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In this paper, we establish new inequalities of Ostrowski type for functions whose derivatives in absolute value are m-convex. We also give some applications to special means of positive real numbers. Finally, we obtain some error estimates…

Classical Analysis and ODEs · Mathematics 2010-06-09 Havva Kavurmaci , Merve Avci , M. Emin Ozdemir

The maximal inequalities for diffusion processes have drawn increasing attention in recent years. However, the existing proof of the $L^p$ maximum inequalities for the Ornstein-Uhlenbeck process was dubious. Here we give a rigorous proof of…

Probability · Mathematics 2020-09-17 Chen Jia , Guohuan Zhao

We study convergence of generalized Orlicz energies when the lower growth-rate tends to infinity. We generalize results by Bocea--Mih\u{a}ilescu (Orlicz case) and Eleuteri--Prinari (variable exponent case) and allow weaker assumptions: we…

Analysis of PDEs · Mathematics 2025-04-04 Giacomo Bertazzoni , Petteri Harjulehto , Peter Hästö

In this article, we present several inequalities treating operator means and the Cauchy-Schwarz inequality. In particular, we present some new comparisons between operator Heron and Heinz means, several generalizations of the difference…

Functional Analysis · Mathematics 2021-07-23 Y. Kapil , C. Conde , M. S. Moslehian , M. Singh , M. Sababheh

Bounds on the norm of quantum operators associated with classical Bell-type inequalities can be derived from their maximal eigenvalues. This quantitative method enables detailed predictions of the maximal violations of Bell-type…

Quantum Physics · Physics 2007-05-23 Stefan Filipp , Karl Svozil

We present new bounds for the Berezin number inequalities which improve on the existing bounds. We also obtain bounds for the Berezin norm of operators as well as the sum of two operators.

Functional Analysis · Mathematics 2022-02-09 Pintu Bhunia , Anirban Sen , Kallol Paul

In multi-task learning (MTL) with each task involving graph-dependent data, existing generalization analyses yield a \emph{sub-optimal} risk bound of $O(\frac{1}{\sqrt{n}})$, where $n$ is the number of training samples of each task.…

Machine Learning · Computer Science 2025-05-22 Xiao Shao , Guoqiang Wu

We prove {\L}ojasiewicz inequalities for round cylinders and cylinders over Abresch-Langer curves, using perturbative analysis of a quantity introduced by Colding-Minicozzi. A feature is that this auxiliary quantity allows us to work…

Differential Geometry · Mathematics 2021-01-25 Jonathan J. Zhu

In this note, we provide various two-weight norm estimates of the multi-linear fractional maximal function and weighted maximal function between different Orlicz spaces. More precisely, we obtain Sawyer-type characterizations and norm…

Classical Analysis and ODEs · Mathematics 2022-10-12 Jean-Marcel Tanoh Dje , Benoît F. Sehba

In this note, we establish a new exact worst-case linear convergence rate of the proximal gradient method in terms of the proximal gradient norm, which complements the recent results in [1] and implies a refined descent lemma.descent lemma.…

Optimization and Control · Mathematics 2019-03-13 Xiaoya Zhang , Hui Zhang

A unified approach used to generalize classical Brunn-Minkowski type inequalities to Lp Brunn-Minkowski type inequalities, called the Lp transference principle, is refined in this paper. As illustrations of the effectiveness and…

Metric Geometry · Mathematics 2016-07-26 Du Zou , Ge Xiong

Embeddings among fractional Orlicz-Sobolev spaces with different smoothness are characterized. The equivalence of their Gagliardo-Slobodeckij norms to norms defined via Littlewood-Paley decompostions, via oscillations, or via Besov type…

Functional Analysis · Mathematics 2023-04-14 Dominic Breit , Andrea Cianchi

Two kinds of novel generalizations of Nesbitt's inequality are explored in various cases regarding dimensions and parameters in this article. Some other cases are also discussed elaborately by using the semiconcave-semiconvex theorem. The…

General Mathematics · Mathematics 2025-04-02 Junfeng Zhang , Jintao Wang

We present a new PAC-Bayesian generalization bound. Standard bounds contain a $\sqrt{L_n \cdot \KL/n}$ complexity term which dominates unless $L_n$, the empirical error of the learning algorithm's randomized predictions, vanishes. We manage…

Machine Learning · Computer Science 2021-12-16 Zakaria Mhammedi , Peter D. Grunwald , Benjamin Guedj

Generalized versions of the entropic (Hirschman-Beckner) and support (Elad-Bruckstein) uncertainty principle are presented for frames representations. Moreover, a sharpened version of the support inequality has been obtained by introducing…

Information Theory · Computer Science 2012-10-30 Benjamin Ricaud , Bruno Torrésani

We propose a new approach for deriving probabilistic inequalities based on bounding likelihood ratios. We demonstrate that this approach is more general and powerful than the classical method frequently used for deriving concentration…

Probability · Mathematics 2013-11-21 Xinjia Chen

We attempt to survey recent results and open problems connected to Lieb-Thirring inequalities.

Mathematical Physics · Physics 2020-07-21 Rupert L. Frank

In this article, we show that Orlicz-Lorentz spaces $\ell^n_{M,a}$, $n\in\mathbb N$ with Orlicz function $M$ and weight sequence $a$ are uniformly isomorphic to subspaces of $L_1$ if the norm $\|\cdot\|_{M,a}$ satisfies certain Hardy-type…

Functional Analysis · Mathematics 2019-02-14 Joscha Prochno

We prove uniform estimates for the expected value of averages of order statistics of bivariate functions in terms of their largest values by a direct analysis. As an application, uniform estimates for the expected value of averages of order…

Probability · Mathematics 2018-10-03 Richard Lechner , Markus Passenbrunner , Joscha Prochno

The Clebsch-Gordan coefficients of the group SU(2) are shown to satisfy new inequalities. They are obtained using the properties of Shannon and Tsallis entropies. The inequalities associated with the Wigner 3-j symbols are obtained using…

Quantum Physics · Physics 2018-01-17 V. N. Chernega , O. V. Manko , V. I. Manko , Z. Seilov
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