So, I have not had time, or have been persuading myself that I don’t have time, to do what I originally intended to do with this blog. In lieu of making the (not inconsiderable) effort to explain technical stuff in ordinary language, I will occasionally post solutions to math/physics problems I have been doing. Perhaps with a little explanation thrown in.
Today’s problem is Problem 2.1(1) from Frankel’s The Geometry of Physics:
If v is a vector and is a covector, compute directly in coordinates that
. (Here V and U are the open sets associated with charts on the manifold.) What happens if w is another vector and one considers
?
The first part is a matter of applying the formulae for coordinate transformations for vectors and covectors. For covectors, . For vectors,
.
Starting from the left hand side of what we want to prove:
This shows that the scalar you get from letting a vector ‘eat’ a covector is coordinate independent. A covector is often defined as an entity that maps vectors to scalars. This is a coordinate independent definition — if you change coordinate systems, the same vector-covector combination should give you the same scalar. So it’s not at all surprising that : computing that scalar in the coordinate system V should give us the same result as computing it in U.
The second part of the question asks if the ’scalar product’ of two vectors, , is likewise independent of coordinate systems. Using the coordinate transformation formula for vectors, we get the following:
So is not coordinate independent. This, again, is not surprising. Unlike covectors, vectors are not defined as objects that take in other vectors as arguments and spit out a scalar. So we would not expect the coordinate independence of the above vector-covector combination to hold for vector-vector combinations.