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Generalized Maxwell distribution is an extension of the classic Maxwell distribution. In this paper, we concentrate on the joint distributional asymptotics of normalized maxima and minima. Under optimal normalizing constants, asymptotic…

Probability · Mathematics 2020-03-10 Jianwen Huang

In this short paper, I recall the history of dealing with the lack of compactness of a sequence in the case of an unbounded domain and prove the vanishing Lions-type result for a sequence of Lebesgue-measurable functions. This lemma…

Analysis of PDEs · Mathematics 2023-01-12 Magdalena Chmara

Our goal is to find asymptotic formulas for orthonormal polynomials $P_{n}(z)$ with the recurrence coefficients slowly stabilizing as $n\to\infty$. To that end, we develop spectral theory of Jacobi operators with long-range coefficients and…

Classical Analysis and ODEs · Mathematics 2020-02-18 D. R. Yafaev

We establish local regularity results for minimizers of autonomous vectorial integrals of Calculus of Variations, assuming $\psi$-growth conditions and imposing $\varphi$-quasiconvexity only in an asymptotic sense, both in the sub-quadratic…

Analysis of PDEs · Mathematics 2025-04-08 Francesca Angrisani

We establish minimax convergence rates for classification of functional data and for nonparametric regression with functional design variables. The optimal rates are of logarithmic type under smoothness constraints on the functional density…

Statistics Theory · Mathematics 2016-03-31 Alexander Meister

An usual problem in statistics consists in estimating the minimizer of a convex function. When we have to deal with large samples taking values in high dimensional spaces, stochastic gradient algorithms and their averaged versions are…

Statistics Theory · Mathematics 2022-01-12 Antoine Godichon-Baggioni

We investigate the convergence of series of random variables with second exponential moments. We give sufficient conditions for the convergence of these series with respect to an exponential Orlicz norm and almost surely. Applying this…

Probability · Mathematics 2017-08-22 Fakhreddine Boukhari , Dounyazed Malti

We study the precise asymptotic volume of balls in Orlicz spaces and show that the volume of the intersection of two Orlicz balls undergoes a phase transition when the dimension of the ambient space tends to infinity. This generalizes a…

Functional Analysis · Mathematics 2020-07-14 Zakhar Kabluchko , Joscha Prochno

In this note we extend two characterizations of admissible operators with respect to $\mathrm{L}^p$ to more general Orlicz spaces. The equivalent conditions are given by the property that an associated operator generates a strongly…

Functional Analysis · Mathematics 2022-08-01 René Hosfeld , Birgit Jacob , Felix L. Schwenninger

The {\L}ojasiewicz inequality characterizes objective-value convergence along gradient flows and, in special cases, yields exponential decay of the cost. However, such results do not directly give rates of convergence in the state. In this…

Optimization and Control · Mathematics 2026-03-30 Andreas Oliveira , Arthur C. B. de Oliveira , Mario Sznaier , Eduardo Sontag

We show a rigidity result for subfactors that are normalized by a representation of a lattice $\Gamma$ in a higher rank simple Lie group with trivial center into a finite factor. This implies that every subfactor of $L\Gamma$ which is…

Operator Algebras · Mathematics 2026-04-28 Vadim Alekseev , Rahel Brugger

We consider the minimization of integral functionals in one dimension and their approximation by $r$-adaptive finite elements. Including the grid of the FEM approximation as a variable in the minimization, we are able to show that the…

Numerical Analysis · Mathematics 2025-10-31 Darith Hun , Nicolas Moës , Heiner Olbermann

This paper investigates the zero relaxation limit for general linear hyperbolic relaxation systems and establishes the asymptotic convergence of slow variables under the unimprovable weakest stability condition, akin to the Lax equivalence…

Analysis of PDEs · Mathematics 2023-11-20 Zeyu Jin , Ruo Li

We consider a class of integral functionals with Musielak-Orlicz type variable growth, possibly linear in some regions of the domain. This includes $p(x)$ power-type integrands with $p(x)\ge 1$ as well as double-phase $p\!-\!q$ integrands…

Analysis of PDEs · Mathematics 2025-04-21 Wojciech Górny , Michał Łasica , Alexandros Matsoukas

This work revolves around the rigorous asymptotic analysis of models in nonlocal hyperelasticity. The corresponding variational problems involve integral functionals depending on nonlocal gradients with a finite interaction range $\delta$,…

Analysis of PDEs · Mathematics 2024-04-30 Javier Cueto , Carolin Kreisbeck , Hidde Schönberger

Composite minimization involves a collection of functions which are aggregated in a nonsmooth manner. It covers, as a particular case, smooth approximation of minimax games, minimization of max-type functions, and simple composite…

Optimization and Control · Mathematics 2025-03-04 Yassine Nabou , Ion Necoara

Given a sequence of complex square matrices, $a_n$, consider the sequence of their partial products, defined by $p_n=p_{n-1}a_{n}$. What can be said about the asymptotics as $n\to\infty$ of the sequence $f(p_n)$, where $f$ is a continuous…

Complex Variables · Mathematics 2009-01-12 Douglas Bowman , James Mc Laughlin

In this note we give a derivation of the asymptotic main term for the q-Gamma function as q approaching 1. This formula is valid on all the complex plan except at the poles of the Euler Gamma function.

Classical Analysis and ODEs · Mathematics 2010-11-11 Ruiming Zhang

The aim of this short paper is to show that some assumptions in [10] can be relaxed and even dropped when looking for weak solutions instead of strong ones. This improvement is a consequence of two results concerning gradient terms: an…

Analysis of PDEs · Mathematics 2023-02-24 Umberto Guarnotta , Salvatore A. Marano

Majorization-minimization algorithms consist of successively minimizing a sequence of upper bounds of the objective function so that along the iterations the objective function decreases. Such a simple principle allows to solve a large…

Optimization and Control · Mathematics 2025-03-04 Ion Necoara , Daniela Lupu