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The paper introduces and studies the notions of Lipschitzian and H\"olderian full stability of solutions to three-parametric variational systems described in the generalized equation formalism involving nonsmooth base mappings and partial…

Optimization and Control · Mathematics 2017-08-23 Boris S. Mordukhovich , Tran T. A. Nghia , Dat T. Pham

We consider sampling strategies for a class of multivariate bandlimited functions $f$ that have a spectrum consisting of disjoint frequency bands. Taking advantage of the special spectral structure, we provide formulas relating $f$ to the…

Functional Analysis · Mathematics 2018-04-18 Christina Frederick

Previously, the authors reported direct evidence of channel saturation and conductance quantization in atomic-sized gold constrictions through mechanical perturbation studies, and also showed that peaks in conductance histograms are…

Mesoscale and Nanoscale Physics · Physics 2011-04-07 Jason N. Armstrong , Susan Z. Hua , Harsh Deep Chopra

A moduli space of stable quotients of the rank n trivial sheaf on stable curves is introduced. Over nonsingular curves, the moduli space is Grothendieck's Quot scheme. Over nodal curves, a relative construction is made to keep the torsion…

Algebraic Geometry · Mathematics 2014-11-11 A. Marian , D. Oprea , R. Pandharipande

Why do deep networks generalize well? In contrast to classical generalization theory, we approach this fundamental question by examining not only inputs and outputs, but the evolution of internal features. Our study suggests a phenomenon of…

Machine Learning · Computer Science 2025-10-06 Tianyu Ruan , Kuo Gai , Shihua Zhang

On a triangulated category $\mathbf D$ equipped with a semiorthogonal decomposition $\mathbf D=\langle{\mathbf D_{1}},{\mathbf D_{2}}\rangle$, Collins and Polishchuk develop a gluing construction of stability condition on $\mathbf D$. The…

Algebraic Geometry · Mathematics 2021-09-15 Kotaro Kawatani

Motivated by the problem of dealing with incomplete or imprecise acquisition of data in computer vision and computer graphics, we extend results concerning the stability of persistent homology with respect to function perturbations to…

Algebraic Topology · Mathematics 2010-05-11 Patrizio Frosini , Claudia Landi

The absence, so far, of any graviton signatures at the LHC imposes severe constraints on the Randall-Sundrum scenario. Although a generalization to higher dimensions with nested warpings has been shown to avoid these constraints, apart from…

High Energy Physics - Theory · Physics 2017-09-04 Mathew Thomas Arun , Debajyoti Choudhury

Let $\overline{M}$ be a compact smoothly stratified pseudo-manifold endowed with a wedge metric $g$. Let $\overline{M}_\Gamma$ be a Galois $\Gamma$-covering. Under additional assumptions on $\overline{M}$, satisfied for example by Witt…

Differential Geometry · Mathematics 2024-09-12 Francesco Bei , Paolo Piazza , Boris Vertman

We study generically stable types/measures in both classical and continuous logics, and their connection with randomization and modes of convergence of types/measures.

Logic · Mathematics 2025-08-27 Karim Khanaki

We analyse the stability of periodic, travelling-wave solutions to the Kawahara equation and some of its generalizations. We determine the parameter regime for which these solutions can exhibit resonance. By examining perturbations of…

Pattern Formation and Solitons · Physics 2018-06-25 O. Trichtchenko , B. Deconinck , R. Kollar

We consider families of transformations in multidimensional Riemannian manifolds with non-uniformly expanding behavior. We give sufficient conditions for the continuous variation (in the $L^1$-norm) of the densities of absolutely continuous…

Dynamical Systems · Mathematics 2009-11-10 Jose F. Alves

Regular spatial structures emerge in a wide range of different dynamics characterized by local and/or nonlocal coupling terms. In several research fields this has spurred the study of many models, which can explain pattern formation. The…

Statistical Mechanics · Physics 2021-02-24 Stefano Garlaschi , Deepak Gupta , Amos Maritan , Sandro Azaele

Stochastic gradient descent (SGD) performed in an asynchronous manner plays a crucial role in training large-scale machine learning models. However, the generalization performance of asynchronous delayed SGD, which is an essential metric…

Machine Learning · Computer Science 2025-05-27 Xiaoge Deng , Li Shen , Shengwei Li , Tao Sun , Dongsheng Li , Dacheng Tao

The existence of a fundamental length (or fundamental time) has been conjectured in many contexts. However, the "stability of physical theories principle" seems to be the one that provides, through the tools of algebraic deformation theory,…

High Energy Physics - Theory · Physics 2015-06-03 R. Vilela Mendes

We study the recently introduced stability training as a general-purpose method to increase the robustness of deep neural networks against input perturbations. In particular, we explore its use as an alternative to data augmentation and…

Machine Learning · Computer Science 2019-11-14 Jan Laermann , Wojciech Samek , Nils Strodthoff

Suppose that the origin is globally asymptotically stable under a set of continuous vector fields on Euclidean space and suppose that all those vector fields come equipped with -- possibly different -- convex Lyapunov functions. We show…

Optimization and Control · Mathematics 2026-01-12 Wouter Jongeneel , Roland Schwan

We develop foundational aspects of stability theory in affine logic. On the one hand, we prove appropriate affine versions of many classical results, including definability of types, existence of non-forking extensions, and other…

Logic · Mathematics 2026-03-11 Itaï Ben Yaacov , Tomás Ibarlucía

We prove sharp regularity estimates for solutions of highly degenerate fully nonlinear elliptic equations. These are free boundary models in which a nonlinear diffusion process drives the system only in the region where the gradient…

Analysis of PDEs · Mathematics 2024-01-17 Damião Araújo , Aelson Sobral , Eduardo V. Teixeira

In this paper, we claim the availability of deterministic noises for stabilization of the origins of dynamical systems, provided that the noises have unbounded variations. To achieve the result, we first consider the system representations…

Systems and Control · Computer Science 2022-09-20 Yuki Nishimura
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