# On Threshold Circuits and Polynomial Computation

- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Stephen R. Tate, Professor and Department Head (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/

**Abstract:** A Threshold Circuit consists of an acyclic digraph of unbounded fanin, where each node computes
a threshold function or its negation. This paper investigates the computational power of Threshold Circuits.
A surprising relationship is uncovered between Threshold Circuits and another class of unbounded fanin
circuits which are denoted Finite Field *Z _{P}*(

*n*) Circuits, where each node computes either multiple sums or products of integers modulo a prime

*P*(

*n*). In particular, it is proved that all functions computed by Threshold Circuits of size

*S*(

*n*) ≥ n and depth D(n) can also be computed by

*Z*Circuits of size

_{P(n)}*O*(

*S*(

*n*) log

*S*(

*n*) +

*nP*(

*n*) log

*P*(

*n*)) and depth

*O*(

*D*(

*n*)). Furthermore, it is shown that all functions computed by

*Z*(

_{P}*n*) Circuits of size

*S*(

*n*) and depth

*D*(

*n*) can be computed by Threshold Circuits of size

*O*((1/∈

^{2})(

*S*(

*n*) log

*P*(

*n*))

^{1+∈}) and depth

*O*((1/∈

^{5})

*D*(

*n*)). These are the main results of this paper.

There are many useful and quite surprising consequences of this result. For example, an integer reciprocal can be computed in size

*n*(1)M and depth

^{O}*O*(1). More generally, any analytic function with a convergent rational polynomial power series (such as sine, cosine, exponentiation, square root, and logarithm) can be computed within accuracy 2

^{-nc}, for any constant

*c*, by Threshold Circuits of polynomial size and constant depth. In addition, integer and polynomial division, FFf, polynomial interpolation, Chinese Remaindering, all the elementary symmetric functions, banded matrix inverse, and triangular Toeplitz matrix inverse can be exactly computed by Threshold Circuits of polynomial size and constant depth. All these results and simulations hold for polytime uniform circuits. This paper also gives a corresponding simulation oflogspace uniform

*Z*(

_{P}*n*) Circuits by logspace uniform Threshold Circuits requiring an additional multiplying factor of

*O*(log log log

*P*(

*n*) depth.

Finally, purely algebraic methods forlowerbounds for ZP(n) Circuits are developed. Using degree arguments, a Depth Hierarchy Theorem for

*Z*(

_{P}*n*) Circuits is proved: for any

*S*(

*n*) ≥

*n*,

*D*(

*n*) =

*O*(

*S*(

*n*)

^{c'}) for some constant

*c'*< 1, and prime

*P*(

*n*) where 6(

*S*(

*n*)/

*D*(

*n*))

^{D(n)}<

*P*(

*n*)

*c'*2

^{n}, there exist explicitly constructible functions computable by

*Z*(

_{P}*n*) Circuits of size

*S*(

*n*) and depth

*D*(

*n*), but provably not computable by

*Z*(

_{P}*n*) Circuits of size

*S*(

*n*)

^{c}and depth

*o*

*D*(

*n*)) for any constant c ≥ 1.

On Threshold Circuits and Polynomial Computation

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Created on 3/11/2011

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## Additional Information

- Publication
- SIAM Journal on Computing Vol. 21, No.5, pp. 896-908, October 1992
- Language: English
- Date: 1992
- Keywords
- Circuit complexity, Threshold circuits, Finite field circuits

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