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The paper studies a general norm minimization problem on a product of normed vector spaces. We establish dual necessary and sufficient optimality conditions and derive explicit formulas for the corresponding solution sets. These formulas…

Optimization and Control · Mathematics 2026-01-14 Nguyen Duy Cuong

Substatic Riemannian manifolds with minimal boundary arise naturally in General Relativity as spatial slices of static spacetimes satisfying the Null Energy Condition. Moreover, they constitute a vast generalization of nonnegative Ricci…

Differential Geometry · Mathematics 2023-07-28 Stefano Borghini , Mattia Fogagnolo

In this note, we show that sub-Riemannian manifolds can contain branching normal minimizing geodesics. This phenomenon occurs if and only if a normal geodesic has a discontinuity in its rank at a non-zero time, which in particular for a…

Differential Geometry · Mathematics 2020-09-28 Thomas Mietton , Luca Rizzi

We study local asymptotic normality of M-estimates of convex minimization in an infinite dimensional parameter space. The objective function of M-estimates is not necessary differentiable and is possibly subject to convex constraints. In…

Statistics Theory · Mathematics 2017-04-11 Kosaku Takanashi

We classify extremal curves in free nilpotent Lie groups. The classification is obtained via an explicit integration of the adjoint equation in Pontryagin Maximum Principle. It turns out that abnormal extremals are precisely the horizontal…

Differential Geometry · Mathematics 2013-07-22 Enrico Le Donne , Gian Paolo Leonardi , Roberto Monti , Davide Vittone

We address in this paper the study of a geometric evolution, corresponding to a curvature which is non-local and singular at the origin. The curvature represents the first variation of the energy recently proposed as a variant of the…

Analysis of PDEs · Mathematics 2012-01-26 Antonin Chambolle , Massimiliano Morini , Marcello Ponsiglione

We study the consequences of the equivalence between the least gradient problem and a boundary-to-boundary optimal transport problem in two dimensions. We extend the relationship between the two problems to their respective dual problems,…

Analysis of PDEs · Mathematics 2021-02-12 Wojciech Górny

We show that in all homotopy classes of mappings from complex projective space to Riemannian manifolds, the infimum of the energy is proportional to the infimal area in the homotopy class of mappings of the 2-sphere which represents the…

Differential Geometry · Mathematics 2024-11-14 Joseph Hoisington

We investigate the properties of minimizers of one-dimensional variational problems when the Lagrangian has no higher smoothness than continuity. An elementary approximation result is proved, but it is shown that this cannot be in general…

Classical Analysis and ODEs · Mathematics 2017-04-12 Richard Gratwick

This survey concerns regular graphs that are extremal with respect to the number of independent sets, and more generally, graph homomorphisms. More precisely, in the family of of $d$-regular graphs, which graph $G$ maximizes/minimizes the…

Combinatorics · Mathematics 2017-11-03 Yufei Zhao

We study the existence and properties of metrics maximising the first Laplace eigenvalue among conformal metrics of unit volume on Riemannian surfaces. We describe a general approach to this problem and its higher eigenvalue versions via…

Spectral Theory · Mathematics 2014-03-13 Gerasim Kokarev

This paper studies the hierarchy of local minimums of a polynomial in the space. For this purpose, we first compute H-minimums, for which the first and second order optimality conditions are satisfied. To compute each H-minimum, we…

Optimization and Control · Mathematics 2014-11-26 Jiawang Nie

We prove existence and regularity of optimal shapes for the problem$$\min\Big\{P(\Omega)+\mathcal{G}(\Omega):\ \Omega\subset D,\ |\Omega|=m\Big\},$$where $P$ denotes the perimeter, $|\cdot|$ is the volume, and the functional $\mathcal{G}$…

Optimization and Control · Mathematics 2016-09-20 Guido De Philippis , Jimmy Lamboley , Michel Pierre , Bozhidar Velichkov

Second order systems whose drift is defined by the gradient of a given potential are considered, and minimization of the $L^1$-norm of the control is addressed. An analysis of the extremal flow emphasizes the role of singular trajectories…

Optimization and Control · Mathematics 2015-12-18 Zheng Chen , Jean-Baptiste Caillau , Yacine Chitour

A 3D almost-Riemannian manifold is a generalized Riemannian manifold defined locally by 3 vector fields that play the role of an orthonormal frame, but could become collinear on some set $\Zz$ called the singular set. Under the Hormander…

Optimization and Control · Mathematics 2014-07-03 Ugo Boscain , Grégoire Charlot , Moussa Gaye , Paolo Mason

An almost-Riemannian structure on a surface is a generalized Riemannian structure whose local orthonormal frames are given by Lie bracket generating pairs of vector fields that can become collinear. The distribution generated locally by…

Differential Geometry · Mathematics 2012-03-06 Roberta Ghezzi

We provide an approximation result for the pure traction problem of linearized elasticity in terms of local minimizers of finite elasticity, under the constraint of vanishing average curl for admissible deformation maps. When suitable…

Analysis of PDEs · Mathematics 2022-01-26 Edoardo Mainini , Roberto Ognibene , Danilo Percivale

The computational power of quantum phases of matter with symmetry can be accessed through local measurements, but what is the most efficient way of doing so? In this work, we show that minimizing operational resources in measurement-based…

Quantum Physics · Physics 2026-02-03 Lukas Hantzko , Arnab Adhikary , Robert Raussendorf

We are concerned with the dependence of the lowest positive eigenvalue of the Dirac operator on the geometry of rectangles, subject to infinite-mass boundary conditions. We conjecture that the square is a global minimiser both under the…

Spectral Theory · Mathematics 2022-08-22 Philippe Briet , David Krejcirik

In this paper, we introduce several geometric characterizations for strong minima of optimization problems. Applying these results to nuclear norm minimization problems allows us to obtain new necessary and sufficient quantitative…

Optimization and Control · Mathematics 2023-08-21 Jalal Fadili , Tran T. A. Nghia , Duy Nhat Phan