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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…

Numerical Analysis · Mathematics 2025-06-23 Hiroshi Fujiwara , Kamran Sadiq , Alexandru Tamasan

Transformers gain huge attention since they are first introduced and have a wide range of applications. Transformers start to take over all areas of deep learning and the Vision transformers paper also proved that they can be used for…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Yiğit Gündüç

We propose a method for computing integrable orthogonal frame fields on planar surfaces. Frames and their symmetries are implicitly represented using orthogonally decomposable (odeco) tensors. To formulate an integrability criterion, we…

Computational Geometry · Computer Science 2024-03-21 Mattéo Couplet , Alexandre Chemin , Jean-François Remacle

We show injectivity of the geodesic X-ray transform on piecewise constant functions when the transform is weighted by a continuous matrix weight. The manifold is assumed to be compact and nontrapping of any dimension, and in dimension three…

Differential Geometry · Mathematics 2020-10-23 Joonas Ilmavirta , Jesse Railo

In this work, we study a set of generalized Radon transforms over symmetric $m$-tensor fields in $\mathbb{R}^n$. The longitudinal/transversal Radon transform and corresponding weighted integral transforms for symmetric $m$-tensor field are…

Analysis of PDEs · Mathematics 2025-02-05 Anuj Abhishek , Rohit Kumar Mishra , Chandni Thakkar

We derive a Cartesian componentwise description of the covariant derivative of tangential tensor fields of any degree on general manifolds. This allows to reformulate any vector- and tensor-valued surface PDE in a form suitable to be solved…

Numerical Analysis · Mathematics 2019-05-01 Michael Nestler , Ingo Nitschke , Axel Voigt

This note is propaedeutic to the forthcoming work \cite{sil}; here we develop the terminology and results required by that paper. More specifically we introduce the concept of scalarly essentially integrable locally convex vector-valued…

Functional Analysis · Mathematics 2020-10-07 Benedetto Silvestri

Consider a finite-dimensional real vector space equipped with a finite group acting unitarily on it. We address the general problem of constructing Euclidean stable embeddings of the quotient space of orbits. Our approach is based on…

Representation Theory · Mathematics 2025-08-15 Radu Balan , Efstratios Tsoukanis

We give an explicit plane-by-plane filtered back-projection reconstruction algorithm for the transverse ray transform of symmetric second rank tensor fields on Euclidean 3-space, using data from rotation about three orthogonal axes. We show…

Analysis of PDEs · Mathematics 2016-11-03 Naeem M. Desai , William R. B. Lionheart

Many known Radon-type transforms of symmetric (radial or zonal) functions are represented by one-dimensional Riemann-Liouville fractional integrals or their modifications. The present article contains new examples of such transforms in the…

Functional Analysis · Mathematics 2024-12-31 Boris Rubin

One way to study an hypergraph is to attach to it a tensor. Tensors are a generalization of matrices, and they are an efficient way to encode information in a compact form. In this paper we study how properties of weighted hypergraphs are…

Combinatorics · Mathematics 2022-02-02 Francesco Galuppi , Raffaella Mulas , Lorenzo Venturello

In spherical surface wave tomography, one measures the integrals of a function defined on the sphere along great circle arcs. This forms a generalization of the Funk--Radon transform, which assigns to a function its integrals along full…

Numerical Analysis · Mathematics 2018-08-13 Ralf Hielscher , Daniel Potts , Michael Quellmalz

In general, matrix or tensor-valued functions are approximated using the method developed for vector-valued functions by transforming the matrix-valued function into vector form. This paper proposes a tensor-based interpolation method to…

Numerical Analysis · Mathematics 2026-05-08 Brij Nandan Tripathi , Hanumant Singh Shekhawat , Seip Weiland

We introduce the concept of bi-conformal transformation, as a generalization of conformal ones, by allowing two orthogonal parts of a manifold with metric $\G$ to be scaled by different conformal factors. In particular, we study their…

Mathematical Physics · Physics 2016-08-16 Alfonso García-Parrado , José M. M. Senovilla

We characterize the kernel of the mixed ray transform on simple $2$-dimensional Riemannian manifolds, that is, on simple surfaces for tensors of any order.

Differential Geometry · Mathematics 2018-08-07 Maarten V. de Hoop , Teemu Saksala , Jian Zhai

Designing flat sheets that can be made to deform into 3D shapes is an area of intense research with applications in micromachines, soft robotics, and medical implants. Thus far, such sheets were designed to adopt a single target shape.…

Soft Condensed Matter · Physics 2021-10-14 Itay Griniasty , Cyrus Mostajeran , Itai Cohen

A method to reconstruct weakly anisotropic inhomogeneous dielectric tensors inside a transparent medium is proposed. The mathematical theory of Integral Geometry is cast into a workable framework which allows the full determination of…

Optics · Physics 2009-11-10 Hanno Hammer , William R. B. Lionheart

We derive reconstruction formulas for a family of geodesic ray transforms with connection, defined on simple Riemannian surfaces. Such formulas provide injectivity of such all transforms in a neighbourhood of constant curvature metrics and…

Differential Geometry · Mathematics 2017-09-22 François Monard , Gabriel P. Paternain

We develop a formalism for evaluation of the transverse momentum dependence of cross sections of the radiation processes in medium. The analysis is based on the light-cone path integral approach to the induced radiation. The results are…

High Energy Physics - Phenomenology · Physics 2009-10-31 Bronislav G. Zakharov

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…

Classical Analysis and ODEs · Mathematics 2024-02-28 Rohit Kumar Mishra , Chandni Thakkar