Boolean Reasoning: The Logic of Boolean Equations by Frank Markham Brown

By Frank Markham Brown

This booklet is set the good judgment of Boolean equations. Such equations have been significant within the "algebra of good judgment" created in 1847 by means of Boole [12, thirteen] and devel­ oped by means of others, significantly Schroder [178], within the rest of the 19th century. Boolean equations also are the language during which electronic circuits are defined this present day. Logicians within the 20th century have deserted Boole's equation­ established common sense in want of the extra robust predicate calculus. consequently, electronic engineers-and others who use Boole's language routinely-remain principally blind to its software as a medium for reasoning. the purpose of this booklet, for that reason, is to is to give a scientific define of the good judgment of Boolean equations, within the desire that Boole's tools could end up worthwhile in fixing present-day difficulties. Logical Languages good judgment seeks to minimize reasoning to calculation. major languages were built to accomplish that item: Boole's "algebra of common sense" and the predicate calculus. Boole's process used to be to symbolize periods (e. g. , satisfied creatures, issues efficient of enjoyment) via symbols and to symbolize logical statements as equations to be solved. His formula proved insufficient, besides the fact that, to symbolize traditional discourse. a few nineteenth-century logicians, together with Jevons [94], Poretsky [159], Schroder [178], Venn [210], and Whitehead [212, 213], sought a far better formula according to ex­ tensions or adjustments of Boole's algebra. those efforts met with purely constrained success.

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B) (gh)(Xb . , ... ))(h(Xb .. )). (xih(O, ... ) + xlh(l, .. )) = xi (g(O, ... )h(O, .. )) + xI(g(l, .. )h(l, ... )) = xi[(gh)(O, .. )] + xI[(gh)(l, .. , ... ) = (g(XI' .. ))' = (xig(O, ... ))' = (Xl + (g(O, ... )),)(xi + (g(l, ... ))') = xi[(g')(O, .. )] + xl[(g')(1, .. )] + [(g')(O, ... )][(g')(1, .. )] = xi[(g')(O, .. )]. 32), the rule of consensus. x2, ... ) = [xi + f(1,x2, . )]. [Xl + f(0,X2, .. )]. 41) If f: B n ---+ B is an n-variable Boolean function and if a is an element of g: Bn-l---+B defined by B, then the (n - I)-variable function is also a Boolean function (the proof is left as an exercise).

0, 0) f(O, ... ,0, 1) x~ + f(l, ... , 1, 1) Xl ••• Xn-lX n • ... , f(l, ... ,l,l) x~ ... x~_l x~ .. 42) The values f(O, ... , 0, 0), f(O, ... , 0,1), are elements of B called the discriminants of the function f; the elementary products are called the minterms of X = (Xl, ••• , x n ). ) The discriminants carry all of the information 40 CHAPTER 2. BOOLEAN ALGEBRAS concerning the nature of fj the minterms, which are independent of f, are standardized functional building-blocks. 42) the minterm canonical form of f and denote it by MCF(j).

Nothing is an n-variable Boolean function unless its being so follows from finitely many applications of rules 1, 2, and 3 above. 1 Given B = {O, 1,a',a}, let us construct the function-table for the two-variable Boolean function I: B2 ---7 B corresponding to the Boolean formula a'x + ay'. We observe that the domain, B X B = {(O,O),(O,l), ... 3. 3: Function-table for a' x + ay' over {O, 1, a'a}. The rules defining the set of Boolean functions translate each n-variable Boolean formula into a corresponding n-variable Boolean function (which is said to be represented by the formula), and every n-variable Boolean function is produced by such a translation.

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