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Fr\'echet means are a popular type of average for non-Euclidean datasets, defined as those points which minimise the average squared distance to a set of data points. We consider the behaviour of sample Fr\'echet means on normed spaces…

Probability · Mathematics 2026-03-18 Roan Talbut , Andrew McCormack , Anthea Monod

Let $(X,(p_j))$ be a Fr\'echet space with a Schauder basis and without continuous norm, where $(p_j)$ is an increasing sequence of seminorms inducing the topology of $X$. We show that $X$ satisfies the Invariant Subspace Property if and…

Functional Analysis · Mathematics 2020-11-25 Quentin Menet

We consider the problem of estimating the Fr\'echet and conditional Fr\'echet mean from data taking values in separable metric spaces. Unlike Euclidean spaces, where well-established methods are available, there is no practical estimator…

Statistics Theory · Mathematics 2026-02-06 László Györfi , Pierre Humbert , Batiste Le Bars

In the spirit of Grothendieck's famous inequality from the theory of Banach spaces, we study a sequence of inequalities for the noncommutative Schwartz space, a Fr\'echet algebra of smooth operators. These hold in non-optimal form by a…

Functional Analysis · Mathematics 2018-08-22 Rupert H. Levene , Krzysztof Piszczek

Fr\'echet mean and variance provide a way of obtaining mean and variance for general metric space valued random variables and can be used for statistical analysis of data objects that lie in abstract spaces devoid of algebraic structure and…

Statistics Theory · Mathematics 2019-10-22 Paromita Dubey , Hans-Georg Müller

Non-Euclidean data that are indexed with a scalar predictor such as time are increasingly encountered in data applications, while statistical methodology and theory for such random objects are not well developed yet. To address the need for…

Methodology · Statistics 2021-08-24 Zhenhua Lin , Hans-Georg Müller

Estimating the mean of a random vector from i.i.d. data has received considerable attention, and the optimal accuracy one may achieve with a given confidence is fairly well understood by now. When the data take values in more general metric…

Statistics Theory · Mathematics 2025-09-18 Daniel Bartl , Gabor Lugosi , Roberto Imbuzeiro Oliveira , Zoraida F. Rico

This paper studies the bounded approximation property (BAP) in quasi Banach spaces. In the first part of the paper we show that the kernel of any surjective operator $\ell_p\to X$ has the BAP when $X$ has it and $0<p\leq 1$, which is an…

Functional Analysis · Mathematics 2018-08-10 Félix Cabello Sánchez , Jesús M. F. Castillo , Yolanda Moreno

A Banach space has the Schur property when every weakly convergent sequence converges in norm. We prove a Schur-like property for measures: if a sequence of finite signed Borel measures on a Polish space is such that it is bounded in total…

Functional Analysis · Mathematics 2018-12-18 Sander C. Hille , Tomasz Szarek , Daniel T. H. Worm , Maria Ziemlanska

A Banach space $X$ is Grothendieck if the weak and the weak$^*$ convergence of sequences in the dual space $X^*$ coincide. The space $\ell^\infty$ is a classical example of a Grothendieck space due to Grothendieck. We introduce a…

Functional Analysis · Mathematics 2015-09-23 Hana Bendová

We prove a general principle satisfied by weakly precompact sets of Lipschitz-free spaces. By this principle, certain infinite dimensional phenomena in Lipschitz-free spaces over general metric spaces may be reduced to the same phenomena in…

Functional Analysis · Mathematics 2021-08-12 Ramón J. Aliaga , Camille Noûs , Colin Petitjean , Antonín Procházka

We propose sublinear algorithms for probabilistic testing of the discrete and continuous Fr\'echet distance - a standard similarity measure for curves. We assume the algorithm is given access to the input curves via a query oracle: a query…

Computational Geometry · Computer Science 2025-09-05 Peyman Afshani , Maike Buchin , Anne Driemel , Marena Richter , Sampson Wong

We introduce an interesting method of proving separable reduction theorems - the method of elementary submodels. We are studying whether it is true that a set (function) has given property if and only if it has this property with respect to…

Functional Analysis · Mathematics 2013-01-08 Marek Cúth

The diametral dimension, $\Delta(E)$, and the approximate diametral dimension, $\delta(E)$ of an element $E$ of a large class of nuclear Fr\'echet spaces are set theoretically between the corresponding invariant of power series spaces…

Functional Analysis · Mathematics 2022-10-26 Nazlı Doğan

A handy technique for the Finite Element Method (FEM) is presented that uses the null space for the implementation of Dirichlet and constraint boundary conditions. The focus of this method is to present an illustrative approach to modeling…

Numerical Analysis · Mathematics 2024-03-12 Stefan Schoder

The Fr\'{e}chet distance is a popular distance measure between curves $P$ and $Q$. Conditional lower bounds prohibit $(1 + \varepsilon)$-approximate Fr\'{e}chet distance computations in strongly subquadratic time, even when preprocessing…

Computational Geometry · Computer Science 2024-09-27 Ivor van der Hoog , Eva Rotenberg , Sampson Wong

In 1973, Diestel published his seminal paper `Grothendieck spaces and vector measures' that drew a connection between Grothendieck spaces (Banach spaces for which weak- and weak*-sequential convergences in the dual space coincide) and…

Functional Analysis · Mathematics 2021-07-08 Manuel González , Tomasz Kania

In the main result of the paper we extend Rosenthal's characterization of Banach spaces with the Schur property by showing that for a quasi-complete locally convex space $E$ whose separable bounded sets are metrizable the following…

Functional Analysis · Mathematics 2018-09-25 Saak Gabriyelyan

This paper follows the generalisation of the classical theory of Diophantine approximation to subspaces of $\mathbb{R}^n$ established by W. M. Schmidt in 1967. Let $A$ and $B$ be two subspaces of $\mathbb{R}^n$ of respective dimensions $d$…

Number Theory · Mathematics 2021-06-09 Elio Joseph

Frames and Bessel sequences in Fr\'echet spaces and their duals are defined and studied. Their relation with Schauder frames and representing systems is analyzed. The abstract results presented here, when applied to concrete spaces of…

Functional Analysis · Mathematics 2017-02-22 José Bonet , Carmen Fernández , Antonio Galbis , Juan Miguel Ribera