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In this paper, we study singular heat flows from a 3-dimensional complete bounded Riemannian manifold without boundary into the hyperbolic space with prescribe singularity along a closed curve. We prove the existence and regularity of the…

Analysis of PDEs · Mathematics 2024-12-20 Jie Ji , Jingru Niu

We relate the existence problem of harmonic maps into $S^2$ to the convex geometry of $S^2$. On one hand, this allows us to construct new examples of harmonic maps of degree 0 from compact surfaces of arbitrary genus into $S^2$. On the…

Differential Geometry · Mathematics 2019-11-05 Renan Assimos , Jürgen Jost

In this paper, we first establish regularity of the heat flow of biharmonic maps into the unit sphere $S^L\subset\mathbb R^{L+1}$ under a smallness condition of renormalized total energy. For the class of such solutions to the heat flow of…

Analysis of PDEs · Mathematics 2025-06-30 Jay Hineman , Tao Huang , Changyou Wang

Let $F:\Sigma^n \times [0,T)\to \R^{n+m}$ be a family of compact immersed submanifolds moving by their mean curvature vectors. We show the Gauss maps $\gamma:(\Sigma^n, g_t)\to G(n, m)$ form a harmonic heat flow with respect to the…

Differential Geometry · Mathematics 2007-05-23 Mu-Tao Wang

Effects of geometric constraints on a steady flow potential are described by an elliptic-hyperbolic generalization of the harmonic map equations. Sufficient conditions are given for global triviality.

Mathematical Physics · Physics 2007-05-23 Thomas H. Otway

In this paper, we extend the Hamilton's gradient estimates \cite{har93} and a monotonicity formula of entropy \cite{ni04} for heat flows from smooth Riemannian manifolds to (non-smooth) metric measure spaces with appropriate Riemannian…

Metric Geometry · Mathematics 2015-12-29 Renjin Jiang , Huichun Zhang

A central part of geometric statistics is to compute the Fr\'echet mean. This is a well-known intrinsic mean on a Riemannian manifold that minimizes the sum of squared Riemannian distances from the mean point to all other data points. The…

Machine Learning · Statistics 2025-11-07 Frederik Möbius Rygaard , Søren Hauberg , Steen Markvorsen

Consider the geodesic flow on a real-analytic closed hypersurface $M$ of $\mathbb{R}^n$, equipped with the standard Euclidean metric. The flow is entirely determined by the manifold and the Riemannian metric. Typically, geodesic flows are…

Dynamical Systems · Mathematics 2022-09-13 Andrew Clarke

In this paper we study a class of Riemannian metrics on the space of unparametrized curves and develop a method to compute geodesics with given boundary conditions. It extends previous works on this topic in several important ways. The…

Differential Geometry · Mathematics 2018-09-21 Martin Bauer , Martins Bruveris , Nicolas Charon , Jakob Møller-Andersen

In this paper, we address the problem of optimizing flows on generalized graphs that feature multiple entry points and multiple populations, each with varying cost structures. We tackle this problem by considering the multi-population…

Systems and Control · Electrical Eng. & Systems 2025-04-23 Tigran Bakaryan , Christoph Aoun , Ricardo de Lima Ribeiro , Naira Hovakimyan , Diogo Gomes

We introduce a new approach to prove the global existence and uniqueness of suitable weak solutions of the heat flow of harmonic mappings into CAT(0) metric spaces. Our method allows also to prove Lipschitz continuity in spatial variables…

Analysis of PDEs · Mathematics 2026-04-07 Fang-Hua Lin , Antonio Segatti , Yannick Sire , Changyou Wang

We present a new framework for statistical inference on Riemannian manifolds that achieves high-order accuracy, addressing the challenges posed by non-Euclidean parameter spaces frequently encountered in modern data science. Our approach…

Statistics Theory · Mathematics 2026-02-03 Chengzhu Huang , Anru R. Zhang

We study polyharmonic (k-harmonic) maps between Riemannian manifolds with finite j-energies (j=1, cdots, 2k-2). We show if the domain is complete and the target is the Euclidean space, then such a map is harmonic.

Differential Geometry · Mathematics 2013-08-06 Nobumitsu Nakauchi , Hajime Urakawa

The purpose of this paper is to discuss the relationship between commutative and non-commutative integrability of Hamiltonian systems and to construct new examples of integrable geodesic flows on Riemannian manifolds. In particular, we…

Mathematical Physics · Physics 2007-05-23 Alexey V. Bolsinov , Bozidar Jovanovic

We announce a generalization of Zimmer's cocycle superrigidity theorem proven using harmonic map techniques. This allows us to generalize many results concerning higher rank lattices to all lattices in semisimple groups with property $(T)$.…

Differential Geometry · Mathematics 2007-05-23 David Fisher , Theron Hitchman

We are interested in the challenging problem of modelling densities on Riemannian manifolds with a known symmetry group using normalising flows. This has many potential applications in physical sciences such as molecular dynamics and…

Machine Learning · Statistics 2021-10-05 Danilo J. Rezende , Sébastien Racanière

Resorting to classical techniques of Riemannian geometry we develop a geometrical method suitable to investigate the nonintegrability of geodesic flows and of natural Hamiltonian systems. Then we apply such method to the Anisotropic Kepler…

Chaotic Dynamics · Physics 2007-05-23 Manuele Santoprete

We study generic Riemannian submersions from nearly Kaehler manifolds onto Riemannian manifolds. We investigate conditions for the integrability of various distributions arising for generic Riemannian submersions and also obtain conditions…

Differential Geometry · Mathematics 2020-08-19 Rupali Kaushal , Rashmi Sachdeva , Rakesh Kumar , R. K. Nagaich

We consider the problem of embedding the nodes of a hypergraph into Euclidean space under the assumption that the interactions arose through closeness to unknown hyperedge centres. In this way, we tackle the inverse problem associated with…

Social and Information Networks · Computer Science 2025-09-11 Francesco Zigliotto , Desmond J. Higham

Riemannian optimization uses local methods to solve optimization problems whose constraint set is a smooth manifold. A linear step along some descent direction usually leaves the constraints, and hence retraction maps are used to…

Statistics Theory · Mathematics 2023-01-19 Alexander Heaton , Matthias Himmelmann
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