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Hello all
I am trying to teach myself general relativity and am working through the text 'a first course in general relativity' by Bernard F Schutz. So far I have made slow but consistent progress but I am perplexed by his derivation of the ‘local flatness’ result. This says that for any point P on a four-dimensional differentiable manifold M with metric tensor field g there exists a coordinate system \tilde{C} on an open neighbourhood U of P such that the component representation g_{\tilde{\alpha}\tilde{\eta}} of g under the coordinate basis O_{\tilde{C}} for T_PM satisfies:
1. g_{\tilde{\alpha}\tilde{\eta}}|_P = -1\ if\ \tilde{\alpha}=\tilde{\eta}=0,\ 1\ if\ \tilde{\alpha}=\tilde{\eta}>0,\ otherwise\ 0
2. g_{\tilde{\alpha}\tilde{\eta}},_{\tilde{\gamma}}|_P = 0\ for\ all\ \tilde{\alpha},\tilde{\eta},\tilde{\gamma}\ in\ \{0,1,2,3\}
Schutz’s proof proceeds by considering an existing coordinate system C on U and a new coordinate system \tilde{C} (also defined on U) and the field of the Jacobian matrix field \Lambda of the coordinate transformation function \psi = \tilde{C} \circ C^{-1}. He shows that the first two terms of the Taylor series for g_{\tilde{\alpha}\tilde{\eta}}|_Q under basis O_{\tilde{C}} (for Q in U) depend on \Lambda^\alpha_{\tilde{\eta}}|_P and \Lambda^\alpha_{\tilde{\eta}},_{\tilde{\gamma}}|_P, and that there are sufficient independent components of these two arrays that they can be chosen in such a way as to satsfy 1 and 2.
Schutz gives up at this point and leaves the reader to fend for himself.
My attempt to complete the proof (ie construct a coordinate system \tilde{C} with the required properties) is as follows:
First, note that the matrix of which we are choosing components is actually that of the inverse transformation \psi^{-1} = C \circ \tilde{C}^{-1}, because the tildes are over the lower indices rather than the upper indices (although that's not so easy to see in this Tex system, which looks very fuzzy on my computer!). Let us choose all components of second and higher derivatives of the inverse matrix to be zero everywhere on U. This gives us a matrix field on U, which we call \Lambda^{-1} and the (matrix multiplicative) inverse of that field is another matrix field \Lambda on U. If each row of \Lambda is the gradient of a scalar field on U then \Lambda is a Jacobian and uniquely defines a coordinate system \tilde{C} on U, up to translation.
But how can we be sure that each row is the gradient of a scalar field? We didn’t define the rows as gradients or one-forms, in fact they were chosen in a fairly arbitrary fashion, just in order to satisfy the unrelated conditions 1 and 2.
We can try defining a scalar field at a point X in C(U) as the integral of a row of \Lambda along a path starting at C(P) and ending at X. But that integral is only well-defined if it is path-independent, and the only helpful theorem I can find is one that says that if you integrate a vector field that is the gradient of a scalar field then it’s path independent. ie you need to assume the conclusion in order to prove it!
So how can we show that the matrix field chosen to satisfy 1 and 2 leads to a valid, well-defined coordinate system \tilde{C}?
Thanks very much for any help anybody can provide with this.
I am trying to teach myself general relativity and am working through the text 'a first course in general relativity' by Bernard F Schutz. So far I have made slow but consistent progress but I am perplexed by his derivation of the ‘local flatness’ result. This says that for any point P on a four-dimensional differentiable manifold M with metric tensor field g there exists a coordinate system \tilde{C} on an open neighbourhood U of P such that the component representation g_{\tilde{\alpha}\tilde{\eta}} of g under the coordinate basis O_{\tilde{C}} for T_PM satisfies:
1. g_{\tilde{\alpha}\tilde{\eta}}|_P = -1\ if\ \tilde{\alpha}=\tilde{\eta}=0,\ 1\ if\ \tilde{\alpha}=\tilde{\eta}>0,\ otherwise\ 0
2. g_{\tilde{\alpha}\tilde{\eta}},_{\tilde{\gamma}}|_P = 0\ for\ all\ \tilde{\alpha},\tilde{\eta},\tilde{\gamma}\ in\ \{0,1,2,3\}
Schutz’s proof proceeds by considering an existing coordinate system C on U and a new coordinate system \tilde{C} (also defined on U) and the field of the Jacobian matrix field \Lambda of the coordinate transformation function \psi = \tilde{C} \circ C^{-1}. He shows that the first two terms of the Taylor series for g_{\tilde{\alpha}\tilde{\eta}}|_Q under basis O_{\tilde{C}} (for Q in U) depend on \Lambda^\alpha_{\tilde{\eta}}|_P and \Lambda^\alpha_{\tilde{\eta}},_{\tilde{\gamma}}|_P, and that there are sufficient independent components of these two arrays that they can be chosen in such a way as to satsfy 1 and 2.
Schutz gives up at this point and leaves the reader to fend for himself.
My attempt to complete the proof (ie construct a coordinate system \tilde{C} with the required properties) is as follows:
First, note that the matrix of which we are choosing components is actually that of the inverse transformation \psi^{-1} = C \circ \tilde{C}^{-1}, because the tildes are over the lower indices rather than the upper indices (although that's not so easy to see in this Tex system, which looks very fuzzy on my computer!). Let us choose all components of second and higher derivatives of the inverse matrix to be zero everywhere on U. This gives us a matrix field on U, which we call \Lambda^{-1} and the (matrix multiplicative) inverse of that field is another matrix field \Lambda on U. If each row of \Lambda is the gradient of a scalar field on U then \Lambda is a Jacobian and uniquely defines a coordinate system \tilde{C} on U, up to translation.
But how can we be sure that each row is the gradient of a scalar field? We didn’t define the rows as gradients or one-forms, in fact they were chosen in a fairly arbitrary fashion, just in order to satisfy the unrelated conditions 1 and 2.
We can try defining a scalar field at a point X in C(U) as the integral of a row of \Lambda along a path starting at C(P) and ending at X. But that integral is only well-defined if it is path-independent, and the only helpful theorem I can find is one that says that if you integrate a vector field that is the gradient of a scalar field then it’s path independent. ie you need to assume the conclusion in order to prove it!
So how can we show that the matrix field chosen to satisfy 1 and 2 leads to a valid, well-defined coordinate system \tilde{C}?
Thanks very much for any help anybody can provide with this.
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