Covariant derivative and general relativity

cristo
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I'm not really sure where to put this, so I thought it post it here!

I'm reading through my GR lecture notes, and have come across a comment that has confused me. I quote
Covariant differentiation does not change the character of the object being differentiated; viz, the covariant derivative of a vector is a vector, the covariant derivative of a scalar is a scalar

Now, I don't really see how this is true. For example, consider a scalar field f. The covariant derivative of this is
\nabla_af\equiv\partial_af=\frac{\partial f}{\partial x^a}

But, aren't \partial_af the components of a covector?
 
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I can only assume that they mean an isolated component of a covariant derivative eg \nabla_0f is a scalar if f is scalar, vector if f is vector etc. Which would not be true for a partial derivative.
 
Thanks. So, I would be correct in saying that the covariant derivative of a type (r,s) tensor field is a type (r,s+1) tensor field, right?
 
You betcha! And each covariant component of the (r,s+1) field is an (r,s) field - as is always the case.
 
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Cheers, Dick!
 
robphy said:
Cristo, what is the definition of "covariant differentiation" [in your notes]?
Note, e.g., http://en.wikipedia.org/wiki/Covariant_derivative
and http://www.utsc.utoronto.ca/~harper/Redten/redten/node36.html

He defines the covariant derivative by setting up the situation of two vector fields u and v ona manifold. Then, picking some point P, u determines a flow line passing through P; parametrised by some path parameter s, such that \bold{u}_P=\left.\frac{d}{ds}\right|_{s=s_P}
Suppose Q\neqP is another point on the flowline corresponding to s_Q\neq s_P. Then we write
\bold{v}(s_Q)\equiv\bold{v}_Q, \hspace{2cm} \tilde{\bold{v}}(s_Q)\equiv \tilde{\bold{v}}_{QP} [he actually uses a symbol with two parallel lines over v, like one side of a "norm" sign-- anyway, it means the vector field parallely transported from P, evaluated at Q]
and define the covariant derivative as
\nabla_{\bold{u}}\bold{v}_P=\lim_{s_Q\rightarrow s_P}\frac{\tilde{\bold{v}}(s_Q)-\bold{v}(s_Q)}{s_Q-s_P}
 
in that case, you are evaluating

u^a \nabla_a v^b, which is a vector.
Thus, with the above definition,
cristo said:
the covariant derivative of a vector is a vector
 
Ok, so would I be correct in thinking that whilst \nabla_{\bold{u}}v^b=u^a\nabla_av^b is a vector, \nabla_bv^a is a not a vector, but is a type (1,1) tensor?

I think this makes sense, since clearly u^a is a vector; if \nabla_bv^a is a type (1,1) tensor, then the product of the two will be a vector.
 
  • #10
cristo said:
Ok, so would I be correct in thinking that whilst \nabla_{\bold{u}}v^b=u^a\nabla_av^b is a vector, \nabla_bv^a is a not a vector, but is a type (1,1) tensor?

I think this makes sense, since clearly u^a is a vector; if \nabla_bv^a is a type (1,1) tensor, then the product of the two will be a vector.

Yes.
Of course, to do the "product", you'd do (u^b) (\nabla_b v^a)= u^b\nabla_b v^a.
 
  • #11
robphy said:
Yes.
Of course, to do the "product", you'd do (u^b) (\nabla_b v^a)= u^b\nabla_b v^a.
Yes. Thanks for your help!
 
  • #12
Yeah, of course they meant \nabla_{\bold{u}}\bold{T} in which case the extra index is contracted. Duh.
 
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