Originally posted by turin
The tangent bundle (called TQ in the book) of say a 1-D problem is the 1-D manifold of q (some curve), with a flat line tangent to the curve at every point to represent q_dot.
to represent the vector space spanned by q-dot, yes.
The cotangent bundle (calle T*Q in the book) of the same would be the same 1-D manifold but with flat lines attached perpendicular to the curve to represent p.
no, i don t agree with this picture at all. in general, there isn t even any such notion as perpendicularity with things that are not in the tangent space, and sometimes even with things that are int the tangent space.
some GR books like to use a stack of pancakes to represent cotangent vectors, but i never really liked that. so i just say a cotangent vector is a dual vector to a tangent vector, and i don t need to draw a picture at all.
Do I have anything incorrect here? What is a higher product out of a bundle?
like, the tensor product, symmetrized tensor product, or antisymmetrized tensor product of any number of copies of the tangent bundle and the cotangent bundle.
also, you can just have an arbitrary vector bundle that is not built out of the tangent or cotangent bundle at all. just some arbitrary vector space bundle over some manifold. all these bundles admit connections.
I'm a little confused. It still looks like your taking the derivatives with respect to the spacetime coordinates.
I am
What is the capital D on the L.H.S.?
the (covariant) derivative
Are you saying that this is a derivative with respect to the components of the potential?
remember how a derivative works: you have to subtract the value of the thing you are taking the derivative of at two neighbouring points, and then take the limit as these points approach each other.
only thing is, there is no way to subtract one vector from another if they do not live in the same vector space. so a covariant derivative is just a rule that let's you do this. what the rule looks like is completely arbitrary, you can define comparison between neighboring vectors any way you want, as long as you adhere to a few simple axioms: linearity and the Leibniz law for products.
such a linear derivation is called a connection.
no matter what it looks like, i must be able to express it in local coordinates, and that is just what i have done on the right hand side of that equation.