### Eigenvalue

**(λ)**
(ratio between a vector and a linear transformation of that vector)

An **Eigenvector** is a non-zero vector which when multiplied by a
specific square matrix
(which performs a linear transformation on the vector),
produces a vector that is the same as that eigenvector multiplied
by a constant. That constant is called the
matrix's **Eigenvalue** (**λ**).
Calculation of an eigenvalue and eigenvector for a given matrix
(transformation) is called **Eigen-Decomposition**.

Eigenvalues and eigenvectors have applications in geometric
transformations, in Quantum Mechanics, and in other physical phenomena.

(*mathematics,physics*)
http://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

http://en.wiktionary.org/wiki/eigenvalue

http://dictionary.obspm.fr/index.php/index.php?showAll=1&formSearchTextfield=eigenvalue

index