Calculating Nabla w V in General Relativity

  • Context: Graduate 
  • Thread starter Thread starter bres gres
  • Start date Start date
  • Tags Tags
    Algebra Form Nabla
Click For Summary
SUMMARY

The discussion centers on the calculation of the covariant derivative of vector fields in the context of General Relativity, specifically the expression $$\nabla_{V}W$$. Participants clarify that $$W(V)$$ is not a valid expression, as vector fields act as directional derivatives on scalar fields. The distinction between the commutator of vector fields $$[V,W]$$ and the covariant derivatives $$\nabla_{V}W - \nabla_{W}V$$ is emphasized, with the torsion tensor $$T(V,W)$$ defined as $$T(V,W) = \nabla_V W - \nabla_W V - [V,W]$$. The discussion concludes that while torsion can be zero, this does not imply that covariant derivatives are equal to the commutator of vector fields.

PREREQUISITES
  • Understanding of vector fields and their operations in differential geometry
  • Familiarity with covariant derivatives and affine connections
  • Knowledge of torsion tensors and their definitions in General Relativity
  • Proficiency in mathematical notation, particularly in LaTeX for expressing equations
NEXT STEPS
  • Study the properties of covariant derivatives in General Relativity
  • Learn about the implications of torsion in differential geometry
  • Explore the relationship between commutators and covariant derivatives
  • Investigate the role of affine connections in vector calculus on manifolds
USEFUL FOR

Mathematicians, physicists, and students of General Relativity seeking to deepen their understanding of vector field operations and covariant derivatives in the context of differential geometry.

bres gres
Messages
18
Reaction score
1
TL;DR
i try to understand

$$\nabla_{V} W =/ V(W)$$

but get stuck and i read some material online.
in the language of general relativity,we know that we can write
$$\nabla_{V}W $$
in this form such that:
$$\nabla_{V}W = = w^i d ( V^j e_j)/du^i = w^j e^i (V^j e_j ) = W( V)$$
where $$w^i * d/ (du^i) =W$$ will act on the vector V
where $$W = w^i d( ) /du^i $$ and W is a vector as a operator

but in non-torsion free form we know that $$\nabla_{w} V - \nabla_{v} W = [V,W] + T(v,w)$$

where T(v,w) is a torsion tensorwhich implied $$[V,W] =VW-WV = \nabla_{w} V - \nabla_{v}W$$
i just want to know why i am not correct in this derivation since i cannot prove they are NOT equal.
thank you
 
Last edited:
Physics news on Phys.org
##W(V)## where ##W## and ##V## are vector fields does not make any sense. Vector fields are directional derivatives that act on scalar fields. In order to have a directional derivative for vector (or more generally, tensor) fields, you need to introduce a connection. This connection cannot be specified using the commutator of vector fields because it does not satisfy linearity in the direction, which is a condition for an affine connection:
$$
\nabla_{fV}W = f\nabla_V W.
$$
This is not satisfied for ##[V,W]##. The definition of the torsion tensor is that
$$
T(V,W) = \nabla_V W - \nabla_W V - [V,W].
$$
 
  • Like
Likes   Reactions: PeroK
Orodruin said:
##W(V)## where ##W## and ##V## are vector fields does not make any sense. Vector fields are directional derivatives that act on scalar fields. In order to have a directional derivative for vector (or more generally, tensor) fields, you need to introduce a connection. This connection cannot be specified using the commutator of vector fields because it does not satisfy linearity in the direction, which is a condition for an affine connection:
$$
\nabla_{fV}W = f\nabla_V W.
$$
This is not satisfied for ##[V,W]##. The definition of the torsion tensor is that
$$
T(V,W) = \nabla_V W - \nabla_W V - [V,W].
$$

therefore what is ##[V,W]## itself ??
i think it is VW-WV actually
 
##[V,W]## is the vector field such that ##[V,W]f = V(W(f)) - W(V(f))## for all functions ##f##. This is sometimes (sloppily) denoted ##[V,W] = VW - WV##, but this is not the same as ##V(W) - W(V)##, which does not make sense.
 
