Abstract
This chapter introduces and, to a limited extent, solves one of the classical problems associated with linear processes: their decomposition into well-behaved, independent component subprocesses. What is especially noteworthy and exciting about the material is that it uses all of the major concepts introduced so far, including the representation of linear transformations, real and complex inner product spaces, and the theory of determinants. The final theorem of Section 9.3 is as exquisite as any work of art.
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© 1993 Springer Science+Business Media New York
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Valenza, R.J. (1993). Eigenvalues and Eigenvectors. In: Linear Algebra. Undergraduate Texts in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0901-0_9
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DOI: https://doi.org/10.1007/978-1-4612-0901-0_9
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6940-3
Online ISBN: 978-1-4612-0901-0
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