Inertial and non inertial frames

  • Thread starter Thread starter bgq
  • Start date Start date
  • Tags Tags
    Frames Inertial
Click For Summary
In classical mechanics, inertial frames are defined relative to an absolute rest frame, while non-inertial frames are those that accelerate with respect to it. In special relativity (SR), there is no absolute rest frame, leading to questions about why some frames are considered inertial and others not. Acceleration is absolute and can be measured, distinguishing inertial from non-inertial frames, but this raises the question of the reference frame for such measurements. The discussion highlights the ambiguity in identifying inertial frames in the absence of an absolute reference and suggests that general relativity (GR) may provide clarity by linking inertial frames to mass distribution in the universe. The conversation ultimately emphasizes the complexity of defining inertial frames within the frameworks of classical physics, SR, and GR.
  • #151
TrickyDicky said:
If what you mean is that you get a matrix of partial derivatives, that is right, but I believe that is equivalent to a directional derivative, you don't need any connection for that(this is flat space).

You're missing my point still. I'm trying to tell you that a directional derivative, while true it doesn't need a connection, is still entirely different from what you think it is. Or at the least, you're applying it inconsistently.

Let's go back to 3d. What is the directional derivative in 3d? ##a \cdot \partial V##, for some field ##V## and some direction ##a##. In index notation, this is ##a^i \partial_i V^j##.

But there are two derivatives that aren't directional. ##\partial \cdot V## and ##\partial \times V##. They are effectively treated with one expression, one 2-index tensor: ##\partial_i V^j##.

You keep effectively saying the latter are directional. They're not. When you introduce a connection and ##\partial## is no longer equal to ##\nabla##, that doesn't change. Only the first expression, with some explicit direction ##a##, is directional. The second expression is not. Both useful things, but not the same.
 
Physics news on Phys.org
  • #152
TrickyDicky said:
That's a first, I only know the covariant derivative of a vector field, and in general manifolds it is a 2-index tensor.
See Carroll's 3.30 and the nearby material. There he defines the covariant derivative of an arbitrary tensor along a path, which is a tensor of the same indices as the tensor for which you are taking the derivative. Even if you were not previously aware of it, it should seem familiar since it is closely tied to parallel transport.

TrickyDicky said:
Some people might have been misled by the wikipage on 4-acceleration where they call covariant derivative the formula for the absolute derivative that you use in your first formula above.
Carroll calls it a covariant derivative also, so the term "absolute derivative" is by no means universal. Since the Wikipedia page expanded the formula there should have been no confusion about what was being discussed and what rank tensor it was.
 
  • #153
TrickyDicky said:
Man, finally it dawns on you I was referring to a vector field, what else would you take the covariant derivative of in curved space (like GR's)?, that is the difference with SR, in flat spacetime the covariant derivative reduces to a simple directional derivative and you get another 4-vector.

I don't know why you say that. In SR (using Minkowsky coordinates), the formula for covariant derivative reduces to

\nabla_\mu V^\nu = \partial_\mu V^\nu

That's not a 4-vector, it's a [1,1] tensor. There is no distinction between SR and GR on this point.

I just can't make out how so many people can misunderstand this when I was specifically speaking about the difference SR/GR, and specifically talking about the "covariant derivative" of a vector field, we weren't at any moment talking about the tangent space of vector uniquely because at that space it makes no sense to talk about the difference SR/GR, and besides as I said covariant derivatives are always of vector fields, with the only caveat that in the flat special case it happens to be equivalent to a directional derivative (the Christoffel symbols vanish), and the result is another vector. But in the general manifold case the result is a order 2 tensor.

Well, my participation started when Dr. Somebody wrote down the usual equations for 4-velocity and 4-acceleration, and you said he was wrong.

I still don't agree with what you're saying. You talk about the difference between SR and GR, but everything mentioned is pretty much the same in GR and SR. The difference is that in SR it is always possible to choose coordinates so that \Gamma^\nu_{\mu \lambda} is always zero. But it's still the case that if you choose different coordinates (for instance, accelerated coordinates or spherical polar coordinates), the \Gamma coefficients will be nonzero.
 
  • #154
stevendaryl said:
I don't know why you say that. In SR (using Minkowsky coordinates), the formula for covariant derivative reduces to

\nabla_\mu V^\nu = \partial_\mu V^\nu

That's not a 4-vector, it's a [1,1] tensor. There is no distinction between SR and GR on this point.
Well, my participation started when Dr. Somebody wrote down the usual equations for 4-velocity and 4-acceleration, and you said he was wrong.

