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The algorithmic theory of randomness is well developed when the underlying space is the set of finite or infinite sequences and the underlying probability distribution is the uniform distribution or a computable distribution. These…

Computational Complexity · Computer Science 2016-08-31 Peter Gacs

We construct admissible polynomial meshes on piecewise polynomial or trigonometric curves of the complex plane, by mapping univariate Chebyshev points. Such meshes can be used for polynomial least-squares, for the extraction of Fekete-like…

Numerical Analysis · Mathematics 2023-11-14 Leokadia Bialas-Ciez , Dimitri Jordan Kenne , Alvise Sommariva , Marco Vianello

We extend the theory of Rubio de Francia extrapolation, including off-diagonal, limited range, and $A_{\infty}$ extrapolation, to the weighted variable Lebesgue spaces. As a consequence we are able to show that a number of different…

Classical Analysis and ODEs · Mathematics 2014-08-21 David Cruz-Uribe , Li-An Daniel Wang

Imagine that you could calculate of posttest probabilities, i.e. Bayes theorem with simple addition. This is possible if we stop thinking of probabilities as ranging from 0 to 1.0. There is a naturally occurring linear probability space…

Other Statistics · Statistics 2019-04-03 Christopher M Rembold

The paper is devoted to studying the image of probability measures on a Hilbert space under finite-dimensional analytic maps. We establish sufficient conditions under which the image of a measure has a density with respect to the Lebesgue…

Analysis of PDEs · Mathematics 2015-06-26 Andrei Agrachev , Sergei Kuksin , Andrey Sarychev , Armen Shirikyan

We study Doob's Consistency Theorem and Freedman's Inconsistency Theorem from the vantage point of computable probability and algorithmic randomness. We show that the Schnorr random elements of the parameter space are computably consistent,…

Logic · Mathematics 2025-01-22 Simon M. Huttegger , Sean Walsh , Francesca Zaffora Blando

We give a highly efficient "semi-agnostic" algorithm for learning univariate probability distributions that are well approximated by piecewise polynomial density functions. Let $p$ be an arbitrary distribution over an interval $I$ which is…

Machine Learning · Computer Science 2013-05-15 Siu-On Chan , Ilias Diakonikolas , Rocco A. Servedio , Xiaorui Sun

We overview a series of recent works addressing numerical simulations of partial differential equations in the presence of some elements of randomness. The specific equations manipulated are linear elliptic, and arise in the context of…

Numerical Analysis · Mathematics 2016-04-19 Claude Le Bris , Frederic Legoll

The Blaschke-Lebesgue Theorem states that among all planar convex domains of given constant width B the Reuleaux triangle has minimal area. It is the purpose of the present note to give a direct proof of this theorem by analyzing the…

Metric Geometry · Mathematics 2007-05-23 Evans M. Harrell

We prove a nested embedding theorem for Hardy-Lorentz spaces and use it to find coefficient multiplier spaces of certain non-locally convex Hardy-Lorentz spaces into various target spaces such as Lebesgue sequence spaces, other Hardy…

Functional Analysis · Mathematics 2007-05-23 Marc Lengfield

As a part of our works on effective properties of probability distributions, we deal with the corresponding characteristic functions. A sequence of probability distributions is computable if and only if the corresponding sequence of…

Computational Complexity · Computer Science 2015-07-01 Takakazu Mori , Yoshiki Tsujii , Mariko Yasugi

A Banach space is said to have the Lebesgue property if every Riemann-integrable function $f:[0,1]\to X$ is Lebesgue almost everywhere continuous. We give a characterization of the Lebesgue property in terms of a new sequential asymptotic…

Functional Analysis · Mathematics 2024-03-27 Harrison Gaebler , Bunyamin Sari

In this paper we prove the bounded approximation property for variable exponent Lebesgue spaces, study the concept of nuclearity on such spaces and apply it to trace formulae such as the Grothendieck-Lidskii formula. We apply the obtained…

Functional Analysis · Mathematics 2018-01-31 Julio Delgado , Michael Ruzhansky

We study bounded trace maps on hypersurfaces for Sobolev spaces from a point of view that is fundamentally different from the one in the classical theory. This allows us to construct bounded trace maps under weak regularity assumptions on…

Analysis of PDEs · Mathematics 2021-08-09 Ricardo Weder

We prove that r independent homogeneous polynomials of the same degree d become dependent when restricted to any hyperplane if and only if their inverse system parameterizes a variety whose (d-1)-osculating spaces have dimension smaller…

Algebraic Geometry · Mathematics 2011-10-25 Emilia Mezzetti , Rosa M. Miro'-Roig , Giorgio Ottaviani

These notes survey and explore an emerging method, which we call the low-degree method, for predicting and understanding statistical-versus-computational tradeoffs in high-dimensional inference problems. In short, the method posits that a…

Statistics Theory · Mathematics 2019-07-29 Dmitriy Kunisky , Alexander S. Wein , Afonso S. Bandeira

In this short paper we generalize the classical inequality between the norms in Lebesgue spaces of the functions and its derivatives, which in the multidimensional case are called Sobolev's inequalities, on the many popular classes pairs of…

Functional Analysis · Mathematics 2010-02-01 E. Ostrovsky , E. Rogover , L. Sirota

Two new applications of a technique for spaceability are given in this paper. For the first time this technique is used in the investigation of the algebraic genericity property of the weak form of Peano's theorem on the existence of…

Functional Analysis · Mathematics 2015-10-02 Cleon Barroso , Geraldo Botelho , Vinícius V. Fávaro , Daniel Pellegrino

We show that the counts of low degree irreducible factors of a random polynomial $f$ over $\mathbb{F}_q$ with independent but non-uniform coefficients behave like that of a uniform random polynomial, exhibiting a form of universality for…

Probability · Mathematics 2022-09-07 Jimmy He , Huy Tuan Pham , Max Wenqiang Xu

We show how to provide a structure of probability space to the set of execution traces on a non-confluent abstract rewrite system, by defining a variant of a Lebesgue measure on the space of traces. Then, we show how to use this probability…

Logic in Computer Science · Computer Science 2014-04-02 Alejandro Díaz-Caro , Gilles Dowek
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