🤖 AI Summary
通过引入通信复杂性提升技术,解决了Anselmo等人提出的关于可识别图像语言的UREC和coUREC分离问题。
📝 Abstract
We introduce communication-complexity lifting techniques into the study of recognizable picture languages. As an application, we resolve a long-standing open problem of Anselmo et al. (2006) by constructing a language in UREC whose complement does not belong to REC. Our lower-bound argument is inspired by the communication-complexity approach to unambiguous automata of Göös et al. (2022), although its implementation in the setting of picture languages requires substantially different technical ingredients.