Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing 2022
DOI: 10.1145/3519935.3520025
|View full text |Cite
|
Sign up to set email alerts
|

Ideals, determinants, and straightening: proving and using lower bounds for polynomial ideals

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 69 publications
0
4
0
Order By: Relevance
“…For another link of our work to polynomial identity testing, we refer to [1], where it is shown that any non‐zero element f$f$ in the ideal generated by false(r+1false)×false(r+1false)$(r+1) \times (r+1)$‐minors can be used as an oracle in the construction of a small circuit that approximately computes the s×s$s \times s$‐determinant, for s=normalΘfalse(r1/3false)$s=\Theta (r^{1/3})$. This can be understood as expressing that such a polynomial has high border complexity , a different measure of complexity than the number of terms considered in this paper.…”
Section: No Short Polynomials Vanish On Bounded‐rank Matricesmentioning
confidence: 99%
“…For another link of our work to polynomial identity testing, we refer to [1], where it is shown that any non‐zero element f$f$ in the ideal generated by false(r+1false)×false(r+1false)$(r+1) \times (r+1)$‐minors can be used as an oracle in the construction of a small circuit that approximately computes the s×s$s \times s$‐determinant, for s=normalΘfalse(r1/3false)$s=\Theta (r^{1/3})$. This can be understood as expressing that such a polynomial has high border complexity , a different measure of complexity than the number of terms considered in this paper.…”
Section: No Short Polynomials Vanish On Bounded‐rank Matricesmentioning
confidence: 99%
“…Using an observation due to Baur and Strassen [BS83, Corollary 6], a lower bound on the border rank of matrix multiplication lifts to a lower bound on the border multiplicative complexity of the polynomial tr(XY Z), where X, Y , and Z are n × n matrices. Results of Andrews and Forbes [AF22] allow us to further lift this lower bound to the ideal I r where r is the size of the smallest algebraic branching program computing tr(XY Z). Because tr(XY Z) can be computed by an algebraic branching program with O(n 2 ) vertices, we obtain a lower bound of Ω(R( √ r)) on the multiplicative complexity of I r .…”
Section: Our Techniquesmentioning
confidence: 99%
“…We denote by I det n,m,r ⊆ F[X] the ideal of F[X] generated by the r × r minors of X. We make use the following proposition of Andrews and Forbes [AF22], which reduces the task of proving lower bounds on all polynomials in I det n,m,r to the task of proving lower bounds on products of minors. We note that the polynomial (K σ |K σ )(X) appearing in the statement of [AF22, Proposition 3.5] is exactly the same as the product of determinants that appears in the proposition below.…”
Section: Determinantal Ideals and Matrix Rankmentioning
confidence: 99%
See 1 more Smart Citation