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For an interpolation pair $(E_0,E_1)$ of Banach spaces with $E_1 \hookrightarrow E_0$ we use vectors $b_1,b_2,\ldots \in E_1$ that satisfy an extremal property with respect to the $J$- and $K$-functional to construct sub-spaces that are…

Functional Analysis · Mathematics 2020-09-30 Stefan Geiss

Let (E_0,E_1) and (H_0,H_1) be a pair of Banach spaces with dense and continuous embeddings E_1 into E_0, H_1 into H_0. For $\theta \in [0,1]$ denote by $B_\theta(0,R)$ the ball of radius R centered at zero in the interpolation spaces…

Functional Analysis · Mathematics 2013-07-03 A. M. Savchuk , A. A. Shkalikov

The aim of this paper is to present two tools, Theorems 4 and 7, that make the task of finding equivalent polyhedral norms on certain Banach spaces easier and more transparent. The hypotheses of both tools are based on countable…

Functional Analysis · Mathematics 2016-11-04 V. P. Fonf , A. J. Pallares , R. J. Smith , S. Troyanski

A method is presented for forming polynomial interpolants on squares and cubes, which are more efficient in the so-called Euclidean degree than other commonly used methods with the same number of collocation points. These methods have…

Numerical Analysis · Mathematics 2024-12-11 R. Connor Greene

This work provides a complete characterization of the solutions of a linear interpolation problem for vector polynomials. The interpolation problem consists in finding n scalar polynomials such that an equation involving a linear…

Classical Analysis and ODEs · Mathematics 2015-06-24 Mikhail Kudryavtsev , Sergio Palafox , Luis O. Silva

Variational interpolants are an indispensable tool for the construction of gradient-flow solutions via the Minimizing Movement Scheme. The De Giorgi lemma provides the associated discrete energy-dissipation inequality. It was originally…

Analysis of PDEs · Mathematics 2026-03-19 Alexander Mielke , Riccarda Rossi

Working in a variant of the intersection type assignment system of Coppo, Dezani-Ciancaglini and Venneri [1981], we prove several facts about sets of terms having a given intersection type. Our main result is that every strongly normalizing…

Logic in Computer Science · Computer Science 2023-06-22 Andrew Polonsky , Richard Statman

A modular proof-theoretic framework was recently developed to prove Craig interpolation for normal modal logics based on generalizations of sequent calculi (e.g., nested sequents, hypersequents, and labelled sequents). In this paper, we…

Logic in Computer Science · Computer Science 2021-10-12 Iris van der Giessen , Raheleh Jalali , Roman Kuznets

Using C. Fefferman's embedding of a charge space in a measure space allows us to apply standard interpolation theorems to prove norm inequalities for Besicovitch almost periodic functions. This yields an analogue of Paley's Inequality for…

Classical Analysis and ODEs · Mathematics 2019-05-17 Y. Boryshchak , A. Myers , Y. Sagher

We prove the optimal convergence estimate for first order interpolants used in finite element methods based on three major approaches for generalizing barycentric interpolation functions to convex planar polygonal domains. The Wachspress…

Numerical Analysis · Mathematics 2012-06-19 Andrew Gillette , Alexander Rand , Chandrajit Bajaj

Deep learning based methods have penetrated many image processing problems and become dominant solutions to these problems. A natural question raised here is "Is there any space for conventional methods on these problems?" In this paper,…

Image and Video Processing · Electrical Eng. & Systems 2020-11-30 Chaobing Zheng , Zhengguo Li , Shiqian Wu

We here specialize the standard matrix-valued polynomial interpolation to the case where on the imaginary axis the interpolating polynomials admit various symmetries: Positive semidefinite, Skew-Hermitian, $J$-Hermitian, Hamiltonian and…

Complex Variables · Mathematics 2012-08-10 Daniel Alpay , Izchak Lewkowicz

Constructing or learning a function from a finite number of sampled data points (measurements) is a fundamental problem in science and engineering. This is often formulated as a minimum norm interpolation problem, regularized learning…

Functional Analysis · Mathematics 2020-06-26 Rui Wang , Yuesheng Xu

In stellar interferometry, image quality improves significantly with the inclusion of more telescopes and the use of phase closure. We demonstrate, using first coherent and then partially coherent white light, a compact and efficient…

Astrophysics · Physics 2009-11-13 E. N. Ribak , M. Gai , D. Loreggia , S. G. Lipson

In [18] Fournier and Printems establish a methodology which allows to prove the absolute continuity of the law of the solution of some stochastic equations with H\"{o}lder continuous coefficients. This is of course out of reach by using…

Probability · Mathematics 2017-04-03 V. Bally , L. Caramellino

We introduce explicit families of good interpolation points for interpolation on a triangle in $\mathbb{R}^2$ that may be used for either polynomial interpolation or a certain rational interpolation for which we give explicit formulas.

Numerical Analysis · Mathematics 2023-06-16 Len Bos , Sione Ma'u , Shayne Waldron

Standard interpolation techniques are implicitly based on the assumption that the signal lies on a single homogeneous domain. In contrast, many naturally occurring signals lie on an inhomogeneous domain, such as brain activity associated to…

Signal Processing · Electrical Eng. & Systems 2019-06-28 Hamid Behjat , Zafer Doğan , Dimitri Van De Ville , Leif Sörnmo

The convergence rates on polynomial interpolation in most cases are estimated by Lebesgue constants. These estimates may be overestimated for some special points of sets for functions of limited regularities. In this paper, by applying the…

Numerical Analysis · Mathematics 2015-06-19 Shuhuang Xiang

We introduce a "dual-space approach" to mixed Nevanlinna-Pick/Carath\'eodory-Schur interpolation in Banach spaces X of holomorphic functions on the disk. Our approach can be viewed as complementary to the well-known commutant lifting…

Functional Analysis · Mathematics 2020-07-16 Oleg Szehr , Rachid Zarouf

In the Normed space theory, the existence of fixed points is one of the main tools in improving efficiency of iterative algorithms in optimization, numerical analysis and various mathematical applications. This study introduces and…

Optimization and Control · Mathematics 2024-05-15 Akansha Tyagi , Sachin Vashistha