来自偏导数的显式交换 ROABP

Vishwas Bhargava, Anamay Tengse
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引用次数: 0

摘要

偏导数维度(Nisan 和 Wigderson,1997 年)是证明代数复杂性下限的常用度量。它被用来给出多项式的华林分解(称为华林秩)的强下界。这自然引出了一个有趣的开放问题:这一度量是否本质上表征了任何多项式的华林秩?经过深入研究的只读遗忘 ABPs(简称 ROABPs)模型本身具有有趣的 "子模型 "层次:任意阶 ROABPs (ARO)、交换 ROABPs 和对角 ROABPs。根据以前的研究,对于任何多项式,对其瓦林秩的约束意味着对其对角线 ROABP 复杂性的类似约束(称为对偶技巧),而对其偏导数维数的约束意味着对其 "ARO 复杂性 "的类似约束:任何阶的 ROABP 复杂性(Nisan,1991 年)。我们的工作通过证明偏导数维数的约束实际上意味着交换 ROABP 复杂性的约束,加强了后一种联系。因此,我们改进了对偏导数的理解,并向回答上述问题迈近了一步。我们的证明建立在 Ramya 和 Tengse (2022) 的工作基础之上,证明了任何同次多项式的交换 ROABP 宽度最多是其偏导数的维数。这一技术本身是对 Saxena (2008) 提出的对偶技巧证明的推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explicit Commutative ROABPs from Partial Derivatives
The dimension of partial derivatives (Nisan and Wigderson, 1997) is a popular measure for proving lower bounds in algebraic complexity. It is used to give strong lower bounds on the Waring decomposition of polynomials (called Waring rank). This naturally leads to an interesting open question: does this measure essentially characterize the Waring rank of any polynomial? The well-studied model of Read-once Oblivious ABPs (ROABPs for short) lends itself to an interesting hierarchy of 'sub-models': Any-Order-ROABPs (ARO), Commutative ROABPs, and Diagonal ROABPs. It follows from previous works that for any polynomial, a bound on its Waring rank implies an analogous bound on its Diagonal ROABP complexity (called the duality trick), and a bound on its dimension of partial derivatives implies an analogous bound on its 'ARO complexity': ROABP complexity in any order (Nisan, 1991). Our work strengthens the latter connection by showing that a bound on the dimension of partial derivatives in fact implies a bound on the commutative ROABP complexity. Thus, we improve our understanding of partial derivatives and move a step closer towards answering the above question. Our proof builds on the work of Ramya and Tengse (2022) to show that the commutative-ROABP-width of any homogeneous polynomial is at most the dimension of its partial derivatives. The technique itself is a generalization of the proof of the duality trick due to Saxena (2008).
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