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We establish a pointwise limit theorem for a broad class of pa\-ra\-me\-ter-\-de\-pen\-dent BMO-type seminorms as the parameter tends to zero. By introducing novel BMO-type seminorms, we provide a unified framework that extends several…

Functional Analysis · Mathematics 2026-03-30 Konstantinos Bessas , Serena Guarino Lo Bianco , Roberta Schiattarella

In this article, we investigate the theory of weighted functions of bounded variation (BV), as introduced by Baldi [Ba01]. Depending on the theorem, we impose lower semicontinuity and/or a pointwise A1 condition on the weight. Our…

Classical Analysis and ODEs · Mathematics 2026-05-19 Simon Bortz , Matthew Gossett , Joseph Kasel , Kabe Moen

For a translation invariant convex density basis $B$ it is shown that its Busemann-Feller extension $B_{\mathrm{BF}}$ has close to $B$ properties, in particular, $B_{\mathrm{BF}}$ differentiates the same class of non-negative functions as…

Classical Analysis and ODEs · Mathematics 2018-06-15 Giorgi Oniani

Let F be a class of functions with the uniqueness property: if a function f in F vanishes on a set of positive measure, then f is the zero function. In many instances, we would like to have a quantitative version of this property, e.g. a…

Classical Analysis and ODEs · Mathematics 2007-05-23 Alexander Borichev , Fedor Nazarov , Mikhail Sodin

By $BMO_o(R)$ we denote the space consisting of all those odd and bounded mean oscillation functions on R. In this paper we characterize the functions in $BMO_o(R)$ with bounded support as those ones that can be written as a sum of a…

Classical Analysis and ODEs · Mathematics 2023-10-26 Víctor Almeida , Jorge J. Betancor , Alejandro J. Castro , Juan C. Fariña , Lourdes Rodríguez-Mesa

We prove a Leibniz rule for BV functions in a complete metric space that is equipped with a doubling measure and supports a Poincar\'e inequality. Unlike in previous versions of the rule, we do not assume the functions to be locally…

Metric Geometry · Mathematics 2018-11-20 Panu Lahti

A Bernstein-von Mises theorem is derived for general semiparametric functionals. The result is applied to a variety of semiparametric problems in i.i.d. and non-i.i.d. situations. In particular, new tools are developed to handle…

Statistics Theory · Mathematics 2016-08-11 Ismaël Castillo , Judith Rousseau

John Bell showed that a big class of local hidden-variable models stands in conflict with quantum mechanics and experiment. Recently, there were suggestions that empirical adequate hidden-variable models might exist, which presuppose a…

Quantum Physics · Physics 2007-05-23 Gerd Grasshoff , Samuel Portmann , Adrian Wuethrich

Based on Harnack's inequality and convex analysis we show that each plurisubharmonic function is locally BUO (bounded upper oscillation) with respect to polydiscs of finite type but not for arbitrary polydiscs. We also show that each…

Complex Variables · Mathematics 2019-09-10 Bo-Yong Chen , Xu Wang

In this paper, we derive new estimates for the remainder term of the midpoint, trapezoid, and Simpson formulae for functions whose derivatives in absolute value at certain power are ({\alpha},m)-convex.

Classical Analysis and ODEs · Mathematics 2012-07-24 Imdat Iscan

We introduce a novel perspective on Bayesian reinforcement learning (RL); whereas existing approaches infer a posterior over the transition distribution or Q-function, we characterise the uncertainty in the Bellman operator. Our Bayesian…

Machine Learning · Computer Science 2021-06-17 Matthew Fellows , Kristian Hartikainen , Shimon Whiteson

We mainly establish a monotonicity property between some special Riemann sums of a convex function $f$ on $[a,b]$, which in particular yields that $\frac{b-a}{n+1}\sum_{i=0}^n f\left(a+i\frac{b-a}{n}\right)$ is decreasing while…

Classical Analysis and ODEs · Mathematics 2014-10-07 Jamal Rooin , Hossein Dehghan

Motivated by the goal of improving the efficiency of small sample design, we propose a novel Bayesian stochastic approximation method to estimate the root of a regression function. The method features adaptive local modelling and…

Methodology · Statistics 2017-05-08 Jin Xu , Cui Xiong , Rongji Mu

Gradient flows are a powerful tool for optimizing functionals in general metric spaces, including the space of probabilities endowed with the Wasserstein metric. A typical approach to solving this optimization problem relies on its…

Machine Learning · Statistics 2021-12-02 David Alvarez-Melis , Yair Schiff , Youssef Mroueh

In this manuscript two $BMO$ estimates are obtained, one for Linear Elasticity and one for Nonlinear Elasticity. It is first shown that the $BMO$-seminorm of the gradient of a vector-valued mapping is bounded above by a constant times the…

Analysis of PDEs · Mathematics 2020-04-07 Daniel E. Spector , Scott J. Spector

In his celebrated counterexample to the KAM theorem, Herman introduced a perturbation of an integrable system consisting of two components: a hyperbolic term and a bump function. He also remarked that it was unclear whether the bump…

Dynamical Systems · Mathematics 2025-12-04 Yi Liu , Lin Wang

Some integration techniques for real-valued functions with respect to vector measures with values in Banach spaces (and viceversa) are investigated in order to establish abstract versions of classical theorems of Probability and Stochastic…

Functional Analysis · Mathematics 2020-02-18 Domenico Candeloro , Anna Rita Sambucini , Luca Trastulli

We study limiting trace inequalities in the style of Maz'ya and Meyers--Ziemer for Sobolev martingales. We develop the Bellman function approach to such estimates, which allows to provide sufficient and almost necessary conditions on the…

Probability · Mathematics 2022-11-28 Dmitriy Stolyarov

In this paper, we derive new estimates for the remainder term of the midpoint, trapezoid, and Simpson formulae for functions whose derivatives in absolute value at certain power are ({\alpha},m)-convex.

Classical Analysis and ODEs · Mathematics 2012-07-11 Imdat Iscan

Let $\{b_H(t),t\in\mathbb{R}\}$ be the fractional Brownian motion with parameter $0<H<1$. When $1/2<H$, we consider diffusion equations of the type \[X(t)=c+\int_0^t\sigma\bigl(X(u)\bigr)\mathrm {d}b_H(u)+\int _0^t\mu\bigl(X(u)\bigr)\mathrm…

Probability · Mathematics 2008-12-18 Corinne Berzin , José R. León