Lower Bounds Against Sparse Symmetric Functions of ACC Circuits: Expanding the Reach of #SAT Algorithms
Author(s)
Vyas, Nikhil; Williams, R. R.
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Abstract
We continue the program of proving circuit lower bounds via circuit satisfiability algorithms. So far, this program has yielded several concrete results, proving that functions in
Quasi
-
NP
=
NTIME
[
n
(
log
n
)
O
(
1
)
]
$\mathsf {Quasi}\text {-}\mathsf {NP} = \mathsf {NTIME}[n^{(\log n)^{O(1)}}]$
and other complexity classes do not have small circuits (in the worst case and/or on average) from various circuit classes
C
$\mathcal { C}$
, by showing that
C
$\mathcal { C}$
admits non-trivial satisfiability and/or # SAT algorithms which beat exhaustive search by a minor amount. In this paper, we present a new strong lower bound consequence of having a non-trivial # SAT algorithm for a circuit class
C
${\mathcal C}$
. Say that a symmetric Boolean function f(x1,…,xn) is sparse if it outputs 1 on O(1) values of
∑
i
x
i
${\sum }_{i} x_{i}$
. We show that for every sparse f, and for all “typical”
C
$\mathcal { C}$
, faster # SAT algorithms for
C
$\mathcal { C}$
circuits imply lower bounds against the circuit class
f
∘
C
$f \circ \mathcal { C}$
, which may be stronger than
C
$\mathcal { C}$
itself. In particular:
# SAT algorithms for nk-size
C
$\mathcal { C}$
-circuits running in 2n/nk time (for all k) imply NEXP does not have
(
f
∘
C
)
$(f \circ \mathcal { C})$
-circuits of polynomial size.
# SAT algorithms for
2
n
ε
$2^{n^{{\varepsilon }}}$
-size
C
$\mathcal { C}$
-circuits running in
2
n
−
n
ε
$2^{n-n^{{\varepsilon }}}$
time (for some ε > 0) imply Quasi-NP does not have
(
f
∘
C
)
$(f \circ \mathcal { C})$
-circuits of polynomial size.
Applying # SAT algorithms from the literature, one immediate corollary of our results is that Quasi-NP does not have EMAJ ∘ ACC0 ∘ THR circuits of polynomial size, where EMAJ is the “exact majority” function, improving previous lower bounds against ACC0 [Williams JACM’14] and ACC0 ∘THR [Williams STOC’14], [Murray-Williams STOC’18]. This is the first nontrivial lower bound against such a circuit class.
Date issued
2022-11-04Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Springer US
Citation
Vyas, Nikhil and Williams, R. R. 2022. "Lower Bounds Against Sparse Symmetric Functions of ACC Circuits: Expanding the Reach of #SAT Algorithms."
Version: Final published version