Model theory

Satisfiability

In mathematical logic, a formula is satisfiable if it is true under some assignment of values to its variables. For example, the formula is satisfiable because it is true when and , while the formula is not satisfiable over the integers. The dual concept to satisfiability is validity; a formula is valid if every assignment of values to its variables makes the formula true. For example, is valid over the integers, but is not. Formally, satisfiability is studied with respect to a fixed logic defining the syntax of allowed symbols, such as first-order logic, second-order logic or propositional logic. Rather than being syntactic, however, satisfiability is a semantic property because it relates to the meaning of the symbols, for example, the meaning of in a formula such as . Formally, we define an interpretation (or model) to be an assignment of values to the variables and an assignment of meaning to all other non-logical symbols, and a formula is said to be satisfiable if there is some interpretation which makes it true. While this allows non-standard interpretations of symbols such as , one can restrict their meaning by providing additional axioms. The satisfiability modulo theories problem considers satisfiability of a formula with respect to a formal theory, which is a (finite or infinite) set of axioms. Satisfiability and validity are defined for a single formula, but can be generalized to an arbitrary theory or set of formulas: a theory is satisfiable if at least one interpretation makes every formula in the theory true, and valid if every formula is true in every interpretation. For example, theories of arithmetic such as Peano arithmetic are satisfiable because they are true in the natural numbers. This concept is closely related to the consistency of a theory, and in fact is equivalent to consistency for first-order logic, a result known as Gödel's completeness theorem. The negation of satisfiability is unsatisfiability, and the negation of validity is invalidity. These four concepts are related to each other in a manner exactly analogous to Aristotle's square of opposition. The problem of determining whether a formula in propositional logic is satisfiable is decidable, and is known as the Boolean satisfiability problem, or SAT. In general, the problem of determining whether a sentence of first-order logic is satisfiable is not decidable. In universal algebra, equational theory, and automated theorem proving, the methods of term rewriting, congruence closure and unification are used to attempt to decide satisfiability. Whether a particular theory is decidable or not depends whether the theory is variable-free and on other conditions. (Wikipedia).

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Related pages

Constraint satisfaction | Satisfiability modulo theories | Interpretation (logic) | Undecidable problem | Karp's 21 NP-complete problems | Mathematical optimization | Syntax (logic) | Decision problem | Propositional calculus | Automated theorem proving | Model theory | Theory (mathematical logic) | David Hilbert | Well-formed formula | Universal algebra | Congruence closure | Entscheidungsproblem | Peano axioms | Atomic formula | Integer programming | Variable (mathematics) | RE (complexity) | Decidability (logic) | Co-NP-complete | System of linear equations | Atomic sentence | Cylindrical algebraic decomposition | Finite model property | Trakhtenbrot's theorem | Boolean satisfiability problem | Second-order logic | Finite model theory | Consistency | Hilbert's tenth problem | Logical constant | Axiom | Mathematical logic | Unification (computer science) | 2-satisfiability | Gödel's completeness theorem | Computational complexity theory | Square of opposition | Linear inequality | Logical conjunction | Classical logic | Validity (logic) | First-order logic | Linear programming