Differential and Integral Calculus for Logical Operations. A Matrix-Vector Approach
Eduardo Mizraji

TL;DR
This paper develops a matrix-vector based calculus for Boolean functions that incorporates logical semantics, enabling derivatives and integrals of logical expressions to analyze and simplify complex logical formulas.
Contribution
It introduces a novel matrix-vector formalism for logical calculus that includes derivatives and integrals, extending classical logic with fuzzy-logic concepts.
Findings
Derived derivatives for basic logical operations.
Established a hierarchical system of tautologies linked by differentiation.
Demonstrated simplification of complex formulas using logical derivatives.
Abstract
A variety of problems emerged investigating electronic circuits, computer devices and cellular automata motivated a number of attempts to create a differential and integral calculus for Boolean functions. In the present article, we extend this kind of calculus in order to include the semantic of classical logical operations. We show that this extension to logics is strongly helped if we submerge the elementary logical calculus in a matrix-vector formalism that naturally includes a kind of fuzzy-logic. In this way, guided by the laws of matrix algebra, we can construct compact representations for the derivatives and the integrals of logical functions. Inside this semantic-algebraic calculus, we obtain expressions for the derivatives of some of the basic logical operations and show the general way to obtain the derivatives of any well-formed formula of propositional calculus. We show that…
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