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Arithmetic Circuits: A Survey of Recent Results and Open Questions

机译:算术电路:最近的结果和未解决的问题的调查

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A large class of problems in symbolic computation can be expressed as the task of computing some polynomials; and arithmetic circuits form the most standard model for studying the complexity of such computations. This algebraic model of computation attracted a large amount of research in the last five decades, partially due to its simplicity and elegance. Being a more structured model than Boolean circuits, one could hope that the fundamental problems of theoretical computer science, such as separating P from NP, will be easier to solve for arithmetic circuits. However, in spite of the appearing simplicity and the vast amount of mathematical tools available, no major breakthrough has been seen. In fact, all the fundamental questions are still open for this model as well. Nevertheless, there has been a lot of progress in the area and beautiful results have been found, some in the last few years. As examples we mention the connection between polynomial identity testing and lower bounds of Kabanets and Impagliazzo, the lower bounds of Raz for multilinear formulas, and two new approaches for proving lower bounds: Geometric Complexity Theory and Elusive Functions. The goal of this monograph is to survey the field of arithmetic circuit complexity, focusing mainly on what we find to be the most interesting and accessible research directions. We aim to cover the main results and techniques, with an emphasis on works from the last two decades. In particular, we discuss the recent lower bounds for multilinear circuits and formulas, the advances in the question of deterministically checking polynomial identities, and the results regarding reconstruction of arithmetic circuits. We do, however, also cover part of the classical works on arithmetic circuits. In order to keep this monograph at a reasonable length, we do not give full proofs of most theorems, but rather try to convey the main ideas behind each proof and demonstrate it, where possible, by proving some special cases.
机译:符号计算中的一大类问题可以表示为一些多项式的计算任务。算术电路构成了研究此类计算复杂性的最标准模型。在过去的五十年中,这种代数计算模型吸引了大量的研究,部分是由于其简单和优雅。作为一种比布尔电路更结构化的模型,人们可以希望理论计算机科学的基本问题,例如将P与NP分开,将更容易解决算术电路。但是,尽管看起来很简单,并且可以使用大量的数学工具,但仍未见重大突破。实际上,该模型还存在所有基本问题。尽管如此,在过去的几年中,该领域已经取得了很大的进步,并取得了不错的成绩。作为示例,我们提到多项式恒等性检验与Kabanets和Impagliazzo的下界,多线性公式的Raz的下界以及证明下界的两种新方法之间的联系:几何复杂度理论和易失函数。本专着的目的是调查算术电路复杂性领域,主要集中在我们认为是最有趣和可访问的研究方向上。我们的目标是涵盖主要成果和技术,重点是过去二十年来的作品。特别是,我们讨论了多线性电路和公式的最新下界,确定性检查多项式恒等问题的进展以及有关算术电路重构的结果。但是,我们的确也涵盖了有关算术电路的经典著作的一部分。为了使本专着保持合理的长度,我们不提供大多数定理的完整证明,而是尝试传达每个证明背后的主要思想,并在可能的情况下通过证明一些特殊情况进行说明。

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