Separating ABPs and some structured formulas in the non-commutative setting

Prerona Chatterjee
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引用次数: 3

Abstract

The motivating question for this work is a long standing open problem, posed by Nisan [20], regarding the relative powers of algebraic branching programs (ABPs) and formulas in the non-commutative setting. Even though the general question remains open, we make some progress towards its resolution. To that effect, we generalise the notion of ordered polynomials in the non-commutative setting (defined by Hrubeš, Wigderson and Yehudayoff [11]) to define abecedarian polynomials and models that naturally compute them. Our main contribution is a possible new approach towards resolving the VFnc vs VBPnc question, via lower bounds against abecedarian formulas. In particular, we show the following. There is an explicit n2-variate degree d abecedarian polynomial fn,d(x) such that • fn,d(X) can be computed by an abecedarian ABP of size O(nd); • any abecedarian formula computing fn,log n(X) must have size at least nΩ(log log n). We also show that a super-polynomial lower bound against abecedarian formulas for flog n, n(X) would separate the powers of formulas and ABPs in the non-commutative setting.
分离非交换条件下的abp和一些结构化公式
这项工作的激励问题是一个长期存在的开放问题,由Nisan[20]提出,关于代数分支规划(ABPs)和公式在非交换设置中的相对幂。尽管总的问题仍然悬而未决,但我们在解决这个问题方面取得了一些进展。为此,我们推广了非交换条件下有序多项式的概念(由hrubesi, Wigderson和Yehudayoff[11]定义),以定义初级多项式和自然计算它们的模型。我们的主要贡献是解决VFnc vs VBPnc问题的一种可能的新方法,通过对初级公式的下界。具体来说,我们将展示以下内容。存在一个显式的n -变量d阶先验多项式fn,d(x),使得•fn,d(x)可以由大小为O(nd)的先验ABP计算;•任何计算fn,log n(X)的初级公式必须具有至少nΩ(log log n)的大小。我们还证明了flg n, n(X)的初级公式的一个超多项式下界将在非交换设置中分离公式和abp的幂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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