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Scalar vs Eigenvalue - What's the difference?

scalar | eigenvalue |

As nouns the difference between scalar and eigenvalue

is that scalar is (mathematics) a quantity that has magnitude but not direction; compare vector while eigenvalue is (linear algebra) a scalar, \lambda\!, such that there exists a vector x (the corresponding eigenvector) for which the image of x under a given linear operator \rm a\! is equal to the image of x under multiplication by \lambda; ie {\rm a} x = \lambda x\!.

As an adjective scalar

is (mathematics) having magnitude but not direction.

scalar

English

(wikipedia scalar)

Adjective

(-)
  • (mathematics) Having magnitude but not direction
  • (computer science) Consisting of a single value (e.g. integer or string) rather than multiple values (e.g. array)
  • Of, or relating to scale
  • Noun

    (en noun)
  • (mathematics) A quantity that has magnitude but not direction; compare vector
  • (electronics) An amplifier whose output is a constant multiple of its input
  • Anagrams

    * * *

    eigenvalue

    English

    Noun

    (en noun)
  • (linear algebra) A scalar, \lambda\!, such that there exists a vector x (the corresponding eigenvector) for which the image of x under a given linear operator \rm A\! is equal to the image of x under multiplication by \lambda; i.e. {\rm A} x = \lambda x\!
  • ''The eigenvalues \lambda\! of a square transformation matrix \rm M\! may be found by solving \det({\rm M} - \lambda {\rm I}) = 0\! .

    Usage notes

    When unqualified, as in the above example, eigenvalue conventionally refers to a right eigenvalue, characterised by {\rm M} x = \lambda x\! for some right eigenvector x\!. Left eigenvalues, charactarised by y {\rm M} = y \lambda\! also exist with associated left eigenvectors y\!. For commutative operators, the left eigenvalues and right eigenvalues will be the same, and are referred to as eigenvalues with no qualifier.

    Synonyms

    * characteristic root * characteristic value * eigenroot * latent value * proper value

    See also

    * ("eigenvalue" on Wikipedia) * Mathworld article on eigenvalues