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We continue the analysis of reproducing pairs of weakly measurable functions, which generalize continuous frames. More precisely, we examine the case where the defining measurable functions take their values in a partial inner product space…

Functional Analysis · Mathematics 2016-10-12 Jean-Pierre Antoine , Camillo Trapani

This paper studies the issues about the generalized inverses of tensors under the C-Product. The aim of this paper is threefold. Firstly, this paper present the definition of the Moore-Penrose inverse, Drazin inverse of tensors under the…

Rings and Algebras · Mathematics 2024-12-12 Hongwei Jin , Shumin Xu , Hongjie Jiang , Xiaoji Liu

New reverses of the Schwarz inequality in inner product spaces that incorporate the classical Klamkin-McLenaghan result for the case of positive n-tuples are given. Applications for Lebesgue integrals are also provided.

Functional Analysis · Mathematics 2007-05-23 Sever Silvestru Dragomir

This article is a fundamental study in computable analysis. In the framework of Type-2 effectivity, TTE, we investigate computability aspects on finite and infinite products of effective topological spaces. For obtaining uniform results we…

Logic in Computer Science · Computer Science 2015-07-01 Robert Rettinger , Klaus Weihrauch

We use constructive bounded Kasparov K-theory to investigate the numerical invariants stemming from the internal Kasparov products $K_i(\mathcal A) \times KK^i(\mathcal A, \mathcal B) \rightarrow K_0(\mathcal B) \rightarrow \mathbb R$,…

Operator Algebras · Mathematics 2016-11-16 Emil Prodan , Hermann Schulz-Baldes

In this paper we consider stochastic integration with respect to cylindrical Brownian motion in infinite dimensional spaces. We study weak characterizations of stochastic integrability and present a natural continuation of results of van…

Probability · Mathematics 2013-01-31 Martin Ondrejat , Mark Veraar

By revisiting the notion of generalized second fundamental form originally introduced by Hutchinson for a special class of integral varifolds, we define a weak curvature tensor that is particularly well-suited for being extended to general…

Classical Analysis and ODEs · Mathematics 2020-01-29 Blanche Buet , Gian Paolo Leonardi , Simon Masnou

The category of $C^*$-algebras is blessed with many different tensor products. In contrast, virtually the only tensor product ever used in the category of von Neumann algebras is the normal spatial tensor product. We propose a definition of…

Operator Algebras · Mathematics 2015-06-05 Matthew Wiersma

We define and calculate inner products of 2-representations. Along the way, we prove that the categorical trace Tr(-) of [Ganter and Kapranov, Representation and character theory in 2-categories, Sec. 3] is multiplicative with respect to…

Category Theory · Mathematics 2012-08-27 Nora Ganter

Weak-to-Strong Generalization (W2SG), where a weak model supervises a stronger one, serves as an important analogy for understanding how humans might guide superhuman intelligence in the future. Promising empirical results revealed that a…

Machine Learning · Computer Science 2025-06-19 Yihao Xue , Jiping Li , Baharan Mirzasoleiman

We propose a notion of weak (n+k,n)-category, which we call (n+k,n)-Theta-spaces. The (n+k,n)-Theta-spaces are precisely the fibrant objects of a certain model category structure on the category of presheaves of simplicial sets on Joyal's…

Category Theory · Mathematics 2014-11-11 Charles Rezk

The functional autoregressive model is a Markov model taylored for data of functional nature. It revealed fruitful when attempting to model samples of dependent random curves and has been widely studied along the past few years. This…

Statistics Theory · Mathematics 2016-08-16 André Mas

In this paper, we perform deep neural networks for learning $\psi$-weakly dependent processes. Such weak-dependence property includes a class of weak dependence conditions such as mixing, association,$\cdots$ and the setting considered here…

Machine Learning · Statistics 2023-02-02 William Kengne , Wade Modou

Applications of the theory and computations of boolean matrices are of fundamental importance to study a variety of discrete structural models. But the increasing ability of data collection systems to store huge volumes of multidimensional…

Numerical Analysis · Mathematics 2021-03-09 Ratikanta Behera , Jajati Keshari Sahoo

This paper surveys some results on Wick product and Wick renormalization. The framework is the abstract Wiener space. Some known results on Wick product and Wick renormalization in the white noise analysis framework are presented for…

Probability · Mathematics 2009-02-02 Yaozhong Hu , Jia-an Yan

Instrumental variables estimation has gained considerable traction in recent decades as a tool for causal inference, particularly amongst empirical researchers. This paper makes three contributions. First, we provide a detailed theoretical…

Econometrics · Economics 2021-04-27 Aiwei Huang , Madhurima Chandra , Laura Malkhasyan

We introduce a new higher categorical structure called a weakly globular n-fold category. This structure is based on iterated internal categories and on the notion of weak globularity. We identify a suitable class of pseudo-functors whose…

Category Theory · Mathematics 2016-05-24 Simona Paoli

Part I Weakly differentiable functions Part II PDEs on varifolds 15 Sobolev spaces ... 75 16 Preliminaries ... 82 17 Maximum estimates ... 86 18 Second order flatness of Lebesgue spaces for integral varifolds with subcritical integrability…

Differential Geometry · Mathematics 2024-07-25 Ulrich Menne

Convergence and stability results for the inverse Born series [Moskow and Schotland, Inverse Problems, 24:065005, 2008] are generalized to mappings between Banach spaces. We show that by restarting the inverse Born series one obtains a…

Mathematical Physics · Physics 2015-06-03 Patrick Bardsley , Fernando Guevara Vasquez

We derive integral formulas that simplify the Vector Spherical Tensor Product recently introduced by Xie et al., which generalizes the Gaunt tensor product to antisymmetric couplings. In particular, we obtain explicit closed-form…

Machine Learning · Computer Science 2026-03-10 Valentin Heyraud , Zachary Weller-Davies , Jules Tilly