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In a computer experiment the choice of suitable estimators to measure a physical quantity plays an important role. We propose a new direct route to determine estimators for observables which do not commute with the Hamiltonian. Our new…

Statistical Mechanics · Physics 2013-07-11 Riccardo Fantoni

In this paper, we investigate the Mill's ratio estimation problem and get two new inequalities. Compared to the well known results obtained by Gordon, they becomes tighter. Furthermore, we also discuss the inverse Q-function approximation…

Information Theory · Computer Science 2021-06-22 Pingyi Fan

In this note two results are established for energy functionals that are given by the integral of $ W(\mathbf x,\nabla \mathbf u(\mathbf x))$ over $\Omega \subset\mathbb{R}^n$ with $\nabla \mathbf u \in BMO(\Omega;{\mathbb R}^{N\times n})$,…

Analysis of PDEs · Mathematics 2020-05-28 Daniel E. Spector , Scott J. Spector

It is shown that the Bellman function method can be applied to study the $L^p$-norms of general operators on martingales, i.e., of operators that are not necessarily martingale transforms. Informally, we provide a single Bellman-type…

Functional Analysis · Mathematics 2023-12-04 Viacheslav Borovitskiy , Nikolay N. Osipov , Anton Tselishchev

We study the most-informative Boolean function conjecture using a differential equation approach. This leads to a formulation of a functional inequality on finite-dimensional random variables. We also develop a similar inequality in the…

Information Theory · Computer Science 2025-02-17 Zijie Chen , Amin Gohari , Chandra Nair

In this paper, we study the John-Nirenberg inequality for BMO and the atomic decomposition for H1 of noncommutative martingales. We first establish a crude version of the column (resp. row) John-Nirenberg inequality for all 0 < p < \infty.…

Functional Analysis · Mathematics 2014-11-06 Guixiang Hong , Tao Mei

Variational Inference (VI) provides a scalable framework for Bayesian inference by optimizing the Evidence Lower Bound (ELBO), but convergence analysis remains challenging due to the objective's non-convexity and non-smoothness in Euclidean…

Machine Learning · Statistics 2025-10-20 Sushil Bohara , Amedeo Roberto Esposito

In this paper we explore several applications of the recently introduced spaces of functions of bounded $\beta$-dimensional mean oscillation for $\beta \in (0,n]$ to regularity theory of critical exponent elliptic equations. We first show…

Analysis of PDEs · Mathematics 2024-08-15 You-Wei Benson Chen , Juan Manfredi , Daniel Spector

We systematically study the local single-valuedness of the Bregman proximal mapping and local smoothness of the Bregman--Moreau envelope of a nonconvex function under relative prox-regularity - an extension of prox-regularity - which was…

Optimization and Control · Mathematics 2020-02-03 Emanuel Laude , Peter Ochs , Daniel Cremers

Value function learning plays a central role in many state-of-the-art reinforcement-learning algorithms. Many popular algorithms like Q-learning do not optimize any objective function, but are fixed-point iterations of some variant of…

Machine Learning · Computer Science 2020-01-10 Yihao Feng , Lihong Li , Qiang Liu

Let (M,\mu) be a sigma-finite measure space. Let (T_t) be a semigroup of positive preserving maps on (M,\mu) with standard assumptions. We prove a H_1-BMO duality theory with assumptions only on T_t. The BMO is defined as spaces of…

Classical Analysis and ODEs · Mathematics 2012-05-01 Tao Mei

In this paper, we shall give an extension of operator Bellman inequality. This result is estimated via Kantorovich constant.

Functional Analysis · Mathematics 2019-05-29 Shiva Sheybani , Mohsen Erfanian Omidvar , Mahnaz Khanegir

We give a generalized and effective version of Bekehermes' improvement of Newman's Tauberian theorem. To do so we prove an effective version of the Riemann-Lebesgue Lemma for functions of bounded $p$-variation. We apply our Tauberian…

Complex Variables · Mathematics 2026-04-28 Jan-Christoph Schlage-Puchta , Christoph Schwerdt

Classical (or ``global'') Bernstein theory establishes sharp control on entire functions of exponential type that are bounded and real-valued on the real axis. We localize some of this theory to rectangular regions $\{ x+iy: x \in I, 0 \leq…

Classical Analysis and ODEs · Mathematics 2026-04-23 Terence Tao

In this paper we show that the weighted Bernstein-Walsh inequality in logarithmic potential theory is sharp up to some new universal constant, provided that the external field is given by a logarithmic potential. Our main tool for such…

Numerical Analysis · Mathematics 2017-07-26 Bernhard Beckermann , Thomas Helart

We extend the classical Bernstein inequality to a general setting including Schr{\"o}dinger operators and divergence form elliptic operators on Riemannian manifolds or domains. Moreover , we prove a new reverse inequality that can be seen…

Analysis of PDEs · Mathematics 2021-06-11 Rafik Imekraz , El Maati Ouhabaz

It has been recently shown that the Bellman function method can be applied in the general context of Gundy's extrapolation theorem for vector-valued martingales. But the additional assumption has been made that martingales are adapted to a…

Functional Analysis · Mathematics 2023-09-12 Nikolay N. Osipov

For all Einstein-Podolsky-Rosen-type experiments on deterministic systems the Bell inequality holds, unless non-local interactions exist between certain parts of the setup. Here we show that in nonlinear systems the Bell inequality can be…

Quantum Physics · Physics 2009-11-06 Louis Vervoort

In this paper, the authors first consider the bidirectional estimates of several typical integrals. As some applications of these integral estimates, the authors investigate the pointwise multipliers from the normal weight general function…

Functional Analysis · Mathematics 2024-12-25 Xuejun Zhang , Hongxin Chen , Min Zhou , Yuting Guo , Pengcheng Tang

There are two useful ways to extend nonlinear partial differential inequalities of second order: one uses viscosity theory and the other uses the theory of distributions. This paper considers the convex situation where both extensions can…

Analysis of PDEs · Mathematics 2017-12-12 F. Reese Harvey , H. Blaine Lawson
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