PAllen said:
Well, as stated, this is false, as noted in the referenced paper. For an arbitrary, 4-D pseudo-Riemannian manifold (with 1 minus sign, s=1 in the parlance of the paper) in the signature, you cannot embed in any higher dimensional Minkowski space (taking Minkowski space to have s=1, as done in the paper). The reason is simply CTC cannot be smoothly isometrically embedded in such a case. You have to allow the embedding target flat manifold to have s > 1, thus not be just a higher dimensional Minkowski space. The main thrust of the referenced paper is then to identify precisely the subset of 4-d pseudo-Riemannian manifolds that can be embedded in higher dimensional Minkowski space (i.e. keeping s=1).
This is almost completely irrelevant; you are focussing too much on particulars (e.g. pseudo-Riemannian, having CTCs) and not on the general content of the theorem which goes far beyond this direct implementation with which you find issue; apart from CTC's being unphysical and therefore de facto uninteresting in the context of analysis for instability reasons, the particular technicality you have a problem with can trivially be transformed away for all practical purposes by applying a sequence of conventional applied mathematics techniques.
The core content of the embedding theorems is that the intrinsic view of manifolds from non-Euclidean geometry and the extrinsic view of these manifolds being embedded in a high dimensional Euclidean space are in fact equivalent; this is an extremely far-reaching unification in geometry and mathematics more generally for which Nash is not nearly celebrated enough. The unification occurs through the form of the embedding, namely PDEs, making this a unification of intrinsic and extrinsic geometry through objects belonging to the theory of analysis.
The proof depends on a particular mixture of classical pure mathematical concepts leading to a miraculous answer: the embedding - a geometric concept - is done using a large system of equations - essentially algebra - which have the certain property that the derivatives tend to vanish, based on the differentiability class of the equations - i.e. a topic belonging to analysis - while simultaneously using a rapid convergence technique - numerical analysis - to counteract the rate of vanishing of the derivatives.
In modern terminology this isn't a topic of pure mathematics anymore (NB: due to formalism having become the dominant school of thought among pure mathematicians) but instead the topic has gotten the reputation of being a topic belonging to applied mathematics (NB: because applied mathematicians now work on these problems), namely it is a geometric study of the analytic properties of a large system of nonlinear differential equations, i.e. doing geometry, by doing algebra, by doing analysis, both analytic and numerical at the same time. This field of research is called nonlinear dynamical systems theory and it unifies almost all areas of sophisticated applied mathematics in the most natural manner imaginable.
martinbn said:
The embbeding is not going to be given explicitly, so what calculations can be done just because an embbeding exists.
The embedding theorem is an existence proof for certain nonlinear PDEs, which can actually be used to construct solutions to other nonlinear PDEs if used correctly in conjunction with a host of different techniques and methodologies - KAM theory, Morse theory, bifurcation theory, non-perturbative analysis, numerical analysis, the method of characteristics, integral transforms and so on; different combinations of these are used to construct an ansatz and go from there.
The applications of this to all the sciences - both natural and social - seems almost limitless both directly for mathematical modelling and indirectly for empirical analysis, especially given that topological data analysis is slowly but steadily becoming a more common tool in data science. Indeed, in the words of Nash (1958) himself:
The open problems in the area of non-linear partial differential equations are very relevant to applied mathematics and science as a whole, perhaps more so than the open problems in any other area of mathematics, and this field seems poised for rapid development. It seems clear, however, that fresh methods must be employed.