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In this paper we study a family of nonlinear (conditional) expectations that can be understood as a semimartingale with uncertain local characteristics. Here, the differential characteristics are prescribed by a time and path-dependent…

Probability · Mathematics 2023-11-07 David Criens , Lars Niemann

We discuss infinitesimal isometries of the middle surfaces and present some characteristic conditions for a function to be the normal component of an infinitesimal isometry. Our results show that those characteristic conditions depend on…

Analysis of PDEs · Mathematics 2013-10-22 Peng-Fei Yao

Some problems of statistics can be reduced to extremal problems of minimizing functionals of smooth functions defined on the cube $[0,1]^m$, $m\geq 2$. In this paper, we study a class of extremal problems that is closely connected to the…

Probability · Mathematics 2010-12-06 Alexander Nazarov , Natalia Stepanova

It is strange but fruitful to think about the functions as random processes. Any function can be viewed as a martingale (in many different ways) with discrete time. But it can be useful to have continuous time too. Processes can emulate…

Probability · Mathematics 2011-06-21 Alexander Volberg

We consider the integration of two-dimensional, piecewise constant functions with respect to copulas. By drawing a connection to linear assignment problems, we can give optimal upper and lower bounds for such integrals and construct the…

Optimization and Control · Mathematics 2016-11-26 Markus Hofer , Maria Rita Iacò

Evaluation of the Bellman functions is a difficult task. The exact Bellman functions of the dyadic Carleson Embedding Theorem 1.1 and the dyadic maximal operators are obtained in [3] and [4]. Actually, the same Bellman functions also work…

Classical Analysis and ODEs · Mathematics 2015-02-12 Jingguo Lai

We construct inner products by the Bernstein-Markov inequality on spaces of holomorphic sections of high powers of a line bundle. The corresponding weighted Bergman kernel functions converge to an extremal function. We obtain a uniform…

Complex Variables · Mathematics 2017-05-23 Guokuan Shao

Markov decision problems are most commonly solved via dynamic programming. Another approach is Bellman residual minimization, which directly minimizes the squared Bellman residual objective function. However, compared to dynamic…

Machine Learning · Computer Science 2026-04-28 Donghwan Lee , Hyukjun Yang

This article is a continuation of a previous work where we studied infinite horizon control problems for which the dynamic, running cost and control space may be different in two half-spaces of some euclidian space $\R^N$. In this article…

Analysis of PDEs · Mathematics 2014-01-27 Guy Barles , Ariela Briani , Emmanuel Chasseigne

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

In the propositional setting, the marginal problem is to find a (maximum-entropy) distribution that has some given marginals. We study this problem in a relational setting and make the following contributions. First, we compare two…

Artificial Intelligence · Computer Science 2018-04-26 Ondrej Kuzelka , Yuyi Wang , Jesse Davis , Steven Schockaert

This expository article is an introduction to Landau's problem of bounding the derivative, knowing bounds for the function and its second derivative, and some of its variants and generalizations. Connexions with convex and functional…

Classical Analysis and ODEs · Mathematics 2020-07-28 Michel Balazard

We give a characterization of the extremal sequences for the Bellman function of three variables of the dyadic maximal operator in relation to Kolmogorov's inequality. In fact we prove that they behave approximately like eigenfunctions of…

Functional Analysis · Mathematics 2018-08-30 Eleftherios Nikolidakis

A class of stochastic optimal control problems involving optimal stopping is considered. Methods of Krylov are adapted to investigate the numerical solutions of the corresponding normalized Bellman equations and to estimate the rate of…

Optimization and Control · Mathematics 2014-12-18 István Gyöngy , David Šiška

Although much research has been devoted to extremal problems on non-overlapping domains little is known about all solutions of this problems. We generalized some of this problems on the case of more general systems of points. It was solved…

Geometric Topology · Mathematics 2011-11-01 I. V. Denega

In this paper extremal problems for uniform hypergraphs are studied in the general setting of hereditary properties. It turns out that extremal problems about edges are particular cases of a general analyic problem about a recently…

Combinatorics · Mathematics 2013-05-14 Vladimir Nikiforov

In this article, we study the extremal processes of branching Brownian motions conditioned on having an unusually large maximum. The limiting point measures form a one-parameter family and are the decoration point measures in the extremal…

Probability · Mathematics 2020-09-01 Julien Berestycki , Éric Brunet , Aser Cortines , Bastien Mallein

We obtain necessary optimality conditions for variational problems with a Lagrangian depending on a Caputo fractional derivative, a fractional and an indefinite integral. Main results give fractional Euler-Lagrange type equations and…

Optimization and Control · Mathematics 2011-11-11 Ricardo Almeida , Shakoor Pooseh , Delfim F. M. Torres

We find the exact Bellman function for the weak $L^1$ norm of local positive dyadic shifts. We also describe a sequence of functions, self-similar in nature, which in the limit extremize the local weak-type (1,1) inequality.

Classical Analysis and ODEs · Mathematics 2018-11-06 Guillermo Rey , Alexander Reznikov

Extremal functions are exhibited in Poincar\'e trace inequalities for functions of bounded variation in the unit ball ${\mathbb B}^n$ of the $n$-dimensional Euclidean space ${\mathbb R}^n$. Trial functions are subject to either a vanishing…

Optimization and Control · Mathematics 2016-04-07 Andrea Cianchi , Vincenzo Ferone , Carlo Nitsch , Cristina Trombetti