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Satisfaction of Formulas in Structures

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Structures and Interpretations→→Logical 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 Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Satisfaction of Formulas in Structures

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