-
Notifications
You must be signed in to change notification settings - Fork 6
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Working with the tangential space of a manifold #16
Comments
Hi @volkerkarle! I'm not an expert on Manifolds, but I imagine you've already looked at Manifolds.jl without success? |
From what I can tell, if you use implicit differentiation on |
Hi Guillaume, So manifold.jl if you are working with already well defined manifolds. I did not see how one can apply it for a implicitly defined manifolds, but it's not an issue. As soon as the tangential space is (up to some precision) well defined, curvature etc. follows straightforwardly. |
As far as I know, implicit differentiation is exact, up to the precision of the linear solver. |
Hey @volkerkarle, did you end up succeeding in your endeavors? |
Hi there, thanks for your amazing work!
I was wondering if I could use this approach to iteratively work out the tangential space of the manifold defined by f(x)=0, with x ∈ ℝⁿ, f ∈ℝᵈ. Right now I'm using the implicit function theorem to calculate the tangential vectors. However, with the naive implementation (using DiffOpt.jl) the accuracy is very low compared to the tangential vectors I get by sampling over points and taking x-x'/|x-x'| for x-x'->0. I do not know about the concrete details of your implementation, but I have the impression that it is superior to my naive Ansatz.
Further, do you think it could be possible to calculate the curvature tensor (and henceforth, the parallel transport) of the manifold at each point? In the end I'm interested in singularities (i.e. bifurcations) and for this I need to be able to calculate derivatives up to high precision.
Best,
v.
The text was updated successfully, but these errors were encountered: