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The analysis of vector fields is crucial for the understanding of several physical phenomena, such as natural events (e.g., analysis of waves), diffusive processes, electric and electromagnetic fields. While previous work has been focused…

Graphics · Computer Science 2020-08-12 Giuseppe Patanè

We present a construction of a wavelet-type orthonormal basis for the space of radial $L^2$-functions in $\R^3$ via the concept of a radial multiresolution analysis. The elements of the basis are obtained from a single radial wavelet by…

Functional Analysis · Mathematics 2007-05-23 Holger Rauhut , Margit Rösler

We define Sobolev spaces $H^{\mathfrak{s}}(K_q)$ over a local field $K_q$ of finite characteristic $p>0$, where $q=p^c$ for a prime $p$ and $c\in \mathbb{N}$. This paper introduces novel fractal functions, such as the Weierstrass type and…

Rings and Algebras · Mathematics 2024-08-02 Manish Kumar

Smooth vector fields on $\mathbb{R}^n$ can be decomposed into the sum of a gradient vector field and divergence-free (solenoidal) vector field under suitable hypotheses. This is called the Helmholtz-Hodge decomposition (HHD), which has been…

Dynamical Systems · Mathematics 2020-07-17 Tomoharu Suda

The Hodge decomposition provides a very powerful mathematical method for the analysis of 2D and 3D vector fields. It states roughly that any vector field can be $L^2$-orthogonally decomposed into a curl-free, divergence-free, and a harmonic…

Numerical Analysis · Mathematics 2019-12-17 Faniry H. Razafindrazaka , Konstantin Poelke , Konrad Polthier , Leonid Goubergrits

A radial basis function (RBF) method based on matrix-valued kernels is presented and analyzed for computing two types of vector decompositions on bounded domains: one where the normal component of the divergence-free part of the field is…

Numerical Analysis · Mathematics 2015-03-06 Edward J. Fuselier , Grady B. Wright

The paper aims at proposing an efficient and stable quasi-interpolation based method for numerically computing the Helmholtz-Hodge decomposition of a vector field. To this end, we first explicitly construct a matrix kernel in a general form…

Numerical Analysis · Mathematics 2024-12-09 Nicholas Fisher , Gregory Fasshauer , Wenwu Gao

The Laplace-Beltrami problem on closed surfaces embedded in three dimensions arises in many areas of physics, including molecular dynamics (surface diffusion), electromagnetics (harmonic vector fields), and fluid dynamics (vesicle…

Numerical Analysis · Mathematics 2023-06-21 Tristan Goodwill , Michael O'Neil

The series solution to Laplace's equation in a helical coordinate system is derived and refined using symmetry and chirality arguments. These functions and their more commonplace counterparts are used to model solenoidal magnetic fields via…

Instrumentation and Detectors · Physics 2020-07-10 Brian Pollack , Ryan Pellico , Cole Kampa , Henry Glass , Michael Schmitt

The wave equation for vectors and symmetric tensors in spherical coordinates is studied under the divergence-free constraint. We describe a numerical method, based on the spectral decomposition of vector/tensor components onto spherical…

General Relativity and Quantum Cosmology · Physics 2009-11-23 Jerome Novak , Jean-Louis Cornou , Nicolas Vasset

A triangular plate-bending element with a new multi-resolution analysis (MRA) is proposed and a novel multiresolution element method is hence presented. The MRA framework is formulated out of a displacement subspace sequence whose basis…

Numerical Analysis · Mathematics 2018-06-15 YiMing Xia

Recovery of three-dimensional structure from single particle X-ray scattering of completely randomly oriented diffraction patterns as predicted few decades back has been real due to the advent of the new emerging X-ray Free Electron Laser…

Soft Condensed Matter · Physics 2015-11-24 M. Uddin

A multi-resolution hexahedron element and method is presented with a new multi-resolution analysis (MRA) framework. The MRA framework is formulated out of a mutually nesting displacement subspace sequence, whose basis functions are…

Computational Physics · Physics 2015-05-27 Yi Ming Xia , Shao Lin Chen

The multiresolution analysis (MRA) associated with the Special affine Fourier transform (SAFT) provides a structured approach for generating orthonormal bases in \( L^2(\mathbb R) \), making it a powerful tool for advanced signal analysis.…

Functional Analysis · Mathematics 2026-01-12 Vikash K. Sahu , Waseem Z. Lone , Amit K. Verma

In this article, discrete variants of several results from vector calculus are studied for classical finite difference summation by parts operators in two and three space dimensions. It is shown that existence theorems for scalar/vector…

Numerical Analysis · Mathematics 2020-02-12 Hendrik Ranocha , Katharina Ostaszewski , Philip Heinisch

Holographic models of QCD provide the spectrum of heavy vector meson masses and electromagnetic decay constants through bulk computations of the current-current correlation function. Conversely, the phenomenology of heavy vector mesons is…

High Energy Physics - Phenomenology · Physics 2025-09-12 Saulo Diles , Miguel Angel Martin Contreras , Alfredo Vega

The Helmholtz decomposition splits a sufficiently smooth vector field into a gradient field and a divergence-free rotation field. Existing decomposition methods impose constraints on the behavior of vector fields at infinity and require…

Mathematical Physics · Physics 2023-03-06 Erhard Glötzl , Oliver Richters

We construct a multiresolution theory for spaces bigger then L^2(R). For a good choice of the dilation and translation operators on these larger spaces, it is possible to build singly generated wavelet bases, thus obtaining examples of…

Functional Analysis · Mathematics 2007-10-25 Stefan Bildea , Dorin Ervin Dutkay , Gabriel Picioroaga

We discuss a procedure to construct multi-resolution analyses (MRA) of $\Lc^2(\R)$ starting from a given {\em seed} function $h(s)$ which should satisfy some conditions. Our method, originally related to the quantum mechanical hamiltonian…

Mathematical Physics · Physics 2009-11-13 F. Bagarello

We develop and analyze a class of matrix-valued spherical-convolution kernels stemming from scaled zonal functions on $\mathbb{S}^2,$ the unit sphere embedded in $\mathbb{R}^3$. The construct of these kernels utilizes the Legendre…

Numerical Analysis · Mathematics 2026-05-08 Zhengjie Sun , Biao Huang , Xingping Sun
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