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The first is that vectors whose components are covariant (called covectors or 1-forms) actually pull back under smooth functions, meaning that the operation assigning the space of covectors to a smooth manifold is actually a contravariant functor. Likewise, vectors whose components are contravariant push forward under smooth mappings, so the ...
Consequently, a general curvilinear coordinate system has two sets of basis vectors for every point: {b 1, b 2, b 3} is the contravariant basis, and {b 1, b 2, b 3} is the covariant (a.k.a. reciprocal) basis. The covariant and contravariant basis vectors types have identical direction for orthogonal curvilinear coordinate systems, but as usual ...
In particular, if is a diffeomorphism between open subsets of and , viewed as a change of coordinates (perhaps between different charts on a manifold ), then the pullback and pushforward describe the transformation properties of covariant and contravariant tensors used in more traditional (coordinate dependent) approaches to the subject.
Such charts allow the standard vector basis (,,) on to be pulled back to a vector basis on the tangent space of . This is done as follows. This is done as follows. Given some arbitrary real function f : M → R {\displaystyle f:M\to \mathbb {R} } , the chart allows a gradient to be defined:
If ,, are the contravariant basis vectors in a curvilinear coordinate system, with coordinates of points denoted by (,,), then the gradient of the tensor field is given by (see [3] for a proof.) = From this definition we have the following relations for the gradients of a scalar field ϕ {\displaystyle \phi } , a vector field v , and a second ...
The basis vectors shown above are covariant basis vectors (because they "co-vary" with vectors). In the case of orthogonal coordinates, the contravariant basis vectors are easy to find since they will be in the same direction as the covariant vectors but reciprocal length (for this reason, the two sets of basis vectors are said to be reciprocal ...
As before, , are covariant basis vectors and b i, b j are contravariant basis vectors. Also, let (e 1, e 2, e 3) be a background, fixed, Cartesian basis. A list of orthogonal curvilinear coordinates is given below.
A 2-basis of G is a basis of C(G) with the property that, for each edge e in G, at most two basis vectors have nonzero coordinates in the position corresponding to e. Then, stated more formally, Mac Lane's characterization is that the planar graphs are exactly the graphs that have a 2-basis.