Do Isometries Preserve Covariant Derivatives?

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Discussion Overview

The discussion revolves around the question of whether isometries preserve covariant derivatives, specifically in the context of a problem from O'Neill's Elementary Differential Geometry. Participants explore the implications of a simple inversion isometry on covariant derivatives of vector fields in three-dimensional space.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents a case where the covariant derivative appears to change sign under a specific isometry, questioning whether an error was made in their calculations.
  • Another participant suggests that the relationship between the transformed vector fields indicates a negative relationship, implying that the covariant derivative of the transformed field is the negative of the original.
  • Some participants express agreement with the initial finding that the covariant derivative does not remain invariant, while others propose that it is indeed preserved but with a sign change.
  • There is a discussion about the definitions of the mappings involved, particularly how vector fields are transformed under the isometry and how this affects the covariant derivatives.
  • One participant seeks clarification on the basic premise of the problem, indicating confusion about the definitions and mappings of vector fields.
  • Another participant elaborates on the mappings of points and vectors, emphasizing the importance of understanding that vectors are associated with specific points in the manifold.
  • Further calculations are presented, showing how the transformed vector fields relate to the original fields, but the results lead to differing interpretations regarding the preservation of the covariant derivative.

Areas of Agreement / Disagreement

Participants express differing views on whether isometries preserve covariant derivatives, with some asserting that they do not and others suggesting that they do, albeit with a sign change. The discussion remains unresolved, with no consensus reached.

Contextual Notes

Participants highlight potential misunderstandings regarding the definitions of vector fields and their transformations, as well as the implications of the isometry on the covariant derivatives. There are unresolved aspects concerning the assumptions made in the calculations and the definitions used in the problem statement.

Gene Naden
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O'Neill's Elementary Differential Geometry, in problem 3.4.5, asks the student to prove that isometries preserve covariant derivatives. Before solving the problem in general, I decided to work through the case where the isometry is a simple inversion: ##F(p)=-p##, using a couple of simple vector fields: ##V(p)=(x,y,z)## and ##W(p)=(x^2,0,0)##. I was surprised to find that the covariant derivative changes sign and is not preserved. Have I made an error? Here is the statement of the problem:

Let F be an isometry of ##R^3##.
For each vector field V let ##\bar{V}## be the vector field such that
##F^*(V(p))=\overline{V}(F(p))## for all p.
Show ##\overline{\nabla_{V} W}=\nabla_{\overline{V}}\overline{W}##

The covariant derivative of W is defined as ##\nabla_VW=W(p+tV)^\prime(0)##

The tangent map (derivative map) of F is defined as ##F^*(v_p)=\frac{dF(p+tv)}{dt}|_{t=0}##

Here is my work:

##\nabla_V W=\nabla_{(x,y,z)}W=\frac{d(W((x,y,z)+t(x,y,z))}{dt}|_{t=0}=\frac{d((x+tx)^2,0,0)}{dt}=(2x^2,0,0)##
##\overline{\nabla_VW}(-p)=F^*((2x^2,0,0)_{x,y,z})=\frac{dF((x,y,z)+t(2x^2,0,0)}{dt}|_{t=0}=
\frac{d(-x-2x^2t,0,0)}{dt}=(-2x^2,0,0)##

##q=-p##

##\overline{\nabla_VW}(q)=(-2x^2,0,0)##
##\overline{W}(-p)=F*((x^2,0,0)_{(x,y,z)}=\frac{dF((x,y,z)+t(x^2,0,0)}{dt}|_{t=0}=\frac{d(-x-tx^2,0,0)}{dt}=(-x^2,0,0)##
##\overline{W}(q)=(-x^2,0,0)##
##\overline{V}(-p)=F^*((x,y,z)_{x,y,z})=\frac{dF((x,y,z)+t(x,y,z))}{dt}|_{t=0}=\frac{d(-x-tx,-y-ty,-z-tz)}{dt}
=(-x,-y,-z)##
##\overline{V}(q)=(-x,-y,-z)##

##\nabla_{\overline{V}}\overline{W}(q)=\nabla_{(-x,-y,-z)} (-x^2,0,0)=\frac{d(-(x-tx)^2,0,0)}{dt}=(2x^2,0,0) \neq \overline{\nabla_{V} W}##
 
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It seems to me that you have: (letting ##\mathcal{P}## be the point with coordinates ##(x,y,z)## and ##\overline{\mathcal{P}}## be ##(-x,-y,-z)##.