I still don't agree with what you're saying. You talk about the difference between SR and GR, but everything mentioned is pretty much the same in GR and SR. The difference is that in SR it is always possible to choose coordinates so that \Gamma^\nu_{\mu \lambda} is always zero. But it's still the case that if you choose different coordinates (for instance, accelerated coordinates or spherical polar coordinates), the \Gamma coefficients will be nonzero.
My understanding is that the covariant derivative of a vector field generalizes the directional derivative, and it is always in the direction of a certain vector so it can't be simply the formula for the partials derivatives of the components of a vector, that has
always the coordinate directions.
 
Last edited:
  • #155
Muphrid said:
You're missing my point still. I'm trying to tell you that a directional derivative, while true it doesn't need a connection, is still entirely different from what you think it is. Or at the least, you're applying it inconsistently.

Let's go back to 3d. What is the directional derivative in 3d? ##a \cdot \partial V##, for some field ##V## and some direction ##a##. In index notation, this is ##a^i \partial_i V^j##.

But there are two derivatives that aren't directional. ##\partial \cdot V## and ##\partial \times V##. They are effectively treated with one expression, one 2-index tensor: ##\partial_i V^j##.

You keep effectively saying the latter are directional. They're not. When you introduce a connection and ##\partial## is no longer equal to ##\nabla##, that doesn't change. Only the first expression, with some explicit direction ##a##, is directional. The second expression is not. Both useful things, but not the same.
In fact I don't think the latter is directional, what you seem to be missing is that it is not actually a covariant derivative, that's simply the matrix of partial derivatives of a vector, not of a vector field, in flat space, a cartesian tensor.
 
  • #156
stevendaryl said:
You talk about the difference between SR and GR, but everything mentioned is pretty much the same in GR and SR. The difference is that in SR it is always possible to choose coordinates so that \Gamma^\nu_{\mu \lambda} is always zero. But it's still the case that if you choose different coordinates (for instance, accelerated coordinates or spherical polar coordinates), the \Gamma coefficients will be nonzero.
Sure , that's because \Gamma^\nu_{\mu \lambda} is not a tensor and therefore it can be zero in certain coordinates and not in others, and that is the same in SR and in GR. In fact I was only considering Cartesian coordinates for the SR case, so that might have added misunderstandings.

The fact is that DrGreg's post seemed to be referring to vectors at a point rather than vector fields, and I mistakenly thought he was referring to vector fields, that should close the case wrt to that post.
 
  • #157
TrickyDicky said:
In fact I don't think the latter is directional, what you seem to be missing is that it is not actually a covariant derivative, that's simply the matrix of partial derivatives of a vector, not of a vector field, in flat space, a cartesian tensor.

First, in ##\partial_i V^j##, ##V## is still a vector field.

Second, just what did you mean when you said this?

I just can't make out how so many people can misunderstand this when I was specifically speaking abou the difference SR/GR, and specifically talking about the "covariant derivative" of a vector field, we weren't at any moment talking about the tangent space of vector uniquely because at that space it makes no sense to talk about the difference SR/GR, and besides as I said covariant derivatives are always of vector fields, with the only caveat that in the flat special case it happens to be equivalent to a directional derivative (the Christoffel symbols vanish), and the result is another vector. But in the general manifold case the result is a order 2 tensor.

Quite frankly, it's up to you to tell us what you mean. Either you mean ##a^\mu \nabla_\mu V^\nu## or you mean ##\nabla_\mu V^\nu##. But my statement still stands: going from flat space, Cartesian coordinates is not going to make the former become the latter, is not going to make the analogue of a directional derivative (which still results in a vector field) become this rank-2 tensor.
 
  • #158
stevendaryl said:
I think you are confused. A vector is a special case of a tensor. A vector equation is "coordinate free" in exactly the same sense that a tensor equation is (since it is) a tensor equation.

An important distinction is between a vector and the n-tuple of components of the vector. The former is coordinate-independent, while the latter is coordinate-dependent.

