deRoy said:
Here, I have found a reference in Spivak's book:
The metric, is determined if Q(W) ( Gaussian Curvature ) is known for n(n-1)/2 independent 2-dimensional subspaces at each point q.
Michael Spivak: "A comprehensive Introduction to Differential Geometry" Vol. 2 page 179
I wish I had the time to go through his calculations in how he proves Riemann's assertion.
As I understand it, for practical reasons in order to calculate the metric we must work with 2-sections. But the Gaussian Curvature of a hypersurface is only one number. There is a generalization of the Theorema Egregium in dimensions > 2 and I have already done work how to find it for d=3.
Thanks, I had seen some reference to a result like this, but could not track anything down (in a math very lite book on Perelman's proof of geometrization conjecture).
I should also note that it pretty well known that in 4 d, you only need 6 functions to determine the metric, and generally, that you need d less than the number of algebraically independent components of rank 2 symmetric tensor. The reason is the ability to impose up to d coordinate conditions on a chart without loss of generality of the geometry, due to diffeomorphism invariance. So, in a certain sense, this result should not be totally surprising to those (like myself) who have only seen differential geometry as used in GR, which rarely (if ever) uses notions of gaussian curvature.
Note that this indeed implies to an indirect, complex, way to get the curvature tensor from 6 numbers supplied at each point of the manifold. You first get the metric, by whatever implicit procedure is described in Spivak. Then you derive the curvature tensor from the metric.
We've had some other threads on this type of issue. A key point is that algebraic independence is not the same as (to coin a term) analytic independence. Specfically, there are integrability conditions on the metric compatible connection resulting from its dependence on a metric with 6 functional degrees of freedom. These imply similar conditions for the curvature tensor.
But what you can't do is get the complete curvature tensor in any algebraic way from 6 numbers at a point. Interestingly, the reverse is possible, which shows the utility of the curvature tensor. That is, the Gaussian curvature for any plane, at a point, is algebraically computable from curvature tensor at that point. This formula is given in the wikipedia article I linked earlier. Going the reverse, algebraically, all you can do is:
Given a scalar function of pairs of vectors in the tangent space at a point giving the gaussian curvature for the plane they determine, and given any 4 specific linearly independent vectors at a point, then using 6 evaluations of gaussian curvature for different combinations of those 4 vectors, you get the the contraction of curvature tensor to a scalar corresponding to those specific 4 vectors.