Definition of isometry in components form

In summary: The coordinates x and x' are the coordinates of p and f(p), respectively. The diffeomorfism is an active coordinate transformation because we are "moving" points on the manifold, p to f(p).
  • #1
maxverywell
197
2
From the book of Nakahara "Geometry, Topology and Physics":

A diffeomorfism ##f:\mathcal{M}\to \mathcal{M}## is an isometry if it preserves the metric:
##
f^{*}g_{f(p)}=g_{p}
##

In components this condition becomes:
##
\frac{\partial y^{\alpha}}{\partial x^{\mu}}\frac{\partial y^{\beta}}{\partial a^{\nu}}g_{\alpha\beta}(f(p))=g_{\mu\nu}(p)
##
where x and y are the coordinates of p and f (p), respectively.

I don't understand it. I know that a metric transforms under coordinate transformation ##x^{\mu}\to x'^{\mu}## (coordinates of the same point p - passive transformation). But here we have two different points. It doesn't make sense. I know that this has to do with passive vs active coordinate transformation but cannot understand it.
 
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  • #2
That definition is not exactly complete. An isometry is a diffeomorphism ##\varphi: (M,g)\rightarrow (N,g')##, where ##M,N## are Riemannian manifolds, such that the pullback ##\varphi^*## satisfies ##g = \varphi^{*}g'##. The meaning of this is quite simple and clear. Let ##p\in M## and ##v,w\in T_pM##. If ##\varphi## is an isometry then by the above definition it immediately follows that ##g_{p}(v,w) = g'_{\varphi(p)}(\varphi_{*}v,\varphi_{*}w)## i.e. the isometry preserves the inner product between vectors when they are sent from one tangent space to another under the isometry.
 
  • #3
maxverywell said:
##
\frac{\partial y^{\alpha}}{\partial x^{\mu}}\frac{\partial y^{\beta}}{\partial a^{\nu}}g_{\alpha\beta}(f(p))=g_{\mu\nu}(p)
##
where x and y are the coordinates of p and f (p), respectively.
The LHS is the metric in the new coordinate system at the new point. The equality just says the metric at the new point in the new coordinates is equal to the metric at the old point.
 
  • #4
WannabeNewton, I have difficulty in proving the component form of the equation.
Bill_K said:
The LHS is the metric in the new coordinate system at the new point. The equality just says the metric at the new point in the new coordinates is equal to the metric at the old point.

Yeah. But this is what I want to prove.

Let me show you how I understand it and please let me know if I am correct.

Tensor transformation law:
##g'_{\mu\nu}(x')=\frac{\partial x^{\alpha}}{ \partial x'^{\mu}}\frac{\partial x^{\beta}}{\partial x'^{\nu}}g_{\alpha\beta}(x)##

where ##\{x^{\mu}\}## and ##\{x'^{\mu}\}## are the coordinate systems covering the neighborhood ##U\subset M## of the point ##p##. We call the transformation of the coordinates ##x\to x'## "passive" because we are referring to the same point.

The diffeomorfism ##f: M\to M## is an "active" coordinate transformation because we are "moving" points on the manifold, ##p\to f(p)##. Let's suppose that the coordinate system covering the neighborhood ##V## of the point ##f(p)##, is ##\{y^{\mu}\}##.

However, we can consider the diffeomorfism ##f## from an passive point of view (Wald) by defining a new coordinate system in the neighborhood ##O=f^{-1}[V]## of the point ##p##, ##\{x'^{\mu}\}##, by setting ##x'(q)=y(f(q))##, ##q\in O##.
For the metric tensor this means ##g'_{\alpha\beta}(x')=g_{\alpha\beta}(y)## (right?). So

##g_{\mu\nu}(x)=\frac{\partial x'^{\alpha}}{ \partial x^{\mu}}\frac{\partial x'^{\beta}}{\partial x^{\nu}}g'_{\alpha\beta}(x')=\frac{\partial x'^{\alpha}}{ \partial x^{\mu}}\frac{\partial x'^{\beta}}{\partial x^{\nu}}g_{\alpha\beta}(y)##

and because ##x'(p)=y(f(p))##, we have finally:

##g_{\mu\nu}(x)=\frac{\partial y^{\alpha}}{ \partial x^{\mu}}\frac{\partial y^{\beta}}{\partial x^{\nu}}g_{\alpha\beta}(y)##
 
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  • #5
[tex]g'_{\varphi(p)}(\varphi_{*}\partial_{i},\varphi_{*}\partial_{j}) = g'_{\varphi(p)}(\frac{\partial x^{l'}}{\partial x^i}\partial_{l'}, \frac{\partial x^{k'}}{\partial x^j}\partial_{k'}) = \frac{\partial x^{l'}}{\partial x^i} \frac{\partial x^{k'}}{\partial x^j}g'_{lk} = g_{ij}[/tex]

EDIT: So yes, I agree with what you said for the case of coordinate transformations.
 
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  • #6
WannabeNewton said:
[tex]g'_{\varphi(p)}(\varphi_{*}\partial_{i},\varphi_{*}\partial_{j}) = g'_{\varphi(p)}(\frac{\partial x^{l'}}{\partial x^i}\partial_{l'}, \frac{\partial x^{k'}}{\partial x^j}\partial_{k'}) = \frac{\partial x^{l'}}{\partial x^i} \frac{\partial x^{k'}}{\partial x^j}g'_{lk} = g_{ij}[/tex]

Are the coordinates x and x' the coordinates of p and f(p) respectively?

Also, why ##\varphi_{*}\partial_{i}=\frac{\partial x^{l'}}{\partial x^i}\partial_{l'}##?
 