You are of course right, I was thinking about the basis dependency of the components and I ended up writing a misleading statement about vector equations which are of course invariant under linear transformations.
The distinction I was trying to make between 1-tensors and higher order tensors was because I think that to deal with curvature(nonlinearity) like in GR and extend the invariance from linear to nonlinear transformations one needs the higher than one-index tensors that are explicitly multilinear mappings.
 
  • #159
I managed to track back the initial disagreement:

Quote by TrickyDicky

you specifically linked to the wikipage where it says that in GR 4-acceleration is the covariant derivative of 4-velocity wrt proper time, that is a rank 2- tensor.

DaleSpam said:
No, look more carefully. It is given as a rank-1 tensor, A^\lambda.

And then

DaleSpam said:
Carroll calls it a covariant derivative also, so the term "absolute derivative" is by no means universal. Since the Wikipedia page expanded the formula there should have been no confusion about what was being discussed and what rank tensor it was.

Apparently everyone has agreed that the covariant derivative of the 4-velocity vector field must be a higher rank tensor field, in this case a (1,1) or rank-2 tensor (except in the commented special case of flat space when not using curved coordinates in which case is a purely vector derivative).
So I'm still puzzled as to why it was denied in the above quote, even if in the next quote it is apparently acknowledged that the formula used in the wikipedia page is equivalent to that of a covariant derivative according to Carroll.
I'm also still waiting for someone to explain to me why DrGreg's post claims that "in any coordinate system in GR or SR, inertial or non-inertial, ... the 4-acceleration A are defined by
\begin{align}<br /> <br /> A^\alpha &amp;= \frac{dU^\alpha}{d\tau} + \Gamma^\alpha_{\beta \gamma} U^\beta U^\gamma<br /> \end{align}
... A are 4-vectors, i.e. rank-1 tensors.

All of the above is true in both SR and GR, in inertial or non-inertial coordinates."

when it has been apparently agreed by many that in the flat case with curvilinear coordinates and in the curved manifold case the Chistoffel symbols can't be set to zero so the RHS of the formula is clearly a 2-rank tensor.
Thanks
 
  • #160
TrickyDicky said:
Apparently everyone has agreed that the covariant derivative of the 4-velocity vector field must be a higher rank tensor field, in this case a (1,1) or rank-2 tensor (except in the commented special case of flat space when not using curved coordinates in which case is a purely vector derivative).

As I've repeatedly tried to point out to you, this is not true. Why do you keep saying this? You keep failing to appreciate the difference between a directional derivative (which preserves the rank of the tensor it acts on) and the "ordinary" covariant derivative (which increases the rank). This is true in both curved space and in flat space. The only difference is that in flat space, cartesian coordinates, the covariant derivative ##\nabla## is also equal to ##\partial##, the vector partial derivative.

So I'm still puzzled as to why it was denied in the above quote, even if in the next quote it is apparently acknowledged that the formula used in the wikipedia page is equivalent to that of a covariant derivative according to Carroll.
I'm also still waiting for someone to explain to me why DrGreg's post claims that "in any coordinate system in GR or SR, inertial or non-inertial, ... the 4-acceleration A are defined by
\begin{align}<br /> <br /> A^\alpha &amp;= \frac{dU^\alpha}{d\tau} + \Gamma^\alpha_{\beta \gamma} U^\beta U^\gamma<br /> \end{align}
... A are 4-vectors, i.e. rank-1 tensors.

All of the above is true in both SR and GR, in inertial or non-inertial coordinates."

when it has been apparently agreed by many that in the flat case with curvilinear coordinates and in the curved manifold case the Chistoffel symbols can't be set to zero so the RHS of the formula is clearly a 2-rank tensor.
Thanks

Because what's written is ##a^\alpha = u^\beta \nabla_\beta u^\alpha##, a directional covariant derivative, and the RHS is clearly rank-1. There's only one free index! Setting the Christoffel symbols to zero doesn't change the rank of the result. You seem very confused on this point.

The notation may be misleading when talking about the velocity and acceleration vectors of a trajectory, but if they happen to be fields, then this notation is perfectly valid.
 
  • #161
Muphrid said:
As I've repeatedly tried to point out to you, this is not true. Why do you keep saying this? You keep failing to appreciate the difference between a directional derivative (which preserves the rank of the tensor it acts on) and the "ordinary" covariant derivative (which increases the rank). This is true in both curved space and in flat space. The only difference is that in flat space, cartesian coordinates, the covariant derivative ##\nabla## is also equal to ##\partial##, the vector partial derivative.
This is quite amazing, you have drscribed what I wrote in slightly different words and yet you claim it is not true.


