Arithmetic circuits : A chasm at depth three four

We show that, over Q, if an n-variate polynomial of degree d = nO(1) is computable by an arithmetic circuit of size s (respectively by an algebraic branching program of size s) then it can also be computed by a depth three circuit (i.e. a ΣΠΣ-circuit) of size exp(O( √ d log d log n log s)) (respectively of size exp(O( √ d log n log s))). In particular this yields a ΣΠΣ circuit of size exp(O( √ d · log d)) computing the d × d determinant Detd. It also means that if we can prove a lower bound of exp(ω( √ d · log d)) on the size of any ΣΠΣcircuit computing the d × d permanent Permd then we get superpolynomial lower bounds for the size of any arithmetic circuit computing Permd. We then give some further results pertaining to derandomizing polynomial identity testing and circuit lower bounds. The ΣΠΣ circuits that we construct have the property that (some of) the intermediate polynomials have degree much higher than d. Indeed such a counterintuitive construction is unavoidable it is known (cf. Appendix A) that in any ΣΠΣ circuit C computing either Detd or Permd, if every multiplication gate has fanin at most d (or any constant multiple thereof) then C must have size at least exp(Ω(d)). ISSN 1433-8092 Electronic Colloquium on Computational Complexity, Revision 1 of Report No. 26 (2013)

[1]  Avi Wigderson,et al.  Rank bounds for design matrices with applications to combinatorial geometry and locally correctable codes , 2010, STOC '11.

[2]  Dan Romik,et al.  Stirling's Approximation for n!: the Ultimate Short Proof? , 2000, Am. Math. Mon..

[3]  Leslie G. Valiant,et al.  Fast Parallel Computation of Polynomials Using Few Processors , 1983, SIAM J. Comput..

[4]  Nitin Saxena,et al.  Diagonal Circuit Identity Testing and Lower Bounds , 2008, ICALP.

[5]  Amir Shpilka,et al.  Quasipolynomial-Time Identity Testing of Non-commutative and Read-Once Oblivious Algebraic Branching Programs , 2013, 2013 IEEE 54th Annual Symposium on Foundations of Computer Science.

[6]  Leslie G. Valiant,et al.  Completeness classes in algebra , 1979, STOC.

[7]  Ran Raz Tensor-Rank and Lower Bounds for Arithmetic Formulas , 2013, JACM.

[8]  A. Wigderson P, N P and Mathematics – a Computational Complexity Perspective , 2022 .

[9]  Amir Yehudayoff,et al.  Arithmetic Circuits: A survey of recent results and open questions , 2010, Found. Trends Theor. Comput. Sci..

[10]  D. Littlewood,et al.  The Theory of Group Characters and Matrix Representations of Groups , 2006 .

[11]  G. Hardy,et al.  Asymptotic Formulaæ in Combinatory Analysis , 1918 .

[12]  R. Lathe Phd by thesis , 1988, Nature.

[13]  Noam Nisan,et al.  Lower bounds on arithmetic circuits via partial derivatives , 2005, computational complexity.

[14]  Neeraj Kayal,et al.  Approaching the Chasm at Depth Four , 2013, 2013 IEEE Conference on Computational Complexity.

[15]  Marek Karpinski,et al.  An exponential lower bound for depth 3 arithmetic circuits , 1998, STOC '98.

[16]  V. Vinay,et al.  Arithmetic Circuits: A Chasm at Depth Four , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.

[17]  Guillaume Malod,et al.  Characterizing Valiant's algebraic complexity classes , 2008, J. Complex..

[18]  Russell Impagliazzo,et al.  Derandomizing Polynomial Identity Tests Means Proving Circuit Lower Bounds , 2003, STOC '03.

[19]  Nitin Saxena,et al.  The Power of Depth 2 Circuits over Algebras , 2009, FSTTCS.

[20]  Meena Mahajan,et al.  Non-Commutative Arithmetic Circuits: Depth Reduction and Size Lower Bounds , 1998, Theor. Comput. Sci..

[21]  Pascal Koiran,et al.  Arithmetic circuits: The chasm at depth four gets wider , 2010, Theor. Comput. Sci..

[22]  Avi Wigderson,et al.  Depth-3 arithmetic circuits over fields of characteristic zero , 2002, computational complexity.

[23]  Alexander A. Razborov,et al.  Exponential Lower Bounds for Depth 3 Arithmetic Circuits in Algebras of Functions over Finite Fields , 2000, Applicable Algebra in Engineering, Communication and Computing.

[24]  Manindra Agrawal,et al.  Proving Lower Bounds Via Pseudo-random Generators , 2005, FSTTCS.

[25]  Joos Heintz,et al.  Testing polynomials which are easy to compute (Extended Abstract) , 1980, STOC '80.

[26]  Avi Wigderson,et al.  IMPROVED RANK BOUNDS FOR DESIGN MATRICES AND A NEW PROOF OF KELLY’S THEOREM , 2012, Forum of Mathematics, Sigma.

[27]  M. Newman,et al.  Topics in Algebra , 1978 .

[28]  I. Fischer Sums of like powers of multivariate linear forms , 1994 .

[29]  Salil P. Vadhan,et al.  Computational Complexity , 2005, Encyclopedia of Cryptography and Security.

[30]  W. J. Ellison A `Waring's problem' for homogeneous forms , 1969 .