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We show that elliptic second order operators $A$ of divergence type fulfill maximal parabolic regularity on distribution spaces, even if the underlying domain is highly non-smooth, the coefficients of $A$ are discontinuous and $A$ is…

Analysis of PDEs · Mathematics 2009-03-03 Robert Haller-Dintelmann , Joachim Rehberg

We initiate the study of a duality theory which applies to norm inequalities for pointwise weighted geometric means of positive operators. The theory finds its expression in terms of certain pointwise factorisation properties of function…

Functional Analysis · Mathematics 2020-10-05 Anthony Carbery , Timo S. Hänninen , Stefán Ingi Valdimarsson

We prove a pointwise convergence result for additive ergodic averages associated with certain multiplicative actions of the Gaussian integers. We derive several applications in dynamics and number theory, including: (i) Wirsing's theorem…

Dynamical Systems · Mathematics 2024-03-07 Sebastián Donoso , Anh N. Le , Joel Moreira , Wenbo Sun

The main goal of this note is to show that (not necessarily holomorphic) multipliers of a wide class of normed spaces of continuous functions over a connected Hausdorff topological space cannot attain their multiplier norms, unless they are…

Functional Analysis · Mathematics 2020-08-11 Eugene Bilokopytov

While monotone operator theory is often studied on Hilbert spaces, many interesting problems in machine learning and optimization arise naturally in finite-dimensional vector spaces endowed with non-Euclidean norms, such as…

Optimization and Control · Mathematics 2025-08-26 Alexander Davydov , Saber Jafarpour , Anton V. Proskurnikov , Francesco Bullo

Adam is a commonly used stochastic optimization algorithm in machine learning. However, its convergence is still not fully understood, especially in the non-convex setting. This paper focuses on exploring hyperparameter settings for the…

Optimization and Control · Mathematics 2025-02-12 Meixuan He , Yuqing Liang , Jinlan Liu , Dongpo Xu

Via operator theoretic methods, we formalize the concentration phenomenon for a given observable `$r$' of a discrete time Markov chain with `$\mu_{\pi}$' as invariant ergodic measure, possibly having support on an unbounded state space. The…

Machine Learning · Computer Science 2023-06-01 Muhammad Abdullah Naeem , Miroslav Pajic

We study the relations between some geometric properties of maximal monotone operators and generic geometric and analytical properties of the functions on the associate Fitzpatrick family of convex representations. We also investigate under…

Functional Analysis · Mathematics 2012-07-13 B. F. Svaiter

Analogues of multi-paramter multiplier operators on R^d are defined on the torus T^d. It is shown that these operators satisfy the classical Coifman-Meyer theorem. In addition, L log L and L (log L)^n end-point estimates are proved.

Classical Analysis and ODEs · Mathematics 2008-06-03 John T. Workman

A method for obtaining simple criteria for instabilities in kinetic theory is described and outlined, specifically for the relativistic Vlasov-Maxwell system. An important ingredient of the method is an analysis of a parametrized set of…

Analysis of PDEs · Mathematics 2014-03-03 Jonathan Ben-Artzi

Led by the key example of the Korteweg-de Vries equation, we study pairs of Hamiltonian operators which are non-homogeneous and are given by the sum of a first-order operator and an ultralocal structure. We present a complete classification…

Mathematical Physics · Physics 2026-03-30 Marta Dell'Atti , Alessandra Rizzo , Pierandrea Vergallo

We investigate $L^p$ boundedness of the maximal function defined by the averaging operator $f\to \mathcal{A}_t^s f$ over the two-parameter family of tori $\mathbb{T}_t^{s}:=\{ ( (t+s\cos\theta)\cos\phi,\,(t+s\cos\theta)\sin\phi,\,…

Classical Analysis and ODEs · Mathematics 2022-11-15 Juyoung Lee , Sanghyuk Lee

Many iterative methods in optimization are fixed-point iterations with averaged operators. As such methods converge at an $\mathcal{O}(1/k)$ rate with the constant determined by the averagedness coefficient, establishing small averagedness…

Optimization and Control · Mathematics 2020-04-28 Xinmeng Huang , Ernest K. Ryu , Wotao Yin

This is an expository paper on the characterization of the even (or odd) smooth homogeneous convolution Calder\'on-Zygmund operators in R^n such that the maximal singular integral can be controlled in the L^2 norm by the singular integral.…

Classical Analysis and ODEs · Mathematics 2012-07-11 Joan Verdera

This work considers parameter estimation for Gaussian process interpolation with a periodized version of the Mat{\'e}rn covariance function introduced by Stein. Convergence rates are studied for the joint maximum likelihood estimation of…

Statistics Theory · Mathematics 2025-05-20 Sébastien J Petit

We propose a new reconstruction operator that aims to recover the missing parts of a function given the observed parts. This new operator belongs to a new, very large class of functional operators which includes the classical regression…

Statistics Theory · Mathematics 2019-05-14 Alois Kneip , Dominik Liebl

In this paper we study the mapping properties of the averaging operator over a variety given by a system of homogeneous equations over a finite field. We obtain optimal results on the averaging problems over two dimensional varieties whose…

Functional Analysis · Mathematics 2013-04-11 Doowon Koh , Chun-Yen Shen , Igor Shparlinski

For operators defined on locally convex spaces we define the notions of boundedness and ergodicity associated to an infinite matrix. Given two matrices $ A$ and $ B$, we study when $ A$-bounded operators are $ B$-ergodic. Using this…

Functional Analysis · Mathematics 2026-05-26 Daniel Santacreu , Pablo Sevilla-Peris

Let $\Omega\subseteq \mathbb{R}^{d}$ be open and $A$ a complex uniformly strictly accretive $d\times d$ matrix-valued function on $\Omega$ with $L^{\infty}$ coefficients. Consider the divergence-form operator ${\mathscr L}^{A}=-{\rm…

Analysis of PDEs · Mathematics 2019-07-29 Andrea Carbonaro , Oliver Dragičević

The dominant method for defining multivariate operator means is to express them as fix-points under a contraction with respect to the Thompson metric. Although this method is powerful, it crucially depends on monotonicity. We are developing…

Mathematical Physics · Physics 2018-12-21 Frank Hansen