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Natural Deduction for First-Order Logic

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First-Order Logic SyntaxNatural Deduction for Propositional Logic+2 more→→Proof Strategies and Heuristics in Natural DeductionQuantifier Instantiation Rules in First-Order Proof Systems+1 more
natural-deduction quantifier-rules universal existential FOL-proof

Core Idea

Natural deduction for FOL extends propositional natural deduction with four quantifier rules. Universal introduction (∀I) derives ∀x φ(x) from φ(a) where a is an arbitrary fresh constant not mentioned elsewhere. Universal elimination (∀E) instantiates ∀x φ(x) to φ(t) for any term t. Existential introduction (∃I) derives ∃x φ(x) from φ(t). Existential elimination (∃E) discharges an assumption φ(a) when proving a conclusion that does not mention the fresh constant a. The freshness conditions on ∀I and ∃E are critical: they formalize the logical principle that reasoning about 'an arbitrary object' must not smuggle in extra assumptions.

How It's Best Learned

Prove simple theorems like ∀x P(x) → ∀x (P(x) ∨ Q(x)) in Fitch notation before attempting ∃-elimination. Pay close attention to which constants appear in the context when applying freshness conditions.

Common Misconceptions

Explainer

You already know natural deduction for propositional logic: every connective has an introduction rule (how to prove it) and an elimination rule (how to use it). FOL natural deduction extends this system by giving introduction and elimination rules for the two quantifiers ∀ and ∃. The rules look symmetric on the surface but have subtly different constraints that reflect a deep logical distinction: the difference between *an arbitrary object* and *a specific unknown object*.

Universal elimination (∀E) is the simple one: from ∀x φ(x), you can derive φ(t) for *any* term t you like. If everything has a property, then this specific thing has it. No freshness condition is needed — t can be anything, including terms that already appear in your proof. This is just instantiation. Universal introduction (∀I) is the inverse and is more constrained: to derive ∀x φ(x), you must have derived φ(a) where a is a fresh constant — one that doesn't appear in any undischarged assumption. The fresh constant represents a *generic* object: if you proved φ(a) without using any special property of a, then a stands for any object whatsoever, and you're entitled to universally generalize.

Existential introduction (∃I) is also unconstrained: from φ(t), derive ∃x φ(x). You have a witness, so something satisfies the property. Existential elimination (∃E) is the tricky rule. From ∃x φ(x) and a derivation of conclusion C from assumption φ(a) (where a is fresh), you may derive C. The idea: you don't know *which* object witnesses ∃x φ(x), so you name it a and reason from what you know about it (just that it satisfies φ). If you reach a conclusion C that doesn't mention a, then C holds regardless of which witness a actually is. The freshness condition on a is essential: if a appeared in your other assumptions or in C, your reasoning would smuggle in extra information about the witness, corrupting the inference.

A worked example cements the rules. Prove ∃x P(x) → ∃x (P(x) ∨ Q(x)). Assume ∃x P(x). Apply ∃E: assume P(a) for fresh a. By ∃I on P(a) ∨ Q(a) (derived via ∨I from P(a)), derive ∃x (P(x) ∨ Q(x)). This conclusion doesn't mention a, so ∃E discharges the assumption P(a) and gives ∃x (P(x) ∨ Q(x)) from ∃x P(x). The proof works because a serves as a stand-in for "whichever object witnesses the existential" — we don't need to know which one it is, only that it satisfies P. This four-rule extension of propositional natural deduction is complete for FOL: every valid first-order sentence has a natural deduction proof.

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 → Substitution and Unification → Natural Deduction for First-Order Logic

Longest path: 76 steps · 389 total prerequisite topics

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