DocumentCode
3183491
Title
Polynomials that sign represent parity and Descartes rule of signs
Author
Basu, Saugata ; Bhatnagar, Nayantara ; Gopalan, Parikshit ; Lipton, Richard J.
Author_Institution
Sch. of Math., Georgia Tech, USA
fYear
2004
fDate
21-24 June 2004
Firstpage
223
Lastpage
235
Abstract
We study the sparsity of real polynomials that sign represent parity on n variables, each of which takes values from some finite subset A of integers. While the degree of such polynomials has been well studied by M. Minsky and S. Papert (1968) and J. Aspnes (1994), relatively little is known about their sparsity. We study this problem using Descartes rule of signs, a classical result in algebra, relating the sparsity of a polynomial to its number of real roots. We show that sign representing parity over {0,1,..., m - 1}n with the degree in each variable at most m - 1 requires sparsity at least mn. We show a bound of (m - l)n for weak representations. We show that a tradeoff exists between sparsity and degree, by constructing a sign representation that has higher degree but lower sparsity. In some cases, the difference in sparsities is exponential. We show a lower bound of n(m - 2) + 1 on the sparsity of polynomials of any degree representing parity over {0, 1, ..., m -1 }n. We prove exact bounds on the sparsity of such polynomials for any two element subset A. We show that for depth-two and-or-not circuits with a threshold gate at the top, the minimum circuit size for a function f equals the minimum sparsity of a polynomial sign representing f over a certain basis. We use this to give a simple proof that such circuits need size (3/2)n to compute parity, which improves on previous bounds by M. Goldmann (1997). We also show a tight lower bound of 2n for the inner product function over {0,1}n × {0,1}n. The main technical tool used is Descartes rule of signs. Our bounds hold for various bases where Descartes sign rule is valid.
Keywords
computational complexity; polynomials; Descartes sign rule; algebra; degree representing parity; depth-two and-or-not circuits; polynomial sparsity; polynomials; sign representing parity; Algebra; Character generation; Circuits; Complexity theory; Computational modeling; Computer science; Educational institutions; Engineering profession; Mathematics; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Complexity, 2004. Proceedings. 19th IEEE Annual Conference on
ISSN
1093-0159
Print_ISBN
0-7695-2120-7
Type
conf
DOI
10.1109/CCC.2004.1313846
Filename
1313846
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