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We propose a new viewpoint on Hilbert scales extending them by means of all Hilbert spaces that are interpolation ones between spaces on the scale. We prove that this extension admits an explicit description with the help of…

Functional Analysis · Mathematics 2021-02-17 Vladimir Mikhailets , Aleksandr Murach , Tetiana Zinchenko

Nested sums containing binomial coefficients occur in the computation of massive operator matrix elements. Their associated iterated integrals lead to alphabets including radicals, for which we determined a suitable basis. We discuss…

High Energy Physics - Theory · Physics 2014-07-18 Jakob Ablinger , Johannes Blümlein , Clemens G. Raab , Carsten Schneider

Mean value interpolation is a method for fitting a smooth function to piecewise-linear data prescribed on the boundary of a polygon of arbitrary shape, and has applications in computer graphics and curve and surface modelling. The method…

Numerical Analysis · Mathematics 2019-06-21 Michael S. Floater , Francesco Patrizi

High-dimensional Lagrange interpolation plays a pivotal role in finite element methods, where ensuring the unisolvence and symmetry of its interpolation space and nodes set is crucial. In this paper, we leverage group action and group…

Numerical Analysis · Mathematics 2024-05-24 Yulin Xie , Yifa Tang

We propose a proof of the Lagrange Interpolation Formula based on the Chinese Remainder Theorem for arbitrary rings. Even such relationships are known, we think that our viewpoint is worth being published.

Rings and Algebras · Mathematics 2024-10-21 Paul Jolissaint

We develop a technique that solders the dual aspects of some symmetry. Using this technique it is possible to combine two theories with such symmetries to yield a new effective theory. Some applications in two and three dimensional…

High Energy Physics - Theory · Physics 2009-10-31 R. Banerjee , C. Wotzasek

We introduce an index of convergence for double sequences of real numbers. This index is used to describe the behaviour of some bivariate interpolation sequences at points of discontinuity of the first kind. We consider in particular the…

Functional Analysis · Mathematics 2011-10-07 Michele Campiti , Giusy Mazzone , Cristian Tacelli

Hierarchical vector field interpolation introduces a structured probabilistic framework for lexical representation, ensuring that word embeddings transition smoothly across a continuous manifold rather than being constrained to discrete…

Computation and Language · Computer Science 2025-03-27 Clive Pendleton , Ewan Harrington , Giles Fairbrother , Jasper Arkwright , Nigel Fenwick , Richard Katrix

In this paper we present an efficient algorithm for bivariate interpolation, which is based on the use of the partition of unity method for constructing a global interpolant. It is obtained by combining local radial basis function…

Numerical Analysis · Mathematics 2014-08-04 Roberto Cavoretto

Chebyshev interpolation is a highly effective, intensively studied method and enjoys excellent numerical properties. The interpolation nodes are known beforehand, implementation is straightforward and the method is numerically stable. For…

Numerical Analysis · Mathematics 2016-11-29 Kathrin Glau , Mirco Mahlstedt

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

In this work we discuss a parameter $\sigma$ on weighted $k$-element multisets of $[n]= \{1,\dots ,n\}$. The sums of weighted $k$-multisets are related to $k$-subsets, $k$-multisets, as well as special instances of truncated interpolated…

Combinatorics · Mathematics 2022-03-02 Markus Kuba

We study the robust interpolation problem of arbitrary data distributions supported on a bounded space and propose a two-fold law of robustness. Robust interpolation refers to the problem of interpolating $n$ noisy training data points in…

Machine Learning · Computer Science 2023-06-02 Yihan Wu , Heng Huang , Hongyang Zhang

Given $E_0, E_1, F_0, F_1, E$ rearrangement invariant function spaces, $a_0$, $a_1$, $b_0$, $b_1$, $b$ slowly varying functions and $0< \theta_0<\theta_1<1$, we characterize the interpolation spaces $$(\overline{X}^{\mathcal…

Functional Analysis · Mathematics 2021-03-17 Pedro Fernández-Martínez , Teresa M. Signes

Simulating quantum systems with their environments often requires non-unitary operations, and mapping these to quantum devices often involves expensive dilations or prohibitive measurement costs to achieve desired precisions. Building on…

Quantum Physics · Physics 2025-02-03 Aman Mehta , Scott E. Smart , Joseph Peetz , David A. Mazziotti , Prineha Narang

Craig interpolation in SMT is difficult because, e. g., theory combination and integer cuts introduce mixed literals, i. e., literals containing local symbols from both input formulae. In this paper, we present a scheme to compute Craig…

Logic in Computer Science · Computer Science 2017-05-16 Jürgen Christ , Jochen Hoenicke , Alexander Nutz

Riemann sums, a classical method for approximating the definite integral of a function, have been extensively studied in the past. However, their monotonic properties, while still of great importance, particularly in approximation theory…

Classical Analysis and ODEs · Mathematics 2024-02-19 Ludovick Bouthat

Linear interpolation inequalities that combine Hardy's inequality with sharp Sobolev embedding are obtained using classical arguments of Hardy and Littlewood (Bliss lemma). Such results are equivalent to Caffarelli-Kohn-Nirenberg…

Analysis of PDEs · Mathematics 2009-07-24 William Beckner

A seminal result of Agler characterizes the so-called Schur-Agler class of functions on the polydisk in terms of a unitary colligation transfer function representation. We generalize this to the unit ball of the algebra of multipliers for a…

Functional Analysis · Mathematics 2007-05-23 Michael A. Dritschel , Stefania Marcantognini , Scott McCullough

In the seminal book M\'echanique analitique, Lagrange, 1788, the notion of a Lagrange multiplier was first introduced in order to study a smooth minimization problem subject to equality constraints. The idea is that, under some regularity…

Optimization and Control · Mathematics 2024-02-12 Gabriel Haeser , Daiana Oliveira dos Santos