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DEGREE OF SATISFIABILITY IN HEYTING ALGEBRAS

Degree of satisfiability in Heyting algebras
Authors: Benjamin Merlin Bumpus; Zoltan A. Kocsis;

DEGREE OF SATISFIABILITY IN HEYTING ALGEBRAS

Abstract

AbstractWe investigate degree of satisfiability questions in the context of Heyting algebras and intuitionistic logic. We classify all equations in one free variable with respect to finite satisfiability gap, and determine which common principles of classical logic in multiple free variables have finite satisfiability gap. In particular we prove that, in a finite non-Boolean Heyting algebra, the probability that a randomly chosen element satisfies $x \vee \neg x = \top $ is no larger than $\frac {2}{3}$ . Finally, we generalize our results to infinite Heyting algebras, and present their applications to point-set topology, black-box algebras, and the philosophy of logic.

Related Organizations
Keywords

Logic, Model theory of finite structures, intuitionistic logic, Combinatorics, degree of satisfiability, Heyting algebras (lattice-theoretic aspects), FOS: Mathematics, extremal combinatorics, Heyting algebras, Combinatorics (math.CO), Logic (math.LO), Subsystems of classical logic (including intuitionistic logic), 06D20, 03B20, 03C13

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green