In this note we compare two ways of measuring the n-dimensional “flatness” of a set S⊂RdS⊂ℝd , where n∈Nn∈ℕ and d>nd>n . The first is to consider the classical Reifenberg-flat numbers α(x,r)α(x,r) ( x∈Sx∈S , r>0r>0 ), which measure the minimal scaling-invariant Hausdorff distances in Br(x)Br(x) between S and n-dimensional affine subspaces of Rdℝd . The second is an “intrinsic” approach in which we view the same set S as a metric space (endowed with the induced Euclidean distance). Then we consider numbers a(x,r)(x,r) that are the scaling-invariant Gromov–Hausdorff distances between balls centered at x of radius r in S and the n-dimensional Euclidean ball of the same radius. As main result of our analysis we make rigorous a phenomenon, fi...
We provide quantitative estimates for the supremum of the Hausdorff dimension of sets in the real li...
We provide several equivalent characterizations of locally flat, $d$-Ahlfors regular, uniformly rect...
<p>The average-distance problem is to find the best way to approximate (or represent) a given measur...
Résumé. On montre que si l’ensemble E ⊂ Rn est bien approché, a ̀ l’échelle r0, par des plans de...
Abstract. We use the Stein-Tomas restriction theorem to give an alternate proof of a result due to F...
We obtain box-counting estimates for the pinned distance sets of (dense subsets of) planar discrete ...
Fix a real number d> 0. Let D = {1, d} if d 6 = 1; otherwise D = {1} may simply be written as 1. ...
Abstract. The Falconer conjecture says that if a compact set in Rd has Hausdorff dimension> d 2, ...
Let d be an integer, and let E be a nonempty closed subset of Rn. Assume that E is locally uniformly...
In the first part of the thesis the centred Hausdorff measures are studied. These measures are an of...
We introduce a family of dimensions, which we call the Φ-intermediate dimensions, that lie between t...
CHAPTER I The definition of all the measure functions used in the thesis. CHAPTER II The condition f...
For every finite subset F of the unit sphere S of a Banach space and for every x 2 S consider the av...
We study dimensions of sumsets and iterated sumsets and provide natural conditions which guarantee t...
It is known that in low dimensions supports of Holder doubling measures are C (1,beta) manifolds. In...
We provide quantitative estimates for the supremum of the Hausdorff dimension of sets in the real li...
We provide several equivalent characterizations of locally flat, $d$-Ahlfors regular, uniformly rect...
<p>The average-distance problem is to find the best way to approximate (or represent) a given measur...
Résumé. On montre que si l’ensemble E ⊂ Rn est bien approché, a ̀ l’échelle r0, par des plans de...
Abstract. We use the Stein-Tomas restriction theorem to give an alternate proof of a result due to F...
We obtain box-counting estimates for the pinned distance sets of (dense subsets of) planar discrete ...
Fix a real number d> 0. Let D = {1, d} if d 6 = 1; otherwise D = {1} may simply be written as 1. ...
Abstract. The Falconer conjecture says that if a compact set in Rd has Hausdorff dimension> d 2, ...
Let d be an integer, and let E be a nonempty closed subset of Rn. Assume that E is locally uniformly...
In the first part of the thesis the centred Hausdorff measures are studied. These measures are an of...
We introduce a family of dimensions, which we call the Φ-intermediate dimensions, that lie between t...
CHAPTER I The definition of all the measure functions used in the thesis. CHAPTER II The condition f...
For every finite subset F of the unit sphere S of a Banach space and for every x 2 S consider the av...
We study dimensions of sumsets and iterated sumsets and provide natural conditions which guarantee t...
It is known that in low dimensions supports of Holder doubling measures are C (1,beta) manifolds. In...
We provide quantitative estimates for the supremum of the Hausdorff dimension of sets in the real li...
We provide several equivalent characterizations of locally flat, $d$-Ahlfors regular, uniformly rect...
<p>The average-distance problem is to find the best way to approximate (or represent) a given measur...