TY - GEN
T1 - The limits of depth reduction for arithmetic formulas
T2 - 4th Annual ACM Symposium on Theory of Computing, STOC 2014
AU - Kumar, Mrinal
AU - Saraf, Shubhangi
PY - 2014
Y1 - 2014
N2 - In recent years, a very exciting and promising method for proving lower bounds for arithmetic circuits has been proposed. This method combines the method of depth reduction developed in the works of Agrawal and Vinay[1], Koiran [11] and Tavenas [16], and the use of the shifted partial derivative complexity measure developed in the works of Kayal [9] and Gupta et al [5]. These results inspired a urry of other beautiful results and strong lower bounds for various classes of arithmetic circuits, in particular a recent work of Kayal et al [10] showing superpolynomial lower bounds for regular arithmetic formulas via an improved depth reduction for these formulas. It was left as an intriguing question if these methods could prove superpolynomial lower bounds for general (homogeneous) arithmetic formulas, and if so this would indeed be a breakthrough in arithmetic circuit complexity. In this paper we study the power and limitations of depth reduction and shifted partial derivatives for arithmetic formulas. We do it via studying the class of depth 4 homogeneous arithmetic circuits. We show: (1) the first superpolynomial lower bounds for the class of homogeneous depth 4 circuits with top fan-in o(log n). The core of our result is to show improved depth reduction for these circuits. This class of circuits has received much attention for the problem of polynomial identity testing. We give the first nontrivial lower bounds for these circuits for any top fan-in ≥ 2. (2) We show that improved depth reduction is not possible when the top fan-in isω(log n). In particular this shows that the depth reduction procedure of Koiran and Tavenas [11, 16] cannot be improved even for homogeneous formulas, thus strengthening the results of Fournier et al [3] who showed that depth reduction is tight for circuits, and answering some of the main open questions of [10, 3]. Our results in particular suggest that the method of improved depth reduction and shifted partial derivatives may not be powerful enough to prove superpolynomial lower bounds for (even homogeneous) arithmetic formulas.
AB - In recent years, a very exciting and promising method for proving lower bounds for arithmetic circuits has been proposed. This method combines the method of depth reduction developed in the works of Agrawal and Vinay[1], Koiran [11] and Tavenas [16], and the use of the shifted partial derivative complexity measure developed in the works of Kayal [9] and Gupta et al [5]. These results inspired a urry of other beautiful results and strong lower bounds for various classes of arithmetic circuits, in particular a recent work of Kayal et al [10] showing superpolynomial lower bounds for regular arithmetic formulas via an improved depth reduction for these formulas. It was left as an intriguing question if these methods could prove superpolynomial lower bounds for general (homogeneous) arithmetic formulas, and if so this would indeed be a breakthrough in arithmetic circuit complexity. In this paper we study the power and limitations of depth reduction and shifted partial derivatives for arithmetic formulas. We do it via studying the class of depth 4 homogeneous arithmetic circuits. We show: (1) the first superpolynomial lower bounds for the class of homogeneous depth 4 circuits with top fan-in o(log n). The core of our result is to show improved depth reduction for these circuits. This class of circuits has received much attention for the problem of polynomial identity testing. We give the first nontrivial lower bounds for these circuits for any top fan-in ≥ 2. (2) We show that improved depth reduction is not possible when the top fan-in isω(log n). In particular this shows that the depth reduction procedure of Koiran and Tavenas [11, 16] cannot be improved even for homogeneous formulas, thus strengthening the results of Fournier et al [3] who showed that depth reduction is tight for circuits, and answering some of the main open questions of [10, 3]. Our results in particular suggest that the method of improved depth reduction and shifted partial derivatives may not be powerful enough to prove superpolynomial lower bounds for (even homogeneous) arithmetic formulas.
KW - Arithmetic formula
KW - Depth reduction
KW - Lower bounds
KW - Shifted partial derivatives
UR - http://www.scopus.com/inward/record.url?scp=84904294417&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904294417&partnerID=8YFLogxK
U2 - 10.1145/2591796.2591827
DO - 10.1145/2591796.2591827
M3 - Conference contribution
AN - SCOPUS:84904294417
SN - 9781450327107
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 136
EP - 145
BT - STOC 2014 - Proceedings of the 2014 ACM Symposium on Theory of Computing
PB - Association for Computing Machinery
Y2 - 31 May 2014 through 3 June 2014
ER -