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Syntactic Consequence (⊢) Versus Semantic Consequence (⊨)

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Logical Consequence and EntailmentSoundness and Completeness of First-Order Logic+1 more→→Gödel's Completeness Theorem for First-Order LogicLogical Consequence and Validity
consequence entailment soundness completeness

Core Idea

Γ ⊢ φ (syntactic consequence) means φ can be derived from Γ using inference rules of a proof system. Γ ⊨ φ (semantic consequence) means φ is true in all models where Γ is true. The two notions are distinct: ⊢ is about provability, ⊨ is about validity. Soundness says ⊢ ⇒ ⊨ (no false proofs), and completeness says ⊨ ⇒ ⊢ (no missing proofs). For first-order logic, completeness holds, so the two notions coincide. Understanding their relationship is key to foundational logic.

How It's Best Learned

Illustrate with examples in propositional logic using truth tables. Discuss a simple proof system and verify soundness. Distinguish the two notions by considering unprovable but valid formulas (before completeness is proved) and unprovable invalid formulas. Understand that completeness is a non-trivial metatheorem, not an axiom.

Common Misconceptions

Explainer

You already know that logical consequence (⊨) is a semantic relation — Γ ⊨ φ when φ is true in every model satisfying Γ — and you know the soundness and completeness results for both propositional logic and first-order logic. The distinction between ⊢ and ⊨ is the distinction between *how reasoning is implemented* and *what reasoning is about*. One is a mechanical, syntactic procedure; the other is a mathematical relationship defined by truth in models. They answer the same question from different angles.

Concretely: Γ ⊢ φ says that starting from Γ, you can derive φ by applying the rules of some proof system in a finite sequence of steps. The derivation is a formal object — a string of symbols manipulated according to fixed rules, with no reference to meaning. Γ ⊨ φ says that for every interpretation that makes Γ true, that interpretation also makes φ true. This is an infinitary claim about all possible models, which may be uncountable in number. The two notions are defined entirely independently; their relationship is a theorem, not a definition.

Soundness (⊢ implies ⊨) is proved by structural induction on proofs: every axiom is semantically valid, and every rule of inference preserves truth. This shows the proof system is trustworthy — it cannot derive something false from true premises. Completeness (⊨ implies ⊢) is the non-trivial direction. For propositional logic, completeness can be established by a truth-table argument or by a normal form argument. For first-order logic, Gödel's 1929 proof constructs a model from "syntactic objects" — maximal consistent sets of sentences — and shows that the constructed model satisfies exactly what is consistent with Γ. Completeness says the proof system is *powerful enough* to capture all semantic truth.

With both soundness and completeness in hand, ⊢ and ⊨ are extensionally equivalent for first-order logic: Γ ⊢ φ if and only if Γ ⊨ φ. This does *not* mean they are the same concept. They can diverge in weaker or stronger logics: second-order logic is sound but *not complete* — there are semantic truths with no second-order proof. Intuitionistic logic has a proof system that differs from classical logic even though both target "truth in models." The distinction between ⊢ and ⊨ remains conceptually crucial even when they coincide, because it separates the question of *what can be proved* (a computational, proof-search question) from *what is true* (a model-theoretic question). Completeness is the lucky coincidence that, for classical first-order logic, the two questions have the same answer.

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 → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Syntactic Consequence (⊢) Versus Semantic Consequence (⊨)

Longest path: 87 steps · 446 total prerequisite topics

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