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eigenvector
(redirected from Eigenvectors)

   Also found in: Wikipedia 0.06 sec.
(mathematics)eigenvector - A vector which, when acted on by a particular linear transformation, produces a scalar multiple of the original vector. The scalar in question is called the eigenvalue corresponding to this eigenvector.

It should be noted that "vector" here means "element of a vector space" which can include many mathematical entities. Ordinary vectors are elements of a vector space, and multiplication by a matrix is a linear transformation on them; smooth functions "are vectors", and many partial differential operators are linear transformations on the space of such functions; quantum-mechanical states "are vectors", and observables are linear transformations on the state space.

An important theorem says, roughly, that certain linear transformations have enough eigenvectors that they form a basis of the whole vector states. This is why Fourier analysis works, and why in quantum mechanics every state is a superposition of eigenstates of observables.

An eigenvector is a (representative member of a) fixed point of the map on the projective plane induced by a linear map.

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The main purpose is to relate algebraic systems theory [10, 11, 13, 14, 21] (namely, the algebraic description of invariant ordinary differential equations or systems of equations: modes, eigenvectors, basis changes etc.
In short, the two oblong pixel assemblages, representing the fish silhouettes, are converted into two coordinate systems by computing their principal axes or eigenvectors (Noble and Daniel 1988).
These eigenvectors (the German prefix "eigen" means "own" or "individual") describe precisely how that face differs from other stored facial images.
 
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