TY - GEN
T1 - Toward Better Depth Lower Bounds
T2 - 64th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2023
AU - Meir, Or
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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 (Computational Complexity 5(3/4), 1995) suggested approaching this problem by proving that depth complexity of a composition of functions f ⋄ g is roughly the sum of the depth complexities of f and g. They showed that the validity of this conjecture would imply that P ⊈ N C1. The intuition that underlies the KRW conjecture is that the composition f ⋄ g should behave like a 'direct-sum problem', in a certain sense, and therefore the depth complexity of f ⋄ g should be the sum of the individual depth complexities. Nevertheless, there are two obstacles toward turning this intuition into a proof: first, we do not know how to prove that f ⋄ g must behave like a direct-sum problem; second, we do not know how to prove that the complexity of the latter direct-sum problem is indeed the sum of the individual complexities. In this work, we focus on the second obstacle. To this end, we study a notion called 'strong composition', which is the same as f ⋄ g except that it is forced to behave like a direct-sum problem. We prove a variant of the KRW conjecture for strong composition, thus overcoming the above second obstacle. This result demonstrates that the first obstacle above is the crucial barrier toward resolving the KRW conjecture. Along the way, we develop some general techniques that might be of independent interest.
AB - 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 (Computational Complexity 5(3/4), 1995) suggested approaching this problem by proving that depth complexity of a composition of functions f ⋄ g is roughly the sum of the depth complexities of f and g. They showed that the validity of this conjecture would imply that P ⊈ N C1. The intuition that underlies the KRW conjecture is that the composition f ⋄ g should behave like a 'direct-sum problem', in a certain sense, and therefore the depth complexity of f ⋄ g should be the sum of the individual depth complexities. Nevertheless, there are two obstacles toward turning this intuition into a proof: first, we do not know how to prove that f ⋄ g must behave like a direct-sum problem; second, we do not know how to prove that the complexity of the latter direct-sum problem is indeed the sum of the individual complexities. In this work, we focus on the second obstacle. To this end, we study a notion called 'strong composition', which is the same as f ⋄ g except that it is forced to behave like a direct-sum problem. We prove a variant of the KRW conjecture for strong composition, thus overcoming the above second obstacle. This result demonstrates that the first obstacle above is the crucial barrier toward resolving the KRW conjecture. Along the way, we develop some general techniques that might be of independent interest.
KW - KRW conjecture
KW - KW relations
KW - Karchmer-Wigderson relations
KW - circuit complexity
KW - communication complexity
KW - depth complexity
KW - formula complexity
KW - formulas
UR - http://www.scopus.com/inward/record.url?scp=85182392887&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/FOCS57990.2023.00064
DO - https://doi.org/10.1109/FOCS57990.2023.00064
M3 - Conference contribution
T3 - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
SP - 1056
EP - 1081
BT - Proceedings - 2023 IEEE 64th Annual Symposium on Foundations of Computer Science, FOCS 2023
PB - IEEE Computer Society
Y2 - 6 November 2023 through 9 November 2023
ER -