Relations between energy complexity measures of Boolean networks and positive sensitivity of Boolean functions

Author:

Mestetskiy Mikhail A.1,Shupletsov Mikhail S.1

Affiliation:

1. Lomonosov Moscow State University , Moscow Russia

Abstract

Abstract We study relationships between lower estimates for the energy complexity E(Σ), the switching complexity S(Σ) of a normalized Boolean network Σ, and the positive sensitivity ps(f) of the Boolean function f implemented by this circuit. The lower estimate E ( Σ ) ps ( f ) 1 m $\begin{array}{} \displaystyle E({\it\Sigma})\geqslant \lfloor\frac{\text{ps}(f)-1}{m}\rfloor \end{array}$ is proved for a sufficiently wide class of bases consisting of monotone Boolean functions of at most m variables, the negation gate, and the Boolean constants 0 and 1. For the switching complexity of circuits, we construct a counterexample which shows that, for the standard basis of elements of the disjunction, conjunction, and negation, there do not exist a linear (with respect to ps(f)) lower estimate for the switching complexity.

Publisher

Walter de Gruyter GmbH

Reference8 articles.

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2. Sima J., “Energy complexity of recurrent neural networks”, Neural Comput., 26:5 (2014), 953–973.

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