ALEX 2018 Workshop: Abstracts

Approximating gradient flow evolutions of self-avoiding inextensible curves and elastic knots

Sören Bartels(1) and Philipp Reiter(2)

(1) University of Freiburg, Department of Applied Mathematics (Germany)

(2) University of Georgia, Department of Mathematics (USA)

We discuss a semi-implicit numerical scheme that allows for minimizing the bending energy of curves within certain isotopy classes. To this end we consider a weighted sum of the bending energy B and the tangent-point functional TP, i.e.,

E(u)=κB(u)+ϱTP(u)=κ2I|u′′(x)|2dx+ϱI×Idxdyr(u(y),u(x))q

with the tangent-point radius r(u(y),u(x)) which is the radius of the circle that is tangent to the curve u at the point u(y) and that intersects with u in u(x).

We define evolutions via the gradient flow for E within a class of arclength parametrized curves, i.e., given an initial curve u0H2(I;3) we look for a family u:[0,T]H2(I;3) such that, with an appropriate inner product (,)X on H2(I;3),

(tu,v)X=-δE(u)[v],u(0)=u0,

subject to the linearized arclength constraints

[tu]u=0,vu=0.

Our numerical approximation scheme for the evolution problem is specified via a semi-implicit discretization, i.e., for a step-size τ>0 and the associated backward difference quotient operator dt, we compute iterates (uk)k=0,1,H2(I;3) via the recursion

(dtuk,v)X+κ([uk]′′,v′′)=-ϱδTP(uk-1)[v]

with the constraints

[dtuk][uk-1]=0,v[uk-1]=0.

The scheme leads to sparse systems of linear equations in the time steps for cubic C1 splines and a nodal treatment of the constraints. The explicit treatment of the nonlocal tangent-point functional avoids working with fully populated matrices and furthermore allows for a straightforward parallelization of its computation.

Based on estimates for the second derivative of the tangent-point functional and a uniform bi-Lipschitz radius, we prove a stability result implying energy decay during the evolution as well as maintenance of arclength parametrization. The results are published in the article [2] and provide in combination with the spatial discretization estimates of [1] a quite complete numerical analysis.

We present some numerical experiments exploring the energy landscape, targeted to the question how to obtain global minimizers of the bending energy in knot classes, so-called elastic knots.

References

  • 1 S. Bartels, Ph. Reiter, and J. Riege, A simple scheme for the approximation of self-avoiding inextensible curves, IMA Journal of Numerical Analysis, 38(2), 543–565, 2017.
  • 2 S. Bartels and Ph. Reiter, Stability of a simple scheme for the approximation of elastic knots and self-avoiding inextensible curves, Submitted. https://arxiv.org/abs/1804.02206. ArXiv e-prints, April 2018.