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Micromechanical homogenization is often carried out with Fourier-accelerated methods that are prone to ringing artifacts. We here generalize the compatibility projection introduced by Vond\v{r}ejc, Zeman & Marek [Comput. Math. Appl. 68, 156…

The expressive power of Gaussian processes depends heavily on the choice of kernel. In this work we propose the novel harmonizable mixture kernel (HMK), a family of expressive, interpretable, non-stationary kernels derived from mixture…

Machine Learning · Statistics 2019-10-15 Zheyang Shen , Markus Heinonen , Samuel Kaski

We consider binomial and inverse binomial sums at infinity and rewrite them in terms of a small set of constants, such as powers of $\pi$ or $\log(2)$. In order to perform these simplifications, we view the series as specializations of…

Number Theory · Mathematics 2015-10-30 Jakob Ablinger

We introduce the notion of boundary representation for fractal Fourier expansions, starting with a familiar notion of spectral pairs for affine fractal measures. Specializing to one dimension, we establish boundary representations for these…

Functional Analysis · Mathematics 2010-08-24 Dorin Ervin Dutkay , Palle E. T. Jorgensen

We present a novel matrix product representation of the Laughlin and related fractional quantum Hall wavefunctions based on a rigorous version of the correlators of a chiral quantum field theory. This representation enables the quantitative…

Mathematical Physics · Physics 2026-01-21 Severin Schraven , Simone Warzel

We provide a symplectic reduction of a partially integrable Hamiltonian system to a completely integrable one. The KAM theorem is applied to this reduced completely integrable Hamiltonian system. Its KAM perturbation generates a…

Symplectic Geometry · Mathematics 2007-05-23 G. Giachetta , L. Mangiarotti , G. Sardanashvily

In the first section we review recent results on the harmonic analysis of fractals generated by iterated function systems with emphasis on spectral duality. Classical harmonic analysis is typically based on groups whereas the fractals are…

Classical Analysis and ODEs · Mathematics 2007-05-23 Palle E. T. Jorgensen , Steen Pedersen

Approximation using Fourier features is a popular technique for scaling kernel methods to large-scale problems, with myriad applications in machine learning and statistics. This method replaces the integral representation of a…

Machine Learning · Statistics 2024-08-26 Ayoub Belhadji , Qianyu Julie Zhu , Youssef Marzouk

The theory of integral, or Fourier-Mukai, transforms between derived categories of sheaves is a well established tool in noncommutative algebraic geometry. General "representation theorems" identify all reasonable linear functors between…

Algebraic Geometry · Mathematics 2021-05-18 David Ben-Zvi , David Nadler , Anatoly Preygel

In recent years, Karr's difference field theory has been extended to the so-called $R\Pi\Sigma$-extensions in which one can represent not only indefinite nested sums and products that can be expressed by transcendental ring extensions, but…

Symbolic Computation · Computer Science 2017-10-31 Evans Doe Ocansey , Carsten Schneider

We introduce a cyclotomic representation for finite $q$-hypergeometric series and $q$-deformed amplitudes that separates algebraic structure from evaluation. By expressing each summand in a sparse exponent basis over irreducible cyclotomic…

Mathematical Physics · Physics 2026-04-17 Seth K. Asante

Implicit Neural Representations (INR) use multilayer perceptrons to represent high-frequency functions in low-dimensional problem domains. Recently these representations achieved state-of-the-art results on tasks related to complex 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-09-02 Nuri Benbarka , Timon Höfer , Hamd ul-moqeet Riaz , Andreas Zell

Local Fourier analysis is a strong and well-established tool for analyzing the convergence of numerical methods for partial differential equations. The key idea of local Fourier analysis is to represent the occurring functions in terms of a…

Numerical Analysis · Mathematics 2015-03-12 Stefan Takacs

Fractional calculus is a generalization of classical theories of integration and differentiation to arbitrary order (i.e., real or complex numbers). In the last two decades, this new mathematical modeling approach has been widely used to…

Logic in Computer Science · Computer Science 2016-08-10 Umair Siddique , Osman Hasan , Sofiène Tahar

We find a combinatorial formula for the Haar functional of the orthogonal and unitary quantum groups. As an application, we consider diagonal coefficients of the fundamental representation, and we investigate their spectral measures.

Quantum Algebra · Mathematics 2019-02-27 Teodor Banica , Benoit Collins

Recent microscopy imaging techniques allow to precisely analyze cell morphology in 3D image data. To process the vast amount of image data generated by current digitized imaging techniques, automated approaches are demanded more than ever.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Dennis Eschweiler , Malte Rethwisch , Simon Koppers , Johannes Stegmaier

The tempered representations of a real reductive Lie group $G$ are naturally partitioned into series associated with conjugacy classes of Cartan subgroups $H$ of $G$. We define partial Dirac cohomology, apply it for geometric construction…

Representation Theory · Mathematics 2022-02-15 Meng-Kiat Chuah , Jing-Song Huang , Joseph A. Wolf

In this paper we study special bases of certain spaces of half-integral weight weakly holomorphic modular forms. We establish a criterion for the integrality of Fourier coefficients of such bases. By using recursive relations between Hecke…

Number Theory · Mathematics 2018-07-09 Suh Hyun Choi , Chang Heon Kim , Yeong-Wook Kwon , Kyu-Hwan Lee

Coherent, continuous spatial representations are critical for synthesizing physical and perceptual phenomena into a single representational space. Radial basis kernels provide a path forward for this type of distributed representation. In…

Machine Learning · Computer Science 2026-05-12 Jakeb Chouinard

A new definition of a fractional derivative has recently been developed, making use of a fractional Dirac delta function as its integral kernel. This derivative allows for the definition of a distributional fractional derivative, and as…

Classical Analysis and ODEs · Mathematics 2018-05-16 Evan Camrud
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