KRW Composition Theorems via Lifting

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

One of the major open problems in complexity theory is proving super-logarithmic lower bounds on the depth of circuits (i.e., P⊈NC1 ). Karchmer, Raz, and Wigderson [13] suggested to approach this problem by proving that depth complexity behaves “as expected” with respect to the composition of functions f⋄g . They showed that the validity of this conjecture would imply that P⊈NC1 . Several works have made progress toward resolving this conjecture by proving special cases. In particular, these works proved the KRW conjecture for every outer function, but only for few inner functions. Thus, it is an important challenge to prove the KRW conjecture for a wider range of inner functions. In this work, we extend significantly the range of inner functions that can be handled. First, we consider the monotone version of the KRW conjecture. We prove it for every monotone inner function whose depth complexity can be lower bounded via a query-to-communication lifting theorem. This allows us to handle several new and well-studied functions such as the s−t -connectivity, clique, and generation functions. In order to carry this progress back to the non-monotone setting, we introduce a new notion of semi-monotone composition, which combines the non-monotone complexity of the outer function with the monotone complexity of the inner function. In this setting, we prove the KRW conjecture for a similar selection of inner functions, but only for a specific choice of the outer function f .
OriginalsprogEngelsk
TitelProceedings of the 61st Annual IEEE Symposium on Foundations of Computer Science (FOCS '20)
ForlagIEEE
Publikationsdato1 nov. 2020
Sider4149
ISBN (Elektronisk)978-1-7281-9621-3
DOI
StatusUdgivet - 1 nov. 2020
Begivenhed61st Annual Symposium on Foundations of Computer Science (FOCS), 2020 IEEE
- Durham, NC, USA
Varighed: 16 nov. 202019 nov. 2020

Konference

Konference61st Annual Symposium on Foundations of Computer Science (FOCS), 2020 IEEE
LandUSA
ByDurham, NC
Periode16/11/202019/11/2020

ID: 251872420