Orodruin said:
##[V,W]## is the vector field such that ##[V,W]f = V(W(f)) - W(V(f))## for all functions ##f##. This is sometimes (sloppily) denoted ##[V,W] = VW - WV##, but this is not the same as ##V(W) - W(V)##, which does not make sense.
i see
i am watching the video in this link
in 4:37 the presenter expanded the vector in this form and i get confused...
because he let's $$ V(U)=v^i e_i(U^J e_j)$$
since this is what what we understand $$\nabla_{v} U$$ where $$\nabla_{v} U =
v^i e_i(U^j e_j)$$
i cannot see the difference between them
so what is the problem and i try to understand why there are the "same" in the 1 st step
 
Last edited:
i just fix the mistakes in my reply and the question
thank for your help :(

i am copying and pasting the Latex code from somewhere else and i try to modify them
 
Orodruin said:
##W(V)## where ##W## and ##V## are vector fields does not make any sense. Vector fields are directional derivatives that act on scalar fields. In order to have a directional derivative for vector (or more generally, tensor) fields, you need to introduce a connection. This connection cannot be specified using the commutator of vector fields because it does not satisfy linearity in the direction, which is a condition for an affine connection:
$$
\nabla_{fV}W = f\nabla_V W.
$$
This is not satisfied for ##[V,W]##. The definition of the torsion tensor is that
$$
T(V,W) = \nabla_V W - \nabla_W V - [V,W].
$$
do you mean [V,W] can be specified as it satisfy linearity in some direction? why?
i still try to understand what is [V,W] actually that can "link back" to the ##\nabla_V W - \nabla_W V##

i just think the [V,W] implied that the basis vectors are commutative but $$\nabla_V W - \nabla_W V $$ are not

is that correct in general case?

the main thing is i don't understand what makes [V,W] different from $$\nabla_V W - \nabla_W V $$ in the above calculation
 
Last edited:
By definition, torsion is a tensor of type (1, 2) given by ## T(X, Y) = \nabla_X Y - \nabla_Y X -\left[X, Y\right]##. If we assume the condition that ##T=0##, we get ##\nabla_X Y - \nabla_Y X =\left[X, Y\right]##. To see what this implies in terms of components, from the definition we have ##\left[X, Y\right]^i = X^j Y^{i}{}_{,j} - Y^j X^i{}_{,j}## and ##\nabla_X Y - \nabla_Y X = X^j Y^i{}_{;j} - Y^j X^i{}_{;j} = X^j Y^i{}_{,j}+X^j Y^k \Gamma^i{}_{jk} - Y^j X^i{}_{,j}-Y^j X^k \Gamma^i{}_{jk}##. Then ##T=0## implies ##X^j Y^k \Gamma^i{}_{jk}-Y^j X^k \Gamma^i{}_{jk}=X^j Y^k\left(\Gamma^i{}_{jk}-\Gamma^i{}_{kj}\right)=0##. We see that the torsion is zero if and only if the components of the connection are symmetric on the lower two indices.
 
  • Like
Likes   Reactions: vanhees71 and bres gres
Cem said:
By definition, torsion is a tensor of type (1, 2) given by ## T(X, Y) = \nabla_X Y - \nabla_Y X -\left[X, Y\right]##. If we assume the condition that ##T=0##, we get ##\nabla_X Y - \nabla_Y X =\left[X, Y\right]##. To see what this implies in terms of components, from the definition we have ##\left[X, Y\right]^i = X^j Y^{i}{}_{,j} - Y^j X^i{}_{,j}## and ##\nabla_X Y - \nabla_Y X = X^j Y^i{}_{;j} - Y^j X^i{}_{;j} = X^j Y^i{}_{,j}+X^j Y^k \Gamma^i{}_{jk} - Y^j X^i{}_{,j}-Y^j X^k \Gamma^i{}_{jk}##. Then ##T=0## implies ##X^j Y^k \Gamma^i{}_{jk}-Y^j X^k \Gamma^i{}_{jk}=X^j Y^k\left(\Gamma^i{}_{jk}-\Gamma^i{}_{kj}\right)=0##. We see that the torsion is zero if and only if the components of the connection are symmetric on the lower two indices.

this makes sense to me
thank you !
 
  • #10
However, note that torsion being equal to zero still does not mean that ##\nabla_V W## is equal to ##VW## as the title suggests. The former is a vector field (and therefore a first order derivative) whereas the second is a second order differential operator.
 
  • Like
Likes   Reactions: bres gres

Similar threads

  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
1K
Replies
15
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K