Log-Rank Conjecture
Canonical statement
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There is an absolute constant \(C\) such that every
nonconstant total Boolean function \(f:X\times Y\to\{0,1\}\) satisfies
\[
D(f)\leq
\bigl(1+\log_2\operatorname{rank}_{\mathbb R}M_f\bigr)^C,
\]
where \(M_f=(f(x,y))_{x\in X,y\in Y}\) and \(D(f)\) is the minimum
worst-case number of communicated bits in a deterministic two-party
protocol computing \(f\).Notes
The log-rank conjecture, posed by Lovász and Saks in 1988 [LovaszSaks1988LogRank], asks whether the deterministic communication complexity of a total Boolean function is bounded by a fixed power of , where is the communication matrix of over the reals. Since a protocol exchanging bits partitions the matrix into at most monochromatic rectangles, is an elementary lower bound on ; the conjecture asserts that this bound is polynomially tight.
The gap between the two quantities remains wide. The best universal upper bounds on in terms of rank are far larger than any polylogarithm: Lovett showed that communication is bounded by roughly the square root of the rank [Lovett2016LogRank]. Many equivalent formulations and confirmed special cases are known, and the surrounding developments are surveyed by Lovett [Lovett2014Survey].
The conjecture is still open; resolving it requires either protocols of cost polylogarithmic in the rank for every total function, or a function whose communication complexity exceeds every fixed power of its log-rank.
References (3)
- [LovaszSaks1988LogRank]
Lattices, Möbius functions and communications complexity
Open ↗László Lovász and Michael Saks · 1988 · misc
- [Lovett2016LogRank]
Communication is bounded by root of rank
Open ↗Shachar Lovett · 2016 · misc
- [Lovett2014Survey]
Recent advances on the log-rank conjecture in communication complexity
Open ↗Shachar Lovett · 2014 · 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.