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Related papers: The geometry of rank-one tensor completion

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The main contribution of this note is to establish a framework to extend results of tensor functions over specific field to general field. As a consequence of this framework, we extend the existing work to more general settings: \emph{(1)}…

Commutative Algebra · Mathematics 2026-03-11 Qiyuan Chen

We consider the matrix completion problem with a deterministic pattern of observed entries. In this setting, we aim to answer the question: under what condition there will be (at least locally) unique solution to the matrix completion…

Machine Learning · Computer Science 2019-01-30 Alexander Shapiro , Yao Xie , Rui Zhang

We define new norms for symmetric tensors over ordered normed spaces; these norms are defined by considering linear combinations of tensor products or powers of positive elements only. Relations between the different norms are studied. The…

Functional Analysis · Mathematics 2018-11-07 Svante Janson

We address the general problem of estimating the probability that a real symmetric tensor is close to rank-one tensors. Using Weyl's tube formula, we turn this question into a differential geometric one involving the study of metric…

Algebraic Geometry · Mathematics 2024-12-10 Alberto Cazzaniga , Antonio Lerario , Andrea Rosana

Restriction is a natural quasi-order on $d$-way tensors. We establish a remarkable aspect of this quasi-order in the case of tensors over a fixed finite field -- namely, that it is a well-quasi-order: it admits no infinite antichains and no…

Algebraic Geometry · Mathematics 2025-09-03 Andreas Blatter , Jan Draisma , Filip Rupniewski

In this paper, we present a unified analysis of matrix completion under general low-dimensional structural constraints induced by {\em any} norm regularization. We consider two estimators for the general problem of structured matrix…

Machine Learning · Statistics 2018-11-26 Suriya Gunasekar , Arindam Banerjee , Joydeep Ghosh

This is the first of a two part paper investigating the geometry of the integrator reach sets, and the applications thereof. In this Part I, assuming box-valued input uncertainties, we establish that this compact convex reach set is…

Systems and Control · Electrical Eng. & Systems 2022-12-07 Shadi Haddad , Abhishek Halder

Motivated by applications to low-rank matrix completion, we give a combinatorial characterization of the independent sets in the algebraic matroid associated to the collection of $m\times n$ rank-2 matrices and $n\times n$ skew-symmetric…

Combinatorics · Mathematics 2017-07-17 Daniel Irving Bernstein

The results of Strassen and Raz show that good enough tensor rank lower bounds have implications for algebraic circuit/formula lower bounds. We explore tensor rank lower and upper bounds, focusing on explicit tensors. For odd d, we…

Computational Complexity · Computer Science 2012-03-05 Boris Alexeev , Michael Forbes , Jacob Tsimerman

In this paper we discuss curvature tensors in the context of Absolute Parallelism geometry. Different curvature tensors are expressed in a compact form in terms of the torsion tensor of the canonical connection. Using the Bianchi identities…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Nabil L. Youssef , Amr M. Sid-Ahmed

One of the fundamental open problems in the field of tensors is the border Comon's conjecture: given a symmetric tensor $F\in(\mathbb{C}^n)^{\otimes d}$ for $d\geq 3$, its border and symmetric border ranks are equal. In this paper, we prove…

Algebraic Geometry · Mathematics 2024-11-11 Tomasz Mańdziuk , Emanuele Ventura

Matrices can be decomposed via rank-one approximations: the best rank-one approximation is a singular vector pair, and the singular value decomposition writes a matrix as a sum of singular vector pairs. The singular vector tuples of a…

Algebraic Geometry · Mathematics 2025-12-02 Alvaro Ribot , Emil Horobet , Anna Seigal , Ettore Teixeira Turatti

A graph is geometric 1-planar if it admits a straight-line drawing where each edge is crossed at most once. We provide the first systematic study of the parameterized complexity of recognizing geometric 1-planar graphs. By substantially…

Computational Complexity · Computer Science 2026-02-11 Alexander Firbas

We give a brief introduction to tensor triangulated geometry, a brief introduction to various motivic categories, and then make some observations about the conjectural structure of the tensor triangulated spectrum of the Morel-Voevodsky…

Algebraic Geometry · Mathematics 2016-08-10 Shane Kelly

Eigenvectors of tensors, as studied recently in numerical multilinear algebra, correspond to fixed points of self-maps of a projective space. We determine the number of eigenvectors and eigenvalues of a generic tensor, and we show that the…

Numerical Analysis · Mathematics 2018-06-18 Dustin Cartwright , Bernd Sturmfels

Many idealized problems in signal processing, machine learning and statistics can be reduced to the problem of finding the symmetric canonical decomposition of an underlying symmetric and orthogonally decomposable (SOD) tensor. Drawing…

Numerical Analysis · Computer Science 2017-05-31 Cun Mu , Daniel Hsu , Donald Goldfarb

Consider a semi-algebraic set A in R^d constructed from the sets which are determined by inequalities p_i(x)>0, p_i(x)\ge 0, or p_i(x)=0 for a given list of polynomials p_1,...,p_m. We prove several statements that fit into the following…

Algebraic Geometry · Mathematics 2008-05-06 Gennadiy Averkov

We investigate the computational complexity of tensor rank, a concept that plays fundamental role in different topics of modern applied mathematics. For tensors over any integral domain, we prove that the rank problem is polynomial time…

Combinatorics · Mathematics 2016-11-08 Yaroslav Shitov

The use of partial geometries to construct parity-check matrices for LDPC codes has resulted in the design of successful codes with a probability of error close to the Shannon capacity at bit error rates down to $10^{-15}$. Such…

Information Theory · Computer Science 2015-03-25 Qiuju Diao , Juane Li , Shu Lin , Ian Blake

Conjugate partial-symmetric (CPS) tensors are the high-order generalization of Hermitian matrices. As the role played by Hermitian matrices in matrix theory and quadratic optimization, CPS tensors have shown growing interest recently in…

Optimization and Control · Mathematics 2018-02-27 Taoran Fu , Bo Jiang , Zhening Li