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  2. Covariant transformation - Wikipedia

    en.wikipedia.org/wiki/Covariant_transformation

    The explicit form of a covariant transformation is best introduced with the transformation properties of the derivative of a function. Consider a scalar function f (like the temperature at a location in a space) defined on a set of points p, identifiable in a given coordinate system , =,, … (such a collection is called a manifold).

  3. Covariance and contravariance of vectors - Wikipedia

    en.wikipedia.org/wiki/Covariance_and_contra...

    Because the components of the linear functional α transform with the matrix A, these components are said to transform covariantly under a change of basis. The way A relates the two pairs is depicted in the following informal diagram using an arrow. A covariant relationship is indicated since the arrows travel in the same direction:

  4. List of formulas in Riemannian geometry - Wikipedia

    en.wikipedia.org/wiki/List_of_formulas_in...

    Download as PDF; Printable version; ... The covariant derivative of a function ... Note that this transformation formula is for the mean curvature vector, ...

  5. Principle of covariance - Wikipedia

    en.wikipedia.org/wiki/Principle_of_covariance

    The transformations between frames are all arbitrary (invertible and differentiable) coordinate transformations. The covariant quantities are scalar fields, vector fields, tensor fields etc., defined on spacetime considered as a manifold. Main example of covariant equation is the Einstein field equations.

  6. General covariance - Wikipedia

    en.wikipedia.org/wiki/General_covariance

    The relationship between general covariance and general relativity may be summarized by quoting a standard textbook: [3] Mathematics was not sufficiently refined in 1917 to cleave apart the demands for "no prior geometry" and for a geometric, coordinate-independent formulation of physics.

  7. Covariance function - Wikipedia

    en.wikipedia.org/wiki/Covariance_function

    In probability theory and statistics, the covariance function describes how much two random variables change together (their covariance) with varying spatial or temporal separation. For a random field or stochastic process Z ( x ) on a domain D , a covariance function C ( x , y ) gives the covariance of the values of the random field at the two ...

  8. General covariant transformations - Wikipedia

    en.wikipedia.org/wiki/General_covariant...

    In physics, general covariant transformations are symmetries of gravitation theory on a world manifold. They are gauge transformations whose parameter functions are vector fields on X {\displaystyle X} .

  9. Hom functor - Wikipedia

    en.wikipedia.org/wiki/Hom_functor

    Yoneda's lemma implies that every natural transformation between Hom functors is of this form. In other words, the Hom functors give rise to a full and faithful embedding of the category C into the functor category Set C op (covariant or contravariant depending on which Hom functor is used).