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We prove a variant of the Chance-McDuff conjecture for pseudo-rotations: under certain additional conditions, a closed symplectic manifold which admits a Hamiltonian pseudo-rotation must have deformed quantum product and, in particular,…

Symplectic Geometry · Mathematics 2019-08-08 Erman Cineli , Viktor L. Ginzburg , Basak Z. Gurel

We present a method for proving the existence of solutions to a class of one dimensional variational problems. The method is demonstrated by two examples of optimal interpolation problems which are motivated by engineering applications. In…

Differential Geometry · Mathematics 2014-02-25 Philip Schrader

Rigidity results are obtained for Riemannian $d$-manifolds with $\sec \geqslant 1$ and spherical rank at least $d-2>0$. Conjecturally, all such manifolds are locally isometric to a round sphere or complex projective space with the…

Differential Geometry · Mathematics 2014-09-29 Benjamin Schmidt , Krishnan Shankar , Ralf Spatzier

We consider the question of quantitative stability of minimisers for a well-known variational problem for which the infimum of the energy is not achieved in the classical sense, namely for the Dirichlet energy of degree $1$ maps from closed…

Analysis of PDEs · Mathematics 2026-03-27 Melanie Rupflin , Sebastian Woodward

This paper studies a variational obstacle avoidance problem on complete Riemannian manifolds. That is, we minimize an action functional, among a set of admissible curves, which depends on an artificial potential function used to avoid…

Optimization and Control · Mathematics 2022-01-13 Jacob R. Goodman

We develop a general compactification framework to facilitate analysis of nonlinear nonautonomous ODEs where nonautonomous terms decay asymptotically. The strategy is to compactify the problem: the phase space is augmented with a bounded…

Dynamical Systems · Mathematics 2021-07-07 Sebastian Wieczorek , Chun Xie , Chris K. R. T. Jones

We study scale-invariant geometric quantities associated with embedded closed curves in Euclidean three-space, with an emphasis on their behavior under optimization within a fixed knot type. Given a Euclidean-invariant and scale-covariant…

Geometric Topology · Mathematics 2026-05-01 Makoto Ozawa

We introduce an invariant linked to some foundational questions in geometric measure theory and provide bounds on this invariant by decomposing an arbitrary cycle into uniformly rectifiable pieces. Our invariant measures the difficulty of…

Differential Geometry · Mathematics 2018-02-21 Robert Young

This paper sets up an approach for shape optimization problems constrained by variational inequalities (VI) in an appropriate shape space. In contrast to classical VI, where no explicit dependence on the domain is given, VI constrained…

Optimization and Control · Mathematics 2024-03-12 Tim Suchan , Volker Schulz , Kathrin Welker

In general, the critical points of the distance function $d_{\mathsf{M}}$ to a compact submanifold $\mathsf{M} \subset \mathbb{R}^D$ can be poorly behaved. In this article, we show that this is generically not the case by listing regularity…

Differential Geometry · Mathematics 2024-05-24 Charles Arnal , David Cohen-Steiner , Vincent Divol

This paper develops a novel approach to necessary optimality conditions for constrained variational problems defined in generally incomplete subspaces of absolutely continuous functions. Our approach involves reducing a variational problem…

Optimization and Control · Mathematics 2021-11-01 Ashkan Mohammadi , Boris Mordukhovich

We define an analogue of the Arnold surface for odd degree flexible curves, and we use it to double branch cover $Q$-flexible embeddings, where $Q$-flexible is a condition to be added to the classical notion of a flexible curve. This allows…

Algebraic Geometry · Mathematics 2024-04-17 Anthony Saint-Criq

In this paper we start a detailed study of a new notion of rectifiability in Carnot groups: we say that a Radon measure is $\mathscr{P}_h$-rectifiable, for $h\in\mathbb N$, if it has positive $h$-lower density and finite $h$-upper density…

Metric Geometry · Mathematics 2022-02-28 Gioacchino Antonelli , Andrea Merlo

The focus of this article is the approximation of functions which are analytic on a compact interval except at the endpoints. Typical numerical methods for approximating such functions depend upon the use of particular conformal maps from…

Numerical Analysis · Mathematics 2014-05-05 Ben Adcock , Mark Richardson

It is hereby established that, in Euclidean spaces of finite dimension, bounded self-contracted curves have finite length. This extends the main result of Daniilidis, Ley, and Sabourau (J. Math. Pures Appl. 2010) concerning continuous…

Classical Analysis and ODEs · Mathematics 2012-11-15 Aris Daniilidis , Guy David , Estibalitz Durand-Cartagena , Antoine Lemenant

Roughness determines many functional properties of surfaces, such as adhesion, friction, and (thermal and electrical) contact conductance. Recent analytical models and simulations enable quantitative prediction of these properties from…

Materials Science · Physics 2017-01-31 Tevis Jacobs , Till Junge , Lars Pastewka

In this paper we prove general criticality criteria for operators $\Delta + V$ on manifolds with more than one end, where $V$ bounds the Ricci curvature, and a related spectral splitting theorem extending Cheeger-Gromoll's one. Our results…

Differential Geometry · Mathematics 2026-04-10 Giovanni Catino , Luciano Mari , Paolo Mastrolia , Alberto Roncoroni

We use admissible covers to characterize irreducible stable curves that are $(d,h)$-elliptic, that is, that are limits of smooth curves admiting finite maps of degree-$d$ to smooth curves of genus $h\geq 1$.

Algebraic Geometry · Mathematics 2026-02-05 Juliana Coelho , Renata Costa

We prove that if $ V $ is a $ n $-dimensional varifold in an open subset of $ \mathbf{R}^{n+1} $ with bounded anisotropic mean curvature such that $ {\rm spt} \| V \| $ has locally finite $ \mathscr{H}^n $-measure, then $ {\rm spt} \| V \|…

Analysis of PDEs · Mathematics 2026-01-29 Sławomir Kolasiński , Mario Santilli

Variational inference (VI) is a computationally efficient and scalable methodology for approximate Bayesian inference. It strikes a balance between accuracy of uncertainty quantification and practical tractability. It excels at generative…

Machine Learning · Statistics 2025-04-15 Alex Glyn-Davies , Arnaud Vadeboncoeur , O. Deniz Akyildiz , Ieva Kazlauskaite , Mark Girolami