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Based on the tools of limiting variational analysis, we derive a sequential necessary optimality condition for nonsmooth mathematical programs which holds without any additional assumptions. In order to ensure that stationary points in this…

Optimization and Control · Mathematics 2023-06-22 Patrick Mehlitz

A new efficient orthogonalization of the B-spline basis is proposed and contrasted with some previous orthogonalized methods. The resulting orthogonal basis of splines is best visualized as a net of functions rather than a sequence of them.…

Statistics Theory · Mathematics 2020-01-24 Xijia Liu , Hiba Nassar , Krzysztof PodgÓrski

In this article we introduce powerful tools and techniques from invariant theory to free analysis. This enables us to study free maps with involution. These maps are free noncommutative analogs of real analytic functions of several…

Rings and Algebras · Mathematics 2019-08-15 Igor Klep , Špela Špenko

We investigate the sparse spikes deconvolution problem onto spaces of algebraic polynomials. Our framework encompasses the measure reconstruction problem from a combination of noiseless and noisy moment measurements. We study a TV-norm…

Statistics Theory · Mathematics 2015-05-28 Yohann De Castro , Guillaume Mijoule

This paper investigates the stability of the least squares approximation $P_m^n$ within the univariate polynomial space of degree $m$, denoted by ${\mathbb P}_m$. The approximation $P_m^n$ entails identifying a polynomial in ${\mathbb P}_m$…

Numerical Analysis · Mathematics 2026-02-17 Zhiqiang Xu , Xinyue Zhang

We formulate and discuss a necessary and sufficient condition for polynomials to be dense in a space of continuous functions on the real line, with respect to Bernstein's weighted uniform norm. Equivalently, for a positive finite measure…

Complex Variables · Mathematics 2011-11-01 Alexei Poltoratski

A classical result of Carleman, based on the theory of quasianalytic functions, shows that polynomials are dense in $L^2(\mu)$ for any $\mu$ such that the moments $\int x^k d\mu$ do not grow too rapidly as $k \to \infty$. In this work, we…

Probability · Mathematics 2025-12-05 Frederic Koehler , Beining Wu

Tests of the integrality properties of a scalar operator in topological strings on a resolved conifold background or orientifold of conifold backgrounds have been performed for arborescent knots and some non-arborescent knots. The recent…

High Energy Physics - Theory · Physics 2018-01-25 A. Mironov , A. Morozov , An. Morozov , P. Ramadevi , Vivek Kumar Singh , A. Sleptsov

Let F = F_p for any fixed prime p >= 2. An affine-invariant property is a property of functions on F^n that is closed under taking affine transformations of the domain. We prove that all affine-invariant property having local…

Computational Complexity · Computer Science 2013-01-18 Arnab Bhattacharyya , Eldar Fischer , Hamed Hatami , Pooya Hatami , Shachar Lovett

In this paper we present necessary and sufficient conditions (in terms of {\L}ojasiewicz inequalities) for the stability of local minimum points in smooth unconstrained optimization. In particular, we derive a sufficient condition for which…

Optimization and Control · Mathematics 2026-02-17 Tien-Son Pham

We generalize two main theorems of matching polynomials of undirected simple graphs, namely, real-rootedness and the Heilmann-Lieb root bound. Viewing the matching polynomial of a graph $G$ as the independence polynomial of the line graph…

Combinatorics · Mathematics 2019-02-20 Jonathan Leake , Nick Ryder

Empirical analysis of many colored knot polynomials, made possible by recent computational advances in Chern-Simons theory, reveals their stability: for any given negative N and any given knot the set of coefficients of the polynomial in…

High Energy Physics - Theory · Physics 2015-09-03 Ya. Kononov , A. Morozov

Most approximation methods in high dimensions exploit smoothness of the function being approximated. These methods provide poor convergence results for non-smooth functions with kinks. For example, such kinks can arise in the uncertainty…

Numerical Analysis · Mathematics 2019-02-19 Barbara Fuchs , Jochen Garcke

We construct new knot polynomials. Let $V$ be the standard solid torus in 3-space and let $pr$ be its standard projection onto an annulus. Let $M$ be the space of all smooth oriented knots in $V$ such that the restriction of $pr$ is an…

Geometric Topology · Mathematics 2007-05-23 Thomas Fiedler

Recent research has shown that piecewise smooth (PS) functions can be approximated by piecewise linear functions with second order error in the distance to a given reference point. A semismooth Newton type algorithm based on successive…

Optimization and Control · Mathematics 2018-08-02 Manuel Radons , Lutz Lehmann , Tom Streubel , Andreas Griewank

We study structural conditions in dense graphs that guarantee the existence of vertex-spanning substructures such as Hamilton cycles. It is easy to see that every Hamiltonian graph is connected, has a perfect fractional matching and,…

Combinatorics · Mathematics 2023-06-21 Richard Lang , Nicolás Sanhueza-Matamala

For the class of non-degenerate box splines, we prove that these box splines are piecewise polynomial. This is not a new result, it is in fact a well known and useful property of box splines. However, our proof is constructive, and the main…

Numerical Analysis · Mathematics 2016-06-30 Joshua Horacsek , Usman Alim

The main purpose of this paper is to formulate new conditions for smooth linearization of nonautonomous systems with discrete and continuous time. Our results assume that the linear part admits a nonuniform polynomial dichotomy and that the…

Dynamical Systems · Mathematics 2022-10-11 Lucas Backes , Davor Dragicevic , Wenmeng Zhang

We introduce the notion of semi-characteristic polynomial for a semi-linear map of a finite- dimensional vector space over a field of characteristic p. This polynomial has some properties in common with the classical characteristic…

Representation Theory · Mathematics 2011-05-23 Jérémy Le Borgne

We introduce a new framework for analyzing (Quasi-}Newton type methods applied to non-smooth optimization problems. The source of randomness comes from the evaluation of the (approximation) of the Hessian. We derive, using a variant of…

Optimization and Control · Mathematics 2025-03-05 Titus Pinta