for computer graphics. Springer, Berlin, 2017, [1]).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Reference
Vince JA (2017) Mathematics for computer graphics, 5th edn. Springer, Berlin
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Vince, J. (2018). Matrix Algebra. In: Imaginary Mathematics for Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-94637-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-94637-5_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94636-8
Online ISBN: 978-3-319-94637-5
eBook Packages: Computer ScienceComputer Science (R0)