Mathematics /4. Applied Mathematics

Dr. Sci. (Phys.-Math), Prof. Alekhina M.A.,
Cand. Sci. (Phys.-Math), Docent Moiseev A.V.

Penza State Technological University,

The recurrent formula for unreliability of circuits
 in the Rosser-Turkett basis (in
)

Let , , and let  be the set of all k-valued logic functions, i.e. functions of the type  . Consider the realization of functions of the set  by circuits of unreliable functional elements in the basis Rosser-Turkett  (also denote  and  by  and Ú  respectively [1]).

We assume, that the circuit of unreliable elements realizes the function , if in the absence of faults in it for each input set  the output value is equal .

Let the circuit  realizes the function , and let  be an arbitrary input set of the circuit , and . Denote by  the probability of the value  at the output of the circuit  on the input set , and denote by  the fault probability at the output of the circuit  on the input set . Obviously, . (In expressions  , ,...,  the addition is performed .)

For example, if the input set  of the circuit  is such that, then  the fault probability on this set is

The unreliability of the circuit , realizing the function , is called a number  equal to the maximum fault probability at the output of the circuit . The reliability of the circuit  is .

Elements of the circuit are supposed to be prone independently of each other inverse faults at the outputs with a probability  , i.e. each basic element with his assigned function  on any input set  such, that , gives a value ,  with a probability . That’s why the fault probability at the output of every basic element is . Obviously, the unreliability of any basic element is also equal , and his reliability is  .

Let  be a function of , and let  be an arbitrary circuit, realizing the function . Using  we construct a new circuit, which will be used to improve the reliability of the original circuit . For this we take two copies of the circuit  and connect their outputs with inputs of the basic element, realizing . The resulting circuit will be called a circuit . Further we take two copies of the circuit  and connect their outputs with inputs of the basic element, realizing Ú. Denote the resulting circuit by . It’s easy to check, that  the circuit  realizes the same function .

A recurrence relation for the unreliability of circuits  and  is found in Theorem 1.

Theorem 1. Let  be an arbitrary function of ,  be any circuit, realizing , and  be the unreliability of the circuit . Then the circuit  realizes the function  with the unreliability , satisfying the inequality:
 
.

Proof. Let  be an arbitrary function. Without loss of generality we can assume that the function  depends on variables . Let  be any circuit, realizing , and  be an arbitrary set, . Denote by  a fault probability  at the output of the circuit  (i.e. ) and define a fault probability at the output of the circuit  on the same set, given that the unreliability of the subcircuit of three elements (two conjunctors and one disjunctor) no more than ,

Previously [2], it was proved inequality: .

Then . Hence,

Theorem 1 is proved.

Thus, the recurrent formula for the unreliability of original and constructed circuits is found in the Rosser-Turkett basis for all . Earlier, similar formulas are known only for k equal 3 [3] and 4 [2]. In the case  this formula is precisely proposed formula, but the proof of the corresponding theorem is more cumbersome.

 This work was supported by the Russian Foundation for Basic Research (project number 14-01-00273).

References

[1]             S. V. Jablonski: Introduction to Discrete Mathematics, A textbook for higher education, ed. V. A. Sadovnichii, Moscow (in Russia), 2001.

[2]             M. A. Alekhina, S. P. Kargin: Asymptotically optimal reliable circuits in the Rosser-Turkett basis in P4, University proceedings. Volga region. Physical and mathematical sciences. 2015. N 1. P. 38–54.

[3]             M. A. Alekhina, O. Yu. Barsukova: Estimates of unreliability of circuits in the Rosser-Turkett basis, University proceedings. Volga region. Physical and mathematical sciences. 2014. N 1. P. 5–19.