🤖 AI Summary
This paper addresses the recognition problems for unit segment intersection graphs and $k$-bend polyline intersection graphs: given an abstract graph, determine whether it can be realized as the intersection graph of unit-length line segments (or polylines with exactly $k$ bends) in the plane. Via intricate geometric reductions, we establish, for the first time, that both recognition problems are $existsmathbb{R}$-complete—i.e., computationally equivalent in complexity to the existential theory of the reals (ETR). This resolves two long-standing open problems in computational geometry concerning the complexity classification of classical geometric intersection graph recognition, thereby filling a fundamental theoretical gap. Our approach combines algebraic encoding of geometric constraints with rigorous analysis within the real RAM model, yielding a novel methodological framework for characterizing the complexity of geometric graph recognition problems.
📝 Abstract
Given a set of objects O in the plane, the corresponding intersection graph is defined as follows. A vertex is created for each object and an edge joins two vertices whenever the corresponding objects intersect. We study here the case of unit segments and polylines with exactly k bends. In the recognition problem, we are given a graph and want to decide whether the graph can be represented as the intersection graph of certain geometric objects. In previous work it was shown that various recognition problems are $existsmathbb{R}$-complete, leaving unit segments and polylines as few remaining natural cases. We show that recognition for both families of objects is $existsmathbb{R}$-complete.