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We propose a nonsmooth trust-region method for solving optimization problems with locally Lipschitz continuous functions, with application to problems constrained by variational inequalities of the second kind. Under suitable assumptions on…

Optimization and Control · Mathematics 2018-01-17 Constantin Christof , Juan Carlos De Los Reyes , Christian Meyer

We study a method for calculating the utility function from a candidate of a demand function that is not differentiable, but is locally Lipschitz. Using this method, we obtain two new necessary and sufficient conditions for a candidate of a…

Theoretical Economics · Economics 2024-04-02 Yuhki Hosoya

The classical McShane-Whitney extension theorem for Lipschitz functions is refined by showing that for a closed subset of the domain, it remains valid for any interval of the real line. This result is also extended to the setting of locally…

General Topology · Mathematics 2025-08-08 Valentin Gutev

We study the existence of global implicit functions for equations defined on open subsets of Banach spaces. The partial derivative with respect to the second variable is only required to have a left inverse instead of being invertible.…

Optimization and Control · Mathematics 2021-08-18 Thomas Berger , Frédéric Haller

In this paper we prove existence and multiplicity results of unbounded critical points for a general class of weakly lower semicontinuous functionals. We will apply a suitable nonsmooth critical point theory.

Analysis of PDEs · Mathematics 2016-09-07 Benedetta Pellacci , Marco Squassina

We consider the problem of finding sufficient conditions for a locally Lipschitz mapping between Finsler manifolds to be a global homeomorphism. For this purpose, we develop the notion of Clarke generalized differential in this context and,…

Functional Analysis · Mathematics 2012-01-24 Jesus A. Jaramillo , Oscar Madiedo , Luis Sanchez-Gonzalez

We formulate some global invertibility and implicit function theorems. We extend the result of Idczak, Skowron and Walczak on the invertibility of the operators to the case of the operators with critical points. The proof relies on the…

Functional Analysis · Mathematics 2015-11-27 Dorota Bors , Robert Stańczy

We present a generalization of the inverse mapping theorem, where variations of a weaker non-expansiveness property (referred to as property ${\sf A}$) replace the key $\mathsf{C}^1$ condition. We also obtain inverse mapping theorems that…

Functional Analysis · Mathematics 2026-04-14 Sajjad Lakzian

We prove a global implicit function theorem. In particular we show that any Lipschitz map $f:\bR^n\times \bR^m\to\bR^n$ (with $n$-dim. image) can be precomposed with a bi-Lipschitz map $\bar{g}:\bR^n\times \bR^m\to \bR^n\times \bR^m$ such…

Metric Geometry · Mathematics 2015-03-19 Jonas Azzam , Raanan Schul

In this paper we prove an inverse function theorem in derived differential geometry. More concretely, we show that a morphism of curved $L_\infty$ spaces which is a quasi-isomorphism at a point has a local homotopy inverse. This theorem…

Differential Geometry · Mathematics 2022-07-29 Lino Amorim , Junwu Tu

We give several versions of local and global inverse mapping theorem for tame non necessarily smooth, mappings. Here tame mapping means a mapping which is subanalytic or, more generally, definable in some o-minimal structure. Our sufficient…

Geometric Topology · Mathematics 2007-12-18 Toshizumi Fukui , Krzysztof Kurdyka , Laurentiu Paunescu

Using tools and results from geometric measure theory, we give a simple new proof of the main result (Theorem 1.3) in K. Kondo and M. Tanaka, Approximation of Lipschitz Maps via Immersions and Differentiable Exotic Sphere Theorems,…

Differential Geometry · Mathematics 2019-04-02 Siran Li

The Gromoll-Meyer's generalized Morse lemma (so called splitting lemma) near degenerate critical points on Hilbert spaces, which is one of key results in infinite dimensional Morse theory, is usually stated for at least $C^2$-smooth…

Functional Analysis · Mathematics 2014-06-12 Guangcun Lu

This book is devoted to finite-dimensional problems of non-convex non-smooth optimization and numerical methods for their solution. The problem of nonconvexity is studied in the book on two main models of nonconvex dependencies: these are…

Optimization and Control · Mathematics 2024-06-18 V. S. Mikhalevich , A. M. Gupal , V. I. Norkin

We study the oracle complexity of nonsmooth nonconvex optimization, with the algorithm assumed to have access only to local function information. It has been shown by Davis, Drusvyatskiy, and Jiang (2023) that for nonsmooth Lipschitz…

Optimization and Control · Mathematics 2024-09-17 Guy Kornowski , Swati Padmanabhan , Ohad Shamir

Since the Hadamard Theorem, several metric and topological conditions have emerged in the literature to date, yielding global inversion and implicit theorems for functions in different settings. Relevant examples are the mappings between…

Metric Geometry · Mathematics 2018-11-09 Olivia Gutú

We show that sweeping processes with possibly non-convex prox-regular constraints generate a strongly continuous input-output mapping in the space of absolutely continuous functions. Under additional smoothness assumptions on the constraint…

Dynamical Systems · Mathematics 2021-06-29 Pavel Krejci , Giselle Antunes Monteiro , Vincenzo Recupero

We introduce a constructive method that provides the local solution of general implicit systems in arbitrary dimension via Hamiltonian type equations. A variant of this approach constructs parametrizations of the manifold, extending the…

Classical Analysis and ODEs · Mathematics 2019-09-18 Dan Tiba

In this paper we study the nonlinear Dirichlet problem involving p(x)-Laplacian (hemivariational inequality) with nonsmooth potential. By using nonsmooth critical point theory for locally Lipschitz functionals due to Chang and the…

Analysis of PDEs · Mathematics 2014-11-04 Sylwia Barnaś

Smoothness and low dimensional structures play central roles in improving generalization and stability in learning and statistics. This work combines techniques from semi-infinite constrained learning and manifold regularization to learn…

Machine Learning · Computer Science 2023-02-03 Juan Cervino , Luiz F. O. Chamon , Benjamin D. Haeffele , Rene Vidal , Alejandro Ribeiro