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We establish $L^p$-boundedness for a class of operators that are given by convolution with product kernels adapted to curves in the space. The $L^p$ bounds follow from the decomposition of the adapted kernel into a sum of two kernels with…

Functional Analysis · Mathematics 2009-05-26 Valentina Casarino , Paolo Ciatti , Silvia Secco

We prove conditions for the existence of a continuous linear right inverse for a surjective convolution operator in spaces of germs of analytic functions on convex subsets of the complex plane. Considered convex sets have a countable…

Functional Analysis · Mathematics 2018-10-22 S. N. Melikhov , L. V. Khanina

By interpreting planar polynomial curves as complex-valued functions of a real parameter, an inner product, norm, metric function, and the notion of orthogonality may be defined for such curves. This approach is applied to the complex…

Numerical Analysis · Mathematics 2024-02-16 Rida T. Farouki , Marjeta Knez , Vito Vitrih , Emil Žagar

In this paper, we introduce and study the Fourier transform of functions which are integrable with respect to a vector measure on a compact group (not necessarily abelian). We also study the Fourier transform of vector measures. We also…

Functional Analysis · Mathematics 2019-05-30 Manoj Kumar , N. Shravan Kumar

We consider a convolution-type operator on vector bundles over metric-measure spaces. This operator extends the analogous convolution Laplacian on functions in our earlier work to vector bundles, and is a natural extension of the graph…

Analysis of PDEs · Mathematics 2022-02-23 Dmitri Burago , Sergei Ivanov , Yaroslav Kurylev , Jinpeng Lu

The classical Stein--Tomas theorem extends the theory of linear Fourier restriction estimates from smooth manifolds to fractal measures exhibiting Fourier decay. In the multilinear setting, transversality allows for Fourier extension…

Classical Analysis and ODEs · Mathematics 2026-02-11 Itamar Oliveira , Ana E. de Orellana

Contours may be viewed as the 2D outline of the image of an object. This type of data arises in medical imaging as well as in computer vision and can be modeled as data on a manifold and can be studied using statistical shape analysis.…

Applications · Statistics 2017-05-17 Chalani Prematilake , Leif Ellingson

We study the regularity of convolution powers for measures supported on Salem sets, and prove related results on Fourier restriction and Fourier multipliers. In particular we show that for $\alpha$ of the form ${d}/{n}, n=2,3,\cdots$ there…

Classical Analysis and ODEs · Mathematics 2019-08-15 Xianghong Chen , Andreas Seeger

In this paper, we study the properties of the Eberlein convolution of measures and introduce a twisted version of it. For functions we show that the twisted Eberlein convolution can be seen as a translation invariant function-valued inner…

Functional Analysis · Mathematics 2022-11-15 Daniel Lenz , Timo Spindeler , Nicolae Strungaru

We study the boundedness from Lp(Hn) into Lq(Hn) of certain convolution operators with singular measures on the Heisenberg group.

Classical Analysis and ODEs · Mathematics 2016-07-06 Pablo Rocha , Tomas Godoy

We discuss continuity of the twisted convolution on (weighted) Fourier modulation spaces. We use these results to establish continuity results for the twisted convolution on Lebesgue spaces. For example we prove that if $\omega$ is an…

Functional Analysis · Mathematics 2008-12-12 Joachim Toft

We present a novel, log-radius profile representation for convex curves and define a new operation for combining the shape features of curves. Unlike the standard, angle profile-based methods, this operation accurately combines the shape…

Graphics · Computer Science 2015-06-25 Dongsung Huh

In this note a general approach is suggested for comparison of operators. This is done by means of the Fourier transform of a measure. This approach is applied to comparison of approximation properties of various summability methods of the…

Classical Analysis and ODEs · Mathematics 2014-04-23 Roald M. Trigub

Recent work has highlighted several advantages of enforcing orthogonality in the weight layers of deep networks, such as maintaining the stability of activations, preserving gradient norms, and enhancing adversarial robustness by enforcing…

Machine Learning · Computer Science 2021-04-19 Asher Trockman , J. Zico Kolter

We describe a class of measures on Aut(M) for which the convolution product with Keisler measures is well-defined.

Logic · Mathematics 2025-04-08 Daniel Max Hoffmann

Novel types of convolution operators for quaternion linear canonical transform (QLCT) are proposed. Type one and two are defined in the spatial and QLCT spectral domains, respectively. They are distinct in the quaternion space and are…

Classical Analysis and ODEs · Mathematics 2022-12-13 Xiaoxiao Hu , Dong Cheng , Kit Ian Kou

Quantile aggregation with dependence uncertainty has a long history in probability theory with wide applications in finance, risk management, statistics, and operations research. Using a recent result on inf-convolution of quantile-based…

Risk Management · Quantitative Finance 2024-09-09 Jose Blanchet , Henry Lam , Yang Liu , Ruodu Wang

In this paper we extend complex uniform convexity estimates for $\mathbb{C}$ to $ \mathbb{R}^n$ and determine best constants. Furthermore we provide the link to log-Sobolev inequalities and hypercontractivity estimates for ultraspherical…

Functional Analysis · Mathematics 2020-04-14 Paata Ivanisvili , Alexander Lindenberger , Paul F. X. Müller , Michael Schmuckenschläger

Orthogonal polynomials on quadratic curves in the plane are studied. These include orthogonal polynomials on ellipses, parabolas, hyperbolas, and two lines. For an integral with respect to an appropriate weight function defined on any…

Numerical Analysis · Mathematics 2020-01-03 Sheehan Olver , Yuan Xu

This paper outlines a covariant theory of operators defined on groups and homogeneous spaces. A systematic use of groups and their representations allows to obtain results of algebraic and analytical nature. The consideration is…

Representation Theory · Mathematics 2014-03-31 Vladimir V. Kisil