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Satisfaction of Formulas in Structures

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Structures and InterpretationsLogical Consequence and Validity
semantics models first-order-logic

Core Idea

A formula φ is satisfied in a structure M (M ⊨ φ) if it evaluates to true under M's interpretation. Satisfaction is defined recursively: atomic formulas based on the interpretation, compound formulas based on connective truth conditions, quantified formulas based on existence or universality of satisfying variable assignments.

Explainer

From your study of structures and interpretations, you know that a structure M for a first-order language L consists of a non-empty domain |M|, an interpretation of each constant symbol as an element of |M|, each function symbol as an actual function on |M|, and each predicate symbol as a subset of |M|ⁿ (a set of n-tuples). Satisfaction is the bridge between this semantic object and the syntactic formulas of L. It answers the question: is formula φ true in M?

The definition is recursive on formula structure. For atomic formulas, the base cases: a formula P(t₁, …, tₙ) is satisfied in M (under variable assignment s) if the tuple (t₁^(M,s), …, tₙ^(M,s)) — where each tᵢ^(M,s) evaluates the term under M and s — belongs to the interpretation of P. For example, if M = (ℕ, <) and φ is "x < y", then M ⊨ φ[s] if and only if s(x) < s(y) in the natural number ordering. The atomic case grounds everything in the concrete interpretation.

Compound formulas follow classical truth tables. M ⊨ ¬φ [s] iff M ⊭ φ[s]. M ⊨ φ ∧ ψ [s] iff both M ⊨ φ[s] and M ⊨ ψ[s]. Similarly for ∨ and →. Nothing surprising here — the connectives just propagate truth values computed by the recursive calls. The interesting case is quantifiers. M ⊨ ∃x φ [s] iff there exists some element a ∈ |M| such that M ⊨ φ[s(x↦a)] — that is, some assignment of x to a concrete domain element makes φ true. M ⊨ ∀x φ [s] iff for every a ∈ |M|, M ⊨ φ[s(x↦a)]. The notation s(x↦a) means the assignment that maps x to a and agrees with s on all other variables.

For a sentence (a formula with no free variables), the truth value does not depend on the variable assignment — the assignment only matters for the free variables, and sentences have none. So we write M ⊨ φ without an assignment. The sentence ∀x∀y (x < y → ∃z (x < z ∧ z < y)) says "between any two elements there is a third." It is true in (ℚ, <) and false in (ℤ, <) — in the integers, there is nothing between 3 and 4. This single example shows how satisfaction is sensitive to the structure's domain, not just its signature. The same formula, different structure, different truth value. The satisfaction relation ⊨ is thus a relation between structures and sentences, and understanding it is the entire foundation for model theory, logical consequence, and the notion of what a mathematical statement "means."

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 InterpretationsSatisfaction of Formulas in Structures

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