Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota


  • Tianshou ZhouEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_505


The eigenvectors of a square matrix are the nonzero vectors that, after being multiplied by the matrix, either remain proportional to the original vector (i.e., change only in magnitude, not in direction) or become zero. For each eigenvector, the corresponding eigenvalue is the factor by which the eigenvector changes when multiplied by the matrix. The prefix eigen- is adopted from the German word “eigen” for “own” in the sense of a characteristic description. The eigenvectors are sometimes also called characteristic vectors. Similarly, the eigenvalues are also known as characteristic values.

The mathematical expression of this idea is as follows: if A is a square matrix, a nonzero vector \( \upsilon \)
This is a preview of subscription content, log in to check access.

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.School of Mathematics and Computational SciencesSun Yet-Sen UniversityGuangzhouChina