Completeness for the Complexity Class $$\forall \exists \mathbb {R}$$ and Area-Universality

Author:

Dobbins Michael Gene,Kleist LindaORCID,Miltzow Tillmann,Rzążewski Paweł

Abstract

AbstractExhibiting a deep connection between purely geometric problems and real algebra, the complexity class $$\exists \mathbb {R}$$ R plays a crucial role in the study of geometric problems. Sometimes $$\exists \mathbb {R}$$ R is referred to as the ‘real analog’ of NP. While NP is a class of computational problems that deals with existentially quantified boolean variables, $$\exists \mathbb {R}$$ R deals with existentially quantified real variables. In analogy to $$\Pi _2^p$$ Π 2 p and $$\Sigma _2^p$$ Σ 2 p in the famous polynomial hierarchy, we study the complexity classes $$\forall \exists \mathbb {R}$$ R and $$ \exists \forall \mathbb {R}$$ R with real variables. Our main interest is the AreaUniversality problem, where we are given a plane graph G, and ask if for each assignment of areas to the inner faces of G, there exists a straight-line drawing of G realizing the assigned areas. We conjecture that AreaUniversality is $$\forall \exists \mathbb {R}$$ R -complete and support this conjecture by proving $$\exists \mathbb {R}$$ R - and $$\forall \exists \mathbb {R}$$ R -completeness of two variants of AreaUniversality. To this end, we introduce tools to prove $$\forall \exists \mathbb {R}$$ R -hardness and membership. Finally, we present geometric problems as candidates for $$\forall \exists \mathbb {R}$$ R -complete problems. These problems have connections to the concepts of imprecision, robustness, and extendability.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

European Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Geometry and Topology,Theoretical Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Beyond the Existential Theory of the Reals;Theory of Computing Systems;2023-12-12

2. The Complexity of the Hausdorff Distance;Discrete & Computational Geometry;2023-09-27

3. The Complexity of Recognizing Geometric Hypergraphs;Lecture Notes in Computer Science;2023

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