Okol'nishnikova E.A.
Sobolev Institute of Mathematics of Siberian Branch of Russian Academy of Sciences
(Novosibirsk)
The problem of finding nontrivial lower bounds on the complexity of "well-defined" Boolean functions is one of the most important problems in the mathematical theory of complexity. In the paper the computation of characteristic functions of Reed-Muller codes by nondeterministic branching programs is considered. It is known that almost all Boolean functions can't be computed by nondeterministic branching program of the size less than , where is a constant. But the best known lower bounds on the complexity for nondeterministic branching programs is the bound , obtained by Pudlak [4] by the use of Nechiporuk method. From the result of Razborov [2] for switch-rectifier circuits follows the bound on the complexity of some symmetric Boolean functions for nondeterministic branching programs.
In [1] the bound on the complexity of characteristic functions of BCH-codes with a code distance for deterministic branching programs was obtained. In the paper we use a modification of a method from [1] to obtain nonlinear lower bounds on the complexity of characteristic functions of Reed-Muller codes for nondeterministic branching programs. Deterministic branching programs are a special case of nondeterministic branching programs. Therefore all obtained bounds are valid for deterministic branching programs too.
We use the programs with restrictions on the number of occurance of each variable in each path (namely, branching read--times only programs) for obtaining lower bounds for programs without restrictions.
By denote the complexity of a Boolean function for nondeterministic branching programs.
Let , and be natural numbers, such that . We introduce the following denotation:
Let us consider all possible representations of the function as
(4) |
By we denote the minimum number of disjunctive terms in representation (4).
By we denote the maximum number of "ones" of a Boolean function that belong to - faces of the cube.
By denote a Reed-Muller code with a code distance [3]. A total number of variables of the characteristic function of this code is equal to . In order to obtain the main result of the paper we also use the generalized Hamming weights for Read-Muller codes considered by Wei [5].
This research was supported by the Russian Foundation for Basic Research (Grant 00-01-00874) and the Federal program "Integration" (Project AO-110).
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