Modern 3SUM Conjecture
Canonical statement
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For every \(\varepsilon>0\), there is no randomized
bounded-error \(O(n^{2-\varepsilon})\)-time word-RAM algorithm that,
given \(n\) distinct \(O(\log n)\)-bit integers, decides whether three
distinct input integers \(a,b,c\) satisfy
\[
a+b+c=0.
\]Notes
The 3SUM problem asks, given distinct integers, whether three of them satisfy ; the straightforward algorithm runs in quadratic time. The modern conjecture asserts that no randomized bounded-error algorithm solves the problem in time for any on a word RAM with -bit inputs. The hypothesis descends from the work of Gajentaan and Overmars, who in 1995 identified a large class of computational-geometry problems that are 3SUM-hard and all seemingly stuck at quadratic time [GajentaanOvermars1995].
The older, literal expectation that no -time algorithm exists was refuted: Grønlund and Pettie gave algorithms beating by logarithmic factors [GronlundPettie2014ThreeSUM], which is why the modern formulation excludes only polynomial improvements of the form . On the hardness side, the conjecture supports conditional lower bounds well beyond geometry, including higher polynomial lower bounds obtained by Kopelowitz, Pettie and Porat [KopelowitzPettiePorat2016].
The conjecture remains open: no fixed-polynomial speedup over quadratic time is known, and no unconditional quadratic lower bound either; settling it requires one or the other.
References (3)
- [GajentaanOvermars1995]
On a class of O(n^2) problems in computational geometry
Open ↗Anka Gajentaan and Mark H. Overmars · 1995 · misc
- [GronlundPettie2014ThreeSUM]
Threesomes, degenerates, and love triangles
Open ↗Allan Grønlund and Seth Pettie · 2014 · misc
- [KopelowitzPettiePorat2016]
Higher lower bounds from the 3SUM conjecture
Open ↗Tsvi Kopelowitz and Seth Pettie and Ely Porat · 2016 · misc
The boxed statement is the canonical open formulation — not a stronger variant or a related research program. The status reflects the catalog's last review; do your own literature search before investing serious effort.