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Aug 16, 2019 at 18:45 comment added Justin Dieter I would like the set of metrics to be diverse in that they can approximate arbitrary metrics fairly well (Like a Fourier series or something) or at least approximate a large number of interesting metrics. And by explicit I do mean closed-form in terms of elementary functions. Although really I only need closed-form in terms of functions that there are algorithms to compute (or approximate to an acceptable degree of accuracy) in very efficient time (this is for a deep learning algorithm that has to do this for a very large number of datapoints).
Aug 15, 2019 at 19:44 comment added Ben McKay There are results of Matveev that prevent integrable metrics on many manifolds, if I remember correctly.
Aug 15, 2019 at 12:03 comment added user44143 Related: mathoverflow.net/q/37651/44143. If a closed-form metric is required, then the set of Riemannian metrics will not be very diverse, but perhaps it is possible with only closed-form geodesics.
Aug 15, 2019 at 11:52 comment added Thomas Rot If you only consider smooth metrics the manifold will not be a Hilbert one, but a Frechet one. A trivial example of $N$ you want is $N$ to be a single metric, for which the geodesic equation is explicitely solvable: e.g. the standard flat metric. Outside of this it seems pretty difficult. I might see some one dimensional examples: For example by taking $N$ to be the family of metrics $e^t g$, where $g$ is the flat metric on Euclidean space.
S Aug 15, 2019 at 11:17 history suggested S.Surace
add relevant tag
Aug 15, 2019 at 9:23 comment added S.Surace What do you mean by explicit? Do you mean closed-form in terms of elementary functions?
Aug 15, 2019 at 9:20 review Suggested edits
S Aug 15, 2019 at 11:17
S Aug 8, 2019 at 22:37 history suggested Ali Taghavi
I add a tag.
Aug 8, 2019 at 22:37 review Suggested edits
S Aug 8, 2019 at 22:37
Aug 8, 2019 at 21:44 history asked Justin Dieter CC BY-SA 4.0