Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Thank you. The argument is hard for me to follow, especially the second paragraph . What is $U$? As I see from the beginning, you think of a way that may prove the claim and then realize that it cannot, but that doesn't disprove it.
@fedja Indeed, I just wrote the partial derivatives $\gamma$ instead of $f(x)+g(x)$ to save notation, but both forms are equivalent and actually I use the second one in practical calculations.
@JosephO'Rourke It has been impossible to find Anthony Robin's work on the web. Do you have a link or name of data base where it can be located ? Thank you.
Thank you. OK maybe with completely arbitrary domains $\Omega_1$ and $\Omega_2$ the posing is too general. If we restrict, for instance $\mathsf{Area}(\Omega_2)\leq\mathsf{Area}(\Omega_1)$ is there some hope of having solutions ?
Thank you. I wonder why one needs only two points in the whole analysis; is it something implicit in this family of mappings ? Also, although a different question, if one releases the constraint on the image to be a circle, is there an evident way to prove that the perimeter of the image domain is smaller than that of the initial one ?
@AntonPetrunin The question indeed comes from Chebyshev nets. They in general map a planar domain into a surface, but the subset of $\mathbb{R}^2\rightarrow \mathbb{R}^2$ maps necessarily has Jacobian of the form I wrote. I have no notice of a comprehensive treatment of such mappings.