##\overline{W}(\overline{\mathcal{P}}) = - W(\mathcal{P})##
##\overline{W}(\overline{\mathcal{P}} + \lambda \overline{V}) = - W(\mathcal{P} + \lambda V)##
##\Delta \overline{W} = \overline{W}(\overline{\mathcal{P}} + \lambda \overline{V}) - \overline{W}(\overline{\mathcal{P}}) = - W(\mathcal{P} + \lambda V) - (- W(\mathcal{P})) = -\Delta W##

Roughly speaking, ##\nabla_V W = lim_{\lambda \rightarrow 0} \Delta W##.

(I say "roughly speaking", because you can't directly subtract vectors at different points in space. But you seem to be assuming a flat, Cartesian coordinate system).
 
So you agree with my result? I am about convinced that ##\nabla_{\overline{V}}\overline{W}(q)\neq \overline{\nabla_{V} W}##
 
Gene Naden said:
So you agree with my result? I am about convinced that ##\nabla_{\overline{V}}\overline{W}(q)\neq \overline{\nabla_{V} W}##

No, I came up with ##\overline{\nabla_V W} = \nabla_{\overline{V}} \overline{W} = -\nabla_V W##
 
As I said, when the connection coefficients are all zero, we can write:

##\nabla_{\overline{V}} \overline{W}|_{\overline{\mathcal{P}_0}} = \frac{d}{dt} \overline{W}(\overline{\mathcal{P}_0} + t \overline{V})##

But the way that the transformation is defined, ##\overline{W}(\overline{\mathcal{P}}) = -W(\mathcal{P})##. So we have:

##\nabla_{\overline{V}} \overline{W}|_{\overline{\mathcal{P}_0}} = -\frac{d}{dt} W(\mathcal{P}_0 + t V) = - \nabla_V W|_{\mathcal{P}_0}##
 
stevendaryl said:
As I said, when the connection coefficients are all zero, we can write:

##\nabla_{\overline{V}} \overline{W}|_{\overline{\mathcal{P}_0}} = \frac{d}{dt} \overline{W}(\overline{\mathcal{P}_0} + t \overline{V})##

But the way that the transformation is defined, ##\overline{W}(\overline{\mathcal{P}}) = -W(\mathcal{P})##. So we have:

##\nabla_{\overline{V}} \overline{W}|_{\overline{\mathcal{P}_0}} = -\frac{d}{dt} W(\mathcal{P}_0 + t V) = - \nabla_V W|_{\mathcal{P}_0}##
Why doesn't ##V## change its sign, from ##+tV## to ##-tV\,?##
 
fresh_42 said:
Why doesn't ##V## change its sign, from ##+tV## to ##-tV\,?##

It did. The key fact is that we're mapping both vectors and positions. So if ##\mathcal{P}## is a location, then ##\overline{\mathcal{P}}## is the mapped location. The relationship between ##\overline{W}## and ##W## is this:

##\overline{W}(\overline{\mathcal{P}}) = - W(\mathcal{P})##

So ##\overline{W}(\overline{\mathcal{P}}+ t \overline{V}) = - W(\mathcal{P}+ tV)##

On the left-hand side, ##\overline{V} = -V##.
 
diffeo.jpg


This is how I see it: ##\nabla_\overline{V} \overline{W} = lim_{t \rightarrow 0} \overline{\Delta W}##, which is just the negative of ##\Delta W##.
 

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@stevendaryl wrote ##\overline{\nabla_V W}=\nabla_{\overline{v}}\overline{W}=-\nabla_V W##

I get ##\nabla_{\overline{v}}\overline{W}=-\nabla_V W## but how did you get ##\overline{\nabla_V W}=\nabla_{\overline{v}}\overline{W}## or ##\overline{\nabla_V W}=-\nabla_V W##?
 
  • #10
That's the definition of the mapping: For any vector field ##X## and any point ##\mathcal{P}##,

##\overline{X}(\overline{\mathcal{P}}) = - X(\mathcal{P})##

(Where if ##\mathcal{P}## has coordinates ##(x,y,z)##, then ##\overline{\mathcal{P}}## has coordinates ##(-x,-y,-z)##.

In your original derivation, the only mistake I see was the last line.

