Orthogonal Vectors Conjecture
Canonical statement
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For every \(\varepsilon>0\), there is a constant \(c>0\)
such that no randomized bounded-error
\(O(n^{2-\varepsilon})\)-time algorithm, given
\(A,B\subseteq\{0,1\}^{d}\) with
\(|A|=|B|=n\) and \(d=c\log n\), decides whether there exist
\(a\in A,b\in B\) with
\[
\langle a,b\rangle=0.
\]Notes
The Orthogonal Vectors conjecture concerns the following problem: given families with and dimension , decide whether some and satisfy . The conjecture asserts that for every there is a constant for which no randomized bounded-error algorithm runs in time . Its modern formulation emerged around 2005 from Williams's reduction of CNF satisfiability to this problem, which shows that SETH implies the conjecture [Williams2005OV].
Algorithmic progress via the polynomial method gives savings over the quadratic bound that fall short of a truly subquadratic running time in the regime [AbboudWilliamsWang2015OV]. On the hardness side, the conjecture is the source of many tight conditional quadratic lower bounds in string algorithms, geometry, and databases, including for string comparison and dynamic time warping [Bringmann2019FineGrained].
No truly subquadratic algorithm and no unconditional near-quadratic lower bound are known in this dimension regime. The conjecture is open, and refuting it would also refute SETH.
References (3)
- [Williams2005OV]
A new algorithm for optimal 2-constraint satisfaction and its implications
Open ↗Ryan Williams · 2005 · misc
- [AbboudWilliamsWang2015OV]
More applications of the polynomial method to algorithm design
Open ↗Amir Abboud and Virginia Vassilevska Williams and Huacheng Yu · 2015 · misc
- [Bringmann2019FineGrained]
Quadratic conditional lower bounds for string problems and dynamic time warping
Open ↗Karl Bringmann and Marvin Künnemann · 2015 · 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.