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Craig Interpolation Theorem

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Basic Model TheoryCompactness Theorem for First-Order LogicCraig-Lyndon Interpolation Theorem
Craig-interpolation Beth-definability implicit-definition explicit-definition interpolant

Core Idea

Craig's interpolation theorem states that if φ ⊨ ψ (φ logically implies ψ), then there exists a sentence θ — the interpolant — whose non-logical vocabulary (predicate, function, and constant symbols) is contained in both φ and ψ, such that φ ⊨ θ and θ ⊨ ψ. The interpolant captures exactly the "common content" that mediates the entailment. Beth's definability theorem follows as a corollary: if a predicate is implicitly defined by a theory (its extension is uniquely determined), then it is explicitly definable by a formula in the theory's language. Together, these results reveal deep structural properties of first-order logic connecting semantics, syntax, and definability.

How It's Best Learned

Take a concrete entailment (e.g., ∀x(P(x) → Q(x)) ⊨ ∀x(P(x) → Q(x) ∨ R(x))) and find the interpolant by hand — it must use only the shared vocabulary. Then study how Beth's theorem uses interpolation to convert implicit definitions into explicit ones.

Common Misconceptions

Explainer

You have studied FOL compactness — the theorem that a set of sentences has a model if every finite subset does — and the basics of model theory, including the connection between syntactic provability and semantic truth. Craig's interpolation theorem combines these to reveal something fundamental about how logical entailment works at the vocabulary level.

Start with an entailment: suppose φ ⊨ ψ (every model of φ is also a model of ψ). The vocabulary of φ might include predicate symbols P, Q, R, while ψ uses Q, R, S. The shared vocabulary is {Q, R}. Craig's theorem guarantees the existence of a sentence θ — the interpolant — using *only* the shared symbols Q and R, such that φ ⊨ θ and θ ⊨ ψ. The entailment from φ to ψ is mediated entirely through what they have in common; the symbols unique to each side play no essential role in the logical connection between them.

To appreciate why this is non-trivial, consider that φ might use P extensively in its internal structure. Yet when it comes to implying ψ, all the "work" that P does can be captured by a formula in the shared language. The proof typically proceeds by showing that the set of sentences in the shared vocabulary that φ implies and the set that ψ refutes are inconsistent — then using compactness or cut-elimination to extract the interpolant. The interpolant is not unique: many different sentences in the shared vocabulary can serve as the mediating step.

Beth's definability theorem is perhaps the most useful consequence. Suppose a predicate symbol P is implicitly defined by a theory T: any two models of T that agree on all non-P symbols must also agree on P's extension. Intuitively, P's meaning is "locked in" by the rest of the theory. Beth's theorem says P is then explicitly definable — there exists a formula in T's non-P vocabulary whose extension equals P's in every model. The proof uses Craig interpolation: implicit definability yields an entailment between two copies of T (one using P, one using a renamed copy P'), sharing only non-P vocabulary; the interpolant provides the explicit definition. Together, Craig and Beth show that first-order logic has no "hidden vocabulary" — any symbol that is semantically determined by a theory can be syntactically defined within that theory's language.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraIntroduction to Propositional LogicIntroduction to Predicate Logic (First-Order Logic)First-Order Logic SyntaxTerms and Atomic Formulas in FOLVariable Binding and ScopeOpen and Closed Formulas in First-Order LogicVariable Substitution and Capture-Avoidance in First-Order LogicQuantifier Instantiation Rules in First-Order Proof SystemsUniversal Quantification: Meaning and ScopeFree Variables and Bound VariablesSubstitution and Instantiation in Predicate LogicTerms and Atomic FormulasFormulas and Well-Formed ExpressionsStructures and InterpretationsModel Interpretation and SatisfactionInterpretation, Truth, and Satisfaction of FormulasLogical Consequence and EntailmentSatisfiability and UnsatisfiabilityConsistency and Inconsistency of TheoriesConsistency and InconsistencyBasic Model TheoryCraig Interpolation Theorem

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