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In this paper we study the boundedness of Bergman projectors on weighted Bergman spaces on homogeneous Siegel domains of Type II. As it appeared to be a natural approach in the special case of tube domains over irreducible symmetric cones,…

Complex Variables · Mathematics 2022-11-14 Mattia Calzi , Marco M. Peloso

Calder\'on-Zygmund theory has been traditionally developed on metric measure spaces satisfying additional regularity properties. In the lack of good metrics, we introduce a new approach for general measure spaces which admit a Markov…

Functional Analysis · Mathematics 2019-07-18 Marius Junge , Tao Mei , Javier Parcet , Runlian Xia

We prove a sparse bound in the context of Schauder theory for divergence form elliptic partial differential equations. In addition, we show how an iteration argument inspired by sparse domination bounds can be used to deduce gradient…

Analysis of PDEs · Mathematics 2026-01-21 Olli Saari , Yuanlin Sun , Hua-Yang Wang , Yuanhong Wei

We introduce an abstract algorithm that aims to find the Bregman projection onto a closed convex set. As an application, the asymptotic behaviour of an iterative method for finding a fixed point of a quasi Bregman nonexpansive mapping with…

Functional Analysis · Mathematics 2013-09-26 Heinz H. Bauschke , Jiawei Chen , Xianfu Wang

We show that the superconformal symmetries of the (1,1) sigma model decompose into a set of more refined symmetries when the target space admits projectors $P_{\pm}$, and the orthogonal complements $Q_{\pm}$, covariantly constant with…

High Energy Physics - Theory · Physics 2010-11-19 Vid Stojevic

We consider fixed-point equations for probability measures charging measured compact metric spaces that naturally yield continuum random trees. On the one hand, we study the existence/uniqueness of the fixed-points and the convergence of…

Probability · Mathematics 2021-05-05 Nicolas Broutin , Henning Sulzbach

Minimizing a convex function of a measure with a sparsity-inducing penalty is a typical problem arising, e.g., in sparse spikes deconvolution or two-layer neural networks training. We show that this problem can be solved by discretizing the…

Optimization and Control · Mathematics 2020-11-04 Lenaic Chizat

Probabilistic models of directed polymers in random environment have received considerable attention in recent years. Much of this attention has focused on integrable models. In this paper, we introduce some new computational tools that do…

Probability · Mathematics 2021-06-08 Erik Bates , Sourav Chatterjee

We prove new lossless Strichartz and spectral projection estimates on asymptotically hyperbolic surfaces, and, in particular, on all convex cocompact hyperbolic surfaces. In order to do this, we also obtain log-scale lossless Strichartz and…

Analysis of PDEs · Mathematics 2026-02-09 Xiaoqi Huang , Christopher D. Sogge , Zhongkai Tao , Zhexing Zhang

We prove the kernel estimates related to subordinated semigroups on homogeneous trees. We study the long time propagation problem. We exploit this to show exit time estimates for (large) balls. We use an abstract setting of metric measure…

Probability · Mathematics 2007-05-23 Andrzej Stos

Let X be a smooth projective Berkovich space over a complete discrete valuation field K of residue characteristic zero, endowed with an ample line bundle L. We introduce a general notion of (possibly singular) semipositive (or…

Algebraic Geometry · Mathematics 2014-01-22 S. Boucksom , C. Favre , M. Jonsson

In this paper we provide some quantitative mixed-type estimates assuming conditions that imply that $uv\in A_{\infty}$ for Calder\'on-Zygmund operators, rough singular integrals and commutators. The main novelty of this paper lies in the…

Classical Analysis and ODEs · Mathematics 2018-12-20 Marcela Caldarelli , Israel P. Rivera-Ríos

We prove nontangential asymptotic limits of the Bergman kernel on the diagonal, and the Bergman metric and its holomorphic sectional curvature at exponentially flat infinite type boundary points of smooth bounded pseudoconvex domains in…

Complex Variables · Mathematics 2023-11-03 Ravi Shankar Jaiswal

We extend Edmonds' Branching Theorem to locally finite infinite digraphs. As examples of Oxley or Aharoni and Thomassen show, this cannot be done using ordinary arborescences, whose underlying graphs are trees. Instead we introduce the…

Combinatorics · Mathematics 2020-04-06 J. Pascal Gollin , Karl Heuer

We prove a local two-weight Poincar\'e inequality for cubes using the sparse domination method that has been influential in harmonic analysis. The proof involves a localized version of the Fefferman--Stein inequality for the sharp maximal…

Analysis of PDEs · Mathematics 2020-05-01 Emma-Karoliina Kurki , Antti V. Vähäkangas

We study questions inspired by Erd\H os' celebrated distance problems with dot products in lieu of distances, and for more than a single pair of points. In particular, we study point configurations present in large finite point sets in the…

Combinatorics · Mathematics 2024-09-17 Aaron Autry , Slade Gunter , Christopher Housholder , Steven Senger

The Poisson boundary of a finite direct product of affine automorphism groups of homogeneous trees is considered. The Poisson boundary is shown to be a product of ends of trees with a hitting measure for spread-out, aperiodic measures of…

Group Theory · Mathematics 2017-08-24 John J. Harrison

We prove a general sparse domination theorem in a space of homogeneous type, in which a vector-valued operator is controlled pointwise by a positive, local expression called a sparse operator. We use the structure of the operator to get…

Classical Analysis and ODEs · Mathematics 2022-03-16 Emiel Lorist

In this work we explore the theme of $L^p$-boundedness of Bergman projections of domains that can be covered, in the sense of ramified coverings, by "nice" domains (e.g. strictly pseudoconvex domains with real analytic boundary). In…

Complex Variables · Mathematics 2022-12-21 Gian Maria Dall'Ara , Alessandro Monguzzi

This paper studies the estimation and inference for the isotonic regression at the boundary point, an object that is particularly interesting and required in the analysis of monotone regression discontinuity designs. We show that the…

Statistics Theory · Mathematics 2020-12-22 Andrii Babii , Rohit Kumar