Inversion formula for an integral geometry problem over surfaces of revolution

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-01-02 DOI:10.1111/sapm.12664
Zekeriya Ustaoglu
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Abstract

An integral geometry problem is considered on a family of n $n$ -dimensional surfaces of revolution whose vertices lie on a hyperplane and directions of symmetry axes are fixed and orthogonal to this plane, in R n + 1 $\mathbb {R} ^{n+1}$ . More precisely, the reconstruction of a function f ( x , y ) $f(\mathbf {x,}y)$ , x R n $\mathbf {x}\in \mathbb {R} ^{n}$ , y R $y\in \mathbb {R}$ , from the integrals of the form f ( x , y ) d x $f(\mathbf {x,}y) d\mathbf {x}$ extended over a chosen side of all surfaces of revolution of a given family is investigated. Unlike the usual Radon transform, the integrals considered here are not taken with respect to the surface area element. A Fourier slice identity and a backprojection-type inversion formula are obtained with a method based on the Fourier and Hankel transforms. The reconstruction procedure and some analytical and numerical implementations of the obtained inversion formulas in the cases of n = 1 $n=1$ and n = 2 $n=2$ are provided.

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旋转曲面上积分几何问题的反演公式
在 Rn+1$\mathbb {R} ^{n+1}$中考虑了一个 n 维旋转曲面族的积分几何问题,该曲面族的顶点位于一个超平面上,对称轴的方向固定且与该平面正交。更确切地说,函数 f(x,y)$f(\mathbf {x,}y)$,x∈Rn$\mathbf {x}\\mathbb {R} ^{n}$,y∈R$y\\mathbb {R}$的重构、的积分形式 f(x,y)dx$f(\mathbf {x,}y) d\mathbf {x}$ 扩展到给定族的所有旋转曲面的一个选定边上的问题进行了研究。与通常的拉顿变换不同,这里考虑的积分不是针对表面积元素的。通过基于傅立叶变换和汉克尔变换的方法,获得了傅立叶切片特性和反投影式反演公式。在 n=1$n=1$ 和 n=2$n=2$ 的情况下,提供了重建程序以及所获反演公式的一些分析和数值实现。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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