Because what's written is ##a^\alpha = u^\beta \nabla_\beta u^\alpha##, a directional covariant derivative, and the RHS is clearly rank-1. There's only one free index! Setting the Christoffel symbols to zero doesn't change the rank of the result. You seem very confused on this point.
Your expression is different to the one DrGreg wrote.
Also, would you mind giving the more widely used name of what you are calling "directional covariant derivative"?
 
  • #162
Can you apply the directional covariant derivative to the 4-velocity vector field in GR?
 
  • #163
TrickyDicky said:
This is quite amazing, you have drscribed what I wrote in slightly different words and yet you claim it is not true.

Then let me highlight, in no uncertain terms, what I disagree with:

Apparently everyone has agreed that the covariant derivative of the 4-velocity vector field must be a higher rank tensor field, in this case a (1,1) or rank-2 tensor (except in the commented special case of flat space when not using curved coordinates in which case is a purely vector derivative).

I've tried to show over several posts that the distinction you think exists here does not exist. Even in the flat space, cartesian coordinates case, the result does not require a different number of indices to express. Perhaps that is not what you're saying here, but you're still implying that flat space, cartesian coordinates, is somehow different from the more general case when it isn't.

Your expression is different to the one DrGreg wrote.
Also, would you mind giving the more widely used name of what you are calling "directional covariant derivative"?

The use of the connection is in common, and that is at issue when you said,

$$A^\alpha = \frac{dU^\alpha}{d\tau} + \Gamma^{\alpha}_{\beta \gamma} U^\beta U^\gamma$$

when it has been apparently agreed by many that in the flat case with curvilinear coordinates and in the curved manifold case the Chistoffel symbols can't be set to zero so the RHS of the formula is clearly a 2-rank tensor.
Thanks

Under no circumstances is the right-hand side of this expression a rank-2 tensor. This is obvious for the ##d/d\tau## term, and two indices are contracted for the Christoffel symbol term.

I'm merely using "directional" to be descriptive. If there's a more conventional name for it, I'm all for using it. Nevertheless, you still don't seem to appreciate that ##u^\alpha \nabla_\alpha## is a scalar differential operator (it always preserves rank) while ##\nabla_\alpha## is not and that this behavior doesn't change based on flat vs. curved, cartesian vs. curvillinear coordinates.
 
  • #164
TrickyDicky said:
Apparently everyone has agreed that the covariant derivative of the 4-velocity vector field must be a higher rank tensor field, in this case a (1,1) or rank-2 tensor
There are at least two related but different operations referred to by the term "covariant derivative". One is the one you mention here, and the other is the one Carroll describes in eq 3.30 and others call an absolute derivative. This other one is the one that applies to a covariant derivative taken over a specific path, such as when describing the value measured by an accelerometer.

TrickyDicky said:
So I'm still puzzled as to why it was denied in the above quote
It was denied because what you said was wrong. You said, "you specifically linked to the wikipage where it says that in GR 4-acceleration is the covariant derivative of 4-velocity wrt proper time, that is a rank 2- tensor". This is clearly wrong since the wikipage I linked to said that the 4-acceleration was a rank-1 tensor, and unambiguously gave the correct expression that it was referring to by the term "covariant derivative".

TrickyDicky said:
I'm also still waiting for someone to explain to me why DrGreg's post claims that "in any coordinate system in GR or SR, inertial or non-inertial, ... the 4-acceleration A are defined by
\begin{align}<br /> <br /> A^\alpha &amp;= \frac{dU^\alpha}{d\tau} + \Gamma^\alpha_{\beta \gamma} U^\beta U^\gamma<br /> \end{align}
... A are 4-vectors, i.e. rank-1 tensors.

All of the above is true in both SR and GR, in inertial or non-inertial coordinates."

when it has been apparently agreed by many that in the flat case with curvilinear coordinates and in the curved manifold case the Chistoffel symbols can't be set to zero so the RHS of the formula is clearly a 2-rank tensor.
Who agreed with that? The RHS is clearly never a rank-2 tensor. It does not matter if the coordinates are curvilinear or straight or if the manifold is flat or curved. The RHS is always a rank-1 tensor, aka a vector.

Perhaps you can explain why you think otherwise, noting the number and placement of indices and recalling the Einstein summation convention when covariant and contravariant indices have the same variable.
 
