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eigenvector
[ ahy-guhn-vek-ter ]
eigenvector
/ ˈaɪɡənˌvɛktə /
noun
- maths physics a vector x satisfying an equation A x = λ x , where A is a square matrix and λ is a constant
Word History and Origins
Origin of eigenvector1
Example Sentences
A key innovation in the study is the introduction of a new weighting function based on the phase information of the first eigenvector -- a special vector that, when multiplied by the matrix, results in a scaled version of the original vector.
In general, a ray of points emanating from the origin can be stretched and rotated by a transformation encoded by a matrix, but in a special direction called the eigenvector, the transformation is limited to stretching or shrinking.
The Perron-Frobenius theorem states that for a square matrix with all positive entries, there is a unique largest real eigenvalue and that its corresponding eigenvector has positive x and y coordinates.
The recent Wired article notes that the Stitch Fix data science team uses “something called eigenvector decomposition, a concept from quantum mechanics, to tease apart the overlapping ‘notes’ in an individual’s style.”
As many people pointed out on Twitter, eigenvector decomposition is just a regular old linear algebra technique.
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