Abstract
Given a square matrix \(\mathrm{A}\in\mathbb{C}^{n\times n}\), the eigenvalue problem consists in finding a scalar λ (real or complex) and a nonnull vector x such that
Any such λ is called an eigenvalue of A, while x is the associated eigenvector.
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© 2014 Springer-Verlag Berlin Heidelberg
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Quarteroni, A., Saleri, F., Gervasio, P. (2014). Eigenvalues and eigenvectors. In: Scientific Computing with MATLAB and Octave. Texts in Computational Science and Engineering, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45367-0_6
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DOI: https://doi.org/10.1007/978-3-642-45367-0_6
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45366-3
Online ISBN: 978-3-642-45367-0
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