Last edited:
  • #165
DaleSpam said:
There are at least two related but different operations referred to by the term "covariant derivative". One is the one you mention here, and the other is the one Carroll describes in eq 3.30 and others call an absolute derivative. This other one is the one that applies to a covariant derivative taken over a specific path, such as when describing the value measured by an accelerometer.

It was denied because what you said was wrong. You said, "you specifically linked to the wikipage where it says that in GR 4-acceleration is the covariant derivative of 4-velocity wrt proper time, that is a rank 2- tensor". This is clearly wrong since the wikipage I linked to said that the 4-acceleration was a rank-1 tensor, and unambiguously gave the correct expression that it was referring to by the term "covariant derivative".

Who agreed with that? The RHS is clearly never a rank-2 tensor. It does not matter if the coordinates are curvilinear or straight or if the manifold is flat or curved. The RHS is always a rank-1 tensor, aka a vector.

Perhaps you can explain why you think otherwise, noting the number and placement of indices and recalling the Einstein summation convention when covariant and contravariant indices have the same variable.
I always thought "covariant derivative" was only related to the operation that produced one higher order tensors. That's why, and so I was supposing that like it is often the case the indices were wrong in the wikipedia page.
In any case what I am saying is that in the curved manifold GR case, the covariant derivative of a vector field is a 2-index tensor, so the expression in the 4-acceleration page in which the indices cancel cannot be a covariant derivative.
 
  • #166
TrickyDicky said:
I always thought "covariant derivative" was only related to the operation that produced one higher order tensors. That's why, and so I was supposing that like it is often the case the indices were wrong in the wikipedia page.
In any case what I am saying is that in the curved manifold GR case, the covariant derivative of a vector field is a 2-index tensor, so the expression in the 4-acceleration page in which the indices cancel cannot be a covariant derivative.

My interpretation is that the covariant derivative, as a differential operator, will increase the rank of whatever it acts on regardless of whether the space itself is curved or flat, in cartesian coordinates or other coordinates. Do you understand this is one aspect of what I'm saying? Do you agree that this is the case?
 
  • #167
Muphrid said:
Under no circumstances is the right-hand side of this expression a rank-2 tensor. This is obvious for the ##d/d\tau## term, and two indices are contracted for the Christoffel symbol term.

I'm merely using "directional" to be descriptive. If there's a more conventional name for it, I'm all for using it. Nevertheless, you still don't seem to appreciate that ##u^\alpha \nabla_\alpha## is a scalar differential operator (it always preserves rank) while ##\nabla_\alpha## is not and that this behavior doesn't change based on flat vs. curved, cartesian vs. curvillinear coordinates.
I see that, perhaps I should have said "the RHS should be" rather than is, to avoid problems, but what I don't know is why you keep mixing what you call scalar diff. op. which is a directional derivative, with its generalization for spaces that require a connection, the covariant derivative.
 
  • #168
Muphrid said:
My interpretation is that the covariant derivative, as a differential operator, will increase the rank of whatever it acts on regardless of whether the space itself is curved or flat, in cartesian coordinates or other coordinates. Do you understand this is one aspect of what I'm saying? Do you agree that this is the case?
No, because at least in differential geometry the covariant derivative only justification is to operate when vector spaces in different points of a manifold require a connection. You don't need a connection in flat space, where the tangent vector space coincides with the manifold.
 
  • #169
The terminology used varies between sources and conventions. Sometimes, Covariant Derivative can also mean directional covariant derivative...sometimes one uses the term "total covariant derivative" (usually denoted with a big D) to mean the same thing.
 
  • #170
TrickyDicky said:
No, because at least in differential geometry the covariant derivative only justification is to operate when vector spaces in different points of a manifold require a connection. You don't need a connection in flat space, where the tangent vector space coincides with the manifold.

The covariant derivative exists even in spaces without a connection. It just coincides with ##\partial##, the vector derivative.

I see that, perhaps I should have said "the RHS should be" rather than is, to avoid problems, but what I don't know is why you keep mixing what you call scalar diff. op. which is a directional derivative, with its generalization for spaces that require a connection, the covariant derivative.

See above. The directional derivative of a space without a connection does not generalize to the covariant derivative in spaces with a connection.

