Covariant and Contravariant Bases
The basis vectors, gradients, and scale factors are all interrelated within a coordinate system by two methods:
- the basis vectors are unit tangent vectors along the coordinate curves:
- the basis vectors are unit normal vectors to the coordinate surfaces:
So depending on the method by which they are built, for a general curvilinear coordinate system there are two sets of basis vectors for every point: {b1, b2, b3} is the covariant basis, and {b1, b2, b3} is the contravariant basis.
A vector v can be given in terms either basis, i.e.,
The basis vectors relate to the components by
and
where g is the metric tensor (see below).
A vector is covariant or contravariant if, respectively, its components are covariant (lowered indices, written vk) or contravariant (raised indices, written vk). From the above vector sums, it can be seen that contravariant vectors are represented with covariant basis vectors, and covariant vectors are represented with contravariant basis vectors.
A key convention in the representation of vectors and tensors in terms of indexed components and basis vectors is invariance in the sense that vector components which transform in a covariant manner (or contravariant manner) are paired with basis vectors that transform in a contravariant manner (or covariant manner).
Read more about this topic: Curvilinear Coordinates, Orthogonal Curvilinear Coordinates in 3d
Famous quotes containing the word bases:
“The information links are like nerves that pervade and help to animate the human organism. The sensors and monitors are analogous to the human senses that put us in touch with the world. Data bases correspond to memory; the information processors perform the function of human reasoning and comprehension. Once the postmodern infrastructure is reasonably integrated, it will greatly exceed human intelligence in reach, acuity, capacity, and precision.”
—Albert Borgman, U.S. educator, author. Crossing the Postmodern Divide, ch. 4, University of Chicago Press (1992)