Consensus theorem
| Variable inputs | Function values | |||
|---|---|---|---|---|
| x | y | z | {\displaystyle xy\vee {\bar {x}}z\vee yz} | {\displaystyle xy\vee {\bar {x}}z} |
| 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 1 | 1 | 1 |
| 0 | 1 | 0 | 0 | 0 |
| 0 | 1 | 1 | 1 | 1 |
| 1 | 0 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 |
| 1 | 1 | 0 | 1 | 1 |
| 1 | 1 | 1 | 1 | 1 |
In Boolean algebra, the consensus theorem or rule of consensus[1] is the identity:
- {\displaystyle xy\vee {\bar {x}}z\vee yz=xy\vee {\bar {x}}z}
The consensus or resolvent of the terms {\displaystyle xy} and {\displaystyle {\bar {x}}z} is {\displaystyle yz}. It is the conjunction of all the unique literals of the terms, excluding the literal that appears unnegated in one term and negated in the other. If {\displaystyle y} includes a term that is negated in {\displaystyle z} (or vice versa), the consensus term {\displaystyle yz} is false; in other words, there is no consensus term.
The conjunctive dual of this equation is:
- {\displaystyle (x\vee y)({\bar {x}}\vee z)(y\vee z)=(x\vee y)({\bar {x}}\vee z)}
Proof
[edit ]- {\displaystyle {\begin{aligned}xy\vee {\bar {x}}z\vee yz&=xy\vee {\bar {x}}z\vee (x\vee {\bar {x}})yz\\&=xy\vee {\bar {x}}z\vee xyz\vee {\bar {x}}yz\\&=(xy\vee xyz)\vee ({\bar {x}}z\vee {\bar {x}}yz)\\&=xy(1\vee z)\vee {\bar {x}}z(1\vee y)\\&=xy\vee {\bar {x}}z\end{aligned}}}
Consensus
[edit ]The consensus or consensus term of two conjunctive terms of a disjunction is defined when one term contains the literal {\displaystyle a} and the other the literal {\displaystyle {\bar {a}}}, an opposition. The consensus is the conjunction of the two terms, omitting both {\displaystyle a} and {\displaystyle {\bar {a}}}, and repeated literals. For example, the consensus of {\displaystyle {\bar {x}}yz} and {\displaystyle w{\bar {y}}z} is {\displaystyle w{\bar {x}}z}.[2] The consensus is undefined if there is more than one opposition.
For the conjunctive dual of the rule, the consensus {\displaystyle y\vee z} can be derived from {\displaystyle (x\vee y)} and {\displaystyle ({\bar {x}}\vee z)} through the resolution inference rule. This shows that the LHS is derivable from the RHS (if A → B then A → AB; replacing A with RHS and B with (y ∨ z) ). The RHS can be derived from the LHS simply through the conjunction elimination inference rule. Since RHS → LHS and LHS → RHS (in propositional calculus), then LHS = RHS (in Boolean algebra).
Applications
[edit ]In Boolean algebra, repeated consensus is the core of one algorithm for calculating the Blake canonical form of a formula.[2]
In digital logic, including the consensus term in a circuit can eliminate race hazards.[3]
History
[edit ]The concept of consensus was introduced by Archie Blake in 1937, related to the Blake canonical form.[4] It was rediscovered by Samson and Mills in 1954[5] and by Quine in 1955.[6] Quine coined the term 'consensus'. Robinson used it for clauses in 1965 as the basis of his "resolution principle".[7] [8]
References
[edit ]- ^ Frank Markham Brown [d], Boolean Reasoning: The Logic of Boolean Equations, 2nd edition 2003, p. 44
- ^ a b Frank Markham Brown, Boolean Reasoning: The Logic of Boolean Equations, 2nd edition 2003, p. 81
- ^ Rafiquzzaman, Mohamed (2014). Fundamentals of Digital Logic and Microcontrollers (6 ed.). John Wiley & Sons. p. 65. ISBN 978-1118855799.
- ^ "Canonical expressions in Boolean algebra", Dissertation, Department of Mathematics, University of Chicago, 1937, ProQuest 301838818, reviewed in J. C. C. McKinsey, The Journal of Symbolic Logic 3:2:93 (June 1938) doi:10.2307/2267634 JSTOR 2267634. The consensus function is denoted {\displaystyle \sigma } and defined on pp. 29–31.
- ^ Edward W. Samson, Burton E. Mills, Air Force Cambridge Research Center, Technical Report 54-21, April 1954
- ^ Willard van Orman Quine, "The problem of simplifying truth functions", American Mathematical Monthly 59:521-531, 1952 JSTOR 2308219
- ^ John Alan Robinson, "A Machine-Oriented Logic Based on the Resolution Principle", Journal of the ACM 12:1: 23–41.
- ^ Donald Ervin Knuth, The Art of Computer Programming 4A: Combinatorial Algorithms, part 1, p. 539
Further reading
[edit ]- Roth, Charles H. Jr. and Kinney, Larry L. (2004, 2010). "Fundamentals of Logic Design", 6th Ed., p. 66ff.