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Semidefinite vs Spectrahedron - What's the difference?

semidefinite | spectrahedron |

In mathematics|lang=en terms the difference between semidefinite and spectrahedron

is that semidefinite is (mathematics) describing a bilinear form, over a vector space, that is either always positive or always negative while spectrahedron is (mathematics) the intersection of the cone of positive semidefinite matrices with an affine-linear space.

As an adjective semidefinite

is (mathematics) describing a bilinear form, over a vector space, that is either always positive or always negative.

As a noun spectrahedron is

(mathematics) the intersection of the cone of positive semidefinite matrices with an affine-linear space.

semidefinite

English

Adjective

(-)
  • (mathematics) Describing a bilinear form, over a vector space, that is either always positive or always negative

    • spectrahedron

    English

    Noun

    (spectrahedra)
  • (mathematics) The intersection of the cone of positive semidefinite matrices with an affine-linear space