Space without a connection has the following two differential operators:
1a) Vector (increases rank by 1): ##\partial_i X^j##
1b) Scalar (does not change rank): ##Y^i \partial_i X^j##, for some vector ##Y^i##.

Space with a connection has the following two differential operators:
2a) Vector (increases rank by 1): ##\nabla_\alpha X^\beta##
2b) Scalar (does not change rank): ##Y^\alpha \nabla_\alpha X^\beta##, for some vector ##Y^\alpha##.

Operator (2a) is the generalization of operator (1a). Operator (2b) is the generalization of operator (1b). Do you agree or disagree?

Do you agree that the scalar operators could both equally be called "directional"?

Do you agree that (2a) is the covariant derivative, which is not the generalization of the directional derivative (1b)?
 
  • #171
Muphrid said:
Then let me highlight, in no uncertain terms, what I disagree with:



I've tried to show over several posts that the distinction you think exists here does not exist. Even in the flat space, cartesian coordinates case, the result does not require a different number of indices to express. Perhaps that is not what you're saying here, but you're still implying that flat space, cartesian coordinates, is somehow different from the more general case when it isn't.
Well here I think you are referring to the Jacobian matrix of a vector valued function which has order two obviously, but I have not seen it called a covariant derivative.
 
  • #172
Muphrid said:
The covariant derivative exists even in spaces without a connection. It just coincides with ##\partial##, the vector derivative.



See above. The directional derivative of a space without a connection does not generalize to the covariant derivative in spaces with a connection.

Space without a connection has the following two differential operators:
1a) Vector (increases rank by 1): ##\partial_i X^j##
1b) Scalar (does not change rank): ##Y^i \partial_i X^j##, for some vector ##Y^i##.

Space with a connection has the following two differential operators:
2a) Vector (increases rank by 1): ##\nabla_\alpha X^\beta##
2b) Scalar (does not change rank): ##Y^\alpha \nabla_\alpha X^\beta##, for some vector ##Y^\alpha##.

Operator (2a) is the generalization of operator (1a). Operator (2b) is the generalization of operator (1b). Do you agree or disagree?

Do you agree that the scalar operators could both equally be called "directional"?

Do you agree that (2a) is the covariant derivative, which is not the generalization of the directional derivative (1b)?
No, I don't , I find your terminology very confusing, and too far from the standard definitions in differential geometry or even in the wikipedia. Take a look at the wikipedia page on covariant derivative, it explicitly says that the covariant derivative is a generalization of the directional derivative for spaces that require a connection.

In any case we should agree about the underlying concepts, if not about the notation, but I'm finding it frankly tough in this forum context.
 
  • #173
TrickyDicky said:
You don't need a connection in flat space, where the tangent vector space coincides with the manifold.
It is true that you don't NEED a connection in flat space, but you can still have one, a trivial connection with all the Christoffel symbols equal to 0. So a covariant derivative is perfectly well defined in flat space just as in curved spaces. It does the same thing, wrt the rank of the tensor, in both curved and flat space.
 
  • #174
TrickyDicky said:
Take a look at the wikipedia page on covariant derivative, it explicitly says that the covariant derivative is a generalization of the directional derivative for spaces that require a connection.
This is indeed, more or less, how you will see it defined in proper riemannian geometry texts.
 
  • #175
TrickyDicky said:
No, I don't , I find your terminology very confusing, and too far from the standard definitions in differential geometry or even in the wikipedia. Take a look at the wikipedia page on covariant derivative, it explicitly says that the covariant derivative is a generalization of the directional derivative for spaces that require a connection.

In any case we should agree about the underlying concepts, if not about the notation, but I'm finding it frankly tough in this forum context.

Okay, I see wikipedia explicitly uses a dummy vector (they call it ##u##, I've called it ##Y## a couple posts ago) and does indeed define the covariant derivative as the generalization of the directional derivative. And that's fine. It's by no means universal. I have Alcubierre's book on 3+1 relativity in front of me, and it defines ##\nabla_\alpha## as the covariant derivative, a definition which is decidedly not the generalization of the directional derivative. Honestly, it doesn't bother me to say they're both so inextricably related that people use the same term for one or the other almost at will.

