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<title>Toru Kajigaya — Neckpinch</title><link>https://neckpinch.com/authors/toru-kajigaya/</link><description>New arXiv papers by Toru Kajigaya, from Neckpinch</description>
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<item><title>Convergence of cohomogeneity-one Lagrangian mean curvature flow in positive Kähler-Einstein manifolds</title><link>https://neckpinch.com/papers/2609.23627/</link><guid isPermaLink="false">arxiv:2609.23627</guid><pubDate>Sun, 20 Sep 2026 00:00:00 GMT</pubDate><description>Naotoshi Fujihara, Toru Kajigaya, Albert Wood — We prove that Lagrangian mean curvature flow starting from a closed, embedded, cohomogeneity-one Lagrangian in a closed, positive Kähler–Einstein manifold exists for all time, remains embedded, and converges smoothly and graphically to a minimal Lagrangian, under natural exactness and regularity assumptions. We also study the generalised Lagrangian mean curvature flow of Behrndt in Kähler manifolds which are almost-Einstein in the sense that the Ricci form satisfies ρ= Cω+ ndd^cf, and which satisfy C&gt;0. With analogous assumptions on the flow, we obtain subconvergence to an f-minimal Lagrangian submanifold, with an upgrade to smooth graphical convergence in the case that (M,g,f) is analytic. The proof proceeds by first reducing the flow to a weighted curve shortening flow on a compact two-dimensional orbifold. We then establish both a Grayson-type description of finite-time singularities and a long-time subconvergence theorem for weighted curve shortening flow in the orbifold setting. Finally, we use a Łojasiewicz–Simon inequality argument to upgrade to smooth convergence of the full flow.</description><category>Mean curvature flow</category><category>Curve shortening</category><category>Lagrangian mean curvature flow</category><category>Einstein metrics</category><category>Singularities</category><category>Surfaces</category><category>Kähler geometry</category><category>Homogeneous spaces</category><category>Long-time existence &amp; convergence</category><category>Kähler–Einstein &amp; K-stability</category></item>
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