Papers
Topics
Authors
Recent
2000 character limit reached

The $L^p$ Teichmüller theory: Existence and regularity of critical points

Published 29 Jul 2020 in math.CV | (2007.15149v1)

Abstract: We study minimisers of the $p$-conformal energy functionals, [ \mathsf{E}p(f):=\int\ID \IKp(z,f)\,dz,\quad f|\IS=f_0|\IS, ] defined for self mappings $f:\ID\to\ID$ with finite distortion and prescribed boundary values $f_0$. Here [ \IK(z,f) = \frac{|Df(z)|2}{J(z,f)} = \frac{1+|\mu_f(z)|2}{1-|\mu_f(z)|2}] is the pointwise distortion functional and $\mu_f(z)$ is the Beltrami coefficient of $f$. We show that for quasisymmetric boundary data the limiting regimes $p\to\infty$ recover the classical Teichm\"uller theory of extremal quasiconformal mappings (in part a result of Ahlfors), and for $p\to1$ recovers the harmonic mapping theory. Critical points of $\mathsf{E}p$ always satisfy the inner-variational distributional equation [ 2p\int\ID \IKp\;\frac{\overline{\mu_f}}{1+|\mu_f|2}\varphi_\zbar \; dz=\int_\ID \IKp \; \varphi_z\; dz,\quad\forall\varphi\in C_0\infty(\ID ). ] We establish the existence of minimisers in the {\em a priori} regularity class $W{1,\frac{2p}{p+1}}(\ID)$ and show these minimisers have a pseudo-inverse - a continuous $W{1,2}(\ID)$ surjection of $\ID$ with $(h\circ f)(z)=z$ almost everywhere. We then give a sufficient condition to ensure $C{\infty}(\ID)$ smoothness of solutions to the distributional equation. For instance $\IK(z,f)\in Lr_{loc}(\ID)$ for any $r>p+1$ is enough to imply the solutions to the distributional equation are local diffeomorphisms. Further $\IK(w,h)\in L1(\ID)$ will imply $h$ is a homeomorphism, and together these results yield a diffeomorphic minimiser. We show such higher regularity assumptions to be necessary for critical points of the inner variational equation.

Citations (4)

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.