Is the differential dr vec a sensible mathematical object? When doing differential geometry, physicists often use dr vec =dx^i e vec_ i for many different things. For instance, they define the holonomic basis {e vec ′^a} relative to a coordinate system {x′^a} by imposing d vec(r) = dx^′a e vec_a => e vec_a = (partial r vec(r))/(partial x′a) and they compute the quadratic form of the metric ds^2 as d vec(r)*d vec(r) . Computing the differential of a vector field (r vec(r)=x^i e vec(r) i, in this case) feels strange, as in differential geometry differentials are usually considered to be alternating k-forms, so it would only make sense to talk about the differential of a scalar field (aka its exterior derivative). Not only that, the "true" definitions of holonomic bases and ds2 don't use t
Alfredeim
Answered question
2022-09-05
Is the differential a sensible mathematical object? When doing differential geometry, physicists often use
for many different things. For instance, they define the holonomic basis relative to a coordinate system by imposing
and they compute the quadratic form of the metric as . Computing the differential of a vector field ( i, in this case) feels strange, as in differential geometry differentials are usually considered to be alternating k-forms, so it would only make sense to talk about the differential of a scalar field (aka its exterior derivative). Not only that, the "true" definitions of holonomic bases and ds2 don't use this at all. EDIT: in fact, taking the derivative of , or any other vector field, is something we are not allowed to do in a general differentiable manifold without a connection, so we obviously wouldn't define a holonomic basis like that. A holonomic basis would basically be the basis formed by the tangent vectors . After thinking about it, I thought the differential of a vector field might just be
so maybe i means ? How is rigorously defined, otherwise?
Answer & Explanation
Adolfo Lee
Beginner2022-09-06Added 17 answers
You're correct. it's a tensor product. Abstractly, on a vector space V, . Any element of this tensor space defines a map . For example, if , then it defines a map
In particular, given any frame of vector fields, with the dual basis of 1-form , the definition of is
This definition is invariant under change of basis. In particular, the map associated with it is simply the identity map,
If you have a coordinate system , then you can set equal to the coordinate vector fields and . If you have another coordinate system with corresponding coordinate vector fields and dual frame , then
From here, I think it should be straightforward to derive all of the formulas you've written down.