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<title>Bang-Xian Han — Neckpinch</title><link>https://neckpinch.com/authors/bang-xian-han/</link><description>New arXiv papers by Bang-Xian Han, from Neckpinch</description>
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<item><title>Contracting Transport Maps on Riemannian Manifolds</title><link>https://neckpinch.com/papers/2607.27711/</link><guid isPermaLink="false">arxiv:2607.27711</guid><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><description>Shrey Aryan, Bang-Xian Han, Zhuo-Nan Zhu — We use inverse mean curvature flow to construct bi-Lipschitz maps that preserve normalized volume and decrease distances. These maps send a round sphere onto any smooth closed strictly convex hypersurface in a sphere and a flat disk onto any smooth strictly convex free-boundary disk in a Euclidean ball. In dimension two, this proves a conjecture of E. Milman for every smooth two-sphere with Gaussian curvature at least one and gives an analogous result for nonnegatively curved disks whose boundary has geodesic curvature one. The spherical result proves the two-dimensional case of the spectral comparison conjectured by Colding and Minicozzi. Counterexamples in dimensions n≥3 show that the restriction to dimension two is sharp. Furthermore, an equivariant extension of this construction yields, for every n≥2, a contracting transport map from the uniform probability measure on a round hemisphere to the uniform probability measure on any closed geodesically convex subset of positive volume. This settles the remaining uniform-target case of a question raised by Beck and Jerison. In dimension two, we also find geometric conditions under which the uniform measure on the hemisphere can be transported by a contracting map to a broad class of nonuniform probability measures supported on domains in a hemisphere.</description><category>Mean curvature flow</category><category>Other curvature flows</category><category>Inverse mean curvature flow</category><category>Surfaces</category><category>Free boundary &amp; capillary</category><category>Eigenvalues &amp; spectrum</category></item>
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