Lower Bounds for Intersection Reporting among Flat Objects
Peyman Afshani, Pingan Cheng

TL;DR
This paper establishes fundamental lower bounds on the space complexity of data structures for intersection reporting among flat objects in high-dimensional spaces, explaining the limitations of recent upper bound improvements.
Contribution
It provides the first lower bounds that nearly match known upper bounds for small query time intersection reporting among flat objects, extending and refining previous techniques.
Findings
Lower bounds of (n^{2(d-1)-o(1)}) space for set of (d-1)-dimensional simplices in -dimensional space.
Almost matching space lower bound of (n^{6-o(1)}) for triangle-triangle intersection in =4.
Explanation of the difficulty in surpassing existing tradeoff bounds for flat object intersection searching.
Abstract
Recently, Ezra and Sharir [ES22a] showed an space and query time data structure for ray shooting among triangles in . This improves the upper bound given by the classical space-time tradeoff for the first time in almost 25 years and in fact lies on the tradeoff curve of . However, it seems difficult to apply their techniques beyond this specific space and time combination. This pheonomenon appears persistently in almost all recent advances of flat object intersection searching, e.g., line-tetrahedron intersection in [ES22b], triangle-triangle intersection in [ES22b], or even among flat semialgebraic objects [AAEKS22]. We give a timely explanation to this phenomenon from a lower bound perspective. We prove that given a set of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