Nevertheless, all this confusion about what "covariant derivative" really means could've been avoided. As has been pointed out, the generalization of the directional derivative of a vector field is still going to be a vector field (a rank-1 tensor) in curved spaces. Ultimately, is that not what started this disagreement--the mistaken belief that it would somehow be rank-2? Or did that all stem from the unclear definition of "covariant derivative" (which, I concede, it may be that physicists have broken with strict mathematical definitions and caused the term to be used more broadly than it was historically defined, in an abuse of the term)?
 
  • #176
Muphrid said:
As has been pointed out, the generalization of the directional derivative of a vector field is still going to be a vector field (a rank-1 tensor) in curved spaces. Ultimately, is that not what started this disagreement--the mistaken belief that it would somehow be rank-2? Or did that all stem from the unclear definition of "covariant derivative" (which, I concede, it may be that physicists have broken with strict mathematical definitions and caused the term to be used more broadly than it was historically defined, in an abuse of the term)?
Well certainly the latter has been a major factor, but I think we have it moreless under control.
Let's give a final look to the point you mention first. You have just conceded that at least in the more mathematical sense, there is definition of covariant derivative as generalization of the directional derivative when a connection is needed which was the definition I was using, and this generalization always increases the order of a tensor by one. So why would be my belief mistaken?
When the outcome is the same order, it is not the generalization, it is a directional derivative proper, there is nothing covariant about it, no special strategy for parallel transport is needed to keep the vectors parallel, no connection is used, otherwise the outcome wouldn't be just another vector field.
Consider this paragraph from wikipedia:

" In the case of Euclidean space, one tends to define the derivative of a vector field in terms of the difference between two vectors at two nearby points. In such a system one translates one of the vectors to the origin of the other, keeping it parallel. With a Cartesian (fixed orthonormal) coordinate system we thus obtain the simplest example: covariant derivative which is obtained by taking the derivative of the components. In the general case, however, one must take into account the change of the coordinate system. For example, if the same covariant derivative is written in polar coordinates in a two dimensional Euclidean plane, then it contains extra terms that describe how the coordinate grid itself "rotates". In other cases the extra terms describe how the coordinate grid expands, contracts, twists, interweaves, etc."
It makes clear the Cartesian coord. flat case is a special case where the generalization is not needed and therefore
 
  • #177
DaleSpam said:
It is true that you don't NEED a connection in flat space, but you can still have one, a trivial connection with all the Christoffel symbols equal to 0. So a covariant derivative is perfectly well defined in flat space just as in curved spaces. It does the same thing, wrt the rank of the tensor, in both curved and flat space.
What does it wrt the rank of the tensor according to you then?
 
  • #178
Let's give a final look to the point you mention first. You have just conceded that at least in the more mathematical sense, there is definition of covariant derivative as generalization of the directional derivative when a connection is needed which was the definition I was using, and this generalization always increases the order of a tensor by one.

No, you're still confused. I don't blame you for this; even the wiki article is confused. It starts with the idea of covariant derivative as a generalization of directional derivatives, but everything in its examples section is more consistent with physicists' usage, which is not a generalization of directional derivatives.

At this point, I think it will be most productive if you point out the definition of the covariant derivative that you want to use, so that we may both talk about the same thing. I will then be happy to point out to how how that definition affects the rank of any rank-N tensor field it acts on.
 
  • #179
TrickyDicky said:
What does it wrt the rank of the tensor according to you then?
The covariant derivative evaluated along a path does nothing to the rank. The other covariant derivative adds one index "downstairs" thereby increasing the rank by 1. They each do the same thing in curved manifolds as they do in flat ones.
 
  • #180
DaleSpam said:
The covariant derivative evaluated along a path does nothing to the rank. The other covariant derivative adds one index "downstairs" thereby increasing the rank by 1. They each do the same thing in curved manifolds as they do in flat ones.

Ok if "both covariant derivatives" do the same in flat and curved manifolds, why do the wikipedia four-acceleration entry only talks about covariant derivative for the GR case?
 

Similar threads

  • · Replies 22 ·
Replies
22
Views
1K
  • · Replies 10 ·
Replies
10
Views
1K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 18 ·
Replies
18
Views
3K
  • · Replies 36 ·
2
Replies
36
Views
5K
  • · Replies 18 ·
Replies
18
Views
2K
  • · Replies 54 ·
2
Replies
54
Views
4K
  • · Replies 78 ·
3
Replies
78
Views
7K
  • · Replies 28 ·
Replies
28
Views
3K
  • · Replies 72 ·
3
Replies
72
Views
5K