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Related papers: Intermediate dimensions under self-affine codings

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The affinity dimension is a number associated to an iterated function system of affine maps, which is fundamental in the study of the fractal dimensions of self-affine sets. De-Jun Feng and the author recently solved a folklore open…

Dynamical Systems · Mathematics 2013-09-19 Pablo Shmerkin

Non-Abelian gauge theory with a warped extra dimension is studied as a quantum field theory at an intermediate scale that is regarded as being much lower than the scale of the geometry stabilization and the Planck scale. Loop corrections…

High Energy Physics - Phenomenology · Physics 2014-11-21 Nobuhiro Uekusa

Under the assumption of a natural subadditive potential, the so called cylinder function, working on the symbol space we prove the existence of the ergodic invariant probability measure satisfying the equilibrium state. As an application we…

Dynamical Systems · Mathematics 2017-02-01 Antti Käenmäki

We review the motivation and fundamental properties of the Hausdorff dimension of metric spaces and illustrate this with a number of examples, some of which are expected and well-known. We also give examples where the Hausdorff dimension…

Dynamical Systems · Mathematics 2007-08-21 Dierk Schleicher

We determine the Hausdorff, packing and box-counting dimension of a family of self-affine sets generalizing Bara\'nski carpets. More specifically, we fix a Bara\'nski system and allow both vertical and horizontal random translations, while…

Dynamical Systems · Mathematics 2017-05-22 Leticia Pardo Simón

Asymptotic expansion of the distribution of a perturbation $Z_n$ of a Skorohod integral jointly with a reference variable $X_n$ is derived. We introduce a second-order interpolation formula in frequency domain to expand a characteristic…

Probability · Mathematics 2018-01-03 David Nualart , Nakahiro Yoshida

Let $\{S_i\}_{i\in \Lambda}$ be a finite contracting affine iterated function system (IFS) on ${\Bbb R}^d$. Let $(\Sigma,\sigma)$ denote the two-sided full shift over the alphabet $\Lambda$, and $\pi:\Sigma\to {\Bbb R}^d$ be the coding map…

Dynamical Systems · Mathematics 2020-06-03 De-Jun Feng

We introduce a class of Falconer distance problems, which we call of restricted type, lying between the classical version and its pinned variant. Prototypical restricted distance sets are the diagonal distance sets, $k$-point configuration…

Classical Analysis and ODEs · Mathematics 2023-08-25 José Gaitan , Allan Greenleaf , Eyvindur Ari Palsson , Georgios Psaromiligkos

We derive upper and lower bounds for the Assouad and lower dimensions of self-affine measures in $\mathbb{R}^d$ generated by diagonal matrices and satisfying suitable separation conditions. The upper and lower bounds always coincide for…

Dynamical Systems · Mathematics 2024-03-20 Jonathan M. Fraser , István Kolossváry

We study the orthogonal projections of a large class of self-affine carpets, which contains the carpets of Bedford and McMullen as special cases. Our main result is that if $\Lambda$ is such a carpet, and certain natural irrationality…

Dynamical Systems · Mathematics 2013-03-21 Andrew Ferguson , Thomas Jordan , Pablo Shmerkin

We extend finding geometrically-significant preserved quantities by solving specific PDEs to the affine transformations and subgroups. This can be viewed not only as a purely geometrical problem but also as a subcase of finding physical…

General Relativity and Quantum Cosmology · Physics 2018-09-25 Edward Anderson

We introduce the concept of Gaussian integral isoperimetric transference and show how it can be applied to obtain a new class of sharp Sobolev-Poincar\'{e} inequalities with constants independent of the dimension. In the special case of…

Functional Analysis · Mathematics 2017-05-30 Joaquim Martin , Mario Milman

Frechet's classical isometric embedding argument has evolved to become a major tool in the study of metric spaces. An important example of a Frechet embedding is Bourgain's embedding. The authors have recently shown that for every e>0 any…

Metric Geometry · Mathematics 2009-03-23 Yair Batal , Nathan Linial , Manor Mendel , Assaf Naor

We prove some infinitesimal analogs of classical results of Menger, Schoenberg and Blumenthal giving the existence conditions for isometric embeddings of metric spaces in the finite-dimensional Euclidean spaces.

Metric Geometry · Mathematics 2011-08-02 V. Bilet , O. Dovgoshey

In this paper we construct constant dimension space codes with prescribed minimum distance. There is an increased interest in space codes since a paper by Koetter and Kschischang were they gave an application in network coding. There is…

Information Theory · Computer Science 2009-01-13 Axel Kohnert , Sascha Kurz

We endow the set of complements of a fixed subspace of a projective space with the structure of an affine space, and show that certain lines of such an affine space are affine reguli or cones over affine reguli. Moreover, we apply our…

Algebraic Geometry · Mathematics 2024-02-13 Andrea Blunck , Hans Havlicek

The merit of projecting data onto linear subspaces is well known from, e.g., dimension reduction. One key aspect of subspace projections, the maximum preservation of variance (principal component analysis), has been thoroughly researched…

Machine Learning · Computer Science 2022-09-27 Erik Thordsen , Erich Schubert

In Part 1 of this study we showed, for a wide range of geometries, that the relationships between their concept-sets are fully determined by those between their (affine) automorphism groups. In this (self-contained) part, we show how this…

Logic · Mathematics 2025-07-15 Judit Madarász , Mike Stannett , Gergely Székely

In this paper, we study the Hausdorff dimension of self-similar measures and sets on the real line, where the generating iterated function system consists of some maps that share the same fixed point. In particular, we will show that out of…

Dynamical Systems · Mathematics 2025-07-09 Balázs Bárány , Manuj Verma

We define the lower and upper mutual dimensions $mdim(x:y)$ and $Mdim(x:y)$ between any two points $x$ and $y$ in Euclidean space. Intuitively these are the lower and upper densities of the algorithmic information shared by $x$ and $y$. We…

Computational Complexity · Computer Science 2014-10-16 Adam Case , Jack H. Lutz
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