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A number of researchers have introduced topological structures on the set of laws of stochastic processes. A unifying goal of these authors is to strengthen the usual weak topology in order to adequately capture the temporal structure of…

Probability · Mathematics 2020-09-30 Julio Backhoff-Veraguas , Daniel Bartl , Mathias Beiglböck , Manu Eder

A topological space ${\mathcal X}$ is reversible iff each continuous bijection (condensation) $f: {\mathcal X} \rightarrow {\mathcal X}$ is a homeomorphism; weakly reversible iff whenever ${\mathcal Y}$ is a space and there are…

General Topology · Mathematics 2024-12-11 Miloš S. Kurilić

In this article, we generalize the Wasserstein distance to measures with different masses. We study the properties of such distance. In particular, we show that it metrizes weak convergence for tight sequences. We use this generalized…

Analysis of PDEs · Mathematics 2015-06-05 Benedetto Piccoli , Francesco Rossi

Generalized polyhedral convex sets, generalized polyhedral convex functions on locally convex Hausdorff topological vector spaces, and the related constructions such as sum of sets, sum of functions, directional derivative, infimal…

Optimization and Control · Mathematics 2017-05-22 Nguyen Ngoc Luan , Jen-Chih Yao , Nguyen Dong Yen

The optimum subspace decomposition of the infinite-dimensional compressible random processes in the locally convex Hausdorff space has been propose and its dimension has been measured. We conduct topological analysis of finite- and…

Information Theory · Computer Science 2022-08-30 Mohammadreza Robaei , Robert Akl

We study long chains of iterated weak* derived sets, that is sets of all weak* limits of bounded nets, of subspaces with the additional property that the penultimate weak* derived set is a proper norm dense subspace of the dual. We extend…

Functional Analysis · Mathematics 2024-08-05 Zdeněk Silber

An important consequence of the Hahn-Banach Theorem says that on any locally convex Hausdorff topological space $X$, there are sufficiently many continuous linear functionals to separate points of $X$. In the paper, we establish a `local'…

Functional Analysis · Mathematics 2018-09-07 Niushan Gao , Denny H. Leung , Foivos Xanthos

In this paper, we introduce the concepts of m-quasiconvex, originally m-quasiconvex,and generalized m-quasiconvex functionals on topological vector spaces. Then we extend the concept of point separable topological vector spaces (by the…

Functional Analysis · Mathematics 2020-12-07 Jinlu Li

Based on the concept of unbounded absolutely weakly convergence, we give new characterizations of L-weakly compact sets. As applications, we find some properties of order weakly compact operators. Also, a new characterizations of order…

Functional Analysis · Mathematics 2020-05-05 Hassan Khabaoui , Jawad H'michane , Kamal El Fahri

The goal of this paper is to establish a general fixed point theorem for compact single-valued continuous mapping in Hausdorff p-vector spaces, and the fixed point theorem for upper semicontinuous set-valued mappings in Hausdorff locally…

Functional Analysis · Mathematics 2023-04-13 George Xianzhi Yuan

Topological measures and deficient topological measures are defined on open and closed subsets of a topological space, generalize regular Borel measures, and correspond to (non-linear in general) functionals that are linear on singly…

Probability · Mathematics 2020-05-25 Svetlana V. Butler

We investigate weak approximation away from a finite set of places for a class of biquadratic fourfolds inside $\mathbb{P}^3 \times \mathbb{P}^2$, some of which appear in the recent work of Hassett--Pirutka--Tschinkel.

Algebraic Geometry · Mathematics 2025-03-07 Nick Rome

In this paper we develop an intrinsic formalism to study the topology, smooth structure, and Riemannian geometry of the Wasserstein space of a closed Riemannian manifold. Our formalism allows for a new characterisation of the Weak topology…

Differential Geometry · Mathematics 2025-04-17 André Magalhães de Sá Gomes , Christian S. Rodrigues , Luiz A. B. San Martin

This paper derives central limit and bootstrap theorems for probabilities that sums of centered high-dimensional random vectors hit hyperrectangles and sparsely convex sets. Specifically, we derive Gaussian and bootstrap approximations for…

Statistics Theory · Mathematics 2016-03-09 Victor Chernozhukov , Denis Chetverikov , Kengo Kato

In this paper we first extend from normed spaces to locally convex spaces some characterizations of denting points in convex sets. On the other hand, we also prove that in an infrabarreled locally convex space a point in a convex set is…

Functional Analysis · Mathematics 2024-01-17 Fernando García-Castaño , M. A. Melguizo Padial , G. Parzanese

Given a finite point set $P\subset\mathbb{R}^d$, we call a multiset $A$ a one-sided weak $\varepsilon$-approximant for $P$ (with respect to convex sets), if $|P\cap C|/|P|-|A\cap C|/|A|\leq\varepsilon$ for every convex set $C$. We show…

Combinatorics · Mathematics 2016-05-31 Boris Bukh , Gabriel Nivasch

As a generalization of Hausdorff's extension theorem of metrics, we prove an interpolation theorem of a family of metrics defined on closed subsets of metrizable spaces. As an application, we investigate typicality of subsets of moduli…

Metric Geometry · Mathematics 2026-01-14 Yoshito Ishiki

We develop the theoretical foundations of a generalized Gromov-Hausdorff distance between functions on networks that has recently been applied to various subfields of topological data analysis and optimal transport. These functional…

Discrete Mathematics · Computer Science 2022-12-08 Samir Chowdhury , Facundo Mémoli

Using the wedge sum of metric spaces, for all compact metrizable spaces, we construct a topological embedding of the compact metrizable space into the set of all metric trees in the Gromov--Hausdorff space with finite prescribed values. As…

Metric Geometry · Mathematics 2021-12-13 Yoshito Ishiki

Researchers from different areas have independently defined extensions of the usual weak convergence of laws of stochastic processes with the goal of adequately accounting for the flow of information. Natural approaches are convergence of…

Probability · Mathematics 2025-01-27 Daniel Bartl , Mathias Beiglböck , Gudmund Pammer , Stefan Schrott , Xin Zhang