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Related papers: The geometry of rank-one tensor completion

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We study the rank one completion problem for tensors of arbitrary orders. The notion of rank one determinable tensors is introduced. We explore its properties and propose a recursive algorithm for computing rank one tensor completion. This…

Numerical Analysis · Mathematics 2026-04-28 Linghao Zhang , Ioana Dumitriu , Jiawang Nie

Matrices of rank at most k are defined by the vanishing of polynomials of degree k + 1 in their entries (namely, their (k + 1)-times-(k + 1)-subdeterminants), regardless of the size of the matrix. We prove a qualitative analogue of this…

Algebraic Geometry · Mathematics 2015-01-14 Jan Draisma , Jochen Kuttler

We investigate the fundamental conditions on the sampling pattern, i.e., locations of the sampled entries, for finite completability of a low-rank tensor given some components of its Tucker rank. In order to find the deterministic necessary…

Numerical Analysis · Computer Science 2019-05-13 Morteza Ashraphijuo , Vaneet Aggarwal , Xiaodong Wang

This educational article highlights the geometric and algebraic complexities that distinguish tensors from matrices, to supplement coverage in advanced courses on linear algebra, matrix analysis, and tensor decompositions. Using the case of…

Numerical Analysis · Mathematics 2025-04-08 Gabriel H. Brown , Joe Kileel , Tamara G. Kolda

Motivated by questions arising in signal processing, computational complexity, and other areas, we study the ranks and border ranks of symmetric tensors using geometric methods. We provide improved lower bounds for the rank of a symmetric…

Algebraic Geometry · Mathematics 2009-09-28 J. M. Landsberg , Zach Teitler

For tensors of fixed order, we establish three types of upper bounds for the geometric rank in terms of the subrank. Firstly, we prove that, under a mild condition on the characteristic of the base field, the geometric rank of a tensor is…

Combinatorics · Mathematics 2025-06-23 Qiyuan Chen , Ke Ye

We make a geometric study of the Geometric Rank of tensors recently introduced by Kopparty et al. Results include classification of tensors with degenerate geometric rank in $C^3\otimes C^3\otimes C^3$, classification of tensors with…

Computational Complexity · Computer Science 2022-08-24 Runshi Geng , J. M. Landsberg

The set of matrices of given positive semidefinite rank is semialgebraic. In this paper we study the geometry of this set, and in small cases we describe its boundary. For general values of positive semidefinite rank we provide a conjecture…

Algebraic Geometry · Mathematics 2017-01-11 Kaie Kubjas , Elina Robeva , Richard Z. Robinson

We introduce subspace rank as a tool for studying ranks of tensors and X-rank more generally. We derive a new upper bound for the rank of a tensor and determine the ranks of partially symmetric tensors in C^2 \otimes C^b \otimes C^b. We…

Algebraic Geometry · Mathematics 2014-06-02 Jarosław Buczyński , J. M. Landsberg

This paper studies the rank-1 tensor completion problem for cubic tensors when there are noises for observed tensor entries. First, we propose a robust biquadratic optimization model for obtaining rank-1 completing tensors. When the…

Optimization and Control · Mathematics 2025-04-02 Jiawang Nie , Xindong Tang , Jinling Zhou

In this paper, we give a survey of the known results concerning the tensor rank of the multiplication in finite extensions of finite fields, enriched with some not published recent results as well as analyzes enhancing the qualitative…

We consider the problem of low canonical polyadic (CP) rank tensor completion. A completion is a tensor whose entries agree with the observed entries and its rank matches the given CP rank. We analyze the manifold structure corresponding to…

Machine Learning · Computer Science 2017-04-03 Morteza Ashraphijuo , Xiaodong Wang

This paper investigates the low-rank tensor completion problem, which is about recovering a tensor from partially observed entries. We consider this problem in the tensor train format and extend the preconditioned metric from the matrix…

Optimization and Control · Mathematics 2023-04-19 Jian-Feng Cai , Wen Huang , Haifeng Wang , Ke Wei

In this paper, we consider the rank-one tensor completion problem. We address the question of existence and uniqueness of the rank-one solution. In particular we show that the global uniqueness over the field of real numbers can be verified…

Numerical Analysis · Mathematics 2020-09-23 Mohit Singh , Alexander Shapiro , Rui Zhang

In this paper we generalize the 1-bit matrix completion problem to higher order tensors. We prove that when $r=O(1)$ a bounded rank-$r$, order-$d$ tensor $T$ in $\mathbb{R}^{N} \times \mathbb{R}^{N} \times \cdots \times \mathbb{R}^{N}$ can…

Statistics Theory · Mathematics 2018-12-05 Navid Ghadermarzy , Yaniv Plan , Ozgur Yilmaz

Though algebraic geometry over $\mathbb C$ is often used to describe the closure of the tensors of a given size and complex rank, this variety includes tensors of both smaller and larger rank. Here we focus on the $n\times n\times n$…

Algebraic Geometry · Mathematics 2012-11-16 Elizabeth S. Allman , Peter D. Jarvis , John A. Rhodes , Jeremy G. Sumner

Our purpose is to investigate the local boundedness, the upper semicontinuity, and the stability of the solution map of tensor complementarity problems. To do this, we focus on the set of R$_0$--tensors and show that this set plays an…

Optimization and Control · Mathematics 2018-11-27 Vu Trung Hieu

This paper studies the rank-$1$ tensor completion problem for cubic tensors. First of all, we show that this problem is equivalent to a special rank-$1$ matrix recovery problem. When the tensor is strongly rank-$1$ completable, we show that…

Optimization and Control · Mathematics 2024-10-23 Jinling Zhou , Jiawang Nie , Zheng Peng , Guangming Zhou

In this paper we study finite dimensional algebras, in particular finite semifields, through their correspondence with nonsingular threefold tensors. We introduce a alternative embedding of the tensor product space into a projective space.…

Combinatorics · Mathematics 2024-03-14 Stefano Lia , John Sheekey

In this paper, we analyze the fundamental conditions for low-rank tensor completion given the separation or tensor-train (TT) rank, i.e., ranks of unfoldings. We exploit the algebraic structure of the TT decomposition to obtain the…

Machine Learning · Computer Science 2017-03-23 Morteza Ashraphijuo , Xiaodong Wang
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