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A simple estimator for the finite right endpoint of a distribution function in the Gumbel max-domain of attraction is proposed. Large sample properties such as consistency and the asymptotic distribution are derived. A simulation study is…

Statistics Theory · Mathematics 2015-06-16 Isabel Fraga Alves , Cláudia Neves

The aim of this paper is threefold. We first prove that, on $\mathrm{RCD}(K,N)$ spaces, the boundary measure of any set with finite perimeter is concentrated on the $n$-regular set $\mathcal{R}_n$, where $n\le N$ is the essential dimension…

Metric Geometry · Mathematics 2021-09-28 Elia Bruè , Enrico Pasqualetto , Daniele Semola

In this work, we extend the classical framework of quantization for Borel probability measures defined on normed spaces $\mathbb{R}^k$ by introducing and analyzing the notions of the $n$th constrained quantization error, constrained…

Probability · Mathematics 2026-01-30 Megha Pandey , Mrinal Kanti Roychowdhury

Let $X=\{X(t),t\in\mathbb{R}^N\}$ be a random field with values in $\mathbb{R}^d$. For any finite Borel measure $\mu$ and analytic set $E\subset\mathbb{R}^N$, the Hausdorff and packing dimensions of the image measure $\mu_X$ and image set…

Statistics Theory · Mathematics 2010-11-24 Narn-Rueih Shieh , Yimin Xiao

This paper introduces and formally verifies a novel geometric framework for first-order stochastic dominance (FSD) in $N$ dimensions using the Lean 4 theorem prover. Traditional analytical approaches to multi-dimensional stochastic…

Logic in Computer Science · Computer Science 2025-05-20 Jingyuan Li

We study integral-to-integral input-to-state stability for infinite-dimensional linear systems with inputs and trajectories in $L^p$-spaces. We start by developing the corresponding admissibility theory for linear systems with unbounded…

Optimization and Control · Mathematics 2026-05-26 Sahiba Arora , Andrii Mironchenko

We apply the notion of \emph{optimality} of measurements for state determination(tomography) as originally given by Wootters and Fields to \emph{weak value tomography} of \emph{pure states}. They defined measurements to be optimal if they…

Quantum Physics · Physics 2017-02-21 N. D. Hari Dass , R. Rajath Krishna , Sai Smruti Samantaray

In this article, we further develop the thermodynamic formalism of affine iterated function systems with countably many transformations by showing the existence and extending earlier characterisations of the equilibrium states of finite…

Dynamical Systems · Mathematics 2025-01-22 Antti Käenmäki , Ian D. Morris

The main purpose of this paper is to find the fixed point in such cases where existing literature remain silent. In this paper we introduce partial completeness, a new type of contraction and many other definitions. Using this approach the…

Functional Analysis · Mathematics 2018-03-23 Tawseef Rashid , Qamrul Haque Khan

Measurability with respect to ideals is tightly connected with absoluteness principles for certain forcing notions. We study a uniformization principle that postulates the existence of a uniformizing function on a large set, relative to a…

Logic · Mathematics 2022-05-31 Sandra Müller , Philipp Schlicht

In 1988 K. Falconer introduced a formula which predicts the value of the Hausdorff dimension of the attractor of an affine iterated function system. The value given by this formula -- sometimes referred to as the affinity dimension -- is…

Dynamical Systems · Mathematics 2021-11-30 Ian D. Morris

Consider the problem of estimating the $\gamma$-level set $G^*_{\gamma}=\{x:f(x)\geq\gamma\}$ of an unknown $d$-dimensional density function $f$ based on $n$ independent observations $X_1,...,X_n$ from the density. This problem has been…

Statistics Theory · Mathematics 2009-08-26 Aarti Singh , Clayton Scott , Robert Nowak

We introduce a notion of "effective dimension" of a statistical model based on the number of cubes of size $1/\sqrt{n}$ needed to cover the model space when endowed with the Fisher Information Matrix as metric, $n$ being the number of…

Machine Learning · Statistics 2020-01-30 Oksana Berezniuk , Alessio Figalli , Raffaele Ghigliazza , Kharen Musaelian

In this paper, we propose a coupled tensor norm regularization that could enable the model output feature and the data input to lie in a low-dimensional manifold, which helps us to reduce overfitting. We show this regularization term is…

Optimization and Control · Mathematics 2023-02-24 Ying Gao , Yunfei Qu , Chunfeng Cui , Deren Han

In reinforcement learning, state representations are used to tractably deal with large problem spaces. State representations serve both to approximate the value function with few parameters, but also to generalize to newly encountered…

Machine Learning · Computer Science 2022-03-02 Charline Le Lan , Stephen Tu , Adam Oberman , Rishabh Agarwal , Marc G. Bellemare

We describe the shrinking target problem for random iterated function systems which semi-conjugate to a random subshifts of finite type. We get the Hausdorff dimension of the set based on shrinking target problems with given targets. The…

Dynamical Systems · Mathematics 2017-07-06 Zhihui Yuan

A choice of first-order variables for the characteristic problem of the linearized Einstein equations is found which casts the system into manifestly well-posed form. The concept of well-posedness for characteristic problems invoked is that…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Simonetta Frittelli

This paper is devoted to the study of a newly introduced tool, projectional coderivatives and the corresponding calculus rules in finite dimensions. We show that when the restricted set has some nice properties, more specifically, is a…

Optimization and Control · Mathematics 2024-10-24 Wenfang Yao , Kaiwen Meng , Minghua Li , Xiaoqi Yang

In this paper, we characterize the rectifiability (both uniform and not) of an Ahlfors regular set, E, of arbitrary co-dimension by the behavior of a regularized distance function in the complement of that set. In particular, we establish a…

Analysis of PDEs · Mathematics 2020-07-16 Guy David , Max Engelstein , Svitlana Mayboroda

Coherent states are required to form a complete set of vectors in the Hilbert space by providing the resolution of identity. We study the completeness of coherent states for two different models in a noncommutative space associated with the…

Mathematical Physics · Physics 2018-01-16 Sanjib Dey
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