Indice

Boolean Algebra

Introduction

The most obvious way to simplify boolean expressions is to manipulate them in the same way as normal algebraic expressions are manipulated. With regards to logic relations in digital forms, a set of rules for symbolic manipulation is needed in order to solve for the unknowns.

A set of rules formulated by the English mathematician George Boole describe certain propositions whose outcome would be either true or false. With regard to digital logic, these rules are used to describe circuits whose state can be either, 1 (true) or 0 (false). In order to fully understand this, the relation between the AND gate, OR gate and NOT gate operations should be appreciated. A number of rules can be derived from these relations as Table 1 demonstrates.

Table 1: Boolean postulates
P1 X = 0, X = 1
P2 0 · 0 = 0
P3 1 + 1 = 1
P4 0 + 0 = 0
P5 1 · 1 = 1
P6 1 · 0 = 0 · 1 = 0
P7 1 + 0 = 0 + 1 = 1

Laws of Boolean Algebra

Table 2 shows the basic Boolean laws. Note that every law has two expressions, a and b. This is known as duality. These are obtained by changing every AND (·) to OR (+), every OR to AND and all 1's to 0's and vice-versa.

Table 2: Boolean laws
L1 Commutative law a A + B = B + A
b A · B = B · A
L2 Associative Law a (A + B) + C = A + (B + C)
b (A · B) · C = A · (B · C)
L3 Distributive Law a A · (B + C) = (A · B) + (A · C)
b A + (B · C) = (A + B) · (A + C)
L4 Identity Law a A + A = A
b A · A = A
L5 a (A · B) + (A · B) = A
b (A + B) · (A + B) = A
L6 Redundancy Law a A + (A · B) = A
b A · (A + B) = A
L7 a 0 + A = A
b 0 · A = 0
L8 a 1 + A = 1
b 1 · A = A
L9 a !A + A = 1
b !A · A = 0
L10 a A + (!A · B) = A + B
b A · (!A + B) = A · B
L11 De Morgan's Theorem a !(A + B) = !A ·! B
b !(A · B) = !A + !B

Original text composed by David Belton - April 98
(Original page was at www.ee.surrey.ac.uk/Projects/Labview/boolalgrebra — now on web archive)
Edited by Federico Scala, January 2005
Wikified by Federico Scala, October 2017