What you want to evaluate is ##\nabla_{\overline{V}} \overline{W}|_\overline{\mathcal{P}}##. Looking at just the x-component, we have:

##(\nabla_{\overline{V}} \overline{W})^x|_\overline{\mathcal{P}} = \frac{d}{dt} - (-x - tx)^2##

not ##\frac{d}{dt} - (x-tx)^2##. You're evaluating the covariant derivative at the point with coordinates ##(-x,-y,-z)##.
 
  • #11
@stevendaryl, I see the error you pointed out in my last step. It has caused me to reexamine the entire problem.

I have defined F so that ##F^*:v_p\rightarrow (-v)_{\overline{p}}## where the coodinates of ##\overline{p}## are the negatives of the coordinates of p. And two vector fields ##V(p)=(x,y,z)## and ##W(p)=(x^2,0,0)##. But I don't understand the basic premise of the problem: "For each vector field V let ##\bar{V}## be the vector field such that ##F^*(V(p))=\overline{V}(F(p))## for all p." What does this mean?

I tried to use this statement to construct ##\overline{W}## and ##\overline{V}##, but frankly I didn't know what I was doing.
 
  • #12
Gene Naden said:
But I don't understand the basic premise of the problem: "For each vector field V let ##\bar{V}## be the vector field such that ##F^*(V(p))=\overline{V}(F(p))## for all p." What does this mean?

We have two different mappings:
  1. ##F(p)## maps a point ##p## to another point, ##p'##
  2. ##F^*(V)## maps a vector ##V## at point ##p## to another vector, ##V'## at point ##p'##.
Note that for curved spaces, there is no such thing as just a "vector". Vectors are associated with particular points on the space (or manifold). So if ##V## is a vector defined at point ##p##, the mapping ##F^*(V)## does not give a new vector at the point ##p##. It gives a new vector, ##V'##, defined at the point ##F(p)##.

We can combine these two mappings to give a mapping from vector fields to vector fields. A vector field assigns a vector to each point in the manifold. So assume that we have a vector field ##V(p)## and we want to use those mappings to define a new vector field, ##\overline{V}(p')##. We compute ##\overline{V}(p')## in this way:
  1. Given ##p'##, we compute the point ##p## such that ##F(p) = p'##. If ##F## has an inverse, then ##p = F^{-1}(p')##.
  2. Now that we have ##p##, we can compute ##V(p)##. This is a vector defined at point ##p##.
  3. We can then apply the function ##F^*(V(p))## to get a new vector, ##V'## defined at point ##F(p)##.
  4. We define the value of ##\overline{V}## at point ##p'## to be the vector ##V'##.
So this means that:

##\overline{V}(p') = F^*(V(p))##

Or since ##p' = F(p)##, we can write:

##\overline{V}(F(p)) = F^*(V(p))##
 
  • #13
So with ##p^\prime=F(p)##, I get ##\overline{V}(p^\prime)=(-p_x,-p_y,-p_z)=(p^{\prime}_x,p^{\prime}_y,p^{\prime}_z)## and ##\overline{W}(p^\prime)=(-p_{x}^2,0,0)=(-p^{\prime2}_x,0,0)##

##F^*(\nabla_VW(p))=(-2p_x^2,0,0)=(-2p_x^{\prime 2},0,0)##
##\overline{\nabla_VW(p^\prime)}=(-2p_x^{\prime 2},0,0)##
##\nabla_{\overline{V}}\overline{W}=\frac{d}{dt}((-(p^\prime_x+t\overline{V}_x)^2,0,0)=(-2p^\prime_x\overline{V}_x,0,0)=(-2p^{\prime 2}_x,0,0)##

So I think I understand the meaning of ##\overline{W}##, etc. Thanks @stevendaryl
 
Last edited:
  • #14
Have you solved the general problem?
 
  • #15
With the aid of the textbook:
##F^*(\nabla_V W)=F^*(W(p+tV)^\prime(0)## Definition of covariant derivative
##(p+tV)=TC(p+tV)=C(p+tV)+a=F(p)+tC(V)## General property of isometry
##F^*(W(p+tV)^\prime(0)=(\overline{W}(F(p)+tC(v))^\prime(0)## Given in the problem statement
##F^*(v)=C(v)## Theorem 2.1, first edition
##(\overline{W}(F(p)+tC(v))^\prime(0)=\nabla_{F^*(v)}\overline{W}## definition of covariant derivative
 

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