A Field-Theoretic View of Unlabeled Sensing

Fuente: arXiv
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Main Authors: Liang, Hao, Lu, Jingyu, Tsakiris, Manolis C., Zhi, Lihong
Format: Preprint
Published: 2023
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author Liang, Hao
Lu, Jingyu
Tsakiris, Manolis C.
Zhi, Lihong
author_facet Liang, Hao
Lu, Jingyu
Tsakiris, Manolis C.
Zhi, Lihong
contents Unlabeled sensing is the problem of solving a linear system of equations, where the right-hand-side vector is known only up to a permutation. In this work, we study fields of rational functions related to symmetric polynomials and their images under a linear projection of the variables; as a consequence, we establish that the solution to an n-dimensional unlabeled sensing problem with generic data can be obtained as the unique solution to a system of n + 1 polynomial equations of degrees 1, 2, . . . , n + 1 in n unknowns. Besides the new theoretical insights, this development offers the potential for scaling up algebraic unlabeled sensing algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2303_01175
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Field-Theoretic View of Unlabeled Sensing
Liang, Hao
Lu, Jingyu
Tsakiris, Manolis C.
Zhi, Lihong
Commutative Algebra
Information Theory
Signal Processing
Unlabeled sensing is the problem of solving a linear system of equations, where the right-hand-side vector is known only up to a permutation. In this work, we study fields of rational functions related to symmetric polynomials and their images under a linear projection of the variables; as a consequence, we establish that the solution to an n-dimensional unlabeled sensing problem with generic data can be obtained as the unique solution to a system of n + 1 polynomial equations of degrees 1, 2, . . . , n + 1 in n unknowns. Besides the new theoretical insights, this development offers the potential for scaling up algebraic unlabeled sensing algorithms.
title A Field-Theoretic View of Unlabeled Sensing
topic Commutative Algebra
Information Theory
Signal Processing
url https://arxiv.org/abs/2303.01175