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The main aims of this article are to characterize a class of operators associated with the symmetrized polydisc that admit rational dilations on the minimal space and to show an interplay between rational dilation and distinguished…

Functional Analysis · Mathematics 2022-04-18 Sourav Pal

The natural BMO (bounded mean oscillation) conditions suggested by scalar-valued results are known to be insufficient for the boundedness of operator-valued paraproducts. Accordingly, the boundedness of operator-valued singular integrals…

Functional Analysis · Mathematics 2020-08-11 Tuomas Hytönen

We systematically study various aspects of operator-valued multishifts. Beginning with basic properties, we show that the class of multishifts on the directed Cartesian product of rooted directed trees is contained in that of…

Functional Analysis · Mathematics 2019-04-02 Rajeev Gupta , Surjit Kumar , Shailesh Trivedi

Infinite-dimensional differential algebraic equations (short DAEs) with input and output are studied. The concepts of operator nodes and system nodes are extended to systems which additionally may include algebraic constraints.…

Analysis of PDEs · Mathematics 2025-11-24 Mehmet Erbay , Birgit Jacob , Timo Reis

Language theory, symbolic dynamics, modelisation of viral insertion into the genetic code of a host cell motivate the introduction of new types of bialgebras whose coalgebra parts are not necessarily coassociative. One of the aim of this…

Quantum Algebra · Mathematics 2007-05-23 Leroux Philippe

In this note, we consider the smallest submaximal space structure {\mu}(X) on a Banach space X. We derive a characterization of {\mu}(X) up to complete isometric isomorphism in terms of a universal property. Also, we show that an injective…

Operator Algebras · Mathematics 2012-12-12 Vinod Kumar P. , M. S. Balasubramani

We study the notion of molecules in coorbit spaces. The main result states that if an operator, originally defined on an appropriate space of test functions, maps atoms to molecules, then it can be extended to a bounded operator on coorbit…

Functional Analysis · Mathematics 2010-12-21 Karlheinz Gröchenig Mariusz Piotrowski

We construct bases for the spaces of higher order modular forms of all orders and weights. We also provide a cohomological interpretation of these forms.

Number Theory · Mathematics 2007-09-24 David Sim

We verify that certain algebras appearing in string field theory are algebras over Feynman transform of modular operads which we describe explicitly. Equivalent description in terms of solutions of generalized BV master equations are…

Algebraic Topology · Mathematics 2015-10-02 Martin Doubek , Branislav Jurco , Korbinian Muenster

We remark that a dyadic version of the Carleson embedding theorem for the Bergman space extends to vector-valued functions and operator-valued measures. This is in contrast to a result by Nazarov, Treil, Volberg in the context of the Hardy…

Functional Analysis · Mathematics 2014-09-15 Olivia Constantin , Laura Gavruta

For a certain class of algebras $\cal A$ we give a method for constructing Banach spaces $X$ such that every operator on $X$ is close to an operator in $\cal A$. This is used to produce spaces with a small amount of structure. We present…

Functional Analysis · Mathematics 2008-09-01 W. T. Gowers , B. Maurey

The reappearance of a sometimes called exotic behavior for linear and multilinear pseudodifferential operators is investigated. The phenomenon is shown to be present in a recently introduced class of bilinear pseudodifferential operators…

Classical Analysis and ODEs · Mathematics 2015-03-13 Frederic Bernicot , Rodolfo Torres

This paper investigates the possibility of approximating multiple mathematical operations in latent space for expression derivation. To this end, we introduce different multi-operational representation paradigms, modelling mathematical…

Machine Learning · Computer Science 2024-04-04 Marco Valentino , Jordan Meadows , Lan Zhang , André Freitas

In this paper, we give a approximation characterization, embedding properties and the duality of matrix weighted modulation spaces.

Functional Analysis · Mathematics 2024-08-29 Shengrong Wang , Pengfei Guo , Jingshi Xu

This paper is devoted to the proof of boundedness of bilinear smooth square functions. Moreover, we deduce boundedness of some bilinear pseudo-differential operators associated with symbols belonging to a subclass of $BS^0_{0,0}$.

Classical Analysis and ODEs · Mathematics 2010-10-26 Frederic Bernicot , Saurabh Shrivastava

We introduce and study multivariate generalizations of the classical BV spaces of Jordan, F. Riesz and Wiener. The family of the introduced spaces contains or is intimately related to a considerable class of function spaces of modern…

Functional Analysis · Mathematics 2018-06-26 Alexander Brudnyi , Yuri Brudnyi

Recent developments in spatial omics technologies have enabled the generation of high dimensional molecular data, such as transcriptomes, proteomes, and epigenomes, within their spatial tissue context, either through coprofiling on the same…

Quantitative Methods · Quantitative Biology 2026-01-21 Esra Busra Isik , Yusuf Hakan Usta , Haozhe Liu , Maryam Riazi , William Roach , Hongpeng Zhou , Magnus Rattray , Sokratia Georgaka

We introduce and study the notion of orthosymmetric spaces over an Archimedean vector lattice as a generalization of finite-dimentional Euclidean inner spaces. A special attention has been paid to linear operators on these spaces.

Functional Analysis · Mathematics 2019-10-29 Mohamed Amine Ben Amor , Karim Boulabiar , Jamel Jaber

This paper studies functions of bounded mean oscillation (BMO) on metric spaces equipped with a doubling measure. The main result gives characterizations for mappings that preserve BMO. This extends the corresponding Euclidean results by…

Classical Analysis and ODEs · Mathematics 2015-10-02 Juha Kinnunen , Riikka Korte , Niko Marola , Nageswari Shanmugalingam

Bayesian optimization (BO) is a popular approach to optimize expensive-to-evaluate black-box functions. A significant challenge in BO is to scale to high-dimensional parameter spaces while retaining sample efficiency. A solution considered…

Machine Learning · Statistics 2020-10-26 Benjamin Letham , Roberto Calandra , Akshara Rai , Eytan Bakshy