covariant


Also found in: Dictionary, Thesaurus, Encyclopedia, Wikipedia.

covariant

(kō-vā′rē-ănt)
In mathematics, pert. to variation of one variable with another so that a specified relationship is unchanged.
References in periodicals archive ?
mu]:ab] and [tau] is the set of corresponding contravariant or covariant 2-tensors [g.
The incidence algebra construction is functorial in two ways: covariant and contravariant.
Experiments with the splash-blended fuels (with RON, octane sensitivity, and HoV covariant with ethanol content) produced combustion phasing trends that were consistent with the RON levels for the three fuels.
Covariance analysis (Ancova) using age as factor and IQ as covariant (Table 3), aiming to minimize possible effects of IQ over the performance in TLN-C, reveled significant effect of age on all subtests, except on "receptive speech".
We have tried to precisely state and prove the main results regarding the derivation of the Hilbert tensor from the invariance of the action in generally covariant theories.
Hence, the covariant and contravariant components of the metric tensor on S are given by
g]) admits an ACV whose covariant constant tensor K is given by
The effect of A on the deformation dynamics at the global level can be formulated by comparing clockwise and counterclockwise covariant derivatives, or the quantity known as the field stress tensor [F.
n] (n [greater than or equal to] 3) without boundary the associated scalars and the stucture tensor are such that [alpha] + b + 2c [less than or equal to] 0 and dD(X, X) [less than or equal to] 0 for all X, then a projective Killing vector field has vanishing covariant derivative and if [alpha] + b + 2c < 0 and dD(X, X) < 0, then there does not exist any non-zero projective Killing vector field in this manifold.
Groups' posttest means were compared with ANCOVA, with the pretest as the covariant.
v] is collinear with V), but keeping the algebraic property of diagonalisation of tensors, if expressed in covariant components.
Such local features basically consist of detecting interest features in an affine covariant manner and describing the characteristic structure of a local image region around the detected features.