Guest Column: Structure in Communication Complexity and Constant-Cost Complexity Classes

Hamed Hatami, Pooya Hatami
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Abstract

Several theorems and conjectures in communication complexity state or speculate that the complexity of a matrix in a given communication model is controlled by a related analytic or algebraic matrix parameter, e.g., rank, sign-rank, discrepancy, etc. The forward direction is typically easy as the structural implications of small complexity often imply a bound on some matrix parameter. The challenge lies in establishing the reverse direction, which requires understanding the structure of Boolean matrices for which a given matrix parameter is small or large. We will discuss several research directions that align with this overarching theme.
特邀专栏:通信复杂性和恒定成本复杂性类别中的结构
通信复杂性中的一些定理和猜想指出或推测,给定通信模型中矩阵的复杂性受相关解析或代数矩阵参数的控制,例如秩、符号秩、差异等。正向推导通常很容易,因为小复杂度的结构含义往往意味着对某些矩阵参数的约束。挑战在于建立反向,这需要了解给定矩阵参数较小或较大的布尔矩阵结构。我们将讨论与这一首要主题相一致的几个研究方向。
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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