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In this article, we study the problem of recovering symmetric $m$-tensor fields (including vector fields) supported in a unit disk $\mathbb{D}$ from a set of generalized V-line transforms, namely longitudinal, transverse, and mixed V-line…

数值分析 · 数学 2024-11-08 Rohit Kumar Mishra , Anamika Purohit , Indrani Zamindar

We study the inverse problem of recovering a vector field in $\mathbb{R}^2$ from a set of new generalized $V$-line transforms in three different ways. First, we introduce the longitudinal and transverse $V$-line transforms for vector fields…

经典分析与常微分方程 · 数学 2020-10-28 Gaik Ambartsoumian , Mohammad Javad Latifi Jebelli , Rohit Kumar Mishra

In two dimensions, we consider the problem of reconstructing a vector field from partial knowledge of its zeroth and first moment ray transforms. Different from existing works the data is known on a subset of lines, namely the ones…

数值分析 · 数学 2025-06-23 Hiroshi Fujiwara , Kamran Sadiq , Alexandru Tamasan

We present a technique for recovering a vector field and a symmetric $2$-tensor field, both real-valued and compactly supported in some strictly convex bounded domain with smooth boundary in the Euclidean plane, from the sum of their…

偏微分方程分析 · 数学 2025-05-06 Rahul Bhardwaj , Karishman B. Solanki

In this paper, a restricted transverse ray transform acting on vector and symmetric $m$-tensor fields is studied. We developed inversion algorithms using restricted transverse ray transform data to recover symmetric $m$-tensor fields in…

经典分析与常微分方程 · 数学 2024-02-28 Rohit Kumar Mishra , Chandni Thakkar

We study the microlocal inversion of the ray transform on symmetric $m$-tensor fields restricted to all lines passing through a curve in $\mathbb{R}^{n}$. From this incomplete data, we show that the wavefront set of the solenoidal component…

偏微分方程分析 · 数学 2018-08-03 Venkateswaran P. Krishnan , Rohit Kumar Mishra

In this article, we study a restricted mixed ray transform acting on second-order tensor fields in 3-dimensional Euclidean space and prove the invertibility of this integral transform using microlocal techniques. Here, the mixed ray…

偏微分方程分析 · 数学 2024-09-17 Chandni Thakkar

We introduce an analytic method which stably reconstructs both components of a (sufficiently) smooth, real valued, vector field compactly supported in the plane from knowledge of its Doppler transform and its first moment Doppler transform.…

偏微分方程分析 · 数学 2024-05-22 Hiroshi Fujiwara , David Omogbhe , Kamran Sadiq , Alexandru Tamasan

Vector tomography methods intend to reconstruct and visualize vector fields in restricted domains by measuring line integrals of projections of these vector fields. Here, we deal with the reconstruction of irrotational vector functions from…

定量方法 · 定量生物学 2017-05-03 Alexandra Koulouri

This article studies the inverse problem of recovering a vector field supported in $\mathbb{D}_R$, the disk of radius $R$ centered at the origin, through a set of generalized broken ray/V-line transforms, namely longitudinal and transverse…

经典分析与常微分方程 · 数学 2024-04-22 Rahul Bhardwaj , Rohit Kumar Mishra , Manmohan Vashisth

Weighted V-line transforms map a symmetric tensor field of order $m\ge0$ to a linear combination of certain integrals of those fields along two rays emanating from the same vertex. A significant focus of current research in integral…

经典分析与常微分方程 · 数学 2025-11-05 Gaik Ambartsoumian , Rohit Kumar Mishra , Indrani Zamindar

We study a set of generalized V-line transforms, namely longitudinal, mixed, and transverse V-line transforms, of a symmetric $m$-tensor field in $\mathbb{R}^2$. The goal of this article is to recover a symmetric $m$-tensor field…

偏微分方程分析 · 数学 2025-02-10 Rahul Bhardwaj

In vector tomography (VT), the aim is to reconstruct an unknown multi-dimensional vector field using line integral data. In the case of a 2-dimensional VT, two types of line integral data are usually required. These data correspond to…

数学物理 · 物理学 2025-07-18 Alexandra Koulouri , Mike Brookes , Ville Rimpilainen

This paper is concerned with the question of reconstructing a vector in a finite-dimensional complex Hilbert space when only the magnitudes of the coefficients of the vector under a redundant linear map are known. We present new…

泛函分析 · 数学 2015-03-06 Radu Balan

We study the problem of inverting a restricted transverse ray transform to recover a symmetric $m$-tensor field in $\mathbb{R}^3$ using microlocal analysis techniques. More precisely, we prove that a symmetric $m$-tensor field can be…

偏微分方程分析 · 数学 2020-11-10 Venkateswaran P. Krishnan , Rohit Kumar Mishra , Suman Kumar Sahoo

In this article, we establish that any symmetric $m$-tensor field can be recovered pointwise from partial data of the $k$-th weighted divergent ray transform for any $k \in \mathbb{Z}^{+} \cup\{0\}$. Using the unique continuation property…

偏微分方程分析 · 数学 2025-09-12 Shubham R. Jathar , Manas Kar , Venkateswaran P. Krishnan , Rahul Raju Pattar

We characterize collections of orthogonal projections for which it is possible to reconstruct a vector from the magnitudes of the corresponding projections. As a result we are able to show that in an $M$-dimensional real vector space a…

泛函分析 · 数学 2015-06-03 Dan Edidin

We consider the tomography problem of recovering a covector field on a simple Riemannian manifold based on its weighted Doppler transformation over a family of curves $\Gamma$. This is a generalization of the attenuated Doppler transform.…

微分几何 · 数学 2009-05-15 Sean Holman , Plamen Stefanov

In this article, we introduce and study various V-line transforms (VLTs) defined on symmetric 2-tensor fields in $\mathbb{R}^2$. The operators of interest include the longitudinal, transverse, and mixed VLTs, their integral moments, and the…

经典分析与常微分方程 · 数学 2024-01-23 Gaik Ambartsoumian , Rohit Kumar Mishra , Indrani Zamindar

We consider the renormalization of massive vector field interacting with charged scalar field in curved spacetime. Starting with the theory minimally coupled to external gravity and using the formulations with and without St\"uckelberg…

高能物理 - 理论 · 物理学 2024-10-03 Ioseph L. Buchbinder , Públio Rwany B. R. do Vale , Guilherme Y. Oyadomari , Ilya L. Shapiro
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