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  • #7
That is what the pushforward does under a change of coordinates to the coordinate representation of the original coordinate basis.
 
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  • #8
So ##\phi_* \partial_i= \partial_i##?
This would mean that under isometries the basis vectors don't change.
 
  • #9
maxverywell said:
So ##\phi_* \partial_i= \partial_i##?
This would mean that under isometries the basis vectors don't change.
Oops, let me be more precise. Let ##(U,\varphi)## and ##(V,\psi)## be two charts on a smooth manifold ##M## and let ##p\in U\cap V##. Say ##\varphi## has coordinate functions ##(x^{i})## and that ##\psi## has coordinate functions ##(x^{i'})##. The transition map ##(\psi\circ \varphi^{-1}):\varphi(U\cap V)\rightarrow \psi(U\cap V)## is given by ##(\psi\circ \varphi^{-1})(x) = (x^{1'}(x),...,x^{n'}(x))##. The pushforward of the transition map then gives ##(\psi\circ \varphi^{-1})_{*}\partial_{i}|_{\varphi(p)} = \frac{\partial x^{j'}}{\partial x^{i}}(\varphi(p))\partial_{j'}|_{\psi(p)}##.
 
  • #10
WannabeNewton said:
Oops, let me be more precise. Let ##(U,\varphi)## and ##(V,\psi)## be two charts on a smooth manifold ##M## and let ##p\in U\cap V##. Say ##\varphi## has coordinate functions ##(x^{i})## and that ##\psi## has coordinate functions ##(x^{i'})##. The transition map ##(\psi\circ \varphi^{-1}):\varphi(U\cap V)\rightarrow \psi(U\cap V)## is given by ##(\psi\circ \varphi^{-1})(x) = (x^{1'}(x),...,x^{n'}(x))##. The pushforward of the transition map then gives ##(\psi\circ \varphi^{-1})_{*}\partial_{i}|_{\varphi(p)} = \frac{\partial x^{j'}}{\partial x^{i}}(\varphi(p))\partial_{j'}|_{\psi(p)}##.

Actually I am more confused now.
At first you said that ##\varphi## is diffeomorphism ##\varphi:(M,g)\to (N,g')## and now it's the local coordinate map ##\varphi:M\to\mathbb{R}^n##. We want the push-forward ##\varphi_*##.
 
  • #11
If we are just talking about a change of coordinates, then all we care about is the transition map that goes from one chart to the other, at some point on the manifold; the diffeomorphism is the transition map, not the coordinate map itself (transition maps are automatically diffeomorphisms by definition of a smooth atlas). I was using a single symbol to denote the transition map before, which was certainly my mistake since I did the opposite in post #2, so I cleaned that up in post #9. See also Lee "Introduction to Smooth Manifolds" page 72.

EDIT: Let me rewrite the line here in a clearer fashion. ##g_{ij} = g(\partial_{i},\partial_{j}) = \frac{\partial x^{k'}}{\partial x^{i}}\frac{\partial x^{l'}}{\partial x^{j}}g(\partial_{k'}, \partial_{l'}) = \frac{\partial x^{k'}}{\partial x^{i}}\frac{\partial x^{l'}}{\partial x^{j}}g_{k'l'}##. The change of coordinate is taken into account implicitly from the way the coordinate basis transforms.

Now, for a general endomorphic isometry ##f:M\rightarrow M##, we will have the following: ##g_{ij}(p) = g_{f(p)}(f_{*}\partial_{i},f_{*}\partial_{j}) = g_{f(p)}(\frac{\partial f^{k}}{\partial x^{i}}\partial_{k}, \frac{\partial f^{l}}{\partial x^{j}}\partial_{l}) = \frac{\partial f^{k}}{\partial x^{i}}\frac{\partial f^{l}}{\partial x^{j}}g_{kl}(f(p))##

What was confusing me before with regards to your notation is that you kept mixing up coordinate transformation notation with that of endomorphic isometries so I couldn't tell what exactly it was you wanted.
 
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  • #12
Thnx WannabeNewton, especially for mentioning the Lee's book, it's very nice. and I started reading it.
 
  • #13
maxverywell said:
and I started reading it.
Good, good. I'm sure you'll like it! Don't forget to have fun with it :). I should warn you though that Lee's book assumes you have done topology (mostly point-set topology and some algebraic for the later parts) so if you haven't done topology before then you might want to brush up on that first. Cheers!
 

What is an isometry in components form?

An isometry in components form is a mathematical concept that describes a transformation that preserves the distance between two points in space. It is a type of transformation that can be represented by a matrix, and it includes translations, rotations, and reflections.

How is an isometry represented in components form?

An isometry can be represented in components form by using a matrix with orthogonal columns. Each column represents the direction in which the transformation moves a point, and the length of the column represents the amount of movement in that direction.

What are the properties of an isometry in components form?

An isometry in components form has three main properties: it preserves distance, it preserves angles, and it preserves orientation. This means that the distance between any two points, the angles between any two lines, and the orientation of objects in space remain unchanged after the transformation.

What is the difference between isometry and similarity in components form?

The main difference between isometry and similarity in components form is that an isometry preserves both distance and angles, while similarity only preserves angles. This means that the size of objects may change in a similarity transformation, but they will remain the same in an isometry.

What are some real-world applications of isometry in components form?

Isometry in components form has several applications in fields such as computer graphics, robotics, and geometry. It is used to create 3D models, design computer animations, and program robots to move in space accurately. It is also used in architecture and engineering to ensure that structures are built with precise measurements and angles.

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