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We study existence of minimisers to the least gradient problem on a strictly convex domain in two settings. On a bounded domain, we allow the boundary data to be discontinuous and prove existence of minimisers in terms of the Hausdorff…

Analysis of PDEs · Mathematics 2018-11-28 Wojciech Górny

We revisit the question of existence and regularity of minimizers to weighted least gradient problems on a fixed bounded domain, subject to a Dirichlet boundary condition, in the case where the boundary data is continuous and the weight…

Analysis of PDEs · Mathematics 2019-01-23 Andres Zuniga

We study the planar least gradient problem with respect to an anisotropic norm $\phi$ for continuous boundary data. We prove existence of minimizers for strictly convex domains $\Omega$. Furthermore, we inspect the issue of uniqueness and…

Analysis of PDEs · Mathematics 2018-06-07 Wojciech Górny

In this note we prove that on metric measure spaces, functions of least gradient, as well as local minimizers of the area functional (after modification on a set of measure zero) are continuous everywhere outside their jump sets. As a tool,…

Metric Geometry · Mathematics 2014-10-10 Heikki Hakkarainen , Riikka Korte , Panu Lahti , Nageswari Shanmugalingam

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

The divergence minimization problem plays an important role in various fields. In this note, we focus on differentiable and strictly convex divergences. For some minimization problems, we show the minimizer conditions and the uniqueness of…

Information Theory · Computer Science 2020-01-30 Tomohiro Nishiyama

We propose here a proof of existence of a minimizer of a segmentation functional based on a priori information on target shapes, and formulated with level sets. The existence of a minimizer is very important, because it guarantees the…

Classical Analysis and ODEs · Mathematics 2022-10-25 El Hadji S. Diop , Valérie Burdin , V. B. Surya Prasath

It is well-known that convex variational problems with linear growth and Dirichlet boundary conditions might not have minimizers if the boundary condition is not suitably relaxed. We show that for a wide range of integrands, including the…

Analysis of PDEs · Mathematics 2025-10-03 David Meyer

We establish general assumptions under which a constrained vari- ational problem involving the fractional gradient and a local nonlin- earity admits minimizers.

Analysis of PDEs · Mathematics 2015-03-13 Hichem Hajaiej

We consider the minimizers of $L^{2}$-critical inhomogeneous variational problems with a spatially decaying nonlinear term in an open bounded domain $\Omega$ of $\mathbb{R}^{N}$ which contains $0$. We prove that there is a threshold…

Analysis of PDEs · Mathematics 2022-08-01 Hongfei Zhang , Shu Zhang

We consider the minimization property of a Gagliardo-Slobodeckij seminorm which can be seen as the fractional counterpart of the classical problem of functions of least gradient and which is related to the minimization of the nonlocal…

Analysis of PDEs · Mathematics 2024-07-30 Claudia Bucur , Serena Dipierro , Luca Lombardini , Enrico Valdinoci

We solve explicitly a certain minimization problem for probability measures in one dimension involving an interaction energy that arises in the modelling of aggregation phenomena. We show that in a certain regime minimizers are absolutely…

Mathematical Physics · Physics 2021-09-21 Rupert L. Frank

We study a variational problem motivated by models of species population density in a nonhomogeneous environment. We first analyze local minimizers and the structure of the saturated region (where the population attains its maximal density)…

Analysis of PDEs · Mathematics 2026-01-21 Pu-Zhao Kow , Masato Kimura , Hiroshi Ohtsuka

We consider whether minimizers for total variation regularization of linear inverse problems belong to $L^\infty$ even if the measured data does not. We present a simple proof of boundedness of the minimizer for fixed regularization…

Optimization and Control · Mathematics 2023-06-28 Kristian Bredies , José A. Iglesias , Gwenael Mercier

In this paper, we prove the existence of minimizers of a class of multi-constrained variational problems. We consider systems involving a nonlinearity that does not satisfy compactness, monotonicity, neither symmetry properties. Our…

Analysis of PDEs · Mathematics 2013-10-10 Hichem Hajaiej , Peter A. Markowich , Saber Trabelsi

We study existence of minimizers of the least gradient problem \[\inf_{v \in BV_g} \int_{\Omega}\varphi(x, Dv),\] where $BV_g=\{v \in BV(\Omega): \int_{\partial \Omega}gv=1\}$, $\varphi(x,p): \Omega\times \R^n \rightarrow \R$ is a convex,…

Analysis of PDEs · Mathematics 2017-03-07 Amir Moradifam

In this note we consider a free discontinuity problem for a scalar function, whose energy depends also on the size of the jump. We prove that the gradient of every smooth local minimizer never exceeds a constant, determined only by the data…

Analysis of PDEs · Mathematics 2007-05-23 Gianni Dal Maso , Adriana Garroni

The existence of minimizers in the fractional isoperimetric problem with multiple volume constraints is proved, together with a partial regularity result.

Optimization and Control · Mathematics 2016-05-19 Maria Colombo , Francesco Maggi

This paper is devoted to the study of tilt stability of local minimizers for classical nonlinear programs with equality and inequality constraints in finite dimensions described by twice continuously differentiable functions. The importance…

Optimization and Control · Mathematics 2016-11-24 Helmut Gfrerer , Boris S. Mordukhovich

The minimum status of a graph is the minimum of statuses of all vertices of this graph. We give a sharp upper bound for the minimum status of a connected graph with fixed order and matching number (domination number, respectively), and…

Discrete Mathematics · Computer Science 2019-09-10 Caixia Liang , Bo Zhou , Haiyan Guo
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