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相关论文: A Unified Range Characterization for the Spherical…

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This article provides a novel and simple range description for the spherical mean transform of functions supported in the unit ball of an odd dimensional Euclidean space. The new description comprises a set of symmetry relations between the…

经典分析与常微分方程 · 数学 2024-07-18 Divyansh Agrawal , Gaik Ambartsoumian , Venkateswaran P. Krishnan , Nisha Singhal

The paper presents a new and simple range characterization for the spherical mean transform of functions supported in the unit ball in even dimensions. It complements the previous work of the same authors, where they solved an analogous…

经典分析与常微分方程 · 数学 2025-05-01 Divyansh Agrawal , Gaik Ambartsoumian , Venkateswaran P. Krishnan , Nisha Singhal

We describe the range of a restricted spherical mean transform, which sends a function supported inside a closed ball in a hyperbolic space to its mean values on the geodesics spheres centered at the boundary of the ball. The description…

微分几何 · 数学 2011-09-28 Linh V. Nguyen

The paper is devoted to the range description of the Radon type transform that averages a function over all spheres centered on a given sphere. Such transforms arise naturally in thermoacoustic tomography, a novel method of medical imaging.…

偏微分方程分析 · 数学 2011-10-04 Mark Agranovsky , David Finch , Peter Kuchment

The transform considered in the paper averages a function supported in a ball in $\RR^n$ over all spheres centered at the boundary of the ball. This Radon type transform arises in several contemporary applications, e.g. in thermoacoustic…

偏微分方程分析 · 数学 2007-06-09 M. Agranovsky , P. Kuchment , E. T. Quinto

The transform under study is defined by integration of functions over spheres centered on a sphere. Such transform is of interest due to its applications in analysis and (thermoacoustic) tomography. The range of this transform has been…

偏微分方程分析 · 数学 2009-04-28 Mark Agranovsky , Linh V. Nguyen

We consider the Neumann version of the spherical mean value operator and its variants in the space of smooth functions, distributions and compactly supported ones. Surjectivity and range characterization issues are addressed from the…

泛函分析 · 数学 2020-03-24 Yasunori Okada , Hideshi Yamane

The transform considered in the paper integrates a function supported in the unit disk on the plane over all circles centered at the boundary of this disk. Such circular Radon transform arises in several contemporary imaging techniques, as…

综合数学 · 数学 2007-05-23 Gaik Ambartsoumian , Peter Kuchment

In the articles [1] and [2] of D. Finch, M. Haltmeier, S. Patch and D. Rakesh inversion formulas were found in any dimension $n\geq2$ for recovering a smooth function with compact support in the unit ball from spherical means centered on…

偏微分方程分析 · 数学 2012-08-29 Yehonatan Salman

The spherical mean transform associates to a function $f$ its integral averages over all spheres. We consider the spherical mean transform for functions supported in the unit ball $\mathbb{B}$ in $\mathbb{R}^n$ for odd $n$, with the centers…

经典分析与常微分方程 · 数学 2024-06-25 Divyansh Agrawal , Gaik Ambartsoumian , Venkateswaran P. Krishnan , Nisha Singhal

We establish range characterizations, or data consistency conditions, for an integral transform that maps a function to its weighted integrals over conical surfaces in $\mathbb{R}^n$. We consider two different geometries for the cone…

泛函分析 · 数学 2026-05-04 Fatma Terzioglu , Lili Yan

We prove that if the shape of the metric unit ball in a homogeneous group enjoys a precise symmetry property, then the associated distance yields the standard form of the area formula. The result applies to some classes of smooth and…

度量几何 · 数学 2024-09-26 Francesca Corni , Valentino Magnani

The paper contains a simple proof of the Finch-Patch-Rakesh inversion formula for the spherical mean Radon transform in odd dimensions. This transform arises in thermoacoustic tomography. Applications are given to the Cauchy problem for the…

泛函分析 · 数学 2007-11-14 Boris Rubin

The standardized mean difference (SMD) is a widely used measure of effect size, particularly common in psychology, clinical trials, and meta-analysis involving continuous outcomes. Traditionally, under the equal variance assumption, the SMD…

统计方法学 · 统计学 2025-06-05 Jiandong Shi , Xiaochen Zhang , Lu Lin , Hiu Yee Kwan , Tiejun Tong

Series representations consisting of spherical harmonics are obtained for characteristic exponents and probability density functions of multivariate stable distributions under various conditions. A esult potentially applicable in a…

概率论 · 数学 2021-10-18 Zhiyi Chi

We study the spherical mean transform on $\rN^n$. The transform is characterized by the Euler-Poisson-Darboux equation. By looking at the spherical harmonic expansions, we obtain a system of 1+1-dimension hyperbolic equations, which provide…

偏微分方程分析 · 数学 2012-01-04 Linh V. Nguyen

This work characterizes the range of the single-quadrant approximate discrete Radon transform (ADRT) of square images. The characterization follows from a set of linear constraints on the codomain. We show that for data satisfying these…

数值分析 · 数学 2022-03-23 Weilin Li , Kui Ren , Donsub Rim

A thorough analysis is presented of the class of central fields of force that exhibit: (i) dimensional transmutation and (ii) rotational invariance. Using dimensional regularization, the two-dimensional delta-function potential and the…

高能物理 - 理论 · 物理学 2010-11-19 Horacio E. Camblong , Luis N. Epele , Huner Fanchiotti , Carlos A. Garcia Canal

Characteristic modes of a spherical shell are found analytically as spherical harmonics normalized to radiate unitary power and to fulfill specific boundary conditions. The presented closed-form formulas lead to a proposal of precise…

计算物理 · 物理学 2019-02-19 Miloslav Capek , Vit Losenicky , Lukas Jelinek , Mats Gustafsson

In this paper we introduce the Constant Width Measure Set, which measures the constant width property of an oval, i.e. the planar simple closed strictly convex curve. We study its geometrical properties. We find the exact relation between…

微分几何 · 数学 2025-09-16 M. Zwierzyński
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